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Optimal scheduling of a renewable energy-based park power system: A novel hybrid SDDP/MPC approach Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-03-02 Qiang Lei, Yuan Huang, Xiao Xu, Feng Zhu, Yuyan Yang, Junyong Liu, Weihao Hu
This paper proposes a hybrid real-time scheduling scheme for a park power system at multi-time scale, including stochastic dual dynamic programming (SDDP) and model predictive control (MPC). This approach realizes hierarchical suppression of real-time power fluctuation of distributed generation and load. Multiple uncertainties, including generation and consumerload, are considered to achieve better
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A bi-level time-of-use transmission pricing model based on spot markets at both ends Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-03-01 Jianhua Li, Jinyuan Liu, Jichun Liu, Junyong Liu, Youbo Liu
The electricity delivered by inter-regional line projects is impacted by the operation of spot market, the previously approved fixed transmission pricing method based on planned electricity may not be fully applicable. To solve the above problem, the Time-of-Use transmission pricing method for inter-regional line with spot market at both ends is proposed in this paper. Firstly, it analyses the impact
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Demand response program integrated with self-healing virtual microgrids for enhancing the distribution system resiliency Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-03-01 Motahhar Tehrani Nowbandegani, Mehrdad Setayesh Nazar, Mohammad Sadegh Javadi, João P.S. Catalão
This paper proposes a comprehensive optimization program to increase economic efficiency and improve the resiliency of the Distribution Network (DN). A Demand Response Program (DRP) integrated with Home Energy Storage Systems (HESSs) is presented to optimize the energy consumption of household consumers. Each consumer implements a Smart Home Energy Management System (SHEMS) to optimize their energy
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An optimal cyber–physical attack strategy on DC microgrids Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-03-01 Mohammadmahdi Asghari, Amir Ameli, Mohsen Ghafouri, Aram Kirakosyan
This paper proposes an optimal attack strategy against Direct Current MGs (DCMGs). In the proposed strategy, attackers first eavesdrop on the data communicated between a target converter and the MG Control Center (MGCC) to model (i) the converter by its state-space representation using system identification techniques, and (ii) the rest of the system by its Thevenin equivalent circuit using the least-square
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Medium voltage level power control using distributed photo-voltaic generation and hydrogen storage Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-03-01 Miguel Parada Contzen
The increasing deployment of renewable energy sources (RES) in distribution circuits emphasizes the importance of smart grids, utilizing distributed generation (DG), control actuation, and communication technologies. Among these technologies, distributed photo-voltaic (PV) systems significantly impact reactive power injection at the root node, necessitating control of sub-station power factor. This
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Hybrid synchronization based grid forming control for photovoltaic inverter with frequency support Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-03-01 Rongcai Pan, Guangfu Tang, Yanan Wu, Jie Yang, Dong Liu
In this paper, the hybrid synchronization based grid forming (HS-GFM) control and coordination strategy are proposed for the inverter and boost converter to provide frequency support. As the main contribution, the inertia power and damping power are designed with HS-GFM based coordination strategy between inverter and boost converter. The inertia power can be obtained from DC capacitor and photovoltaic
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Probabilistic planning of a battery energy storage system in a hybrid microgrid based on the Taguchi arrays Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-29 Fabio Mottola, Daniela Proto, Angela Russo
The transformation of electrical networks in the context of the new smart grid paradigm unavoidably involves new challenges for electrical component planning. This paper provides a tool for the probabilistic sizing of a battery energy storage system in a hybrid AC/DC microgrid (i.e., a microgrid including AC and DC subsections with AC and DC loads and renewable power generation). The procedure is based
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Two-port-network-based decoupled impedance modeling method of DFIG system and DC-link coupling analysis Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-29 Liang Huang, Chao Wu, Dao Zhou, Frede Blaabjerg
The doubly-fed induction generator (DFIG) has been widely used in the field of wind generation. However, due to the couplings on both dc-side and ac-side, the full-order small-signal impedance model of the DFIG system is hard to build. A conventional modeling method is assuming a constant dc-link voltage to ignore the dc-side coupling. However, the reasonability of this assumption has not been demonstrated
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A sufficient condition for small-signal synchronization stability with applications to PLL-dominated oscillation mode analysis Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-29 Qianhong Shi, Guanzhong Wang, Lei Ding, Zhijun Wang, Wei Wang
