An improved differential evolution algorithm for transmission network planning

Transmission network planning (TNP) is a mixed integer, non-linear, non-convex optimization problem, which is very complex and computationally demanding. This paper presents an improved differential evolution (IDE) algorithm to solve the TNP problem based on DC power flow model. The self-adaptive control parameter strategy is adopted to improve the robustness of the algorithm. Moreover, tournament selection operator is employed to avoid the difficulty of select the penalty coefficient while formulating the fitness function. The numeric results on 18-bus test system show the effectiveness of the proposed algorithm.