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TCSC allocation in power systems considering switching loss using MOABC algorithm

机译:考虑使用MOABC算法的开关损耗的电力系统TCSC分配

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摘要

This paper is dedicated to investigate the influence of switching losses on Thyristor Controlled Series Compensator (TCSC) optimum allocation in power systems by using a Multi-Objective optimization technique. This allocation is performed with respect to minimization in system cost and voltage deviation as the objectives. For this purpose, cost of active power losses, investment cost of devices and active power generation cost in the peak load are considered to constitute the cost function as the economical objective. In addition, the paper considers interest rate in cost calculations to avoid impractical allocation results and imprecise solutions. The operational, technical and controlling constraints as well as load constraints are regarded in the allocation procedure. Also, the simulations are utilizing three unequal annual load levels to find optimum location and size of TCSC. The IEEE-14 Bus test system is used to validate the proposed method and show the importance of TCSC switching loss. Here, a novel optimization algorithm, Multi-Objective Artificial Bee Colony, is presented to provide Pareto optimal solutions. Also, an approach based on the goal attainment method combined with Genetic Algorithm is used to compromise between contradictory objectives and approach to the global optimum.
机译:本文致力于通过使用多目标优化技术来研究开关损耗对电力系统中晶闸管控制串联补偿器(TCSC)最优分配的影响。关于最小化系统成本和电压偏差为目标来执行该分配。为此,认为有功功率损失的成本,设备的投资成本和峰值负载中的有功发电成本构成了作为经济目标的成本函数。此外,本文在计算成本时考虑了利率,以避免不切实际的分配结果和不精确的解决方案。在分配过程中要考虑操作,技术和控制方面的限制以及负载方面的限制。此外,仿真还利用三个不相等的年度负荷水平来找到TCSC的最佳位置和尺寸。 IEEE-14总线测试系统用于验证所提出的方法并显示TCSC开关损耗的重要性。在这里,提出了一种新颖的优化算法,多目标人工蜂群,以提供帕累托最优解。此外,基于目标达成方法与遗传算法相结合的方法被用来在矛盾的目标和全局最优方法之间进行折衷。

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