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Optimal Transmission System Expansion Planning Via Binary Bat Algorithm

机译:二元蝙蝠算法的最优传输系统扩展规划

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This paper presents an approach procedure based on binary bat algorithm (BBA) for solving the transmission system expansion planning (TSEP) problem. The proposed BBA is applied to achieve the comprehensive objective function with the lowest investment and operation costs by finding the optimal distributions of new transmission lines at different operating conditions. The suggested operating conditions are the normal and the contingency such as any single line outage (one by one). The AC optimal power flow (AC-OPF) using MATPOWER is utilized to find the OPF calculations. The proposed BBA is tested on Garver’s 6-bus test system and the west Delta system (WDS) 21-bus as a part of the Egyptian electricity transmission network (EETN) to solve the TSEP problem and the results are compared with other techniques to prove the robustness of the proposed procedure for solving the TSEP problem considering different technical and economic benefits.
机译:本文介绍了一种基于二元蝙蝠算法(BBA)的方法,用于解决传输系统扩展规划(TSEP)问题。拟议的BBA应用于通过在不同操作条件下找到新传输线的最佳分布来实现最低的投资和运营成本的综合目标函数。建议的操作条件是正常和差不休虑,如任何单线中断(一个逐个)。使用MATPOWER的AC最佳功率流(AC-OPF)用于找到OPF计算。拟议的BBA在Garver的6公交机测试系统和西三角洲系统(WDS)21-Bus上进行测试,作为埃及电传输网络(EETN)的一部分,以解决TSEP问题,结果与其他技术进行比较考虑到不同技术和经济效益,解决TSEP问题的提出程序的稳健性。

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