首页 | 本学科首页   官方微博 | 高级检索  
     

考虑功率互济的多微网集群运行优化与分析
引用本文:耿琪,胡炎,何建宗,周永言,赵伟. 考虑功率互济的多微网集群运行优化与分析[J]. 电力建设, 2019, 40(12): 86-95. DOI: 10.3969/j.issn.1000-7229.2019.12.011
作者姓名:耿琪  胡炎  何建宗  周永言  赵伟
作者单位:1.上海交通大学电子信息与电气工程学院,上海市 200240;2.广东电网有限责任公司东莞供电局,广东省东莞市 523000;3.广东电网有限责任公司电力科学研究院,广州市 510080
基金项目:国家重点研发计划项目(2017YFB0903202)
摘    要:微网(microgrid,MG)是智能电网的重要组成部分,其可以接入多种分布式可再生能源,为本地负荷提供服务。然而,可再生能源发电的间歇性限制微网可靠运行。安装储能和柴油发电机可以解决可再生能源发电的间歇性问题,多微网功率互济也是保证微网可靠运行的有效措施。文章首先假定微网的可再生能源发电和负荷是可以提前确定的,讨论了双微网系统的离线运行优化问题,在此基础上,研究了双微网功率互济和储能对微网购电成本的影响。然后,在离线优化运行方案的启发下,提出了双微网系统的在线运行优化策略,在线策略不需要任何预测信息,更易在实际的智能电网系统中实现。仿真结果表明,在线策略可以获得接近离线算法最优解的次优解。最后,基于双微网系统的在线运行优化策略,提出了适用于多微网运行优化的在线运行优化策略。

关 键 词:微网(MG)  功率互济  运行优化  集群  

Optimal Clustering Operation and Analysis of Multi-Microgrid Considering Power Sharing
GENG Qi,HU Yan,HE Jianzong,ZHOU Yongyan,ZHAO Wei. Optimal Clustering Operation and Analysis of Multi-Microgrid Considering Power Sharing[J]. Electric Power Construction, 2019, 40(12): 86-95. DOI: 10.3969/j.issn.1000-7229.2019.12.011
Authors:GENG Qi  HU Yan  HE Jianzong  ZHOU Yongyan  ZHAO Wei
Affiliation:1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2. Dongguan Power Supply Bureau of Guangdong Power Grid Co., Ltd., Dongguan 523000, Guangdong Province, China;3. Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou 510080, China
Abstract:Microgrids are important parts of smart grids. They can integrate a variety of distributed renewable energy sources to satisfy the local loads. However, the intermittence of renewable energy sources limits the reliable operation of microgrids. Installation of energy storage systems and diesel generators can solve the intermittent problem of renewable energy sources, and the power sharing of microgrids is also an effective measure to ensure the reliable operation of microgrids. This paper firstly presents an offline algorithm that can produce optimal operation solutions of dual-microgrid system, assuming that the information of renewable energy sources and loads is known in advance. On this basis, the influence of power sharing and energy storage system on power purchasing cost of microgrids is studied. Then this paper develops online strategies that do not require any future information and are easier to be implemented in the actual smart grids. The simulation results show that the online strategies can obtain suboptimal solutions close to the optimal solutions of the offline algorithm. Finally, an online clustering strategy for multi-microgrid system is proposed on the basis of the online strategy of dual-microgrid system.
Keywords:microgrid(MG)  power sharing  optimal operation  clustering  
本文献已被 CNKI 等数据库收录!
点击此处可从《电力建设》浏览原始摘要信息
点击此处可从《电力建设》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号