Optimal Reactive Power Planning Of Jixi Power System On Improved Particle Swarm Optimization Algorithm

With the increasing of power capacity and electric equipment,the requirement of reactive power grows day by day.The unbalanced reactive power will cause the drop of voltage and power factor,the decline of capability of active power transmission,and the increase of active power loss,so the equipments can not be sufficiently utilized,even be damaged. The purpose of reactive power optimization and planning is to determine the optimal control strategy and optimize sizes and locations of var sources,so that the safe and economic operation of power systems can be maintained.The reactive power optimization is decreasing the transmission active power loss and keeping reactive power balance on site by adjusting the generator bus voltages,transformer taps and reactive power compensation capacities in the condition of power load requirement. so it has the all-important theoretical value and practical significance.This paper puts great emphasis on the analysis of the structure and the principle of Particle swarm optimization firstly, The particle swarm optimization is applied into the reactive power optimization, which is inadequate and insufficient to the optimal operation of power systems due to the inherent complexity, Taking advantage of the randomicity, variability of differential evolution, making the local superior individual of PSO mutated, then return to PSO to search the global superior individual, the ability of search has been improved, the proposed algorithm is tested on IEEE30-bus, and the results verify the feasibility and effectiveness of the proposed algorithm. For the reactive power planning of Jixi Grid ,analyzing the sensitivity of every bus of Jixi Grid firstly,choosing some buses as reactive power compensation'bus and then putting this method into reactive power planning of Jixi Grid ,the experimental results show that after the present method's calculation on Jixi reactive power planning,the voltage quality and distribution of reactive power optimization has been improved.Line loss also has been reduced.All of these fully proved that this method is really useful and has practical significance.