多能流分布式综合能源系统容量匹配优化与调度研究

Component Sizing and Optimal Scheduling for Distributed Multi-Energy System

综合能源系统可以实现电、热、气等多种能源形式的互补供能和满足负荷需求的多能调度,从而促进可再生能源消纳能力,提高能源综合利用率。针对含电、热、气并相互耦合的分布式多能流综合能源系统的设备容量匹配优化问题,建立以系统各能量成本最低为目标,以能量平衡和设备工作特性为约束的优化模型,采用一种区域收缩算法加速寻优收敛速度。以西安市某厂房办公楼为例,采用所建模型和所提算法得到综合能源系统最小能量成本下的最优容量匹配和调度策略。结果表明,通过系统的容量匹配优化可以大大减少电、热、气的单位价格,降低多级储热器、可逆固体氧化物燃料电池的设备成本,提高太阳能电池的利用率,可有效提高系统经济性。

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.