Presents the table of contents for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Advertisement.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal.

This work develops a distributed fast-frequency control framework for application in self-consuming energy communities. We propose a distributed consensus optimization of inertia coefficients based on the individual resource constraints of grid-friendly distributed energy resources ( der s), which relies on the presence of a peer-to-peer communication infrastructure. In the proposed control strategy

Interest in predicting and optimising microgrid operation with a high proportion of variable renewable energy generation is growing. In this paper, we study and experimentally analyse the performance of a Gaussian-process regression forecasting and model predictive control algorithm in the context of interconnected microgrids. The scheme, which operated at six hours time horizon, achieved superior

An improved single-unit equivalent method is proposed for large photovoltaic power plants (PVPPs) in this paper. The simulation of a 50 MW PVPP indicates that the equivalent errors are mainly caused by the inconsistence of fault ride-through (FRT) behaviors of active power between the detailed PVPP model and its traditional single-unit equivalent model. Taking a three-unit PVPP as an example, analytical

An efficient unit commitment planning must consider frequency regulation capacity in the model. Such models are more complicated under a high penetration level of renewable energy because of renewable ramping and uncertainty. This paper addresses these issues in the unit commitment. The proposed model for unit commitment considers uncertainty and ramping of wind power, frequency regulation capacity

Distribution grid planning, control, and optimization require accurate estimation of solar photovoltaic (PV) generation and electric load in the system. Most of the small residential solar PV systems are installed behind-the-meter making only the net load readings available to the utilities. This paper presents an unsupervised framework for joint disaggregation of the net load readings of a group of

Maximum power point tracking (MPPT) is used to utilize intermittent solar power fully in the photovoltaic (PV) systems. Tracking the MPP fast, and accurately with changes in the solar irradiance, and the temperature is the goal of MPPT techniques. In this paper, a hybrid MPPT method based on iterative learning control (ILC), and perturb, and observe (P&O) algorithm is proposed. ILC can deal with the

The increasing penetration of renewable energy resources in power systems, represented as random processes, converts the traditional deterministic economic dispatch problem into a stochastic one. To estimate the uncertainty in the stochastic economic dispatch (SED) problem for the purpose of forecasting, the conventional Monte-Carlo (MC) method is prohibitively time-consuming for practical applications

A multi-energy virtual power plant can be defined as flexible cooperation of multi-energy distributed energy resources including heating and cooling devices that operates as a single entity and participates in the power markets. To exploit the potential of multi-energy distributed resources, this paper proposes a model for the aggregation of a multi-energy virtual power plant that participates in day-ahead

Solar power generation is exhibiting a distributed development trend, and has changed conventional characteristics of power supply and consumption. The integration of large-scale distributed photovoltaic (PV) generation forms high-penetration PV clusters in distribution networks, which aims to organize and control geographically scattered resources. However, due to the inherent uncertainty, high-penetration

This paper presents a novel study of the wide-band spectral signatures in the controller signals of doubly fed induction generators (DFIGs) for the identification of rotor electrical faults. The aim is to advance the understanding of diagnostic information obtainable from the readily available DFIG controller signals. Analytical equations defining the controller signals possible spectral contents are

Modern distribution power systems face more complex challenges compared to the conventional systems. A powerful technique to react to such challenges is network reconfiguration, which needs to be adapted with “recent” concerns of modern power systems. Hence, it is essential to determine optimal configurations “rapidly” for better time management of hour-ahead system's decision making. This paper proposes

Due to its voltage boosting capability and current controllability, the current-source inverter (CSI) is a strong candidate for interfacing high-power photovoltaic (PV) systems with the utility grid. However, low-order harmonics from semiconductor switching or grid voltage give rise to resonance and render the converter unstable. Active damping techniques can modify the control algorithm to mitigate

