基于大数据的分布式多能源系统最优运行策略研究

Research on optimal operation strategy of distributed multi⁃energy system based on big data

一次能源的消耗给生态环境造成了严重的污染,也给分布式多能源系统带来了新的发展机遇。针对这一问题,文中开展了基于大数据的分布式多能源系统最优运行策略研究。通过分析分布式多能源系统的功能结构,在对设备工况特性加以研究的基础上采用大数据样本,以总运行成本最小为目标建立融合天然气、光伏发电、抽水蓄能及热泵机组的分布式多能源系统模型。同时充分考虑了非可再生能源利用、可再生能源消纳与能效转换等因素,提出了一种多场景综合能效评估方法。算例分析结果表明,该方法优先满足了电负荷与冷热负荷,且可再生能源消耗量低至4.52 MW·h,综合能效利用率则高达98.2%。

The consumption of primary energy causes great pollution to the ecological environment and brings new development opportunities to the distributed multi energy system.To solve this problem,this paper carried out the research on the optimal operation strategy of distributed multi-energy system based on big data,analyzed the functional structure of distributed multi-energy system,and established a distributed multi-energy system model considering natural gas,photovoltaic power generation,pumped storage and heat pump units with the minimum total operation cost by using big data samples on the basis of fully considering the operating characteristics of equipment.Taking full account of non-renewable energy utilization,renewable energy consumption,energy efficiency conversion and other factors,a multi scenario comprehensive energy efficiency assessment method is proposed.The example analysis results show that this method gives priority to the electric load and cooling and heating load,the renewable energy consumption is as low as 4.52 MW·h,and the comprehensive energy efficiency utilization rate is as high as 98.2%.