Reconfiguration of Distribution Network Considering benefits of Distribution Network Operators and DG Aggregator

Distribution network reconfiguration contributes to not only decrease the operation cost, but also reduce the curtailment of renewable resource, as well as improve the systematical operation reliability. Considering renewable consumption and reliability improvement, here proposes a dynamic reconfiguration of distribution Network considering benefits of Distribution Network Operators(DNO) and Distributed Generation Aggregator(DGA) through multiobjective optimization. Considering the requirements of DNO and DGA, multiobjective formulations with equal and unequal constraints are constructed from the economics and technique. The improved meme algorithm is presented to solve the proposed multiobjective formulas. Numerical simulations in modified IEEE 69-bus demonstrates the feasibility and effectiveness of the proposed method.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/sgei63936.2024.10914222
Citations
1
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.21

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Reconfiguration of Distribution Network Considering benefits of Distribution Network Operators and DG Aggregator

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Reconfiguration of Distribution Network Considering benefits of Distribution Network Operators and DG Aggregator

Xiangjun Duan, Jianfang Li, Yu Zhang, Shanshan Zhao, Yajie Li, Fei Gao, Weijie Dong
article en
1 citations

Abstract

Distribution network reconfiguration contributes to not only decrease the operation cost, but also reduce the curtailment of renewable resource, as well as improve the systematical operation reliability. Considering renewable consumption and reliability improvement, here proposes a dynamic reconfiguration of distribution Network considering benefits of Distribution Network Operators(DNO) and Distributed Generation Aggregator(DGA) through multiobjective optimization. Considering the requirements of DNO and DGA, multiobjective formulations with equal and unequal constraints are constructed from the economics and technique. The improved meme algorithm is presented to solve the proposed multiobjective formulas. Numerical simulations in modified IEEE 69-bus demonstrates the feasibility and effectiveness of the proposed method.

North China Electric Power University (CN), China Electric Power Research Institute, Beijing Information Science & Technology University (CN)
China Electric Power Research Institute
Openalex Percentile: Top 43%
Power Systems and Technologies
0.21
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