Small-signal instability in a wide frequency range due to the dynamic interaction between converters and the AC grid has attracted wide attention in recent years. Various impedance/admittance-based analysis methods are frequently adopted to resolve such problems. However, the stability criterion of the heterogeneous multi-converter system is not visually straightforward with admittance-based methods
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Probabilistic optimization based adaptive neural network for short-term wind power forecasting with climate uncertainty Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-29 Yu Zhou, Ruochen Huang, Qiongbin Lin, Qinqin Chai, Wu Wang
Advanced wind power prediction technique plays an essential role in the stable operation of the grid with large-scale grid integration of wind power. Most research focuses on distance-based static classification where the subjective nature of initial center selection increases the uncertainty of the prediction. And the data classification on a daily basis neglects the potentially significant climate
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Error bound of convex approximation for optimal power flow model: A general solving approach based on optimality gap Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-28 Zhexin Fan, Zhifang Yang, Juan Yu
Regarding the nonconvexity of the optimal power flow (OPF) problem, power industry typically employs convex approximation approaches to satisfy the computational demand. However, the accuracy performances of the convex OPF models are hard to be predicted in actual operating power systems. To control the maximum effect of the approximation error on power dispatch, it is important to solve and compare
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Impact of risk measures and degradation cost on the optimal arbitrage schedule for battery energy storage systems Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-28 Pedro Luis Camuñas García-Miguel, Jaime Alonso-Martinez, Santiago Arnaltes Gómez, José Luis Rodríguez-Amenedo
The deployment of energy storage systems to the grid is expected to mitigate the effects of load imbalances caused by the variability of renewable energy sources. To motivate the investments in grid-connected energy storage systems, these projects must be economically feasible. This can be approached by optimizing the energy arbitrage scheduling process. A common approach is to consider this process
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A coordinated restoration method of three-phase AC unbalanced distribution network with DC connections and mobile energy storage systems Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-28 Chengwei Lou, Lu Zhang, Wei Tang, Jin Yang, Liang Min
In the rapidly changing domain of hybrid AC/DC urban distribution networks, this research unveils a groundbreaking method for the restoration of three-phase unbalanced systems by astutely harnessing the unique potential of DC line interconnections. At the heart of this innovation lies the synthesis of symmetrical Second Order Cone Programming (SOCP) with a sophisticated topology search technique, a
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A stochastic multi-range robust approach for low carbon technology participation in electricity markets Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-28 Arman Alahyari, Charalampos Patsios, Natalia-Maria Zografou-Barredo, Timur Saifutdinov, Ilias Sarantakos
Ambitious emission reduction targets require fostering more low-carbon technologies (LCTs) in distribution networks. Projections for future energy use predict a significant implementation of these technologies in residential areas. Despite this, individually they cannot effectively participate in electricity markets. This study examines the potential participation of residential LCTs (RLCTs) in multiple
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Volt–Var curve determination method of smart inverters by multi-agent deep reinforcement learning Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-28 Satoshi Takayama, Atsushi Ishigame
Reactive power control of PV inverters can be applied to mitigate the voltage increase caused by reverse power flow and voltage fluctuations caused by PV output fluctuations in the distribution system. This paper focuses on the Volt–Var control of PV smart inverters to minimize power losses. It proposes a multi-agent type cooperative voltage control framework to optimize the blind band and slope of
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Robust planning upon unit commitment Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-28 Ce Shang, Ling Li, Yuyou Ge, Suwei Zhai, Xinfu Song, Qian Cao, Qian Ai
Introducing operational flexibility in power system planning has motivated the development of planning models to be built upon and validated by unit commitment. While handling uncertainty, these models form a holistic robust optimization that makes three groups of decisions in a single model, namely investment, commitment, and dispatch. A dilemma arises when aligning commitment with other decisions
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Distributed energy management of multi-area integrated energy system based on multi-agent deep reinforcement learning Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-26 Lifu Ding, Youkai Cui, Gangfeng Yan, Yaojia Huang, Zhen Fan
This paper addresses the problem of distributed energy management in multi-area integrated energy systems (MA-IES) using a multi-agent deep reinforcement learning approach. The MA-IES consists of interconnected electric and thermal networks, incorporating renewable energy sources and heat conversion systems. The objective is to optimize the operation of the system while minimizing operational costs
