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Mitigation of congestion by generator rescheduling using Particle Swarm Optimization

机译:通过使用粒子群算法对发电机进行重新调度来缓解拥塞

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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:在放松管制的电力市场中,输电拥塞会导致系统安全性中断并增加系统成本。传输线中的拥塞是尤其在解除管制的环境中出现的技术问题之一。独立系统运营商(ISO)的重要任务之一是放松管制时代的无拥塞电力系统。发电机重新计划是ISO在缓解电力市场放松管制中采用的缓解传输拥堵的技术之一。重新调度是在最佳潮流(OPF)框架中完成的,以最大程度地减少总体拥堵缓解成本。首先,根据发电机的发电机灵敏度因子(GSF)选择发电机。其次,粒子群优化用于重新安排那些选定的生成器。该算法在IEEE 39 Bus New England测试系统上得到了应用。

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