Optimizing Photovoltaic Operation Control for Community with CCHP under Economy Scales

Abstract

With the rapid development of industry, carbon emissions and other environmental problems have become increasingly prominent due to the consumption of fossil fuels, which can be alleviated by changing the mode of energy utilization and utilizing renewable energy. Because of its high energy efficiency, less pollution and the ability to realize the cascade utilization of energy, the combined cooling heating and power (CCHP) system will become the development trend of the distributed energy supply system in the future. In this paper, solar energy refrigeration mode, photovoltaic power supply mode, and waste heat refrigeration technology are used to construct the control method of the power supply mode of CCHP system with solar energy in the park and establish two kinds of energy supply modes including fuel cost and electricity purchase cost respectively. Considering the deviation of solar power output prediction, the stochastic objective functions are described by α-super-quantile method and the optimization model is established. The simulation results are solar energy parameters. The economic benefit of CCHP system running in cooling mode is higher than that of power supply mode, which can provide new ideas for the efficient and rational utilization of renewable energy under the background of smart grid.