基于布谷鸟搜索算法的中小企业无功优化调度

Pinaki Dhar, N. Chakraborty
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引用次数: 0

摘要

在标准的ieee30总线测试系统中,采用超导磁储能系统与同步发电机和并联电容器进行无功优化调度。SMES的使用通过降低电压偏差的形式显示出系统稳定性的良好改善。与采用并联电容器等常规设备相比,实际总功率损耗降低36.95%,负载母线电压偏差降低9.92%。布谷鸟搜索算法以其优异的收敛特性进行优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal reactive power dispatch involving SMES by Cuckoo search algorithm
In this paper a superconducting magnetic energy storage system (SMES) along with synchronous generators & shunt capacitors are used for optimal reactive power dispatch in case of a standard IEEE 30 bus test system. The use of the SMES has shown excellent improvement of the stability of the system in form of reduced voltage deviation. The total real power loss has been found to be reduced by 36.95% and voltage deviation of load bus is reduced by 9.92% in comparison to the use of the conventional equipment like shunt capacitor. Cuckoo search algorithm for its excellent convergence characteristics is used for the optimization purpose.
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