Integrated energy microgrids participating in voltage regulation ancillary services: An improved ADMM based distributed optimization approach

Abstract The integrated energy microgrid (IEM) has good potential for both active and reactive power regulation, which are gradually becoming critical resources for participating in power system ancillary services. This paper constructs a distributed optimization model for the IEMs participating in voltage regulation ancillary services by considering multiple physical network constraints. To reduce computational complexity, the DistFlow power flow model and the second‐order cone relaxation method are introduced to transform the optimization model into a second‐order cone programming problem. Moreover, an improved accelerated consensus alternating direction method of multipliers algorithm is proposed to accelerate distributed optimization solutions of the model while protecting user privacy. Finally, the proposed optimization model and solution method are tested in the modified IEEE‐33 node test case to verify their effectiveness and feasibility.

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Publication Details

Journal
IET Renewable Power Generation
Published
2024-11-10
DOI
https://doi.org/10.1049/rpg2.13140
Citations
5
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.64

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article

Integrated energy microgrids participating in voltage regulation ancillary services: An improved ADMM based distributed optimization approach

Xiaowei Pu, Wei Pei, Jiarui Wang, Hao Xiao et al.
5 citations
IET Renewable Power Generation
Microgrid Control and Optimization
1.64
article

Integrated energy microgrids participating in voltage regulation ancillary services: An improved ADMM based distributed optimization approach

Xiaowei Pu, Wei Pei, Jiarui Wang, Hao Xiao, Daoxin Han
article en
5 citations

Abstract

Abstract The integrated energy microgrid (IEM) has good potential for both active and reactive power regulation, which are gradually becoming critical resources for participating in power system ancillary services. This paper constructs a distributed optimization model for the IEMs participating in voltage regulation ancillary services by considering multiple physical network constraints. To reduce computational complexity, the DistFlow power flow model and the second‐order cone relaxation method are introduced to transform the optimization model into a second‐order cone programming problem. Moreover, an improved accelerated consensus alternating direction method of multipliers algorithm is proposed to accelerate distributed optimization solutions of the model while protecting user privacy. Finally, the proposed optimization model and solution method are tested in the modified IEEE‐33 node test case to verify their effectiveness and feasibility.

IET Renewable Power GenerationVol. 18(16)
Chinese Academy of Sciences (CN), Institute of Electrical Engineering (CN), Jilin Electric Power Research Institute (China) (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 15%
Microgrid Control and Optimization
1.64
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