Transmission Network Expansion Planning under Improved Genetic Algorithm
Improved genetic algorithm for solving the transmission network expansion planning is presented in the paper. The module which considered the investment costs of new transmission facilities. It is a large integer linear optimization problem. In this work we present improved genetic algorithm to find the solution of excellent quality. This method adopts integer parameter encoded style and has nonlinear crossover and mutation operators, owns strong global search capability. Tests are carried out using a Brazilian Southern System and the results show the good performance.
Weiguo Pan, Jianxing Ren and Yongguang Li
H. Fan and Y. X. Jin, "Transmission Network Expansion Planning under Improved Genetic Algorithm", Advanced Materials Research, Vols. 347-353, pp. 1458-1461, 2012