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A heuristic algorithm for maximum LOLP constrained unit commitment of wind power integrated system

机译:风电集成系统最大LOLP约束单元承诺的启发式算法

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This paper proposes a novel heuristic algorithm for maximum loss-of-load probability (LOLP) constrained unit commitment (UC) of significant wind power integrated system. Wind generation fluctuation and generator stochastic outage are considered in the model, and the maximum LOLP constrained UC is to prepare appropriate spinning reserve (SR) to keep the probability of loss of load under a predetermined upper limit. In the model, wind generation is treated as a multi-state unit according to its probability density function (PDF) which can be gotten by statistical or forecast approach. The algorithm solves the model by an iterative process between the traditional SR constrained UC and operating reliability estimation. Lagrangian relaxation (LR) is used here to solve the traditional UC problem while capacity outage probability table (COPT) is used to calculate the LOLP indicator. The specific SR update strategy makes the proposed heuristic algorithm more efficient. Test results on the RTS-96 system illustrate the efficiency of the proposed algorithm.
机译:本文提出了一种新的启发式算法,用于有效风电集成系统的最大空载概率(LOLP)约束单位承诺(UC)。该模型考虑了风力发电波动和发电机随机停机,并且最大LOLP约束UC用于准备适当的旋转备用量(SR),以将负载损失的可能性保持在预定的上限以下。在该模型中,风力发电根据其概率密度函数(PDF)可以被视为多状态单位,该概率密度函数可以通过统计或预测方法获得。该算法通过传统SR约束UC和操作可靠性估计之间的迭代过程来求解模型。拉格朗日松弛(LR)用于解决传统的UC问题,而容量中断概率表(COPT)用于计算LOLP指标。特定的SR更新策略使所提出的启发式算法更加有效。在RTS-96系统上的测试结果说明了该算法的有效性。

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