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摘要
由于配电网负荷波动性会给转供操作带来一定的风险,因此在进行配电网负荷转供操作时,通常会因忽略电网负荷的不确定性从而导致转供效果不佳。对此,提出基于匹配潮流的配电网负荷在线紧急转供研究。采用相关性分析法,从配电网历史负荷数据中筛选出对负荷不确定性影响较大的关键特征,然后结合线性回归模型对负荷的期望值以及标准差进行预测,实现负荷不确定性建模。结合Distflow潮流计算模型,建立系统的状态方程。并通过迭代求解状态方程,从而得到系统的潮流解。通过结合图论算法,将电网拓扑结构表示为图的形式,并结合路径上所有边的传输效率以及稳定性的平均值等参数对综合评估函数进行构建。并通过更新邻居节点的评估值,对满足负荷转供容量需求的最优路径进行搜索。在实验中,对提出的方法进行了转供效果的检验。最终的测试结果表明,采用提出的方法对配电网负荷进行转供操作后,电网负荷失电量较少,具备较为理想的转供效果。
Abstract
Because the fluctuation of distribution network load will bring certain risks to the switching operation, when switching operation of distribution network load, the effect of switching operation is usually poor because the uncertainty of distribution network load is ignored. In this paper, the research on online emergency transfer of distribution network load based on matching power flow is proposed. By using correlation analysis method, the key features that have great influence on load uncertainty are selected from the historical load data of distribution network, and then the expected value and standard deviation of load are predicted by combining with linear regression model to realize load uncertainty modeling. Combined with Distflow power flow calculation model, the state equation of the system is established. By solving the state equation iteratively, the power flow solution of the system is obtained. By combining the graph theory algorithm, the power grid topology structure is expressed as a graph, and the comprehensive evaluation function is constructed by combining the transmission efficiency and the average value of stability of all edges on the path. By updating the evaluation values of neighboring nodes, the optimal path to meet the demand of load transfer capacity is searched. In the experiment, the effect of the proposed method is tested. The final test results show that, after the proposed method is used to switch power supply to the distribution network load, the power loss of the power grid load is less, which has an ideal switching effect.
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周倩, 李亮, 易春磊, 任小航, 杨成涛, 李培霞.
基于匹配潮流的配电网负荷在线紧急转供研究[J].
自动化技术与应用, 2026, 45(6): 178-182 DOI:10.20033/j.1003-7241.(2026)06-0178-05