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Comparison of Conducted Emissions Due to Electric Vehicle Charging Processes under Isolated and On-Line Conditions in the 9-500 kHz Frequency Range Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-28 Jon González-Ramos, Alexander Gallarreta, Igor Fernández, Itziar Angulo, David de la Vega, Amaia Arrinda
This paper aims at comparing the conducted emissions generated by Electric Vehicle Charging Processes (EVCPs) under isolated and on-line conditions in the frequency and time domains, covering the 9-500kHz frequency range. The isolated conditions correspond to the use of a Line Impedance Stabilization Network (LISN), whereas measurements in the Low Voltage (LV) grid where the EV is connected are referred
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Methods for mitigating uncertainty in real-time operations of a connected microgrid Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-28 Subrat Prasad Panda, Blaise Genest, Arvind Easwaran, Rémy Rigo-Mariani, Pengfeng Lin
In this paper, we compare the effectiveness of a two-stage control strategy for the energy management system (EMS) of a grid-connected microgrid under uncertain solar irradiance and load demand using a real-world dataset from an island in Southeast Asia (SEA). The first stage computes a day-ahead commitment for power profile exchanged with the main grid, while the second stage focuses on real-time
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Sizing and experimental validation of a selfsync droop-based grid forming inverter with direct voltage control Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-27 Philippe Morey, Marc Pellerin, Douglas Houmard, Mokhtar Bozorg, Mauro Carpita
Currently, the transient stability of the grid is mainly ensured by the inertial behavior of its synchronous generators. The increase of renewable energy sources connected to the grid through grid following (GFL) inverters is severely affecting the inertia of the grid and its stability is beginning to be compromised. Moreover, in case of a large disturbance, these renewable energy sources disconnect
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Enhancing power communication network security: A comprehensive cyber risk visual analytics framework with real-time risk assessment Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-23 Xiaoli Lin, Yu Yao, Bo Hu, Wei Yang, Xiaoming Zhou, Wenjie Zhang
Risk assessment is an effective way to counter cyber-attacks on the power communication network. However, many existing methods are imbalanced and overlook the security state of the attack source, leading to inaccuracies. To address these shortcomings, this paper presents a cyber risk visual analytics framework that effectively combines cyber risk assessment with network alarm visual analytics. For
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Virtual testbed for development and evaluation of power system digital twins and their applications Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-22 Zhiwei Shen, Felipe Arraño-Vargas, Georgios Konstantinou
Digital twins (DTs) show considerable promise for development of applications and solutions across a diverse range of power system services. Ensuring these applications function as intended without causing disruptions or unexpected issues requires comprehensive testing prior to practical deployment. However, current approaches to power system digital twin (PSDT) application development and testing
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Effect of photovoltaic penetration level and location on power system transient stability during symmetrical and unsymmetrical faults Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-22 Rashad M. Kamel, Sultan Sh. Alanzi, Yasmeen M. Al Hashemi
Due to the constant growth in the power demand and the raised risks from unsustainable energy resources, it is essential to continue investigating the operations of renewable energy sources (RESs), such as photovoltaic (PV) systems. Integrating conventional power system with PV plants creates challenges that affect the overall stability of the power system. In this work, the effects of PV penetration
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Optimal Operational Planning of Distribution Systems: A Neighborhood Search-based Matheuristic Approach Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-22 Jairo Yumbla, Juan M. Home-Ortiz, Tiago Pinto, João P.S. Catalão, José R.S. Mantovani
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Federated Dueling DQN Based Microgrid Energy Management Strategy in Edge-Cloud Computing Environment Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-22 Haitao Li, Yanhong Yang, Yiran Liu, Wei Pei
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Optimal Two-Stage Dispatch Method of Distribution Network Emergency Resources under Extreme Weather Disasters Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-21 Chao Qin, Jiani Lu, Yongkang Zeng, Jiancun Liu, Guilian Wu, Hao Chen
In recent years, frequent extreme weather disasters have posed severe challenges to the safe and reliable power supply of distribution networks. In this paper, a resilience enhancement method is proposed for distribution networks, which establishes the full-phase analytical modeling of the distribution system defense and recovery process under extreme events, i.e., pre-event phase, degradation phase
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Pattern-based integration of demand flexibility in a smart community network operation Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-20 Farhad Angizeh, Mohsen A. Jafari
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Identifying the decarbonization paths for new energy passenger cars in China Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-20 Bo Ren, Huajiao Li, Xiaojie Liu, Di Dong, Ning Ma, Xinxin Zheng, Yuqi Zhang
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A new decentralized Multi-agent System for Peer-to-Peer energy market considering variable prosumer penetration with privacy protection Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-19 Tayfur Gökçek, Mehmet Tan Turan, Yavuz Ateş