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A robust damping control for battery energy storage integrated power systems to mitigate inter-area oscillations Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-26 Rohit Kumar, Soumya R. Mohanty, M.K. Verma
This paper presents the effect of a Battery Energy Storage System (BESS) on the power system inter-area oscillations under changing load conditions. The dynamic interaction between the BESS control modes and synchronous generators, along with BESS control parameters, influence the damping of prominent inter-area oscillations under different loading conditions. Furthermore, mixed sensitivity scheme-based
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An accurate admittance model of grid-connected converter with droop control Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-26 Shunliang Wang, Haijun Liu, Junpeng Ma, Lin Feng, Tianqi Liu, Zihao Wu, Ruogu Wang
The droop control scheme is widely applied for the paralleled operation of the grid-connected converter. Yet, the frequency-domain admittance model for the grid-connected converter with droop control is still inaccurate due to the complex coupling relation of the droop control loop, the voltage control loop, and the current control loop. To address this problem, the coupling relationship of these control
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Robust stochastic optimal dispatching of integrated electricity-gas-heat system considering generation-network-load uncertainties Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-24 Hongwei Li, Hongpeng Liu, Jianwei Ma, Jiacheng Wang
Integrated energy systems with the deep coupling of electric power, natural gas, and heat have attracted much interest lately. In the modeling of such an integrated electric-gas-heat system (IEGHS), there is the problem of generation–load uncertainty. The literature has not yet addressed the uncertainties related to pipeline parameters and buried temperature in a natural gas network. To fill this gap
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SpeCluRC-NTL: Spearman’s distance-based clustering Reservoir Computing solution for NTL detection in smart grids Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-24 Adrià Serra, Alberto Ortiz, Diana Manjarrés, Mikel Fernández, Erik Maqueda, Pau Joan Cortés, Vincent Canals
Smart grids are ushering in a transformative era for energy distribution and consumption, yet their emergence also brings forth novel security and fraud detection challenges. The intricacy of detecting fraud within smart grids demands sophisticated techniques for scrutinizing vast volumes of time series data. This work introduces a novel approach that integrates time series aggregation functions, time
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Low-frequency oscillations damping with doubly-fed induction generators embodying grid-forming control with hardware-in-the-loop simulation Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-23 Jesús Castro Martínez, Francisco Gonzalez-Longatt, Santiago Arnaltes Gómez, José Luis Rodríguez Amenedo
The integration of wind power generation into modern power systems necessitates the development of advanced control strategies to enhance grid stability and reliability. Among these strategies, grid-forming control has emerged as a promising solution, enabling converter-interfaced generation technologies to provide services traditionally supplied by conventional generation. This paper specifically
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Multi-objective optimization based demand response program with network aware peer-to-peer energy sharing Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-23 Abhishek Tiwari, Bablesh K. Jha, Naran M. Pindoriya
Demand-side energy management programs, such as Demand Response (DR) and Peer-to-Peer (P2P) energy sharing, have recently begun to be implemented to optimize the integration of distributed clean energy resources and to leverage generation and demand-side flexibility in the distribution system. In general, if not optimally planned, P2P energy sharing may have a negative impact on power distribution
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Discrete control for state of charge balance in DC microgrids considering the disturbance of photovoltaics Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-23 Boxi Li, Tao Huang, Zhengmin Kong, Lei Chen, Jiajia Yang, Shikuan Sun
This study examines State of Charge (SoC) balancing control in DC microgrids subject to photovoltaic (PV) fluctuations, aiming to optimize power distribution in energy storage systems influenced by PV disturbances. The proposed approach enhances both the lifespan of storage systems and microgrid stability. To mitigate voltage variation due to PV perturbation, the paper introduces an adjustment in droop
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Data-driven-based distributionally robust optimization approach for a virtual power plant considering the responsiveness of electric vehicles and Ladder-type carbon trading Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-22 Yue Chen, Yuguang Niu, Chenzhi Qu, Ming Du, Jiahui Wang
To encourage the utilization of decentralized renewable energy systems, a data-driven-based distributionally robust optimization (DRO) model is proposed for a virtual power plant (VPP) considering the responsiveness of electric vehicles (EVs) and a ladder-type carbon trading mechanism (LT-CTM). An EV virtual energy storage (EV-VES) calculation model for dispatchable power is formulated to facilitate
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A novel fault detection algorithm for high voltage DC networks Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-22 Mihaela Damian, Ioan Catalin Damian, Andreea Iantoc
