Bio-inspired computational technique to multiobjective optimal planning of electric power generation and dispatch

In this paper, a Genetic Algorithm (GA) based fuzzy goal programming (FGP) technique to multiobjective optimal planning of electric power generation and dispatch problem in power system operation and planning phases is presented. In the proposed approach, fuel cost, environmental emission and voltage deviation objectives of optimal power flow calculation are fuzzily described. In the solution process, the GA method is used in an iterative manner for satisficing the goal levels on the basis of needs and desires of the power system operation and planning perspective. In the GA based solution search process, the conventional Roulette wheel selection scheme, single-point crossover and bit-by-bit mutation are taken into consideration to reach a satisfactory decision. The developed method has been tested on IEEE 6-generator 30-bus System.