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Optimal capacitor placement to minimizing cost and power loss in Tehran metro power distribution system using ETAP (A case study)

机译:使用ETAP在德黑兰地铁配电系统中优化电容器放置以最小化成本和功率损耗(案例研究)

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摘要

Most loads in the power distribution system of Tehran Metro (Subway) are inductive and lead to poor power factor (PF) especially in Lighting and Power Substation. One of the methods of PF correction is adding or producing the capacitive components within the circuit to eliminate the effect of inductive loads. Optimal capacitor placement (OCP), with the objects of power system voltage profile improvement, PF correction, loss reduction, and line reactive power decrease are of particular importance in power system control and planning. These objects depend on how the capacitive components are installation and to achieve them, since the capacitor placement is nonlinear problem and has some equally and inequality constraint. This article investigates OCP in the actual power distribution grid of Tehran Metro (Line 2) in the presence of nonlinear loads. The placement problem is solved using Genetic Algorithms as implemented in the Electrical Transient Analyser Program software. Results (capacity release, total generation, loading, demand, power losses and number of capacitor banks, costs and annual benefits) are obtained and analysed. This study and simulation shows that by OCP can calculate reduce annual losses and release capacity of equipment in power distribution grid of Tehran Metro such as cables and transformers from reactive power and that will maximize profits. (c) 2016 Wiley Periodicals, Inc. Complexity 21: 483-493, 2016
机译:德黑兰地铁(地铁)配电系统中的大多数负载都是电感性负载,导致功率因数(PF)降低,尤其是在照明和变电站中。 PF校正的方法之一是在电路内添加或产生电容性组件,以消除感性负载的影响。在电力系统控制和规划中,以改善电力系统电压曲线,改善PF校正,降低损耗和降低线路无功功率为目的的最佳电容器放置(OCP)尤为重要。这些目的取决于电容性元件的安装方式和实现方式,因为电容器的放置是非线性问题,并且存在一些相等和不平等的约束。本文研究在存在非线性负载的情况下,德黑兰地铁(2号线)实际配电网中的OCP。使用电气瞬态分析仪程序软件中实现的遗传算法解决了放置问题。获得并分析了结果(容量释放,总发电量,负载,需求,功率损耗和电容器组数量,成本和年度收益)。该研究和仿真表明,通过OCP可以计算出减少德黑兰地铁配电网中设备(例如无功功率的电缆和变压器)的年度损失和释放能力,这将使利润最大化。 (c)2016 Wiley Periodicals,Inc.复杂度21:483-493,2016

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