Multi-Energy Synergistic Optimization of Regional Energy Internet Considering Demand Side Responses

摘要

Regional energy internet is the key to achieving multi-energy synergistic optimization and efficient use of energy at the regional level. This paper focuses on the multi-energy synergistic optimization of regional energy internet and constructs a model based on demand side responses, considering total system operating costs, energy saving rate and emission reduction rate. A PSO-EO algorithm is proposed to solve the multi-objective and nonlinear optimization model [1-2]. The proposed model and algorithm are applied to an actual regional energy internet in China. Result shows that the proposed model and algorithm can optimize the operation of the system (with a reduction in the total system cost of 21.9%, the energy saving rate of 15.4% and the emission reduction rate of 19.1%) and have remarkable social and economic benefits.