phase shifter allocation and transmission expansion planning in competitive energy market:a hybrid ga and qp application

this paper presents a framework for long term transmission expansion planning in competitive, electricity markets. transmission lines and phase shifters are taken into account as expansion options. maximization of the network users' benefits, with satisfying security constraints are considered as the criterion for transmission expansion planning. the elements of the objective function are the benefits of each network. the proposed model is as a non-linear mixed-integer programming (nlmip) optimization problem. a ga (genetic algorithm) based method and quadratic programming (qp) approach is used to solve the problem. the discrete decision-making variables of the expansion plan are optimized by genetic algorithm, while qp optimizes the continuous variables.