引用本文:李晖,汪莹,罗天,等.基于电气介数的电网故障无功规划选址与定容[J].控制与决策,2019,34(8):1609-1615
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基于电气介数的电网故障无功规划选址与定容
李晖1, 汪莹1, 罗天2, 林巍3, 杨秦敏3
(1. 国网经济技术研究院有限公司,北京102209;2. 电力传输与功率变换控制教育部重点实验室,上海交通大学,上海200240;3. 浙江大学控制科学与工程学院,杭州310023)
摘要:
无功补偿对电网减少线路损耗、提高故障应对能力和稳定性等有着显著作用.为此,基于电网拓扑电气介数模型,针对有限经济约束的电网输电线路N-1故障,考虑电网系统无功补偿的经济性约束和潮流方程电气约束,建立包括最小发电费用、最大网损降幅和最优裕度提升为目标函数的优化模型,求解输电线路N-1故障情况下的无功补偿策略的最优选址定容.最后,考虑到构建的混合整数非线性模型的复杂性与难以凸化松弛,通过改进的精英策略的自适应遗传算法求解最优潮流问题,并通过IEEE-14节点标准测试系统进行算法验证,从而表明所提出算法的有效性以及策略的可行性.
关键词:  电气介数  无功补偿  选址定容  最优潮流
DOI:10.13195/j.kzyjc.2018.1769
分类号:TP29
基金项目:国家电网公司总部科技项目;国家自然科学基金项目(61673347, 61751205).
Fault reactive power location and capacity planning using electric betweenness
LI Hui1,WANG Ying1,LUO Tian2,LIN Wei3,YANG Qin-min3
(1. State Grid Economic and Technological Research Institute LTD,Beijing102209,China;2. MOE Key Laboratory of Control of Power Transmission and Conversion,Shanghai Jiaotong University,Shanghai200240,China;3. College of Control Science and Engineering,Zhejiang University,Hangzhou310023,China)
Abstract:
Reactive power compensation plays a significant role in reducing the line of the power grid and improving fault handling ability and stability. As a consequence, this paper aims at the transmission N-1 fault and the dominant fault of the power grid under limited economic constraints based on the electrical intermediary model of the grid topology. Considering the economic constraints of reactive power compensation and the constraints of power flow equations, the optimal object is combined with the minimum generation cost, the loss of network and the optimal margin, in order to explore the dominant line fault conditions optimal compensation strategy. Finally, due to its complexity of the mixed-integer nonlinear model and hard for convex relaxation, the adaptive genetic algorithm of the improved elite strategy is uesd to solve the problem. Simulation on the IEEE-14 node system validates the effectiveness and feasibility of the proposed algorithm.
Key words:  electric betweenness  reactive compensation  location and sizing  optimal power flow

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