To alleviate the impact of output uncertainty of renewable energy sources (RESs) in unbalanced active distribution networks (ADNs), this paper proposed a two-time scale robust optimization method for the multi-terminal soft open point (SOP). In the long-term scale, the operation points of the SOP were optimized by semidefinite programming (SDP) model to minimize system loss and mitigate voltage unbalance

In this paper, we propose an economic model predictive control (EMPC) strategy for the constrained optimization problem of the wave energy converter system. Unlike standard model predictive control (MPC) that uses the tracking cost function, in EMPC, a general economic cost function that directly reflects the economic objective of the system is established. In the wave energy converter (WEC), the general

This paper proposes a risk-averse time-series joint scheduling method to release inherent benefits for improvements on operational cost, voltage profile and risk control, through flexibility extraction from grid-storage-demand resources in active distribution networks (ADNs). In particular, a flexibility analytical framework is developed to fully harness the controllability of various resources in

As a non-causal optimal control problem, the performance of wave energy converter (WEC) control relies on the accuracy of the future incoming wave prediction. However, the inevitable prediction errors can degrade WEC performance dramatically especially when a long prediction horizon is needed by a WEC non-causal optimal controller. This paper proposes a novel non-causal linear optimal control with

Energy storage technologies are key to improving grid flexibility in the presence of increasing amounts of intermittent renewable generation. We propose an insurance contract that suitably compensates energy storage systems for providing flexibility. Such a contract provides a wider range of market opportunities for these systems while also incentivizing higher renewable penetration in the grid. We

Geographically distributed wind turbines, photovoltaic panels and sensors (e.g., pyranometers) produce large volumes of data that can be used to improve renewable energy sources (RES) forecasting skill. However, data owners may be unwilling to share their data, even if privacy is ensured, due to a form of prisoner's dilemma: all could benefit from data sharing, but in practice no one is willing to

Different maximum power point tracking (MPPT) techniques used in photovoltaic (PV) systems are evaluated based on several criteria such as simplicity, speed, and accuracy. There are tradeoffs among these criteria, and generally higher accuracy is achieved at the expense of speed and simplicity. This article aims to introduce Spline-MPPT technique as a fast, accurate, and uncomplicated method to find

Diode-rectifier-based high voltage dc (DR-HVdc) systems can be a promising low-cost solution for exporting wind power from remote offshore wind farms to onshore power systems. Industrializing the offshore DR-HVdc requires technical maturation, achievable through in-depth studies and pilot experiments. Deployment of offshore DR-HVdc systems may entail a fundamental change of control philosophy in wind

Wide development of the heat and electricity integrated energy system (HE-IES) has provided flexible multi-energy optimization management, which improves energy efficiency and benefits the environment. It is essential to calculate energy flow quickly, accurately, and reliably as the system scale and complexity increase. To handle this problem, we propose a partitional decoupling method based on a decomposed

This article proposes a non-linear vibro-impact mechanism, integrated inside a semi-submerged cylindrical buoy to form a self-contained and self-referenced vibro-impact wave energy converter (VIWEC), for performance enhancement. A non-linear mathematical model of the VIWEC is derived, considering linear wave-buoy interaction and non-linear vibro-impact mechanics. Numerical simulations are conducted

Sufficient dynamic Var reserve (DVR) can efficiently enhance the immunity against continuous commutation failures (CCF) to avoid DC blocking and further security accidents in the line-commutated converter (LCC) based HVDC receiving-end power system. This article proposes the problem formulation and efficient solution algorithm for the DVR-constrained coordinated scheduling considering contingencies

In distribution systems with high penetrations of solar energy, co-optimizing the operation of voltage regulators (VRs) with off-unity power factor inverters of photovoltaics (PVs) becomes imperative for confining nodal voltages within ANSI limits and ensuring an adequate number of tap actions. The framework proposed in this article minimizes the energy import from the substation (or maximizes the

Presents the table of contents for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Advertisement, IEEE.

Advertisement, IEEE.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Provides instructions and guidelines to prospective authors who wish to submit manuscripts.

