NONLINEAR PRIMAL- DUAL INTERIOR POINT ALGORITHM FOR DISCRETE REACTIVE POWER OPTIMIZATION
Cheng Ying,L iu Mingbo South China U niversity of Technology,Guangzhou 5 10 6 40 ,China
A new algorithm for reactive power optimization problem involving both discrete and continuous variables is presented,which incorporating a penalty function into the nonlinear primal- dual interior point algorithm.By comparing with Tabu search method,the num erical results of several test system s show thatthe proposed m ethod is effective,and is superior to Tabu search m ethod on side of computation speed,convergence and optim ization accuracy. The effectiveness and practicality of the interior point algorithm in solving nonlinear mixed integer program ming model of reactive power optimization is improved.
【CateGory Index】： TM714.3