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基于柔性互联配电网的概率潮流算法综述 被引量:3

Summary of Probabilistic Load Flow Algorithm Based on Flexible Distribution Network
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摘要 随着新能源的高度渗入,储能装置、电动汽车的接入以及需求侧资源的参与,其高度的随机性将对传统配电网的运行提出巨大挑战。柔性互联配电网(Flexible Distribution Network,FDN)因其优异的接入随机输入性能受到越来越多的关注,因此对含这些不确定性输入的FDN进行研究变得极为重要,而概率潮流分析方法能够准确全面地反映各种随机因素对配电网运行状态的影响,可以为配电网的经济运行及可靠性分析等提供重要的参考信息。首先分析FDN的拓扑结构与功能;其次对概率潮流的原理进行详细介绍,包括不确定性模型的搭建、相关性的转换、概率潮流求解;然后介绍了几种FDN交直流迭代算法;最后展望FDN概率潮流算法研究发展方向。 With the high penetration of new energy,the access of energy storage devices and electric vehicles,and the participation of demand-side resources,its high randomness will pose a huge challenge to the operation of traditional distribution networks.Flexible distribution network(FDN)has attracted more and more attention because of its excellent access random input performance.Therefore,research on FDN with these uncertain inputs becomes extremely important.The probabilistic load flow analysis can accurately and comprehensively reflect the influence of various random factors on the operation state of the distribution network,and can provide important reference information for the economic operation and reliability analysis of the distribution network. The article first analyzes the topology and function of FDN;secondly, it introduces the principle of probabilistic load flow in detail, including the construction of uncertainty models, the conversion of correlation, and the solution of probabilistic load flow;then it introduces several FDN iterative and alternative AC-DC algorithms;finally, the research and development direction of FDN probability load flow algorithm is prospected.
作者 赵真 袁旭峰 熊炜 朱江行 朱拉沙 吴舟 ZHAO Zhen;YUAN Xufeng;XIONG Wei;ZHU Jiangxing;ZHU Lasha;WU Zhou(The Electrical Engineering Collage,Guizhou University,Guiyang 550025,China)
出处 《电力科学与工程》 2020年第6期17-23,共7页 Electric Power Science and Engineering
基金 国家自然科学基金资助项目(51667007) 贵州省科学技术基金项目([2019]1128),([2018]5615)。
关键词 新能源 概率潮流 交替迭代算法 柔性互联配电网 new energy probabilistic load flow alternative-iterative algorithm FDN
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