The requirement of large scale optimization of the power system environment brings out decentralized solutions in terms of applicability and economic feasibility, and trade relationship between prosumers at different power levels fed from the same point of common coupling point is important for a balanced economic profit. Moreover, ideal segmentation with a large scale participation is another economic
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Transmission expansion planning in a wind-dominated power system: A closed-loop approach Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-18 Adham E. Ragab, Mohammed A. El-Meligy
The current paradigm for the transmission expansion planning (TEP) problem follows an open-loop (OL) approach. This approach first executes an accuracy-oriented forecasting method to predict the available wind power, demand, and spinning and non-spinning reserve (SR and NSR) requirements. Afterward, the TEP problem is solved based on these predictions. However, this OL model does not necessarily obtain
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Aggressive pre-cooling of an office building to reduce peak power during extreme heat days through passive thermal storage Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-17 Jason Jarvinen, Mark Goldsworthy, Peter Pudney, Stephen White, Lui Cirocco, Frank Bruno
Extreme temperatures can cause strain on electrical energy infrastructure. Additionally, network infrastructure and generators are sized for peak consumption. Hence, higher peak usage leads to higher electricity costs to build and maintain this capacity. Emergency energy reserve supply or demand response during energy shortages can come at a cost orders of magnitude higher than normal. Commercial buildings
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A Hybrid Clustering Approach for Electrical Load Profiles Considering Weather Conditions Based on Matrix-Tensor Decomposition Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-17 Betsy Sandoval Guzmán, Emilio Barocio Espejo, Miriam Elser, Petr Korba, Felix Rafael Segundo Sevilla
In modern power systems, information from different sources is metered using various monitoring technologies such as energy consumption from Smart Meters (SM). These data are known as internal variables since they are measured directly from the power system. Additionally, some external variables must be monitored because of their strong and direct influence over the internal variables, for instance
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Distributed stochastic energy coordination for residential prosumers: Framework and implementation Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-17 Juan A. Dominguez, Kodjo Agbossou, Nilson Henao, Shaival H. Nagarsheth, Javier Campillo, Luis Rueda
This paper addresses the problem of energy coordination among customers in a local energy market to meet heating needs. Accordingly, this paper proposes a demand response framework for the energy coordination of multiple residential prosumers in a hierarchical coordination game-theoretic scenario. That consists of a benevolent coordinator and multiple residential prosumers integrated with solar PV
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Distributionally robust decarbonizing scheduling considering data-driven ambiguity sets for multi-temporal multi-energy microgrid operation Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-17 Miaorui Ma, Chengwei Lou, Xiangmin Xu, Jin Yang, Jake Cunningham, Lu Zhang
As concerns about environmental sustainability continue to grow, the demand for effective low-carbon energy management becomes increasingly pressing. This study presents a novel framework for multi-temporal multi-energy microgrids (MMGs), integrating advanced low-carbon technologies to meet this imperative. The framework ensures flexible operations to navigate uncertainties stemming from renewable
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Novel applications of various neural network models for prediction of photovoltaic system power under outdoor condition of mountainous region Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-16 Amit Kumar Yadav, Rohit Khargotra, Daeho Lee, Raj Kumar, Tej Singh
The geography and landscape of mountainous locations are frequently varied, which causes uneven solar radiation exposure in different places which leads to photovoltaic (PV) power generation variation drastically. Therefore accurate PV power prediction is essential for industries in optimize energy production, Energy Planning and Grid Integration, Energy Storage Integration in such diverse conditions
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Intelligent fault tolerant energy management system using first-price sealed-bid algorithm for microgrids Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-15 Mansour Selseleh Jonban, Luis Romeral, Mousa Marzband, Abdullah Abusorrah
In the current landscape of the power industry, computer-based algorithms play a pivotal role in monitoring and controlling distributed energy resources. The prevalence of artificial intelligence algorithms has underscored the need for stability and fault tolerance in power systems, particularly in the realm of smart control, to prevent disruptions such as blackouts. This paper introduces a fault-tolerant
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Probabilistic CDF-based load forecasting model in a power distribution system Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-15 Gulcihan Ozdemir
The study searches for a probabilistic forecasting model for electric power demand based on the correlation between weather temperature and electric power demand using hourly time series data spanning a year. The model is based on the temperature and power demand data's cumulative probability distribution functions or CDFs. In probabilistic forecasting, a range of potential values and their associated
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Solar radiation forecasting using gradient boosting based ensemble learning model for various climatic zones Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-15 Naveen Krishnan, K. Ravi Kumar, Sripathi Anirudh R.
