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SCENE ANALYSIS BASED OPERATING STATE PREDICTION METHOD OF POWER DISTRIBUTION NETWORK INCLUDING DISTRIBUTED POWER

机译:基于场景分析的含分布式电源的配电网运行状态预测方法

摘要

A scene analysis based operating state prediction method of a power distribution network, comprising the following steps: Step (10): acquiring a network architecture and historical operation information of a power distribution system; Step (20): extracting an output representative scene series segment of a distributed power according to a historical output series of the distributed power; Step (30): obtaining a future single time section T0 multi-scene prediction result by matching similar historical scenes; Step (40): establishing a future multi-time section operating scene tree; Step (50): depth-traversing various scenes in the future multi-time section operating scene tree, performing power distribution network flow analysis for the various scenes, and calculating an out-of-limit risk of a power distribution network line current and an out-of-limit risk of a bus voltage to obtain a future operating state changing trend of the power distribution network including the distributed power. According to the method, the operating state of the power distribution network including the distributed power is predicted, so that the development trend of the operating state of the power distribution network is predicted in real time by means of multi-scene analysis, and risk prediction can be timely implemented.
机译:基于场景分析的配电网运行状态预测方法,包括以下步骤:步骤(10):获取配电系统的网络架构和历史运行信息;步骤(20):根据历史数据的分布式电源输出序列,提取分布式电源的输出代表场景序列片段;步骤(30):通过匹配相似的历史场景,获得未来的单时间区间T 0 多场景预测结果;步骤(40):建立未来的多时段区间操作场景树;步骤(50):深度遍历未来多时间段操作场景树中的各个场景,对各个场景进行配电网潮流分析,计算配电网线电流和功率的超限风险。总线电压的超限风险,以获取包括分布式电源在内的配电网络的未来运行状态变化趋势。通过该方法,可以预测包括配电网在内的配电网的运行状态,从而通过多场景分析和风险预测来实时预测配电网的运行状态的发展趋势。可以及时实施。

著录项

  • 公开/公告号WO2019041857A1

    专利类型

  • 公开/公告日2019-03-07

    原文格式PDF

  • 申请/专利权人 SOUTHEAST UNIVERSITY;

    申请/专利号WO2018CN84936

  • 发明设计人 GU WEI;SONG SHAN;ZHOU SUYANG;WU ZHI;

    申请日2018-04-27

  • 分类号H02J3/46;

  • 国家 WO

  • 入库时间 2022-08-21 11:56:18

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