Seeking the improvement of frequency and voltage regulation of distributed energy resources (DERs) in islanded microgrids, this paper presents a novel distributed control paradigm based on distribution-level phasor measurement units (D-PMUs) monitoring. First, a novel strategy denoted synchrophasor aggregation is proposed. This strategy takes advantage of the high resolution, low latency and time-stamped

Before diode rectifier (DR) technology for connecting offshore wind farms (OWFs) to HVdc is deployed, in-depth studies are needed to assess the actual capabilities of DR-connected OWFs to contribute to the secure operation of the networks linked to them. This study assesses the capability of such an OWF to provide communication-less frequency support (CLFS) to an onshore ac network. It is shown that

Photovoltaic (PV) is receiving increasing attention due to its sustainability and low carbon footprint. However, the penetration level of PV is still relatively low because of its intermittency. This uncertainty can be handled by accurate PV forecasting, which requires high-quality solar data. Nevertheless, up to 40% of solar data can be found missing, which significantly worsens the quality of solar

A system-level consensus-based deloading operation is proposed for DFIG-based wind farm (WF) participating in system active power regulation. Rotor overspeeding control (ROC) and pitch angle control (PAC) are coordinated for load sharing among each wind turbine (WT). For ROC, a novel fully-distributed consensus protocol is developed for fair load sharing control without the need to know the total active

This article presents a control strategy to mitigate subsynchronous control interactions in doubly-fed induction generator (DFIG)-based wind farms. The strategy makes use of a multi-terminal dc (MTDC) system to damp subsynchronous oscillations (SSOs) by adding a supplementary damping control (SDC) to MTDC grid converters. The SDC is focused on stations with modular multilevel converters. This converter

Large-scale PV microgrids constitute a growing portion of distributed renewable generation in many grids worldwide and are expected to continue their growth in the foreseeable future. Managing the operation of such microgrids and in particular their interaction with the main electricity grid is a challenging task as it involves controlling large intermittent PV resources. The addition of auxiliary

Centralized Charging Station (CCS) provides a convenient charging and maintenance platform for providing battery charging and delivery services to serve Electric Vehicles (EVs)’ battery swapping demands at battery swapping points. This article proposes an operational planning framework for a CCS with integration of photovoltaic solar power sources and an Echelon Battery System (EBS) comprising batteries

High penetration of renewables in the distribution network brings significant uncertainties, especially during volatile weather conditions. Hence, the network controllers should be designed to account for these uncertainties, and respond to unpredictable events like voltage-dips for reliable voltage control. This paper proposes a control scheme, where inverter-based Distributed Energy Resources (DERs)

In this study, we address the issue of real-time energy-maximising control for wave energy converters (WECs), by proposing a receding-horizon optimal control framework based on the concept of a moment . This approach is achieved by extending the so-called moment-based framework, recently published in the WEC literature, to effectively solve the associated optimal control problem within a finite time-horizon

We are witnessing an acceleration in the uptake of renewable energy in power systems. Because of the associated variability and uncertainty of renewables, power systems need to have an adequate supply of flexibility to allow for suitable management of short-term operations. So far most of the work in this area has neglected how flexibility needs associated with renewables are fulfilled as part of dispatchable

The proper operation of aged batteries is essential to improve the reliability and performance of grid-connected battery energy storage systems (BESS). In this letter, we investigate on the phenomenon that removing certain battery cells within an aged battery pack, may lead to increasing the effective capacity of the BESS, because those cells with reduced capacity become the limiting factor for the

This article proposes a new control algorithm that improves the dynamic performance in distributed maximum power point tracking systems. Systems with these architectures allow to increase the photovoltaic power harvested in case of partial shading and irradiance mismatch. The classical approach adopts distributed DC/DC power electronics and control without any centralized action, which makes difficult

