Appliances considered demand response optimisation for smart grid

Demand side management can bring a lot of benefits to smart grid, including reducing peak load demand, reshaping demand file and increasing grid sustainability. To obtain a more practical and rational demand side response optimisation, the authors first build a power network model with suppliers, utility companies, consumers with appliances and energy storage systems. Unlike other power network models previously proposed, power consumptions and work patterns of appliances have been considered in the authors' work. They classify appliances into elastic and inelastic ones according to their distinct constraints on power consumptions, while all appliances' work patterns are modelled based on their functions and common users' habits in reality. With the help of convex optimisation, a distributed load scheduling algorithm is proposed subject to social welfare maximisation. Simulation results confirm that the proposed load scheduling algorithm can lead to a suitable power consumption schedule to improve the social welfare than other load scheduling algorithm does. The effect of energy storage system on reducing the fluctuation of power network is also tested and proved to be effective. At last, a strategy of charge rate is also given to satisfy power consumption and avoid energy waste, which is further verified to be competent.