Generator scheduling under competitive environment using genetic algorithm
In this paper, genetic algorithm (GA) is used to solve the GENCOs profit based unit commitment problem (PBUCP) in a dayahead competitive electricity markets considering power and reserve generations simultaneously, whereas enhanced lambda iteration (ELI) method is used to solve the economic dispatch (ED) sub-problem. The proposed algorithm helps GENCO to take decision regarding how much power and reserve must be put up for sale in the markets to receive the maximum profit. Moreover, two types of market strategies based on the demand constraint are discussed and implemented. Performance of GA is tested on 3-unit, 12-h and 10-unit, 24-h test systems. Results demonstrate that the proposed method is superior to the other methods reported in the literature.
Keywords: Competitive electricity market, Economic dispatch, Genetic algorithm, Unit commitment