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Mitigation of congestion by generator rescheduling using Particle Swarm Optimization

机译:利用粒子群优化通过发电机重新安排的缓解

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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.
机译:在令人置解密的电力市场中,传输拥堵导致破解系统安全性并提高系统成本。 传输线中的拥塞是尤其在解除管制环境中出现的技术问题之一。 独立系统运营商(ISO)的重要任务之一是解除管制时代的拥塞自由电力系统。 发电机Rescheding是ISO采用的技术之一,用于减轻解除管制电力市场中的传输拥堵。 重新安排在最佳的电流(OPF)框架中完成,以最大限度地减少整体拥塞缓解成本。 首先,基于其发电机灵敏度因子(GSF)选择发电机。 其次,粒子群优化用于重新安排那些所选发电机。 所提出的算法应用于IEEE 39 Bus新的英格兰测试系统。

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