Research On Optimal Power Flow Of Power System By Complementary Function

With the increasingly tight form of energy,the whole society is increasingly advocating the rational optimization of resource allocation.Electric power as a clean and efficient energy,in social development play an increasingly important role.In today's power system,power producers as power producers,their own distribution and configuration there are many problems,because of the existence of these problems,the power plant can not be the most economical way to run,which indirectly led to a part of the waste of electricity;At the same time,due to power grid structure and other factors,the transmission line in the network loss can not reach the minimum,which in turn led to another part of the waste of electricity.The problem to be solved in this paper is how to minimize the power consumption of these two parts.The optimization theory is the best theory to study this kind of problem,and the solution of the above problems requires the calculation of the power flow,both in the production practice combined with the power system optimal power flow calculation.Power system power flow calculation has some relatively mature algorithm,such as penalty function method,the point method and so on.But they also have their own deficiencies,such as the penalty function method for the value of the penalty factor will affect the Hysen matrix,serious may lead to Newton iteration does not converge.In the interior point method,we need to introduce the slack variable for the inequality constraint processing,which increases the number of variables,and the relaxation variable itself is required to be greater than zero,which is not conducive to the reduction of the calculation.In order to solve the problems in the above algorithm,this paper adopts a new optimal power flow calculation model,which is solved by KKT complementary condition.After the analysis and calculation,the calculation model can calculate the optimal power flow of the power system The Global Solution of Convex Network Power System.