The Control Strategy For Optimization Of Voltage And Reactive Power In Substation Based On Load Forecast

The reactive power optimization in power system is one of the most important means to improve the voltage quality, reduce net loss, and ensure the security, stability and economic operation of power system. Substations play the important role of regulating voltage and reactive power. It is very necessary to optimize of voltage and reactive power.TIn order to avoid some phenomenon such as the regulation of transformer load tap, the high frequent action of capacitor switching, lower bus voltage qualification rates and the high network loss, it is come up with the control strategy for optimization of voltage and reactive power in substation based on load forecast in this paper. It is used radical basis function neural network for load and system voltage forecast. With the times of equipments'actions and the voltage quality as constraint conditions, the optimization mathematical objective function of the minimum system loss is established. This paper use apparent power fully compensated by the existing compensation capacitors as the first subsection load. According to the subsectional principle that voltage quality should be as high as possible, the load tap gear is determined. Based on the initial optimization results, the reactive power is used as subsection load by the principle of as much as possible compensation. The best amount of groups of compensation capacitors is determined in the secondary subsection optimization.The application of 35kV distribution system in a region and the comparison between optimization ideas based on nine areas and this method are analyzed in this paper. The voltage quality, the equipments'action number limit, the maximum reducing system network loss can be achieved.