Abstract:

Integrated with the actual situation of power grid and the growth of new energy, a multi-objective model for optimal scheduling of the integrated energy system(IES) is established based on the analysis of the energy-flow relationship of the IES and taking into account the priority of energy utilization and the load demand response in terms of the mismatch between the distributed energy sources and the loads, the net benefit of the unit cost of the IES, and the load response degree. Combined with the equipment and the environmental benefits system, a priority constraint for energy utilization has been established for the IES that prioritizes the consumption of new energy, with electricity as the main source and natural gas as a supplementary source. According to the characteristics of the constructed model, an improved particle swarm algorithm with global and local collaborative strategies is proposed to solve the model optimally, which accelerates the convergence and avoids falling into the local optimum at the same time. The simulation results show that the model can balance the relationship between the consumption of distributed power supply, the load responsiveness and the operating efficiency of the system.

Key words: integrated energy system, renewable energy, demand response, optimized operation, particle swarm