Application Of AVC In Suzhou Power Grid Based On Capacitor Optimal Configuration

There are many restrictions for discrete control devices of their time (including time of capacitor switching, time of transformer switching), which directly influences the degree of grid loss reducing and the stability of voltage and it is a goal for electric power researchers to make grid loss and voltage level be in a satisfied degree under the switching restrictions. Capacitors are always configured by experience so the configuration locations are not appropriate and an inversion of capacitor configuration between high and low voltage grid is caused, which results in frequently switching of control devices in AVC reactive power optimization model and greatly shortening the device life and restricting the grid loss degree and power level. This dissertation got the best capacitor configuration location, capacity and group number according to capacitor optimal configuration, which solved the control devices frequently switching problem, made grid loss be a best state under the situation of high level voltage, and reduced the control devices switching time greatly.Power system load is changeful and getting capacitor configuration with single load level obviously is not a good method. This dissertation chose high, moderate and low load level to configure capacitor and obtained configuration result respectively, then obtained capacitor grouping according to the result to make sure that the whole optimal configuration result would meet the requirement of different load levels.This dissertation adopted genetic algorithm as capacitor optimal configuration algorithm and some improvements were made to overcome the disadvantage of premature of simple genetic algorithm and enhance its searching ability. Applied AVC system based on capacitor optimal configuration to Suzhou power grid, the control devices switching time during AVC executing process is reduced and the frequently switching problem was solved.