电工技术学报2017，Vol.32Issue(z1)：75-83,9.DOI:10.19595/j.cnki.1000-6753.tces.L70726
基于协调控制SVG的低压配网三相负荷不平衡治理技术
The Control Technology of Three-Phase Unbalance Load in Low Voltage Distribution Networks Based on Coordinated Controlled SVGs
摘要
Abstract
Concentralized static var generator (SVG) compensation system has single compen-sation effect and distributed SVG compensation system without communication function can not distribute SVG's compensation capacities intelligently. Aiming at these problems, a compensation system based on SVGs' coordinated control strategy was proposed for three-phase unbalance load in low voltage distribution network. Communication bus and coordinated control strategy are introduced in the proposed system. After compensating the downstream unbalance current, the residual capacity of the downstream SVG is used to compensate the upstream SVGs in sequence. The low voltage problem of each node is further reduced by the reverse power flows from the downstream SVG to the upstream SVG. And then SVG's capacity in the proposed compensation system can be fully used. Meanwhile, the problems of the distribution transformer's unbalance current and the node's low voltage are synthetically solved. Simulations for actual effect evaluation of the proposed compensation system were done in Matlab/Simulink. Validity of the proposed system is confirmed by the simulation. In four different load cases, four different compensation systems were applied in low voltage distribution station, respectively. Unbalance currents of distribution transformer secondary and node voltage drops in these cases were compared. Comparison results show that proposed compensation system has the best compensation effect.关键词
低压配网/三相负荷不平衡/配电变压器运行/协调控制/静止无功发生器/电能质量Key words
Low voltage distribution networks/three-phase load unbalance/distribution transformer operation/coordinated control/static var generator (SVG)/power quality分类
信息技术与安全科学引用本文复制引用
邓惠华,李国良,周晓明,李汉荣,王浩..基于协调控制SVG的低压配网三相负荷不平衡治理技术[J].电工技术学报,2017,32(z1):75-83,9.基金项目
广东省自然科学基金(2014A030310191)和广东省省级科技计划(2014B040404002)资助项目. （2014A030310191）
