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This paper aims at the latest approach for solving the securityconstrained unit commitment problem (UCP) dependent on Improved Benders Decomposition (IBD) to Adaptive Particle swarm optimization with differentially perturbed velocity (APSODV). The proposed IBD determines the optimal unit commitment schedule which includes minimum up/downtime and spinning reserve constraints. APSODV algorithm initializes and updates the Lagrangian multipliers and improves the solution fineness. The accomplishment of the suggested technique is at first examined on a 10-unit system and extended to 100-unit with a 24-h horizon. The results specify that an effective and strong solution for UC can be attained from the proposed technique.

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