Energy flow optimization method for multi-energy system oriented to combined cooling, heating and power

A modeling framework of a multi-energy system with coordinated supply of combined cooling, heating and power (CCHP) using wind and solar energy is established in this paper. An index of loss of power supply probability and loss of heat supply probability is constructed defining a reliability index for the supply of the specific form of energy. Considering and weighing investment cost, primary energy consumption, carbon dioxide emission and the newly defined energy supply reliability index, an optimization model for capacity allocation of multiple energy sources in a multi-energy system using wind, solar, gas and storage is constructed using Particle Swarm Optimization (PSO) algorithm to solve the optimization problem. The proposed method increases renewable energy generation rate, reduces energy storage capacity and improves energy supply reliability. •A cooperative optimization framework for energy flow and capacity of multi-energy system is presented.•The energy flow between energy generation, conversion and storage systems is optimally controlled.•The energy flow is optimized for complementary of electricity, gas and heat in different seasons.•The energy flow is optimized by using mutli-index in cost, emission and energy supply reliability.•Particle swarm optimization algorithm is used to solve energy flow optimization problem of multi-energy system.