基于冠状病毒群体免疫优化的交直流输电线路扩展规划

M. Refaat, S. Aleem, Yousry Atia, Ziad M. Ali, M. Sayed
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引用次数: 1

摘要

本文将冠状病毒群体免疫优化算法(CHIO)应用于输电线路扩展规划(TEP)问题。采用CHIO来求解基于交流和直流最优潮流的模型,这两种模型通常用于制定TEP问题。此外,本文还对无功补偿器配置和TEP的影响进行了广泛的研究。一个基准系统(24母线系统)和两个实际的埃及网络(500千伏和66千伏网络)被用于验证应用技术。结果表明,与文献中报道的一些元启发式技术相比,所实现的技术具有优越性。因此,强烈建议使用CHIO来解决TEP问题,并扩展方法工具箱。将无功源与TEP集成,进一步降低了总投资成本,提高了系统效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AC and DC Transmission Line Expansion Planning Using Coronavirus Herd Immunity Optimizer
In this paper, the coronavirus herd immunity optimizer (CHIO) was applied to solve the transmission line expansion planning (TEP) problem. CHIO was examined to solve AC and DC optimal power flow-based models, which are commonly used to formulate the TEP problem. Moreover, the impact of incorporating reactive power compensator allocation and TEP was extensively studied. A benchmark system (24 bus system) and two realistic Egyptian networks (500 kV and 66 kV networks) were used for the validation of the applied technique. The results demonstrated the superiority of the implemented technique compared to some meta-heuristic techniques reported in the literature. Therefore, CHIO is highly recommended for the TEP problem and expanse the methods toolbox. Integrating reactive sources with TEP further played an effective role in reducing the total investment cost and in enhancing system efficiency.
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