A Trust Region Interior Point Method In Linear Programming Model For Power System Reactive Power Optimization

It may optimize reactive power distribution in power system by Optimal Reactive Power Dispatch, which is an effective measure to reduce the transmission loss and the voltage loss, and to make electro-equipment running on the safe side, and to improve the voltage quality. And that is also one of the most important control methods to ensure power system operation securely and economically. Moreover research for the reactive power optimization algorithm is terribly important. First, Jacobi matrix of power flow directly transformed into coefficient of sensitivity is employed to form linear programming model of reactive power optimization problem. Then a trust region method is introduced to the problem of linear step size dynamically adjusted. That is linear step size is adjusted by using the trust region method. In connection with that a new model is established based on a trust region method. At the same time, a primal-dual interior point method is applied to solving the linear programming sub-problem. The proposed method is applied to IEEE14 buses system, IEEE30 buses system and IEEE57 buses system. The result of calculation illustrates that the proposed strategy is effective. On selecting initial values of iteration of this method is not strictly demanded from interior point startup. It shows that compared with common strategy in the same condition, this approach can reduce remarkably iterative times and possess stable convergence. It is fit for solving reactive power optimization practical computation in power systems.