Faults in high voltage DC networks can lead to inefficient operation, power outage or even equipment damage. Therefore, several approaches have been proposed to monitor, detect, and handle such problems. Due to high currents during faults, run-time for detecting malfunctions is crucial. Thus, fast recognition of small deviations that might lead to an abnormal operation is quintessential in minimizing
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Modeling wind energy imbalance risk in medium-term generation planning models: A methodological proposal for large scale applications Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-22 Geovanny Marulanda, Antonio Bello, Javier Reneses
Wind power is one of the most important renewable energy sources worldwide. However, integrating these technologies in electricity markets faces challenges due to the intermittent wind speed, resulting in potential imbalances within power grids and subsequent inefficiencies. Traditional approaches for modeling the uncertainty simulate fixed wind power values in operational and planning models, which
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Hypertuned temporal fusion transformer for multi-horizon time series forecasting of dam level in hydroelectric power plants Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-21 Stefano Frizzo Stefenon, Laio Oriel Seman, Luiza Scapinello Aquino da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho
This paper addresses the challenge of predicting dam level rise in hydroelectric power plants during floods and proposes a solution using an automatic hyperparameters tuning temporal fusion transformer (AutoTFT) model. Hydroelectric power plants play a critical role in long-term energy planning, and accurate prediction of dam level rise is crucial for maintaining operational safety and optimizing energy
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Hybrid design of active and passive strategy to suppress high-frequency resonances of MMC-based system Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-21 Hailiang Xu, Chunzhen Liu, Pingjuan Ge, Mingkun Gao
In recent modular multilevel converter (MMC)-based projects, high-frequency resonance (HFR) incidents have posed severe threat to the grid security. Although the active methods have been suggested, they cannot completely eliminate the HFR risk of MMC system. The hybrid method, i.e., combining the active and passive ones may be a solution to solve the HFR problem. However, the existing hybrid methods
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Assessment of the synthetic inertial response of an actual solar PV power plant Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-21 Raquel Villena-Ruiz, Andrés Honrubia-Escribano, Jesús C. Hernández, Emilio Gómez-Lázaro
As the large-scale integration of renewable energy grows, inertia in power systems is reduced, which causes the rate of change of frequency to increase and worsens the frequency nadir during disturbances. There is, therefore, an urgent need to accelerate the development of international standards and regulations that require solar PV systems and other renewable installations to also contribute to stability
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Robust optimization based coordinated network and source planning of integrated energy systems Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-21 Liang Chen, Dandan Yang, Jun Cai, Ying Yan
The optimal operation of integrated energy systems is affected by the network structure and source configuration in planning process. With the rapid developments of renewable energies, the optimal size and location of sources under uncertainty conditions should be considered in the planning. A robust optimization based coordinated network and source planning method of integrated energy systems is proposed
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A multi-purpose battery energy storage system using digital twin technology Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-21 Weichao Li, Deyu Cai, Shouyuan Wu, Gang Zhang, Feng Zhang
This paper presents a concept of multi-purpose Battery Energy Storage System (BESS) which is integrated into a large wind farm (WF). The BESS aims to suppress the fluctuation of the output of active power and reactive power of the wind farm WF, participate in frequency regulation and damp low-frequency oscillations. Firstly, the concept and structure of the multi-purpose of BESS is presented. After
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An efficient cross-entropy method addressing high-dimensional dependencies for composite systems reliability evaluation Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-20 Yuan Zhao, Jia Chen, Linhua Liu, Xueyuan Cheng, Kaigui Xie, JiaQin Hu, Qi Wang
Cross-entropy (CE) based importance sampling (IS) accelerates the reliability evaluation of power system greatly, but is mainly focused on the CEIS of independent random variables (RVs) or low-dimensional correlated RVs (CRVs). To extend the CE method to high-dimensional CRVs while avoiding the “curse of dimensionality” in optimizing a high-dimensional IS probability density function (IS-PDF), an efficient
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Adaptive RoCoX droop control strategy for AC/DC hybrid microgrid Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-20 Yan Du, Pengyu Chong, Xin Wang, Xiangzhen Yang, Shiyou Yang
With the increasing application of virtual inertia in microgrid design, AC and DC subgrids in hybrid microgrids (HMG) present diverse inertia characteristics. However, an HMG cannot achieve an optimal dynamic response by interconnecting multiple AC and DC virtual inertia scenarios. Therefore, a droop controller with a normalized rate of the change of DC voltage and AC frequency (RoCoX) is proposed
