Research on Reactive Power Optimization of High Proportion New Energy Access Distribution Network Based on NSGA-III Algorithm

Yang, Junting; Chen, Liang; Dong, Xiaoli; Li, Yaxin

doi:10.1109/imcec55388.2022.10020128

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2023

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Cited by 2 publications

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“…The current research puts forward many solutions based on intelligent algorithms. [1] used NSGA-II, [2][3] used PSO, [4] used ACS-BAS, and [5][6][7][8] proposed a multi-objective particle swarm optimization algorithm based on the Petro frontier solution, which could be better solved. [9][10][11] used the MOPSO algorithm so that the reactive power was reasonably balanced.…”

Section: Introductionmentioning

confidence: 99%

Reactive Power Optimization of Distribution Network with Distributed Power Based on MOPSO Algorithm

2023

J. Phys.: Conf. Ser.

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Wind turbine, photovoltaic and other power supply connected to the grid operation brings new critical problems to traditional reactive power optimization. Considering the safety and stability of operation, a reactive power optimization model with two objectives of minimum voltage offset and minimum network loss is established. In MATLAB, the reactive power optimization simulation analysis of the IEEE33 system connected with a wind turbine and photovoltaic is carried out, and the MOPSO algorithm is used to solve the reactive power optimization model. The multi-objective MOPSO algorithm is optimized to improve the stability of power grid operation and reduce the fluctuation of power flow. The network loss is reduced, and the effectiveness of the strategy is verified.

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Section: Introductionmentioning

confidence: 99%

Reactive Power Optimization of Distribution Network with Distributed Power Based on MOPSO Algorithm

2023

J. Phys.: Conf. Ser.

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Research on Reactive Power Optimization of Active Distribution Network Based on Deep Reinforcement Learning

Cai,

Liu,

Wang

et al. 2023

2023 3rd Power System and Green Energy Conference (PSGEC)

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Research on Reactive Power Optimization of High Proportion New Energy Access Distribution Network Based on NSGA-III Algorithm

Cited by 2 publications

References 14 publications

Reactive Power Optimization of Distribution Network with Distributed Power Based on MOPSO Algorithm

Reactive Power Optimization of Distribution Network with Distributed Power Based on MOPSO Algorithm

Research on Reactive Power Optimization of Active Distribution Network Based on Deep Reinforcement Learning

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