Carbon-free energy optimization in intelligent communities considering demand response

Abstract

With the gradual improvement in people’s quality of life, intelligent communities are received widespread attention and research. However, the massive use of various smart appliances causes a rapid increase in energy demand and carbon emissions. Therefore, in this paper, the novel carbon-free energy optimization method under the designed energy structure suitable for an intelligent community is proposed to deal with energy depletion and environmental pollution. First, the energy supply side makes full use of clean energy generation technologies to provide users with adequate energy, which is composed of photovoltaic (PV), wind turbine (WT) and hydrogen steam turbines. Second, considering the demand response (DR) of the load side, household appliances are modeled according to the working characteristics. Then, the energy treatment mode of renewable energy sources (RESs) grid-connected reverse transmission is changed. The power to hydrogen (P2H) technology is introduced into the energy structure of intelligent residential quarters to increase the proportion of hydrogen energy in the region. Moreover, the energy storage device and electrification technology are combined to realize the production and application of regional hydrogen and achieve the goal of non-carbonization of regional energy structure. Finally, in simulation part, the optimal solution in the scheduling cycle is obtained by YALMIP solver, and time-of-use (TOU) electricity prices are used to calculate the final electricity cost. It is displayed that carbon emissions and energy consumption cost can be reduced, and the pressure of peak power consumption relieved based on the designed non-carbonization energy structure and energy optimization method.