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Small-signal model-based stability analysis for single-phase cascaded H-bridge STATCOM considering time delay Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-20 Chenxuan Liao, Zihao Liu, Hengyi Wang, Fei Gao
The paper develops a small-signal model for single-phase cascaded H-bridge (CHB) STATCOM, incorporating the time delay, and conducts a comprehensive stability analysis, encompassing eigenvalue analysis, participation factor analysis, and sensitivity analysis. In practice, relying on digital control technology, Static Synchronous Compensator (STATCOM) control has the inherent control delay problem of
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Distributed optimization of station-network collaborative operation and alliance benefit allocation for integrated energy system Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-20 Shaomin Wang, Shouxiang Wang, Qianyu Zhao, Xuan Wang, Zhuoran Lin
With the increasingly urgent need to build a clean and efficient energy system, the interaction between energy station and networks is closer and the coupling relationship becomes more complex. To break energy barriers in independent solution of energy subsystems and solve the problem of privacy disclosure caused by centralized solution of integrated energy system, a distributed optimization of station-network
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Transient DC-link voltage oscillation stability assessment of VSC-HVDC systems using Lyapunov direct method Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-19 Xu Zhang, Zhiguo Hao, Jiapeng Li, Songhao Yang, Yujun Li
Lyapunov direct method is utilized in this paper to reveal the transient voltage oscillation stability mechanism for VSC-HVDC systems. Firstly, a reduced analytical nonlinear model for transient voltage oscillation stability assessment is proposed, which is a Liénard system. Based on the proposed model, a novel Lyapunov function is constructed and the conservative stability boundary is depicted, which
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Resilient power system planning using probabilistic health indices Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-19 Yue Wang, Victor Levi, Yu Li, Dragan Ćetenović, Vladimir Terzija
In the last price control review, the UK regulator has specified a common set of “network output measures” that includes both system-wide and individual asset metrics. This paper introduces a two-stage framework for the replacement planning and develops the second – simulation stage. It consists of two Monte Carlo procedures, where the latter is based on the proposed probabilistic health index (HI)
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An enhanced method for fault location in distribution systems based on optimal power flow Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-19 Carla Farage Cavalari, Antônio Sobrinho Campolina Martins, Débora Rosana Ribeiro Penido, Leandro Ramos de Araujo
This paper proposes a method based on synchronized RMS measurements and an optimal power flow for fault location in Distribution Systems (DS). A modified interior point method is adopted to improve the accuracy of the fault location process. Simulations were carried out on the IEEE13, IEEE34, IEEE123, and IEEE8500 node test feeders, and the results showed that it presents a great performance in terms
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Cross-entropy based importance sampling for composite systems reliability evaluation with consideration of multivariate dependence Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-19 Yuan Zhao, Xueyuan Cheng, Jia Chen, Kaigui Xie, Jiaqin Hu
Multivariate kernel density estimation (KDE) is powerful for dependence modeling, but producing a non-sparse probability density estimation model. To address this issue, a sparse density estimation technique termed as generalized cross-entropy (GCE) density estimator, is proposed to estimate the joint probability density function (PDF) of correlated random variables (RVs). Moreover, to effectively
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Edge-graph convolution and multi-hop attention jointly driven small-signal stability assessment against topology changes Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-19 Jiyu Huang, Lin Guan, Mengxuan Guo, Zihan Cai, Siting Zhu, Yihan Lin
Data-driven small-signal assessment (SSA) is promising for long-term power system operation security. Existing SSA schemes are sensitive to unseen topology changes, especially when aimed at inter-area modes. We propose a Multi-hop Edge-Graph based Deep Learning (MEGDL) model for the SSA based on steady-state measurements. The core MEGDL includes multiple blocks. Each block utilizes not only the edge-graph
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Vulnerability analysis of cyber-physical power systems based on failure propagation probability Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-18 Qingyu Su, Jixiang Sun, Jian Li
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Techno-economic analysis of electrical flexibility in combustion-based district heating systems: A Swiss case study Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-16 Roberto Rocca, Lorena Elorza-Uriarte, Itziar Zubia, Daniele Farrace, Riccardo Toffanin, David Miguel Rivas-Ascaso