India is seeing a massive boost in solar power installations in the recent years. It is expected that solar energy utilization will be increasing exponentially in near future. Solar radiation forecasting is an essential tool to obtain the optimal performance out of the solar systems. An ensemble model using gradient boosting has been developed for hourly global horizontal irradiance forecasting is
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A Novel Approach for Residential Load Identification Based on Dynamic Time Warping Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-15 Ardan Hüseyin Eşlik, Emre Akarslan, Rasim Doğan
This paper proposes a new approach for load identification using a combination of fast Fourier transform (FFT) and dynamic time warping (DTW) techniques. In this approach, first, the current signals of each load device are measured individually and in various combinations to generate reference signals. FFT is then used to obtain meaningful features from the measured signals, while DTW is employed to
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An adaptive control strategy with a mutual damping term for paralleled virtual synchronous generators system Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-13 Xian Gao, Dao Zhou, Amjad Anvari-Moghaddam, Frede Blaabjerg
When multiple virtual synchronous generators (VSGs) operate in parallel, load disturbance or the change of setpoint can induce serious frequency and active power oscillations. To address this problem, an adaptive control strategy with a mutual damping term is proposed in this paper. Firstly, the impacts of the moment of inertia and damping coefficient on the characteristics of the VSGs are analyzed
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Plug-In Electric Vehicle Dynamic Pricing Strategies for Bidirectional Power Flow in Decentralized and Centralized Environment Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-13 Durgesh Choudhary, Rabindra Nath Mahanty, Niranjan Kumar
With the increasing number of plug-in electric vehicles (PEV) power demand management without increasing existing facilities is becoming challenging. To address the issue two novel pricing strategies one for centralized and other for decentralized environments considering bidirectional flow of power in a dynamic power pricing market are proposed in this paper. The two proposed strategies aim to fulfil
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The impact of V2G charging stations (active power electronics) to the higher frequency grid impedance Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-13 Bernhard Grasel, José Baptista, Manfred Tragner
Renewable energy generation technologies, heat pumps or electric vehicle (EV) charging stations use active power electronics such as IGBT or MOSFET for AC to DC conversion with the consequence of emissions in the higher frequency range above 2kHz (non-intentional supraharmonic emissions) and with an impact to the higher frequency grid impedance. In this study the impact of active power electronics
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Microgrid sizing and energy management using Benders decomposition algorithm Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-13 Célia Masternak, Simon Meunier, Stéphane Brisset, Vincent Reinbold
Microgrids are of increasing interest because they can facilitate the integration of renewable energy sources. To make the most of microgrids, optimization problems are formulated and solved to determine their optimal planning (i.e. sizing and energy management). However, these problems are complex and time-consuming to solve. In this article, we focus on a temporal decomposition based on Benders’
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A deep clustering framework for load pattern segmentation Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-13 Abhimanyu Kumar, Rammohan Mallipeddi
In recent years, the widespread use of smart meters in power networks has generated a wealth of data from electricity customers. However, much of this real-world smart meter dataset lacks labeled data, posing a significant challenge that can be addressed by clustering. Traditional clustering methods often struggle in high-dimensional spaces, leading to less accurate results and increased computational
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A risk-aware and second-order cone programming model for wind expansion planning considering correlated uncertainties using the copula method Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-12 Hossein Ranjbar, Hossein Saber
Integration of large-scale renewable energy sources (RESs) into existing power grids is challenging for power system operators and planners due to the intermittent and uncertain characteristics of RESs and the limitation of transmission capacity. This paper presents a new risk-based framework to obtain the optimal placement and sizing of wind farms in the bulk power system considering the impact of
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Formal analytics for stealthy attacks against Contingency Analysis in power grids Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-12 Md Hasan Shahriar, Mohammad Ashiqur Rahman, Mohamadsaleh Jafari, Sumit Paudyal
