Fast Security Constraint Unit Commitment by Utilizing Chaotic Crow Search Algorithm

This paper investigates the optimal operation of security constraint unit commitment (SCUC) as one of the most important concern in power system operation. SCUC is a mixed integer nonlinear problem (MINLP) which is hard to solve and also the optimal solution is not guarantee. To overcome this drawback, a new evolutionary method known as the chaotic crow search algorithm is developed. The proposed problem includes some significant constraints such as spinning reserve, generators ramp rate, load balance, and power limits. Finally, the proposed method is examined on a 10-unit distribution network. The results show the effectiveness and merit of the proposed technique.