Mitigation of total harmonic distortion and flicker emission in the presence of harmonic loads by optimal siting and sizing of wind turbines and energy storage systems

In distribution networks (DNs), there are significant technical challenges due to the high penetration of renewable energy resources (RERs), especially wind turbines (WTs) and the presence of non-linear electrical loads. One of the most important challenges is power quality. In such networks, to mit...

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Bibliographic Details
Published in:Journal of energy storage Vol. 86; p. 111312
Main Authors: Ghaffari, Abolfazl, Askarzadeh, Alireza, Fadaeinedjad, Roohollah, Siano, Pierluigi
Format: Journal Article
Language:English
Published: Elsevier Ltd 10.05.2024
Subjects:
Energy storage system
Planning
Power quality issue
Total harmonic distortion
Wind turbine flicker
Total harmonic distortion
Power quality issue
Planning
Energy storage system
Wind turbine flicker
ISSN:2352-152X
Online Access:Get full text
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Summary:In distribution networks (DNs), there are significant technical challenges due to the high penetration of renewable energy resources (RERs), especially wind turbines (WTs) and the presence of non-linear electrical loads. One of the most important challenges is power quality. In such networks, to mitigate flicker emission produced by WTs and network voltage harmonics, it is necessary to solve the planning problems considering power quality objectives and standards. For this aim, this paper attempts to improve DN performance by optimal siting and sizing of WTs and energy storage systems (ESSs). In the planning problem, to take into account the power quality issue, flicker emission, total harmonic distortion (THD), and network voltage deviation (NVD) are included in the optimization problem. To effectively solve the planning problem, which is a non-linear and non-convex optimization problem, three variants of genetic algorithm (GA) are used. Simulation results indicate that optimal sizing and siting of WTs not only significantly improve the power quality issue but also improves the network performance. •Presence of wind turbines and non-linear loads make significant technical challenges.•It is essential to mitigate flicker produced by WTs and network voltage harmonics.•Optimal siting and sizing of WTs and energy storage systems improves power quality.•Three variants of genetic algorithm are introduced to optimally solve allocation problem.
ISSN:2352-152X
DOI:10.1016/j.est.2024.111312