| 引用本文: | 甘霖,陈瑜玮,刘育权,熊文,汤磊,潘昭光,郭庆来.含可再生能源的微网冷-热-电多能流协同优化与案例分析[J].电力自动化设备,2017,37(6): |
| GAN Lin,CHEN Yuwei,LIU Yuquan,XIONG Wen,TANG Lei,PAN Zhaoguang,GUO Qinglai.Coordinative optimization of multiple energy flows for microgrid with renewable energy resources and case study[J].Electric Power Automation Equipment,2017,37(6): |
|
| 摘要: |
| 能源互联网概念被提出且得到了飞速发展，含可再生能源和高能源利用率的冷热电联供系统的微网也受到极大的关注。建立了一个含有可再生能源以及冷、热、电多种能源形式的微网优化运行模型，以整体运营成本最小为目标函数，考虑不同能量形式之间的转化效率以及多种类型发电与储能的约束条件，实现多能流综合利用与协同优化，满足最终用户的多类型负荷需求。面向某实际园区，在算例中对实际案例进行分析。算例结果表明所建立的模型能有效优化冷热电能源分配，降低微网成本，利用多种能源形式的相互协同可明显提高可再生能源的消纳。 |
| 关键词: 微网 多能流 协同优划 冷热电联供 可再生能源 |
| DOI：10.16081/j.issn.1006-6047.2017.06.036 |
| 分类号:TM761 |
| 基金项目:国家重点研发计划资助项目(2016YFB0901300)；国家自然科学基金资助项目(51537006) |
|
| Coordinative optimization of multiple energy flows for microgrid with renewable energy resources and case study |
|
GAN Lin1, CHEN Yuwei2, LIU Yuquan1, XIONG Wen1, TANG Lei3, PAN Zhaoguang2, GUO Qinglai2
|
|
1.Guangzhou Power Supply Co. Ltd.,Guangzhou 510620, China;2.Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;3.Beijing Qingda Gaoke System Control Company, Beijing 102208, China
|
| Abstract: |
| Along with the appearance and rapid development of energy internet, the microgrid with CCHP (Combined Cooling, Heating and Power) system becomes more noticed, which contains multiple renewable energy resources and has high energy utilization rate. An optimal operation model of microgrid with CCHP system is established, which takes the minimum total operational cost as its objective, considers the conversion efficiency among different energy forms and the constraints of different types of power generation and energy storage, and realizes the comprehensive utilization and cooperative optimization of multiple energy flows to satisfy users’ demands for different load types. The actual cases of a real district are analyzed and results show that, the established model effectively optimizes the dispatch of heating, cooling and electric energy sources, reduces the operational costs of microgrid and enhances the accommodation of renewable energy resources by the coordination among different energy forms. |
| Key words: microgrids multiple energy flows coordinative optimization CCHP renewable energy resources |
