A System-user Bilateral Collaborative Operation Optimization in Integrated Multi-energy System

Various forms of energy access to integrated multi-energy system (IMES) poses higher requirements of operation optimization. This paper proposes the collaborative operation optimization model of the system-user bilateral cooperation in the IMES. The comprehensive cost is reduced mutually by system devices outputs adjustment along with the user side participation in demand response regulation. In system side, on the basis of optimizing the devices output, this paper adjusts the allocation factor of energy transferring devices to improve matching level of multi-energy demand in system. In user side, this paper introduces alternative energy in demand response of IMES to improve response capacity of user side. Finally, particle swarm algorithm is used to solve the model, and case study testifies that system-user bilateral coordinated optimization realizes high efficiency operation of internal devices, effectively reduces operation cost, and increases income.