Contingency Analysis (CA) is a critical part of the Energy Management System of a power grid, ensuring the optimal operating set-points without violating constraints, even in the face of contingency events. CA relies on State Estimation (SE) to perform its analysis, paving the way for Security Constrained Optimal Power Flow (SCOPF) that ensures optimal economic generator dispatches, even in scenarios
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A distributed short-term load forecasting method in consideration of holiday distinction Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-09 Long Luo, Jizhe Dong, Qi Zhang, Shengyao Shi
Accurate forecasting of power load is essential for effective power system scheduling. This paper presents a short-term load forecasting method utilizing the neural network architecture of long short-term memory (LSTM) and deep residual network (ResNet). The approach incorporates region division and holiday distinction techniques. Through the clustering algorithm, the predicted region is subdivided
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Probabilistic Emergency Demand Response Planning Considering Overhead Lines Time Varying Thermal Ratings for Reliability Enhancements Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-09 Mohamed Galeela, Abdullah Altamimi, Konstantinos Kopsidas, Heba Hassan
Increasing operational flexibility in the face of uncertainties is an everlasting challenge for existing power networks, especially with rapid demand growth and high penetration of renewable energy resources (RES). This study proposes an innovative power network reliability evaluation framework that integrates a pre-defined demand response scheme employed under emergency conditions. This integration
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Boosting short term electric load forecasting of high & medium voltage substations with visibility graphs and graph neural networks Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-09 Nikolaos Giamarelos, Elias N. Zois
Modern power grids are faced with a series of challenges, such as the ever-increasing demand for renewable energy sources, extensive urbanization, climate and energy crisis, which set new standards and requirements in terms of their stability, sustainability and security, paving the way to transition to smart grids. Energy management, planning and control systems that include state-of-the-art technologies
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Design and Planning of Repurposed/Reused Electric Vehicles Batteries in Isolated Microgrids Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-08 Talal Alharbi, Kankar Bhattacharya, Mehrdad Kazerani
Repurposed Electric Vehicle Batteries (REVBs) are gaining increasing attention as an alternate option to new Battery Energy Storage Systems (BESS) in microgrids. In this context, incorporating microgrid’s adequacy requirements as well as power sharing of multiple REVB-based units within the planning framework is essential. In this paper, a comprehensive multi-year, multi-unit REVB-based microgrid planning
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Day ahead demand response model with algorithm-based consumption classification and tariff planning Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-08 Mustafa Şen Yıldız, Kadir Doğanşahin, Bedri Kekezoğlu
Demand Response (DR) programs effectively support the supply-demand balance in power systems. This study proposes a new Time-of-Use (ToU) tariff model, a type of price-based demand response (DR). The proposed model aims to shape the daily consumption profile of the distribution region by encouraging consumers through tariffs. Generally, in ToU demand management, various presumptions are being adopted
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A decentralized optimization approach to the power management of electric vehicles parking lots Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-07 Virginia Casella, Giulio Ferro, Michela Robba
To reduce the transportation sector's environmental impact, a transition to electric mobility is being witnessed worldwide. However, to avoid any issues on the grid, the charging process of electric vehicles (EVs) must be carefully managed. One valid solution to this problem is aggregating EVs and managing their collective charge and discharge. Parking lots equipped with charging stations are likely
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A multi-objective two-stage stochastic programming approach for wind farms and demand side provider decisions using the weighted metric method Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-07 Mahrou Pouladkhay, Maziar Mirhosseini Moghaddam, Alireza Sahab
The rapid expansion of wind-based renewable energy sources highlights the critical need to enhance reserve capacity within power systems. This research aims to develop an effective model for harnessing the combined potential of flexible demand-side resources, acting as demand-side providers (DSPs), to address the inherent unpredictability of wind power. The DSP framework comprises three demand response
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An expert system-based restoration method for energy services Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-07 Waqas Ahmad, Babar Shah, Tariq Hussain, Shaker EI-Sappagh, Farman Ali
