Swarm Intelligence Based Optimal Design of Local Volt/Var Control Function for Distributed Energy Resources

The increasing penetration of renewable based distributed energy resources (DERs) in distribution network (DN) leads to larger and more frequent voltage variation in distributions network (DN), thus posing challenges on voltage control. Real-time local voltage control method is a promising solution for the above issue. However, the local voltage control function needs to be customized and optimized according to real distribution system condition. In this paper, a swarm intelligence based Volt/Var control optimal design method (SO-VVC) is proposed to optimize the control function. Compared with existing approaches, the proposed method can not only represent the nonlinear behaviour of power flow but is also computation efficient. The performance of the proposed SO-VVC is demonstrated by case studies on a modified IEEE-123 bus system.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/icpee64457.2024.10949922
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

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article

Swarm Intelligence Based Optimal Design of Local Volt/Var Control Function for Distributed Energy Resources

Zhengfa Zhang, Boming Liu, Yuqing Dong, Teja Kuruganti et al.
Power Systems and Renewable Energy
article

Swarm Intelligence Based Optimal Design of Local Volt/Var Control Function for Distributed Energy Resources

Zhengfa Zhang, Boming Liu, Yuqing Dong, Teja Kuruganti, J. Dong, Yayu Yang, Jin Dong, Yilu Liu
article en

Abstract

The increasing penetration of renewable based distributed energy resources (DERs) in distribution network (DN) leads to larger and more frequent voltage variation in distributions network (DN), thus posing challenges on voltage control. Real-time local voltage control method is a promising solution for the above issue. However, the local voltage control function needs to be customized and optimized according to real distribution system condition. In this paper, a swarm intelligence based Volt/Var control optimal design method (SO-VVC) is proposed to optimize the control function. Compared with existing approaches, the proposed method can not only represent the nonlinear behaviour of power flow but is also computation efficient. The performance of the proposed SO-VVC is demonstrated by case studies on a modified IEEE-123 bus system.

Oak Ridge National Laboratory (US), Knoxville College (US), University of Tennessee at Knoxville (US)
U.S. Department of Energy
Affordable and clean energy
Openalex Percentile: Top 64%
Power Systems and Renewable Energy
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Swarm Intelligence Based Optimal Design of Local Volt/Var Control Function for Distributed Energy Resources — Zhengfa Zhang, Boming Liu, et al. · (2024) | TGRS Research Map | TGRS