基于粒子群的动态无功优化  

Dynamic Reactive Power Optimization Based on Particle Swarm Optimization

作　　者：董昂 马立新[1] DONG Ang;MA Li-xin(School of Optical-Electrical and Computer Engineering, University of Shanghai for Science & Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《控制工程》2019年第1期150-154,共5页Control Engineering of China

基　　金：上海市张江国家自主创新重点项目(201310-PI-B2-008)

摘　　要：传统的无功优化针对某一电网络的瞬时时刻进行的无功优化,动态无功优化以全天负荷变化曲线为负荷依据,实行全天的无功控制,从而降低整条网络的无功损耗。实际电力系统中各节点负荷随时间变化而改变,传统静态无功优化难以实现。采用粒子群算法根据静态时无功优化,确定网络中的控制设备动作次数。从而每个时段控制设备的预动作,再根据研究当前时段的设备的动作情况进行优化,进一步完成实际运行中负荷变化的动态无功优化。建立动态模型运用于IEEE14节点系统中进行仿真,验证其可行性。The traditional reactive power optimization is optimized for the instantaneous moment of an electrical network.However,the dynamic reactive power optimization is based on the load curve of the whole day.And it can implement all-day reactive control,thereby reducing the entire network of reactive power loss.In the actual power system,the load of each node changes with time,and the traditional static reactive power optimization is difficult to achieve.In this paper,the particle swarm optimization algorithm is used to determine the action times of control devices in the network.Therefore,the pre action of the control device at each time period is optimized.And then the situation is optimized according to the current situation of the operation of the equipment.Based on these above,we can complete the actual operation of the load changes in dynamic reactive power optimization.The dynamic model is established to simulate the IEEE14 node system,and its feasibility is verified.

关 键 词：动态无功优化 粒子群 分时段 

分 类 号：TM921.47[电气工程—电力电子与电力传动]