Reactive power optimization of power system based on particle swarm optimization

Xi Wang; Yu Xiao

doi:10.1117/12.2646776

7 September 2022 Reactive power optimization of power system based on particle swarm optimization

Xi Wang, Yu Xiao

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123292L (2022) https://doi.org/10.1117/12.2646776
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

For power grids, reactive power optimization is a key research problem. Increasing reactive power affects the security. The purpose of this work is to study the optimization of swarm particle basis. Optimal energy system regression. The role of progressive group optimization in solving the problem of reactive energy enhancement is being studied in depth, how to improve the problem to be solved when the PSO algorithm is applied to energy optimization and upgrading is closely explored. The coupled equation is the most iterative and uses Newton's method to calculate the power flow. In the two grid systems of IEEE14 interface and IEEE30 interface, the difference, advantages and disadvantages. The experimental results show that the network loss of the advanced particle optimization swarm is 4.86 MW less than that of the standard particle optimization.

Citation Download Citation

Xi Wang and Yu Xiao "Reactive power optimization of power system based on particle swarm optimization", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123292L (7 September 2022); https://doi.org/10.1117/12.2646776

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