The Synthetic Reactive Power Optimization Considering The Constraints Of The Maximum Allowable Number Of Switching Operations

The distribution of reactive power has close relations with not only voltage amplitude but also the power loss. So the reactive power optimization problem is an important subject in the research domain of power system, but because of the realization of power market in recent years, the traditional reactive power optimization model can't adapt to the requirements of power market, the study on reactive power optimization model which can adapt to the requirements of power market has theoretical meaning and practical value. In the traditional mathematical model of reactive power optimization, usually taking the minimization of the power loss as the objective function, in order to adapt to the actual conditions in the power market, the mathematical model of reactive power optimization described in this paper considers not only system power loss but also the price of the reactive power. We use a new algorithm which has the ability of global search and better adaptability―Genetic Algorithm integrated with Alopex in this paper as the solution method.In order to reduce the switching operations of transformer, increase the service time of equipments, we proposed a sectionalized based reactive power optimization method in the paper to satisfy the requirements of one-day reactive power optimization, this method divides one day into several sections and performs reactive power optimization separately according to the load level, its changing tread and the maximum allowable number of switching operations. This method can meet constraints of the maximum allowable number of switching operations easily, moreover optimization calculation only includes voltage of generator and compensation capacity for most time segments, so it improves calculation speed. The results of the calculation examples demonstrate that the method described in the paper is feasible.