(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)
(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)
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.