Research on Active and Reactive Power Cooperative Optimization of Distribution Network Including Photovoltaic, Energy Storage and EV

In this paper, an active power and reactive power cooperative optimal control algorithm for distribution network with photovoltaic - EV-energy storage is proposed. The algorithm not only realizes the active power leveling of photovoltaic, but also realizes the reactive power multi-objective optimiza...

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Veröffentlicht in:2024 IEEE 7th International Electrical and Energy Conference (CIEEC) S. 4741 - 4746
Hauptverfasser: Cheng, Zhong, Ma, Yufei, Guo, Dongbo
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 10.05.2024
Schlagworte:
Clustering algorithms
Costs
Distribution networks
Fluctuations
Niching particle swarm optimization
Photovoltaic systems
Power suppression
Reactive multi-target
Reactive power
Voltage control
Voltage over limit
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Zusammenfassung:In this paper, an active power and reactive power cooperative optimal control algorithm for distribution network with photovoltaic - EV-energy storage is proposed. The algorithm not only realizes the active power leveling of photovoltaic, but also realizes the reactive power multi-objective optimization of distribution network. This strategy uses multi-objective niching particle swarm optimization (NPAMOPSO) to ensure the diversity of solutions and prevent the algorithm from converging prematurely. The effectiveness of the proposed method is verified by IEEE33 node simulation.
DOI:10.1109/CIEEC60922.2024.10583251