Abstract:
Bi-level programming to solve the multi-stage transmission expansion planning (MSTEP) is proposed. The mothed proposed in this paper is a problem of an integrated decision-making subsystem and layered decentralized decision-making, which is modelled using bi-level programming and using the mixed algorithm of adaptive genetic algorithm and primal-dual interior point method to solve the model. The objective function of upper level is the total coat, and the variables are the transmission paths to be built. The function objective of lower level is the penalty cost of load shedding and the variable is load shedding. Furthermore, some constraints should be satisfied, such as the number of new lines, line flow of normal operating conditions and N-1, generator output and connectivity verification. The IEEE-RTS 24 example system is used to analysis the model. Simulation results show that the proposed approach is accurate and efficient, and has the potential to be applied to large-scale power system planning problems considering efficient power plant (EPP).