The Study On Strategy For Optimization Of Voltage And Reactive Power In Substation

The reactive power optimization in power system is one of the most importantmeans to improve the voltage quality, extend the life of reactive power adjust equipments,and it guarantees the power system to operate economically and stably. It is verynecessary to study the control strategy for optimization of voltage and reactive power，because these substations play the significant role in the regulation of voltage and reactivepower.The phenomena such as the frequent regulation of the main transformer tap and thehigh action of capacitor operating, guarantee lower bus voltage and higher bus reactivepower qualification rates,it is proposed in this paper that the control strategy foroptimization of voltage and reactive power in substation based on probabilistic forecast.The wavelet neural network is adopted to forecast the load and voltage. The optimizationmathematical objective function of the satisfaction of voltage and reactive power isestablished by considering the times of equipments’ operating as constraint conditions.With multi-Agent technology，this paper establishes the model of connected substationsoptimization of voltage and reactive power, use ACO and multi-Agent technology to findthe best tap position of main transformer and number of reactive power compensationcapacitors, to determine the action plan of the taps and the capacitors.The application of a distribution system in a region and the comparison betweenoptimization ideas based single substation and this method are analyzed in this paper. Thevoltage and reactive power quality, the equipments’ action number limit, it suggests thatthe strategy studied in this paper is feasible.