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Congestion management by generator rescheduling using Artificial Bee Colony optimization Technique

机译:通过使用人工蜂群优化技术对发电机进行重新调度来管理拥堵

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In a deregulated electricity market, when congestion occurs in a transmission line it violates system security and increase system cost. Transmission lines congestion is one of the technical problems which appear particularly in the deregulated environment. In a deregulated era, one of the important tasks of ISO is congestion free power system. Generator rescheduling is one of the techniques adopted by ISO to mitigate transmission congestion in a deregulated electricity market. Present paper proposed Artificial Bee Colony based generator rescheduling for congestion management problem. The ABC algorithm is a new metaheuristic approach inspired by intelligent foraging behavior of honeybee swarm. Firstly, generators are chosen based on their generator sensitivity factor (GSF). Secondly, Artificial Bee colony 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,当输电线路中发生拥塞时,会破坏系统安全性并增加系统成本。传输线拥塞是技术问题之一,尤其是在放松管制的环境中。在放松管制的时代,ISO的重要任务之一是无拥塞电力系统。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。本文提出了基于人工蜂群的发电机调度算法,以解决拥塞管理问题。 ABC算法是一种新的启发式方法,其灵感来自蜜蜂群的智能觅食行为。首先,根据发电机的发电机灵敏度因子(GSF)选择发电机。其次,人工蜂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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