A solution to the generation scheduling problem in power systems with large-scale wind farms using MICA

This paper presents a novel solution, based on the Imperialistic Competition Algorithm (ICA), in order to determine the feasible optimal solution of the Generation Scheduling (GS) problem, in power systems with large scale wind farms. The reserve requirement, load balance and wind power availability constraints are considered in this work. In order to solve a highly constrained GS problem, a modified version of ICA is introduced to improve the initialing new countries and assimilation operators of ICA. The proposed MICA is applied on different test systems, with different wind energy penetration level. The results are compared with other methodologies and the comparison demonstrates the validity and efficiency of the proposed method, which results in near optimal schedules, while considering different equality and inequality constraints.