多能流分布式综合能源系统容量匹配优化与调度研究

Integrated multi-energy system can supply not only electricity, but also other energy forms, such as heat and gas. Energy dispatch can be implemented within the system according to requirements. Therefore, the integrated multi-energy system can achieve higher renewable energy accommodation and comprehensive energy efficiency. This paper proposed a new component sizing and optimal scheduling method for integrated multi-energy system with energy carriers of electricity, heat and gas. The model took minimum cost of energy as the objective with constraints of energy balance and plant physical operating limitations. A new algorithm, called space converging algorithm, was used to accelerate convergence of computation. A case of an actual industry office building was studied to verify the model and algorithm. Simulation results show that the costs of energy given by the model are much lower than corresponding energy cost in current energy market. The economic benefit of the system can be significantly improved by reducing the costs of multistage heat reservoirs and reversible solid oxide cells. The system economic performance is also improved by increase of utilization of photovoltaics.