Aggregation of Unit Commitment with Demand Side Management

Multi-objective unit commitment (MOUC) problem incorporated with price elasticity demand with the participation of residential customers in ancillary service markets having multilevel incentives using hybrid method is proposed. In this paper, the proposed hybrid method is the combination of non-dominant sorting genetic algorithm-II (NSGA-II) and population variant differential evolution (PVDE) algorithm. The hybrid method is implemented in scheduling thermal units for achieving an optimal value of multi-objective, namely cost and emission. Demand side management has become a key factor in compensating the unreliable situation during peak hours of load demand. Intervention of consumers in incentive based demand response programs (DRP) for diminishing of peak loads in peak times is applied. Demand reduction request (DRR) from entities insists the customers to participate in the DRP based on their comfort level of engaging air conditioners and allocates the incentives, which is beneficial for both customers and utilities. The proposed method is examined on IEEE thirty nine bus system with ten generators and also on 17 unit system with 50, 80 and 100 percent compromise of customers in DRP.