The modernization of electric power systems and the increasing use of sensitive loads in commercial, industrial, and residential distribution networks have created a growing demand for high-quality supplies. To address these challenges, this study proposes using an expert system approach to provide practical and reliable restoration plans and explicit scenes that can aid dispatchers in achieving their
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Switching attack modeling and vulnerability analysis of generator for dynamics study Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-07 Seema Yadav, Nand Kishor, Shubhi Purwar, Petra Raussi, Saikat Chakrabarti
This paper presents novel insights about cyber-attacks in the power network and their consequence in terms of stability. Compared to existing cyber-attack related studies in power system, the work discusses switching attack construction and evaluates the impact on generator dynamics. As such, the study is in two folds; (i) switching attack construction, with selection of switching instants based on
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Coordinated integration of wind energy in microgrids: A dual strategy approach leveraging dynamic thermal line rating and electric vehicle scheduling Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-07 Tianhua Song, Jiashen Teh
As the world shifts towards sustainable energy, integrating wind energy as a key renewable resource is crucial, despite the challenge of its intermittent output. This paper proposes an integrated approach to enhance wind energy utilization within microgrids, introducing a novel synergy of Dynamic Thermal Line Rating (DTLR) and Electric Vehicle (EV) scheduling. This synergy dynamically adjusts power
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Low carbon and economic optimal operation of electricity-gas integrated energy system considering demand response Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-06 Jiandong Duan, Yerui Xia, Ran Cheng, Qi Gao, Fan Liu
Integrated Energy System is an important direction for the transformation of the power industry. IES can give full play to the complementary role of multiple energy sources and serve to achieve the industry's energy saving and emission reduction goals. Firstly, this paper establishes a P2G refined operation model considering two stages of hydrogen production from electrolytic water and hydrogen methanation
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A reinforcement learning energy management strategy for fuel cell hybrid electric vehicles considering driving condition classification Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-05 Xu Kang, Yujie Wang, Zonghai Chen
The energy management strategy is one of the core technologies to ensure the safe and efficient operation of the fuel cell vehicle. In this paper, a reinforcement learning energy management strategy for fuel cell and lithium-ion battery hybrid powertrain based on driving condition recognition is proposed. Specifically, an unsupervised clustering strategy is used for the classification of vehicle driving
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Smart grid cyberattack types classification: A fine tree bagging-based ensemble learning approach with feature selection Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-05 V.O. Ijeh, W.G. Morsi
This paper focuses on the detection and classification of the cyberattack types in smart grid substation automation systems. The previous work in the literature focuses only on the detection of the attacks without providing any information regarding the attack’s type, which is a key in identifying the appropriate countermeasures. In this paper, a novel approach that uses a fine tree bagging ensemble
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Multi-time scale optimization study of integrated energy system considering dynamic energy hub and dual demand response Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-03 Guanxiong Wang, Chongchao Pan, Wei Wu, Juan Fang, Xiaowang Hou, Wenjie Liu
The development of integrated energy system (IES), is one of the current hot topics in energy research. However, simplifying models often assumes constant energy conversion device efficiency during optimized operation, which leads to impractical operating modes for the IES. Additionally, the outcomes of device outputs vary across different time scales. The inaccuracy and temporal dispersion of energy
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Strategies for increasing hosting capacity in PV-rich LV feeders via radiality-imposed reconfiguration Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-02 Muhammed Sait Aydin
With the growing volume of photovoltaic (PV) systems in residential low-voltage (LV) feeders, the voltage rise has become a widespread issue. In order to address this challenge, therefore, this paper proposes extending a radiality-imposed reconfiguration approach, which has proven to be an effective method at the medium voltage (MV) level to the LV level. To cater for the complexity inherent to LV
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An effective hybrid wind power forecasting model based on "decomposition-reconstruction-ensemble" strategy and wind resource matching Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-02 Yi Xiao, Sheng Wu, Chen He, Yi Hu, Ming Yi
