The Method Study Of Power System Dynamic Reactive Power Optimization And Its Implement

Power system Vol/Var control can assure voltage quality, satisfy the demands of reactive power and the voltage stability of power system. The traditional reactive optimization is always operated under special load. But in the practical operation power system, the load is changing all the time. So the traditional reactive power optimization using sectional load data can not satisfy the demand of practical operation power system. Dynamic reactive power optimization synthetically considers the dynamic changing of node load and the operational count constrains of discrete control equipments, thought properly dispatch the operational schedule reach the optimization goal in whole.The paper proposes isolate niche genetic algorithm for the reactive power optimization due to the shortage of traditional genetic algorithm, such as the cord form, holding of population multiplicity, the GA operator and the stopping criterion. The paper analyzes the support vector machine technology, using similar day data for the training sample and synthesis considering meteorllogic factor, getting the short-term load forecast model based on support vector machine.The paper profoundly analyzes the problem of dynamic reactive power optimization based on the model of dynamic reactive power optimization, and proposes a new method for the dynamic reactive power optimization. At first, dividing one day's continuous load into 24-segments, then obtains the discrete control equipment value in each time-interval and the D-value of adjacent time-interval though static reactive power optimization using improved Genetic Algorithm(AGA), then determines control equipment operational time based on the D-value of adjacent time-interval. There is correlation between different control equipments in the practical operational power system, by using this correlation and the max operational time constraint of control equipment, combining the D-value of adjacent time-interval to renew the dispatch schedule. All of this makes the one day's reactive power optimization problem in whole. The simulation shows the new method not only is simple in calculation, but also can get the control equipment one day's dispatch schedule effectively. The result shows the method is effective for the dynamic reactive power optimization.