引用本文:李剑辉,曹阳,辛拓,等.考虑电压暂降风险的高压配网动态无功容量优化配置[J].电力系统保护与控制,2014,42(8):47-53.
LI Jian-hui,CAO Yang,XIN Tuo,et al.Study on high voltage distribution network dynamic optimal allocation of reactive power capacity considering the risk of voltage sag[J].Power System Protection and Control,2014,42(8):47-53
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考虑电压暂降风险的高压配网动态无功容量优化配置
李剑辉1, 曹阳2, 辛拓1, 杨银国1, 曹一家2, 李帅虎2
1.广东电网公司电力调度控制中心,广东 广州 510000;2.湖南大学电气与信息工程学院,湖南 长沙 410082
摘要:
高压配网系统中,结合敏感负荷特性,引入电压暂降风险作为电压稳定的考虑对象。选用STATCOM进行动态无功补偿,从暂态研究电压稳定。建立无功优化的单目标函数模型,将电压暂降损失、线路有功损耗、动态无功补偿装置费用经济量化相加。设定多组无功容量并求取相应的总支出费用。通过Matlab软件对费用和容量进行曲线拟合,以计算最优容量。最后以广东电网某片区进行实例仿真,求取对应的最优解,结果显示在提高电力系统的安全可靠性同时也大大降低了经济成本。
关键词:  动态无功补偿  蒙特卡洛  电压暂降风险  高压配网  容量优化
DOI:10.7667/j.issn.1674-3415.2014.08.008
分类号:
基金项目:国家自然科学基金资助重点项目(61233008);广东电网专题研究项目(036000QQ00120001)
Study on high voltage distribution network dynamic optimal allocation of reactive power capacity considering the risk of voltage sag
LI Jian-hui1, CAO Yang2, XIN Tuo1, YANG Yin-guo1, CAO Yi-jia2, LI Shuai-hu2
1.Guangdong Power Dispatch Center, Guangdong Power Grid Company, Guangzhou 510000, China;2.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Abstract:
In high voltage distribution network system, combining with the sensitive load characteristics, this paper introduces risk of voltage sag as stability considerations object. It selects STATCOM device to function as a dynamic reactive power compensation and researches transient voltage stability. Single objective function model of reactive power optimization is put forward, which quantitatively adds the loss of voltage sag, the line active loss and cost of dynamic reactive power compensation devices. Here we calculate the multiple sets of the total cost corresponding to reactive power capacity. Finally, the fitting curve of cost and capacity is given by using MATLAB software to seek the corresponding optimal solution in some area of Guangdong power grid and the result shows that it not only improves the safety and reliability of the power system but also greatly reduces the economic cost.
Key words:  dynamic reactive power compensation  Monte Carlo  risk of voltage sag  high voltage distribution network  capacity optimization
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