Unit commitment incorporating wind energy by BBO and GA

This paper proposes biogeography based optimization (BBO) algorithm and genetic algorithm (GA) to solve the unit commitment problem incorporating the wind energy (UCIW) uncertainty. Unit commitment (UC) problem is mainly finding the minimum cost schedule to a set of generators by turning each one either on or off over a given time horizon to meet the demand load and satisfy different operational constraints. There are many constraints in unit commitment problem such as spinning reserve, minimum up/down, crew, must run and fuel constraints. In this paper, BBO and GA are used to solve the UCIW problem for four and six generator system, then a comparison will be done between the results of both algorithms with other algorithms in literature if possible. And if not the comparison will be between the two algorithms only.