采用ETAP的德黑兰地铁配电系统优化电容器布局以最大限度地降低成本和功率损耗(案例研究)

M. Ghiasi, J. Olamaei
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引用次数: 24

摘要

德黑兰地铁(地铁)配电系统中大部分负载为感应负载,导致功率因数较差,特别是在照明和变电所。PF校正的方法之一是在电路中增加或产生容性元件以消除感性负载的影响。电容器优化配置(OCP)在电力系统控制和规划中具有重要意义,其目标是改善电力系统的电压分布、校正PF、降低损耗和降低线路无功功率。这些目标取决于电容元件的安装方式和实现方式,因为电容的放置是非线性问题,并且具有一些等和不等式约束。本文对德黑兰地铁2号线实际配电网中存在非线性负荷时的OCP进行了研究。利用遗传算法解决了该问题,并在电瞬变分析仪程序软件中实现。得到并分析了结果(容量释放、总发电量、负载、需求、功率损耗和电容器组数量、成本和年度效益)。研究和仿真结果表明,利用OCP可以计算出德黑兰地铁配电网中电缆、变压器等设备无功功率的年损耗和释放容量,从而实现效益最大化。©2016 Wiley期刊公司复杂性,2016
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal capacitor placement to minimizing cost and power loss in Tehran metro power distribution system using ETAP (A case study)
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. © 2016 Wiley Periodicals, Inc. Complexity, 2016
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