The random and fluctuating nature of wind energy brings tremendous challenges and disturbances to the security operation of wind power systems, accurate wind power prediction can effectively reduce these negative impacts. To this end, this paper proposes a hybrid wind power prediction model based on the "decomposition-reconstruction-ensemble" strategy, which consists of four main components, namely
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An approach to optimizing the layout of charging stations considering differences in user range anxiety Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-02 Dong Guo, Ruiyuan Liu, Minghui Li, Xiaochuan Tan, Pengcheng Ma, Hongjia Zhang
Range anxiety is an important factor affecting the travel quality of electric vehicle drivers, and clarifying the formation mechanism of range anxiety and proposing strategies to eliminate range anxiety are key issues that need to be addressed. Firstly, in view of the fact that most of the current range anxiety studies do not fully consider the impact of the range anxiety differentiation, we establish
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Evaluation of regression models and Bayes-Ensemble Regressor technique for non-intrusive load monitoring Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-02-01 Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila, Benoit Delinchant, Frederic Wurtz
Non-Intrusive Load Monitoring (NILM) is referred to as the task of decomposing the aggregated power load of a residential or commercial building into appliance-level consumption without the installation of dedicated smart meters. NILM, mostly considered as a supervised learning problem, is crucial for energy monitoring and management as this approach can detect load malfunction and prevent wastage
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A profitability optimization approach of virtual power plants comprised of residential and industrial microgrids for demand-side ancillary services Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-28 Yu Chen, Zhen Li, Samson S. Yu, Bin Liu, Xi Chen
Nowadays, the high proportion of renewable energy integration continuously boosts the grid’s demand for regulation capacity. But the reasonable utilization remains challenged between the regulation capacity of demand-side resources and the complementary characteristics between market players. This paper primarily investigates the issues of complementary synergy among different types of resources and
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Modelling, Simulation and Hardware analysis of misalignment and compensation topologies of wireless power transfer for Electric Vehicle Charging application Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-24 Shabeena Viqar, Aqueel Ahmad, Sheeraz Kirmani, Yasser Rafat, Md Reyaz Hussan, Mohammad Saad Alam
Electric vehicles (EVs) are one of the most effective means for reducing pollution and promoting sustainable transportation in developing nations. Researchers have been paying close attention to the rapid advancement of Wireless power transfer (WPT) technology because it offers a workable solution to the challenges preventing the development of EVs. EV charging uses WPT technology that transmits electricity
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A novel feedback control algorithm for effective design of reconfigurable battery packs for electric vehicles Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-23 Sai Lokesh Gorantla, Bibaswan Bose, Wei Li, Akhil Garg, Liang Gao, B.Chitti Babu
The conventional battery packs with set configurations, often used in electric vehicles (EVs), include several safety attributes, although they cannot effectively optimise cell selection for powering the system. Neglect of battery's recovery effect results in inefficient use of the energy at hand. Furthermore, certain amount of energy is used in process of voltage control to operate the motor at designated
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Efficient energy management in smart grids with finite horizon Q-learning Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-19 Vivek V.P, Shalabh Bhatnagar
Efficient energy distribution in smart grids is an important problem driven by the need to manage increasing power consumption across the globe. This problem has been studied in the past using different frameworks including Markov Decision Processes (MDP) and Reinforcement Learning. However, existing algorithms in Reinforcement Learning Theory largely deal with infinite horizon decision making. On
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A hetero-functional graph structural analysis of the American Multi-Modal Energy System Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-17 Dakota J. Thompson, Amro M. Farid
As one of the most pressing challenges of the 21st century, global climate change demands a host of changes across four critical energy infrastructures: the electric grid, the natural gas system, the oil system, and the coal system. Unfortunately, these four systems are often studied individually, and rarely together as integrated systems. Instead, holistic multi-energy system models can serve to improve
