Multi-scenario operation optimization model for park integrated energy system based on multi-energy demand response

Multi-energy demand response is an important means to achieve peak load shifting, and improve energy efficiency. It plays a significant role in promoting the sustainable development of park integrated energy system. In this context, we first constructed a mull-energy demand response model from the perspective of an elastic matrix. Second, we established performance evaluation indexes of the park integrated energy system based on economic and environmental factors, to match energy supply and demand. We then constructed an optimization model considering the unit output, energy balance, and other constraints to achieve optimal net profits, energy utilization efficiency, and degree of matching between load and output. Finally, we established multiple scenarios and used the multi-objective particle swarm optimization algorithm combined with fuzzy set theory for an example analysis. The results show that after redesigning the cooling, heating, and electricity prices, the multi-energy demand response model transfers the user load demand, without changing the total energy consumption. Compared with the traditional scenario, the energy utilization efficiency and net system profit increased by 2.30 % and $2,652.775, respectively, while the user expenditure decreased by $7,663.887, following implementation of the demand response model. This demonstrates win-win situations for the economy/environment and for the system/users.