多随机因素下含可中断负荷的电力系统优化调度模型与求解方法研究

发布时间：2018-03-07 09:31

本文选题：可中断负荷　切入点：多随机因素　出处：《中国电机工程学报》2017年08期 　论文类型：期刊论文

【摘要】：电力系统中存在大量的随机因素,为保障系统安全稳定运行,需留有一定备用容量。可中断负荷是一种基于激励的需求响应资源,在系统负荷高峰或发生故障时可中断部分负荷,保障系统安全稳定运行。基于机会约束规划,综合考虑了机组故障、线路故障、负荷预测误差及可中断负荷违约等随机因素,以系统运行成本最小为目标函数,构建了含可中断负荷的优化模型。通过蒙特卡罗模拟,把机会约束模型转化为期望值模型,实现模型从不确定性向确定性的转化,并采用拉格朗日松弛法对确定性模型求解。在算例分析中验证了模型的有效性,并重点分析了线路故障、可中断负荷违约及场景数量对优化结果的影响。
[Abstract]:There are a lot of random factors in power system. In order to ensure the safe and stable operation of power system, a certain reserve capacity should be reserved. Interruptible load is a kind of demand response resource based on incentive. The partial load can be interrupted during the peak load or failure of the system, which ensures the safe and stable operation of the system. Based on the opportunistic constraint programming, the random factors such as unit fault, line fault, load forecasting error and interruptible load default are considered synthetically, such as unit fault, line fault, load forecasting error and interruptible load default. The optimization model with interruptible load is constructed with the minimum operating cost as the objective function. Through Monte Carlo simulation, the chance constraint model is transformed into the expected value model, and the model is transformed from uncertainty to certainty. Lagrangian relaxation method is used to solve the deterministic model. The effectiveness of the model is verified by an example, and the effects of line faults, interruptible load defaults and the number of scenes on the optimization results are analyzed.
【作者单位】：新能源电力系统国家重点实验室(华北电力大学);
【基金】：国家高技术研究发展计划项目(863计划)(2015AA050102) 国家自然科学基金项目(513111122)~~
【分类号】：TM73;TM743

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