Study of reactive power optimization strategy based on load characteristics

In order to optimize reactive source of network and make best use of reactive adjustment ability existed, on the other hand, to solve problems of low voltage qualification rate and high power loss, the paper has put forward research strategy of reactive power optimization based on load characteristics and comes up with the method of node least increment and way of approximation linearization. With real measure data after analysis of load characteristics, use discrete quantum particle swarm algorithm to do continua optimization calculation based on node least increment strategy, gain the best location of transformer taps and reactive source allocation capacity of every bus; In addition, the paper demonstrates time efficiency of optimization strategy with load data which rising 10% line riz ationally. The research strategy in the paper can solve practical problems in network operation and can satisfy scene demand through analysis of power loss and average out-of-limit rate of voltage after application in region network.