Optimal Scheduling of Integrated Community Energy System Considering Carbon Emission Reduction and Economic Viability

Abstract

An integrated community energy system optimization method considering carbon emission reduction is proposed to improve its low-carbon operation level and reduce the total operating cost. Considering the uncertainty of wind power and solar power output, the uncertain power curve of new energy output is obtained by using scenario generation and scenario reduction methods. Ground source heat pumps are used to absorb excess renewable energy to decouple the "heat and power" problem. A carbon trading mechanism will be introduced into the integrated community energy system to further control carbon dioxide emissions and reduce carbon emission levels. Based on this, the optimal scheduling model of the integrated community energy system is established, which aims for minimizing the sum of daily operation cost and environmental management cost. Take a demonstration park as an example, and through setting different scenes for comparative analysis. The results show that the optimized scheduling method of integrated community energy system considering carbon emission reduction can reduce the cost and carbon dioxide emission of the system.