智能变电站负荷自动分配技术

doi:10.11930/j.issn.1004-9649.2016.03.104.06

摘要/Abstract

摘要： 研究智能变电站负荷自动分配技术的主要措施、提出发展方案，对支撑智能电网发展具有重要意义。基于配电网无功优化和网络重构，建立了智能变电站负荷自动分配数学模型，选取基于导向搜索法的无功优化算法和基于虚拟流法的网络重构算法，实现了以有功网损最小为目标的负荷自动分配。充分考虑分布式电源接入后配电网结构和运行方式发生的变化，基于出力特性，采用场景分析法建立模型，优化智能变电站负荷自动分配算法，实现了根据分布式电源出力调整负荷分配量的智能变电站负荷分配系统方案。验证表明，该方案能够保证无功补偿装置正确投入退出、分段开关和联络开关正确开合，线路有功损耗下降，有效提高了电网分析和控制功能的速度和可靠性。

关键词: 无功优化, 网络重构, 导向搜索法, 虚拟流法, 场景分析法

Abstract: It is highly significant for supporting smart grid development to carry out research on smart substation load distribution technology and scheme. Based on the reactive power optimization and network reconfiguration, a mathematical model is established for smart substation load distribution, and a combination of guide search method and virtual flow method is developed for minimizing active power loss. Taking a full consideration of the change of distribution network and operation mode after integration of distributed energy resources, a smart substation load distribution system scheme has been developed by applying scenario analysis methodology based on power output characteristics. Correspondingly the smart substation load automatic distribution algorithm is optimized in order to adjust load distribution according to distributed energy output. It has been verified that this scheme can guarantee the correct entrance and exit of reactive power compensation devices and the correct opening and closing of section switches and connective switches, and it can improve the speed and reliability of power grid analysis and control with line active power loss reduced.

Key words: reactive power optimization, network reconfiguration, guide search method, virtual flow method, scenario analysis methodology

中图分类号:

TM715

胡滨，王旭阳，侯佳. 智能变电站负荷自动分配技术[J]. 中国电力, 2016, 49(3): 104-109.

HU Bin, WANG Xuyang, HOU Jia. Intelligent Substation Load Distribution Technology[J]. Electric Power, 2016, 49(3): 104-109.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.2016.03.104.06

https://www.electricpower.com.cn/CN/Y2016/V49/I3/104

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