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Optimal Location of Series FACTS Device Using PSO Technique to Reduce the Losses and to Enhance Power Transfer Capability in a Power System

机译:使用PSO技术的串联FACTS器件的最佳位置,以减少损耗并增强电力系统中的功率传输能力

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Electric power systems, around the globe, are changing in terms of structure, operation, management, and ownership due to technical, financial, and ideological reasons. Recent trend involves augmentation of power systems in terms of geographical area, assets additions, and penetration of new technologies in generation, transmission, and distribution sectors. In this regard, flexible alternative current transmission system (FACTS) devices play a key role in enhancing controllability and increasing power transfer capability of the network. Thyristor-controlled series compensator (TCSC) is an emerging FACTS device designated to achieve this objective. The conventional methods in solving optimization problems in power systems suffer from several limitations due to necessities of derivative existence, providing suboptimal solutions, etc. Computational intelligence plays an important role in determining the optimal solutions for multiobjective functions. A combinatorial analysis problem in power systems can be solved by modern heuristic methods in finding optimal solution. Thus, in this paper, particle swarm optimization (PSO), a wing of evolutionary computation (EC) encapsulated with heuristic approach, has proposed for finding optimal location of TCSC. An IEEE standard 5-bus and 14-bus systems have been considered to test the credibility of the proposed algorithm. The simulation result proved the efficiency of the proposed approach by optimal placement of the FACTS device to minimize the losses and to improve the power transfer in a power system network.
机译:由于技术,财务和意识形态方面的原因,全球的电力系统在结构,操作,管理和所有权方面都在发生变化。最近的趋势涉及电力系统在地理区域,资产增加以及新技术在发电,输电和配电领域的渗透方面的增长。在这方面,灵活的交流电传输系统(FACTS)设备在增强网络的可控制性和增加电力传输能力方面起着关键作用。晶闸管控制的串联补偿器(TCSC)是一种新兴的FACTS器件,旨在实现这一目标。解决电力系统优化问题的常规方法由于必须存在导数,提供次优解等而受到一些限制。计算智能在确定多目标函数的最优解中起着重要作用。电力系统中的组合分析问题可以通过现代启发式方法来找到最佳解决方案。因此,在本文中,粒子群优化(PSO)是一种用启发式方法封装的进化计算(EC)的机翼,为寻找TCSC的最佳位置提出了建议。已经考虑使用IEEE标准的5总线和14总线系统来测试所提出算法的可信度。仿真结果通过对FACTS器件进行优化布置以最小化损耗并改善电力系统网络中的功率传输,证明了所提方法的有效性。

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