Active power security correction in power market using genetic algorithms

A method for active power security correction in power market based on genetic algorithms is proposed in this paper. The aim of active power security correction in a power market is to regulate the active power output of generators properly to alleviate overloads of transmission lines with the least increase of market purchase cost. The mathematical model of the problem is given, the principle of genetic algorithms and their application procedures are explained briefly as well. Some improvements to the crossover operator, and to crossover and mutation probability of simple genetic algorithm (SGA) are presented, forming improved genetic algorithm (IGA). The application of IGA in the active power security correction in a power market is then demonstrated. The method is proved to be correct in theory and feasible in engineering practice, according to the results of active power security correction calculation for a 22-node network example.