近年来分布式综合能源站作为助力双碳目标实现的一条有效路径得到广泛应用,由于其在负荷端就近利用多种可再生能源,集产能、储能、供能于一体,应进行供需双侧的精准分析和优化调度以保证实际运行的节能效果。该文选取泰州市某园区级综合能源站为研究对象,根据用能建筑的全年负荷预测结果提出系统配置方案,然后基于TRNSYS仿真平台搭建系统模型并对多台机组变频控制策略进行分析,同时采用TRNSYS与GenOpt相结合的方法对冷热电储耦合系统能效影响因素进行研究,调用Hooke-Jeeves算法对水泵和光伏组件主要参数进行同步优化。研究结果表明：在相同初投资情况下,优化后的系统年能耗降低3%,每年可节省运行费用178490元。
Abstract
In recent years, distributed integrated energy station has been widely used as an effective way to help China achieve the ‘dual carbon’ goal. As a complex system that integrates energy production, storage and supply, integrated energy station utilizes a variety of renewable energy sources close to the load side. Accurate analysis and optimal scheduling on both sides of supply and demand should be carried out to ensure energy saving effect in actual operation. This article takes an integrated energy station at the park level in Taizhou as the research object, and puts forward a system configuration scheme based on the results of the annual load prediction of the buildings. Then, the system model is built based on TRNSYS simulation platform, and the frequency conversion control strategies of multiple units are analyzed. The influence factors of the energy efficiency of the cooling, heating, electricity and storage multi-energy coupling system are studied by combining TRNSYS with GenOpt. Hooke-Jeeves algorithm is used to synchronously optimize the main parameters of the water pump and photovoltaic panel. The results show that under the same initial investment, the annual energy consumption of the optimized system is reduced by 3%, and the operating cost of 178490 yuan can be saved annually.
关键词
综合能源站 /
光伏组件 /
系统仿真 /
优化策略 /
TRNSYS
Key words
integrated energy station /
PV modules /
system simulation /
optimization strategy /
TRNSYS
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基金
国网江苏电力设计咨询有限公司科技项目,综合能源站冷-热-电-储系统优化设计及运行技术研究（JE202102）
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