2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) | 2021
Optimal Scheduling of CCHP Based on Comprehensive Demand Response
Abstract
In the case of excessive consumption of fossil energy and increasingly serious environmental pollution, the use of renewable energy power generation and gas turbine units to build a multi energy complementary integrated energy system, improve energy efficiency and reduce environmental pollution is the current hot issue. In this paper, the output of wind and solar renewable energy is combined with the Combined cooling, heating and power (CCHP) system of gas turbine. Considering the temperature comfort and power load demand response, a CCHP system based on comprehensive demand response is proposed. The scenario generation method is used to consider the uncertainty of renewable energy output, and the optimal scheduling model is established. The simulation results show that the model can effectively reduce the comprehensive operation cost and has significant economic and social value.