首页> 外文会议>2012 International Conference on Advances in Power Conversion and Energy Technologies >Congestion management in a pool model with bilateral contract by generation rescheduling based on PSO
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Congestion management in a pool model with bilateral contract by generation rescheduling based on PSO

机译:基于PSO的发电合同双边调度池模型中的拥塞管理

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In a deregulated electricity market, it may always not be possible to dispatch all of the contracted power transactions due to congestion of the transmission corridors. System operators try to manage congestion, which otherwise increases the cost of the electricity and also threatens the system security and stability. In this paper, congestion management by rescheduling of generators has been proposed in pool model without bilateral contracts and pool model with one bilateral contract, also compares the amount of rescheduling in both cases. For optimal selection of participating generators a technique based on generator sensitivities to the power flow of congested lines is used. Also this paper proposes an algorithm based on particle swarm optimization (PSO) which minimizes the deviations of rescheduled values of generator power outputs from scheduled levels. The effectiveness of the proposed methodology has been analyzed on IEEE 30-bus and IEEE 118-bus systems.
机译:在放松管制的电力市场中,由于输电通道的拥挤,可能总是不可能调度所有的合同电力交易。系统操作员试图管理拥塞,否则会增加用电成本,并威胁系统安全性和稳定性。本文提出了在没有双边合同的游泳池模型和有一个双边合同的游泳池模型中通过发电机重新安排的拥堵管理,并比较了两种情况下的重新安排量。为了最佳地选择参与的发电机,使用了一种基于发电机对拥挤线路的功率流敏感度的技术。此外,本文还提出了一种基于粒子群优化(PSO)的算法,该算法可将发电机功率输出的重新计划值与计划水平的偏差最小化。已在IEEE 30总线和IEEE 118总线系统上分析了所提出方法的有效性。

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