Research on Reactive Power Compensation for Distribution Networks with New Energy Access

In response to the common problems of high active power loss and poor voltage quality in medium and low voltage distribution networks with new energy access, the objective function is proposed to decompose the reactive power optimization mathematical model into three sub-models: maximum, general, and minimum load modes, with the annual energy loss cost of the distribution network and the minimum investment of newly added reactive power compensation equipment converted to each year; Simultaneously using system power flow as an equality constraint and node voltage and reactive power as inequality constraints, an improved genetic algorithm is designed using mutation operator optimization to find the optimal compensation method for medium and low voltage distribution networks. When conducting reactive power optimization on a 36 node distribution network with new energy access in a certain city, representative 35 kV lines were selected for optimization analysis and calculation. After optimization compensation, it effectively maintained voltage stability, reduced network loss rate, and reduced operating costs.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icpre62586.2024.10768683
Primary Topic
Power Systems and Technologies
Type
article
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Research on Reactive Power Compensation for Distribution Networks with New Energy Access

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Power Systems and Technologies
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Research on Reactive Power Compensation for Distribution Networks with New Energy Access

Zhenhua Wu, Renchang Dai, Chao Yang, Qi Zhu, Bo Sun, Hua Yueshen
article en

Abstract

In response to the common problems of high active power loss and poor voltage quality in medium and low voltage distribution networks with new energy access, the objective function is proposed to decompose the reactive power optimization mathematical model into three sub-models: maximum, general, and minimum load modes, with the annual energy loss cost of the distribution network and the minimum investment of newly added reactive power compensation equipment converted to each year; Simultaneously using system power flow as an equality constraint and node voltage and reactive power as inequality constraints, an improved genetic algorithm is designed using mutation operator optimization to find the optimal compensation method for medium and low voltage distribution networks. When conducting reactive power optimization on a 36 node distribution network with new energy access in a certain city, representative 35 kV lines were selected for optimization analysis and calculation. After optimization compensation, it effectively maintained voltage stability, reduced network loss rate, and reduced operating costs.

Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 77%
Power Systems and Technologies
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