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Optimal power flow solution of two-terminal HVDC systems using genetic algorithm

机译:基于遗传算法的两端直流输电系统最优潮流解决方案

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摘要

The usage extensively of high voltage direct current (HVDC) transmission links in recent years makes it necessary further work in this area. Therefore, two-terminal HVDC transmission link is one of most important elements in electrical power systems. HVDC link representation is mostly ignored and simplified for optimal power flow (OPF) studies in power systems. OPF problem of purely alternating current (AC) power systems is defined as minimization of the fuel cost to subjected equality and inequality constraints. Hence, OPF software of purely AC power systems is extended by taking into consideration power transfer control characteristics of HVDC links. In this paper, OPF problem of integrated AC-DC power systems is first solved by genetic algorithm that is a heuristic algorithm based on evolutionary. The proposed method is tested on two test systems which are the modified 5-node test system and the modified WSCC 9-bus test system. In order to show effectiveness and efficiency of the proposed method, the obtained results are compared to that reported in the literature.
机译:近年来,高压直流(HVDC)传输链路的广泛使用使得有必要在这一领域做进一步的工作。因此,两端HVDC传输链路是电力系统中最重要的元素之一。对于电力系统中的最佳潮流(OPF)研究,HVDC链路表示通常被忽略和简化。纯交流(AC)电力系统的OPF问题定义为使燃料成本最小化,使其受到相等和不平等约束。因此,通过考虑HVDC链路的功率传输控制特性来扩展纯AC电力系统的OPF软件。本文首先通过遗传算法解决了集成交直流电力系统的OPF问题,遗传算法是一种基于进化的启发式算法。该方法在改进的5节点测试系统和改进的WSCC 9总线测试系统这两个测试系统上进行了测试。为了显示所提出方法的有效性和效率,将获得的结果与文献报道的结果进行比较。

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