引用本文:王燕舞,崔世常,肖江文,等.社区产消者能量分享研究综述[J].控制与决策,2020,35(10):2305-2318
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社区产消者能量分享研究综述
王燕舞1,2,崔世常1,2, 肖江文1,2, 施阳3
(1. 华中科技大学人工智能与自动化学院,武汉430074;2. 华中科技大学图像信息处理与智能控制教育部重点实验室,武汉430074;3. 维多利亚大学机械工程系,维多利亚市V8W 3P6)
摘要:
随着可再生能源和智能电网技术的发展,能源产消者作为一类新型终端用户,已在能源优化与管理方面表现出更为主动灵活的作用,对提高社区能源效率、提升能源经济性和改善本地配电网稳定性具有重要影响.首先,总结了常见的社区能源产消者类型及其特点,指出其在智能电网需求侧实现能源优化的灵活性和潜在价值;其次,剖析了社区能量分享的典型模式,归纳了各自的基本特征、优势与局限性;然后,在此基础上探讨了社区产消者能量分享涉及的能源数据预测方法、博弈问题均衡分析及分布式优化算法;最后,对社区产消者能量分享的前瞻性难点问题进行了展望,以期为相关研究提供参考.
关键词:  能源产消者  能量分享  模式设计  博弈  优化  预测
DOI:10.13195/j.kzyjc.2020.0343
分类号:TP273
基金项目:国家电网科技项目(5700-201999495A-0-0-00).
A review on energy sharing for community energy prosumers
WANG Yan-wu1,2,CUI Shi-chang1,2,XIAO Jiang-wen1,2,SHI Yang3
(1. School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan430074,China;2. Key Laboratory of Image Processing and Intelligent Control of Ministry of Education,Huazhong University of Science and Technology,Wuhan430074,China;3. Department of Mechanical Engineering,University of Victoria,VictoriaV8W3P6,Canada)
Abstract:
With the development of renewable energy and smart grids techniques, energy prosumers, a new class of end consumers, behave more actively and flexibly in energy optimization and management. They have great influence on promoting the community energy efficiency, increasing the energy economics, and improving the stability of local distribution network. In this review, several common types of energy prosumers are introduced firstly along with their characteristics, and their flexibilities and potential values to energy optimization on demand side in smart grids are evaluated. Typical frameworks of community energy sharing are reviewed and their basic features are summarized, along with their advantages and limitations. Based on the analysis, certain closely related problems in energy sharing are discussed, including energy data prediction, equilibrium analysis for games, and distributed optimization. Finally, challenges in energy sharing problems are concluded to throw some light on the future research.
Key words:  energy prosumer  energy sharing  model design  game  optimization  prediction

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