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Reactive Power Optimization of Wind Power Distribution Network Based on AG-MOPSO
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Fuqing SU1, Honghai KUANG1, Hao ZHONG2
Journal of Power Supply | 2024, 22(4) : 192 - 199
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Journal of Power Supply | 2024, 22(4): 192-199
• Power System •
Reactive Power Optimization of Wind Power Distribution Network Based on AG-MOPSO
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Fuqing SU1, Honghai KUANG1, Hao ZHONG2
Affiliations
  • 1 College of Electrical and Information Engineering Hunan University of Technology Zhuzhou 412007 China
  • 2 China Three Gorges University Hubei Key Laboratory of Cascaded Hydropower Stations Operation and Control Yichang 443002 China
Published: 2024-07-30 doi: 10.13234/j.issn.2095-2805.2024.4.192
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Aimed at uncertainties in the output from grid-connected wind turbine, the scenario analysis method based on probability occurrence is adopted to transform the uncertainty model into a multi-scenario problem with different occurrence probabilities, and a reactive power optimization model with the goal of minimizing the active power loss and voltage deviation is established. In view of the poor diversity of Pareto frontiers obtained using the traditional methods, an adaptive grid multi-objective particle swarm optimization (AG-MOPSO) algorithm is proposed, which uses adaptive grids to obtain the density of particles in external archives, selects the global optimal particles and maintains the scale of the external storage library according to the density information as well as the betting mechanism, thus effectively ensuring the uniformity and diversity of the Pareto frontier distribution. This algorithm is used to perform reactive power optimization calculations on an IEEE 33-bus system with wind power, and it is also compared with the existing NSGA-II algorithm. Results show that the Pareto frontier obtained using this algorithm is better, which verifies the feasibility of the proposed model and algorithm.

Scenario analysis  /  multi-objective reactive power optimization  /  adaptive grid  /  particle swarm optimization algorithm (PSO)  /  Pareto frontier
Fuqing SU, Honghai KUANG, Hao ZHONG. Reactive Power Optimization of Wind Power Distribution Network Based on AG-MOPSO[J]. Journal of Power Supply, 2024 , 22 (4) : 192 -199 . DOI: 10.13234/j.issn.2095-2805.2024.4.192
Funding
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  • National Natural Science Foundation(51977072)
  • Hubei Key Laboratory Open Fund(2019KJX06)
Appendix
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Year 2024 volume 22 Issue 4
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Article Info
doi: 10.13234/j.issn.2095-2805.2024.4.192
  • Receive Date：2021-09-01
  • Online Date：2025-07-21
  • Published：2024-07-30
Article Data
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History
  • Received：2021-09-01
  • Revised：2021-10-27
  • Accepted：2021-12-02
Funding
National Natural Science Foundation(51977072)
Hubei Key Laboratory Open Fund(2019KJX06)
Affiliations
    1 College of Electrical and Information Engineering Hunan University of Technology Zhuzhou 412007 China
    2 China Three Gorges University Hubei Key Laboratory of Cascaded Hydropower Stations Operation and Control Yichang 443002 China
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