Energy Optimization for a Simple Household Microgrid Based on Demand Response

Energy management in demand side is an important way to realize demand response in smart grid, in this paper we established a household microgrid model which includes PV, battery and home appliances, and then we proposed an intelligent coordination control scheme for home energy management. For the thermostatically controlled appliances(TCA), an optimization based on Nash bargaining solution of game theory is applied to make a tradeoff between operating cost and satisfaction. For other control variables, like the charge and discharge of battery and the energy trading among external grid, these can be calculated through optimization aim at minimizing the total cost of the household photovoltaic microgrids system. Finally, in the numerical example, we calculate the related variables and the optimization results; moreover, a comparison between traditional optimization shows that the household electricity optimization in our scheme is effective and humanize for reducing the operation cost and achieving demand response.