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| 含复合储能的冷热电联供系统多目标运行优化研究 | |
| 引用本文： | 赵永杰,林仕立,涂小琳,宋文吉,冯自平. 含复合储能的冷热电联供系统多目标运行优化研究[J]. 新能源进展, 2019, 7(4): 325-332. DOI: 10.3969/j.issn.2095-560X.2019.04.005 |
| 作者姓名： | 赵永杰 林仕立 涂小琳 宋文吉 冯自平 |
| 作者单位： | 1. 中国科学技术大学 热科学和能源工程系,合肥 230026; 2. 中国科学院广州能源研究所,广州 510640; 3. 中国科学院可再生能源重点实验室,广州 510640; 4. 广东省新能源和可再生能源研究开发与应用重点实验室,广州 510640 |
| 基金项目： | 国家重点研发计划项目（2016YFB0901405）; 中国科学院科技服务网络计划（STS计划）区域重点项目（KFJ-STS-QYZX-034） |
| 摘 要： | 冷热电联供（combined cooling, heating and power, CCHP）系统是分布式能源系统发展的主流趋势,针对CCHP系统的能量调度问题,提出了储电、储热相结合的复合储能技术;为实现CCHP系统的运行优化控制,建立了CCHP系统拓扑架构、系统模型、多目标函数及约束条件,采用线性加权和法将多目标函数转化为单目标函数,利用遗传算法进行优化求解,并与不含复合储能的CCHP系统进行对比分析。结果表明：将复合储能引入CCHP系统,能有效降低系统运行成本和一次能源消耗量,提高系统节能率和削峰填谷能力,为CCHP系统的优化运行策略提供了较好的参考方法。 |
| 关 键 词： | 微电网 冷热电联供 多目标优化 复合储能 遗传算法 |
| 收稿时间： | 2018-10-30 |
Study on Multi-Objective Optimization of Microgrid with Hybrid Energy Storage System |
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| ZHAO Yong-jie,LIN Shi-li,TU Xiao-Lin,SONG Wen-ji,FENG Zi-ping. Study on Multi-Objective Optimization of Microgrid with Hybrid Energy Storage System[J]. Advances in New and Renewable Energy, 2019, 7(4): 325-332. DOI: 10.3969/j.issn.2095-560X.2019.04.005 | |
| Authors: | ZHAO Yong-jie LIN Shi-li TU Xiao-Lin SONG Wen-ji FENG Zi-ping |
| Affiliation: | 1. Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230026, China; 2. Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China; 3. CAS Key Laboratory of Renewable Energy, Guangzhou 510640, China; 4. Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou 510640, China |
| Abstract: | Microgrid with combined cooling, heating and power (CCHP) system is a mainstream trend in the development of distributed energy system. For the energy dispatch of CCHP system, hybrid energy storage system with the combination of electricity storage and heat storage was put forward to realize the operation optimization control of the CCHP system. The CCHP system topology structure, system model, the multiple objective functions and constraint conditions were established. The multiple objective functions can be converted to single objective function through linear weighting factor method and solved by genetic algorithm, and the results were compared with the multi-objective optimal dispatch of CCHP microgrid without hybrid energy storage system. Simulation results indicated that hybrid energy storage system can decrease the system operation cost, save primary energy, improve energy utilization rate and the capability of peak-load shifting and provide a better reference method for the optimization operation strategy of the CCHP system. |
| Keywords: | microgrid CCHP multi-objective optimization hybrid energy storage genetic algorithm |
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