This article proposes an unbalanced voltage compensation method for a dispersed wind farm (DWF) by cooperating permanent magnetic synchronous generators (PMSGs) with a star-connected cascaded H-bridges (CHB) static synchronous compensator (STATCOM). The topology of a typical DWF is given and the mathematical models of CHB-STATCOM and PMSG inverter are established to show that the unbalanced grid voltage

The resilience of electric systems is receiving growing attention due to their increased vulnerability to infrastructure damages and widespread outages from frequent extreme climactic conditions attributed to global warming effects. Resilience evaluation methods should recognize the uncertainties and correlations in the performance variations of different types of energy resources, load characteristics

There is rising interest in probabilistic forecasting to mitigate risks from solar power uncertainty, but the numerical weather prediction (NWP) ensembles readily available to system operators are often biased and underdispersed. We propose a Bayesian model averaging (BMA) post-processing method suitable for forecasting power from utility-scale photovoltaic (PV) plants at multiple time horizons up

Factories for which steam is indispensable typically form an industrial park to share steam heating network (SHN) infrastructure. The energy systems in such parks are usually operated as microgrids. To improve operation efficiency, potential flexible and controllable resources should be utilized. This article proposes a novel method of utilizing the hydraulic inertia of SHNs to improve flexibility

Among the various MPPT algorithms developed until date, Perturb and Observe (P&O) and Incremental conductance (InC) algorithms are most widely used, mainly due to their simplicity and ease of implementation. However, both algorithms suffer from the drawbacks of continuous steady state oscillations, and inefficient tracking in case of rapid changes in irradiation. In this article, a SOFT-MPPT algorithm

Voltage unbalance (VU) in an active distribution network (ADN) could result in increased network losses and even system instability. The additional uncertainties embedded in ADN might lead to serious VU problems with the proliferation of single-phase distributed energy resources (DERs). This paper proposes a two-stage uncertainty quantification and unbalance mitigation (UQUM) framework to cope with

Conventional controllers for electronically interfaced distributed generators (EI-DGs) that utilize droop controllers along with voltage/current proportional-Integral (PI) controllers illustrate undesirable transient responses in facing large disturbances generated following the changes in the system operating point. This article presents a nonlinear tracking controller for multisource EI-DGs operating

In the existing works of microgrid clusters, operation and real-time control are normally designed separately in a hierarchical architecture, with the real-time control in the primary and secondary levels, and operation in the tertiary level. This article proposes a hierarchically coordinated control scheme for DC MG clusters under uncertainty. In each MG, the tertiary level controller optimizes the

Accommodating increased penetration of renewable energy resources like solar Photo-Voltaics (PV) imposes severe challenges on the voltage regulation of the traditionally designed distribution system. Battery Energy Storage Systems (BESS) can mitigate voltage regulation issues, as they can act quickly in response to the uncertainties introduced due to solar PV. However, if there is no coordination between

This article proposes a hierarchical control structure to address two major issues in power systems: 1) power imbalance during events when output power from distributed generations (DGs) is not fully consumed; 2) reduction of inertia constant and damping effect in overall power systems due to integration of DGs. To address these issues, a hierarchical control structure for a virtual synchronous generator

This article proposes a novel Stackelberg game approach for activating demand response (DR) program in a residential area aiming at addressing the mismatch between the demand and renewable energy generation. In this study, two major players, namely the aggregator as a leader and the consumers as followers, are considered. The aggregator, which owns a wind farm and also receives power from the independent

The heat and electricity integrated energy systems (HE-IESs) have a bright prospect in future energy systems owing to their excellent economic and environmental performance. Many uncertain factors in the HE-IESs, such as renewable energy sources, electrical load, and weather factors, threaten the secure and economical operation of systems as well as the thermal comfort of end-users. In this article

Operations & maintenance (O&M) of wind turbines (both onshore and offshore) are heavily affected by weather conditions, particularly wind conditions. Current O&M models focused mainly on negative impacts of wind conditions on turbine reliability and maintenance, while ignoring potential maintenance opportunities emerging from dynamic wind velocities. This article addresses this issue by constructing