摘要
无功优化是配网降损的有效措施之一,接入配电网的分布式电源DG(distribution generation),通过与其他无功补偿设备协调配合,可有效降低系统网络损耗,但DG和负荷的随机性与波动性会影响系统无功优化的结果。为此,该文提出采用最优场景法模拟DG和负荷的随机性,建立网损、电压偏差最小的多目标数学模型,对传统人工蜂群算法ABC(artificial bee colony algorithm)改进并用于模型求解。最后,在改进的IEEE-33节点系统中仿真分析,表明所提方法能够较为精确地模拟DG和负荷的随机性,有助于配电网无功优化运行,降低网损与电压偏差,提高电压稳定性。
Reactive power optimization is one of the effective measures for distribution network loss reduction. The distributed generation(DG) connected to the distribution network can effectively reduce the system network loss by coordinating with other reactive power compensation equipment. However,the randomness and volatility of DGs and loads can affect the results of reactive power optimization. Therefore,this paper proposes to use the optimal scene method to simulate the randomness of DG and load,establish a multi-objective mathematical model with minimum network loss and voltage deviation. The traditional artificial bee colony algorithm(ABC) is improved and used for model solving. Finally,the simulation analysis in the improved IEEE-33 node system shows that the proposed method can accurately simulate the randomness of DG and load,which is helpful for reactive power optimization operation of distribution network,reducing network loss and voltage deviation,and improving voltage stability.
作者
王冠翔
郭文萍
廖敬丹
陈国发
张永年
WANG Guan-xiang;GU0Wen-ping;LIAO Jing-dan;CHEN Guo-fa;ZHANG Yong-nian(State Grid Gansu Electric Power Company Wuwei Electric Power Supply Company,Wuwei 733000,China;College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China)
出处
《自动化与仪表》
2018年第12期5-10,共6页
Automation & Instrumentation
基金
国网甘肃省电力公司科技项目(522708170006)
国家自然科学基金项目(51467009)
关键词
无功优化
最优场景法:人工蜂群算法
多目标
reactive power optimization
optimal scene method
artificial bee colony algorithm
multi-objective