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Low carbon economy scheduling of integrated energy system considering the mutual response of supply and demand Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-18 Tao Yi, Weijia Ren
The intermittency and uncertainty of new energy can easily lead to a mismatch between the supply and demand of energy, which limits the wide application of integrated energy systems. Based on these considerations, we propose an optimal scheduling model for an IES considering the bilateral interaction mechanism between supply and demand and the reward-penalty ladder type of carbon trading. Firstly,
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Active distribution network expansion planning considering microgrids for supplying critical loads Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-18 Reza Sheikhinejad, G.B. Gharehpetian, Hasan Rastegar
The expansion planning of active distribution networks is a crucial aspect of modern power system planning. In recent years, there has been an increasing need to consider the integration of microgrids in these networks. To address this challenge, a new model has been proposed that enables different options for increasing the capacity of existing substations, adding new ones, allocating and utilizing
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Performance monitoring and redesign of power system stabilizers based on system identification techniques Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-15 Xavier Bombois, Luigi Vanfretti
To maintain stable power system operation, damping control systems are used in conventional power plants, known as Power System Stabilizers (PSS). However, to derive suitable controller parameters, the current methods require dynamic models that are difficult to maintain and update, and in some cases, might not be available. This makes it challenging for grid operators to maintain system stability
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Multistage planning for active power distribution systems with increasing penetration of prosumers and electric vehicles Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-15 Jonathan A. Marcelo, Gregorio Muñoz-Delgado, Diogo Rupolo, Javier Contreras, José R.S. Mantovani
This paper proposes a new model for the multistage planning of active distribution systems, considering the participation of prosumers and electric vehicles (EVs) and their increasing penetration. The planning problem is formulated as a mixed-integer quadratic programming (MIQP) model and solved through a novel matheuristic technique that can attain high-quality local optimal solutions, while guaranteeing
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RETINA: Distributed and secure trust management for smart grid applications and energy trading Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-13 Vaios Bolgouras, Thodoris Ioannidis, Ilias Politis, Apostolis Zarras, Christos Xenakis
The rapid adoption of smart grids demands robust security and efficiency measures due to their critical role in delivering electricity and their potential for customer-oriented benefits. This article presents an innovative framework, named RETINA, which provides a resilient and secure energy trading mechanism within smart grid systems. RETINA tackles the inherent security and infrastructure challenges
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Wind power investment equilibrium guided by reliability option considering electricity-carbon emission trading-trading green certificate joint market Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-08 Yuanhao Feng, Qiyuan Liu, Donghan Feng, Yun Zhou
Reliability option is a capacity adequacy mechanism and it is coupled with electricity market, carbon emission trading market and trading green certificate market. This article explores the impact of implementing the RO mechanism in a multi-market trading context on wind power investment equilibrium and user side cost, under different demand elasticities and the degrees of competition on the generation
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Enhancing network-constrained P2P energy sharing through virtual communities Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-09 Monika Mishra, Amit Singh, Rakesh Kumar Misra, Devender Singh
Peer-to-peer (P2P) exchanges provide opportunities for prosumers to meet their energy needs cost-effectively with the effective utilization of renewable energy sources (RES). Along with the benefits, P2P energy trading also raises issues in distribution network operations. The proposed framework has the potential to handle transactions in regard to network constraints by leveraging the benefits of
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Highly Fluctuating Short-term Load Forecasting Based on Improved Secondary Decomposition and Optimized VMD Sustain. Energy Grids Netw. (IF 5.4) Pub Date : 2024-01-05 Yan Wen, Su Pan, Xinxin Li, Zibo Li
Short Term Load Forecasting (STLF) is a critical task in the power sector, enabling efficient resource allocation and grid management. However, the volatile and complex nature of short-term load series pose significant challenges to forecasting models. Traditional decomposition-prediction models are bottlenecked in that they often lack complexity-based clustering for efficiency and optimization of