宋道军,王杰,虎啸,熊兰.改进粒子群算法的无功补偿方案优化以及对配电网电能质量的改善[J].电测与仪表,2020,57(18):18-23. SONG Dao-jun,JIE Wang,HU Xiao,XIONG Lan.Optimization of reactive power compensation scheme based on improved particle swarm optimization algorithm and improvement of power quality of distribution network[J].Electrical Measurement & Instrumentation,2020,57(18):18-23.
改进粒子群算法的无功补偿方案优化以及对配电网电能质量的改善
Optimization of reactive power compensation scheme based on improved particle swarm optimization algorithm and improvement of power quality of distribution network
LabVIEW is used as a development platform to comprehensively program five steady-state indicators of power quality, with parameters such as parameter statistics and data reporting. It also realizes real-time communication between Simulink reactive power compensation model variables and LabVIEW controls, making up for Simulink simulation. The disadvantages of insufficient visual effects and cumbersome parameter modifications have reduced the complexity of LabVIEW reactive compensation programming. In the power quality testing, the functional design of the steady state index analysis method, data report and parameter statistics are described. The Simulation Interface Toolkit (SIT) is used to control the Simulink. The reactive power compensation (PSO) algorithm is used to compensate the reactive power compensation. Compared with the traditional reactive power compensation, the improved PSO algorithm can effectively avoid the circuit resonance. . The experiment and simulation prove that the software has good practical value for the selection of equipment parameters for on-site reactive power compensation.
