分布式可再生能源及其微电网的发展对遏制全球气候变化具有重要意义，为了应对可再生能源发电以及用户用能负荷的不稳定性，迫切需要开展混合储能系统的技术创新及其相互作用机理研究。本研究从“源-荷-储-网”的微电网结构出发，充分利用风能、太阳能与生物质能，引入以绝热压缩空气储能系统为核心的混合储能系统，保证“源”与“荷”的稳定性与经济性，集成自动控制技术实现微电网的优化运行。重点研究内容包括：（1）混合储能系统各储能单元的能量损失机理、快速响应机制及其动态耦合作用机理研究，并通过模糊控制方法实现对混合储能系统的高效、低成本运行控制；（2）通过理论与实验研究基于分布式可再生能源与混合储能系统的微电网各单元能量传递与控制机理，揭示“源-荷-储-网”一体化集成的科学本质，掌握微电网全工况动态工作特性。本研究为“零排放”能源利用提供了新途径，为可再生能源的发展及温室气体排放控制提供了理论基础与原理验证平台。

The development of distributed renewable energy based micro-grid is an effective way to curb the climate change. It is a primary need to study the integration innovation and coupling interaction mechanism of hybrid energy storage system in order to deal with the unsteady power generation and customer load. The project covers the micro-grid structure of “source-load-storage-grid”, and it only utilizes renewable energies of wind, solar and bio-mass. The adiabatic compressed air energy storage (ACAES) is taken as the core unit of the hybrid energy storage system to fulfill the steady and economic requirement of the “source” and “load”. The control system will be integrated to enable the micro-grid work automatically and effectively. The main studies include: (1) It is to study the energy loss mechanism, quick response mechanism and their dynamic coupling mechanism of all energy storage units in the hybrid energy storage system, and the fuzzy algorithm will be utilized to ensure the hybrid system work effectively and economically. (2) It is to reveal the energy transfer and control mechanism among all energy units of the micro-grid with distributed renewable energy and hybrid energy storage through theoretical and experimental study. And it is also to reveal the scientific essence for the integration of “source-load-storage-grid”, and to obtain the dynamic working performance of full working conditions. The research will propose a new solution for the “zero emission” energy utilization, and provide fundamental theory and principle verification prototype for the development of renewable energy and greenhouse gas emission control strategy.