基于粒子群算法的电力系统状态评估与分析方法

Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence Pub Date : 2022-12-23 DOI:10.1145/3579654.3579744

Wei Zhou, Xinlei Cai, Jinzhou Zhu, Xu Lin, Xinglang Xie

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引用次数: 0

摘要

针对电力系统评估结果误差大的问题，提出了一种基于粒子群算法的电力系统状态评估与分析方法。首先对现有的电力系统状态评估分析方法进行分析，然后建立区域电力系统状态评估分析模型，确定相应的评估原则。然后，利用粒子群算法求解电力系统状态评估的最优策略。最后，在MATLAB软件平台上对所提方法的性能进行了验证和分析。实验结果表明，该电力系统状态评估分析方法能够快速确定电力系统状态评估的最优策略，有效提高电力系统状态评估的准确性，有利于维护电力系统的安全稳定运行。

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A Method for power system state assessment and analysis based on PSO algorithm

Aiming at the problem of large error in power system assessment results, this paper proposes a power system state assessment and analysis method based on PSO algorithm. Firstly, the existing assessment and analysis methods for power system state are analyzed, and then the state assessment and analysis model for regional power system is established to determine the corresponding assessment principles. Then, PSO algorithm is used to solve the optimal strategy of power system state assessment. Finally, the performance of the proposed method is verified and analyzed based on MATLAB software platform. The experimental results show that the assessment and analysis method for power system state can quickly determine the optimal strategy of power system state assessment, effectively improve the accuracy of power system state assessment, and help to maintain the safe and stable operation of power system.

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Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence

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