Mitigation of congestion by generator rescheduling using Particle Swarm Optimization

S. Deb, A. Goswami
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引用次数: 13

Abstract

In a deregulated electricity market, transmission congestion results in break system security and increase system cost. Congestion in the transmission lines is one of the technical problems that appear particularly in the deregulated environment. One of the important tasks of Independent System Operator (ISO) is congestion free power system in a deregulated era. Generator rescheduling is one of the techniques adopted by ISO to mitigate transmission congestion in a deregulated electricity market. Rescheduling is done in an Optimal Power Flow (OPF) framework to minimize the overall congestion relief cost. Firstly, generators are chosen based on their generator sensitivity factor (GSF). Secondly, Particle Swarm Optimization is used for rescheduling those selected generators. The proposed algorithm is applied on IEEE 39 Bus New England test system.
基于粒子群优化的发电机重调度缓解拥塞
在解除管制的电力市场中,输电拥塞不仅破坏了系统安全,而且增加了系统成本。输电线路的拥塞是在解除管制环境下特别出现的技术问题之一。在放松管制的时代,实现无拥塞电力系统是独立系统运营商(ISO)的重要任务之一。发电机重新调度是ISO在解除管制的电力市场中采用的缓解传输拥塞的技术之一。重新调度是在最优潮流(OPF)框架下完成的,以最小化总体拥塞缓解成本。首先,根据发电机灵敏度系数(GSF)选择发电机。其次,采用粒子群算法对选择的发电机进行重新调度。该算法在ieee39总线新英格兰测试系统中得到了应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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