Application of improved partheno-genetic algorithm in generation expansion planning of power system

Abstract

The generation expansion planning (GEP) is essentially a complicated multi-stage combinatorial optimization problem. Traditional genetic operation may produce many ineffective chromosomes which would decrease the efficiency of search. A model for the generation expansion planning of power system based on partheno-genetic algorithm is presented and a subsection coding method is successfully used to solve the chromosome-coding problem. A variety of constraints which should be considered in GEP can be easily taken into account. The influence of several special operators, such as elitist reserved operators and disturbance operators, on the convergence is researched. Simulation results show that the presented model is reliable and effective, and using this model the global optimal solution with some sub-optimal solutions can be obtained. Acceding special operator into the presented model, both the calculation accuracy and the convergence speed can be improved.