基于免疫算法的SPS发电机脱扣规划

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI:10.1109/ISAP.2011.6082179

Chao-Rong Chen, Wenta Tsai, Ching-Yin Lee, Zhenrong Lin

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引用次数: 3

摘要

研究了独立电力系统中特殊保护系统(SPS)的最优跳闸规划。该系统处理的是由N-3输电线路突发事件引起的暂态失稳。采用免疫算法对跳闸发电机进行选择，以保证电力系统的稳定。台湾电力系统是进行仿真的基本潮流案例。通过PSS/E和PEALS程序对优化结果进行了验证。通过验证，得出了该系统中发电机跳闸的最佳选择。该算法为类似独立电力系统的动态信号控制系统的开发提供了有价值的参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SPS generator tripping planning using immune algorithm

This study describes the optimal generator tripping planning for special protection system (SPS) in an independent power system. This SPS is dealing with the transient instability caused by transmission line N-3 contingencies. The immune algorithm is adopted to select the tripping generators in order to keep power system stable. Taiwan power system is the base power flow case for simulation. The optimization result is verified with PSS/E and PEALS programs. The verification shows the optimal generator tripping selection in this SPS. The proposed algorithm provides a valuable reference in the development of an SPS for similar independent power systems.

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2011 16th International Conference on Intelligent System Applications to Power Systems

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