Demand Side Management Of Household Appliances in a Smart Residential Microgrid Using Particle Swarm Optimization Algorithm

Smart grid has brought many benefits for both utility companies and electricity customers through various demand side management programs. In this paper a new DSM program based on load shifting and dynamic pricing foR electricity consumption for controllable appliances is proposed. The main objective of proposed algorithm is to reduce load peak demand an also electricity bill with respect to the customers’ welfare. The objective load curve is choseninversely proportional to the wholesale electricity price in the residential area. In order to have an optimized load curve pattern,particle swarm optimization (PSO) algorithm is applied to the proposed DSM technique. The results show that a magnificent save in power production andtherefore electricity bill can be achieved with a proper demand management with no interfere in customers’ welfare

Keywords:

Demand Side Management , Smart Grid , Dynamic Pricing , Load Shifting