Nowadays, the expected growth of local flexibility markets and demand-response mechanisms is urging researchers and practitioners to obtain flexibility from all possible devices, including those historically considered as “stiff”. To this end, this work proposes an alternative control strategy for combustion-based district heating systems allowing the pumping system to operate as a flexible load. The
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Rule-based shields embedded safe reinforcement learning approach for electric vehicle charging control Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-16 Yuxiang Guan, Jin Zhang, Wenhao Ma, Liang Che
The optimal and secure electric vehicles charging control can be formulated as a large-scale partially-observable constrained Markov decision process (PO-CMDP) problem with high levels of security risks and uncertainties. Such a problem is very difficult to be handled by optimization-theory-based methods. Data-driven methods, especially reinforcement learning (RL), are suitable for handling uncertainties
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K-Medoids clustering applications for high-dimensionality multiphase probabilistic power flow Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-15 Antônio Sobrinho Campolina Martins, Leandro Ramos de Araujo, Débora Rosana Ribeiro Penido
Actual power systems’ planning studies require the stochastic modeling of networks due to their increasing penetration of uncertain parameters, such as probabilistic-nature loads and renewable generation features. Although numerous Probabilistic Power Flow (PPF) methods have been presented in the literature, the scalability of such tools is still under study due to the ‘curse of dimensionality’, which
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Distributed optimization of integrated energy system considering demand response and congestion cost allocation mechanism Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-15 Jie Yang, Mengshi Yang, Kai Ma, Chunxia Dou, Tieding Ma
The fluctuation of energy price and the expensive energy cost during the peak period will affect the living cost of users, and transmission congestion will also bring additional transmission costs. To solve this problem, this paper establishes the demand response model of energy users. Users can obtain a lower energy price by adjusting their replaceable load and price load. This paper uses cooperative
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Multi-terminal negative sequence directional pilot protection method for distributed photovoltaic and energy storage distribution network Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-14 Jing Zhang, Botong Li, Fahui Chen, Bin Li, Xiaotong Ji, Fan Xiao
After high proportion of distributed photovoltaic and energy storage is connected to the distribution network by distributed multi-point T-connection, the traditional two-terminal directional pilot protection criterion will be affected by the output characteristics of distributed generation (DG) fault current, which leads to the wrong judgment of the fault direction. In response to the asymmetric fault
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A fault detection method for transmission line components based on synthetic dataset and improved YOLOv5 Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-12 Jie Song, Xinyan Qin, Jin Lei, Jie Zhang, Yanqi Wang, Yujie Zeng
To address insufficient fault images for transmission line components (TLCs) and low accuracy in fault detection using deep learning techniques, we propose a fault detection method for TLCs based on synthetic datasets and improved YOLOv5. First, we introduce a synthetic image approach that uses prior information from the inspection process of a developed flying-walking power transmission line inspection
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Extensive assessment of virtual synchronous generators in intentional island mode Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-12 Costantino Citro, Mohammed Al-Numay, Pierluigi Siano
Virtual Synchronous Generators (VSGs) are considered one of the most effective cutting-edge technologies for seamlessly integrating Renewable Energy Systems (RESs) into power grids. While various VSG control schemes have been proposed and analysed for different technical aspects, not many experimental demonstrations have been published about VSGs operating in Intentional Island Mode (IIM). Inversely
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A reactive power-based adaptive approach for synchronization of DFIG into the weak grid to support existing WE infrastructure Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-10 Gajendra Singh Chawda, Abdul Gafoor Shaik
The synchronization of the Doubly-Fed Induction Generator (DFIG) into the weak AC grid is significantly affected due to the reactive power limitations associated with the built-in converter of the existing Wind Energy (WE) system. This is further restricted due to non-linear loads and Power Quality (PQ) deterioration. Therefore, there is a strong need for a system capable of managing reactive power
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Augmented virtual impedance-based fault ride through of islanded microgrids under harmonic and unbalanced conditions Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-10 Zahra Dehghani Arani, Seyed Abbas Taher, Josep M. Guerrero
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A grid forming controller with integrated state of charge management for V2G chargers Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-10 Ander Ordono, Francisco Javier Asensio, Jose Antonio Cortajarena, Inmaculada Zamora, Mikel González-Pérez, Gaizka Saldaña
Vehicle-to-grid (V2G) technology offers an innovative solution to provide grid services using electric vehicle (EV) batteries. This work proposes a novel grid forming (GFM) controller for V2G applications which can ensure the voltage source behaviour and provide support to the grid, regardless of the state of charge (SoC) and the charging requirements of the battery. This is achieved by integrating
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Real-time estimation of time-varying inertia for non-synchronous devices using streaming dynamic mode decomposition Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-10 Yulong Li, Wei Yao, Yifan Zhao, Wei Huang, Suwei Zhai, Wenyun Li, Jinyu Wen, Yongjun Xia
With the increasing integration of renewable and non-synchronous resources, the declining level of inertia poses a threat to the stability of power systems. This paper delves into the mechanism of time-varying inertia within mainstream non-synchronous devices and proposes a real-time estimation technique to estimate the constant and time-varying inertia associated with them. By applying the numerical
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Peer-to-peer energy trading participating in ancillary service market as federated power plants Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-10 Yuanxing Xia, Qingshan Xu, Yang Li, Hao Fu, Linjun Shi, Keman Lin, Feng Wu
The high penetration of distributed renewable energy resources (DERs) on the user side is essential for developing the low-carbon power system. Peer-to-peer (P2P) energy trading has emerged as an effective method to consume the DERs’ surplus energy locally. However, the uncertainty of massive DERs poses challenges to the system operation. We thus propose a coupling market framework, where the P2P energy
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Optimal super twisting sliding mode control strategy for performance improvement of islanded microgrids: Validation and real-time study Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-10 Nourhan A. Maged, Hany M. Hasanien, Essamudin A. Ebrahim, Marcos Tostado-Véliz, Francisco Jurado
It is essential to improve optimal control for an autonomous microgrid operation. This paper presents a novel application of an artificial hummingbird algorithm for achieving optimal control of an autonomous microgrid. It also suggests a comparative analysis for the optimal super-twisting sliding mode control with both optimal fuzzy logic control and optimal proportional-integral control. The proposed
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Analysis of optimal grid-forming converter penetration in AC connected offshore wind farms Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-09 Callum Henderson, Agusti Egea-Alvarez, Lie Xu
The modern electricity network is seeing a trend in the replacement of fossil fuel power plants with converter interfaced generation as worldwide efforts are made to combat climate change. New converter control structures such as grid-forming are seen as a key building block for maintaining the stability of the future power system. Moreover, wind power is the fastest growing renewable technology in
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Cyberattack detection for electricity theft in smart grids via stacking ensemble GRU optimization algorithm using federated learning framework Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-08 Jun Wang, Yifei Si, Yonghai Zhu, Kaiyang Zhang, Shanshan Yin, Bo Liu
Recently, the detection difficulty of emerging power grid cyberattacks for electricity theft far surpasses that of traditional physical power theft behavior. Reliable cyberattack detection is of great importance for ensuring stable smart grid operation and protecting the interests of power supply companies. Recently, a few studies have demonstrated acceptable performance in detecting individual or
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Power coupling and stability analysis of GFM due to rotational frames and control loops interaction Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-08 Xianfu Lin, Jimmy Chih-Hsien Peng, Qiuyang Li, Da Cheng, Jingrong Yu, He Wen
The power coupling issue in grid-forming converters (GFMs) is an emerging concern within power systems dominated by inverter-based resources. Specifically, the phase difference between two rotational frames, i.e., system/grid and controller frames, has not been associated with the power coupling effect. It is demonstrated that such phase difference causes interaction between the inner and power control
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Adaptive current injecting strategy for VSC-HVDC connected offshore wind farms during symmetrical faults Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-07 Bin Xu, Houlei Gao, Fang Peng
For the voltage source converter based high voltage direct current transmission (VSC-HVDC) connected offshore windfarm, loss of synchronization (LOS) during the AC collection and transmission system faults can lead to frequency shift and low-voltage ride-through (LVRT) failure. Moreover, the fault characteristics, such as voltage profile and phase angle difference between currents at both ends of transmission
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Collaborative carbon emission reduction in power supply and demand entities based on blockchain technology Int. J. Electr. Power Energy Sys. (IF 5.2) Pub Date : 2024-02-06 Junxiang Li, Xuan Liu, Xinping Shao
The task of carbon emission reduction is severe in the power industry in China under the national goal of “carbon peaking and carbon neutrality”. The current carbon reduction is mainly based on supply side, but the effect is limited. To solve this problem, this paper proposed a coordinated supply–demand carbon emission reduction strategy based on blockchain technology. Based on the carbon emission