深度学习驱动的微网群互动合作与优化运行研究

随着国家对“互联网+”智慧能源的关注和推进，以多源融合与开放互动为主要特征的互联微网群将成为未来能源互联网建设的重要方向，“多方投资、多方参与”的区域能源管理公司或是售电公司统一协调区域内多微网合作互动，并与电网协同运行将会是微网群重要发展模式之一。但基于模型优化的多微网合作互动博弈和协同优化问题求解存在难以应对不确定性、模型需要简化、信息需要完全透明等障碍。本项目即是在此背景下，提出基于深度学习驱动的微网群合作互动机制和框架的新思路，解决微网群互动响应特征的深度学习建模、合作互动Nash均衡的强化学习求解、深度学习与模型结合的协同运行时序决策等一系列基础问题。结合已有的基于MATLAB/GAMS微网群互动仿真平台，建立基于深度学习驱动的微网群互动仿真和决策优化平台，实现不同方案的交互对比分析与测试，为“多方投资、多方参与”的微网群合理、有序地规模化发展及互动提供理论基础和技术支撑。

With the increasing national attention and promotion on “Internet +” Intelligent Energy, interconnected multi-microgrid with multi-energy incorporation and open interaction constitutes a promising direction for future energy internet construction. The coordination of regional multi-microgrid cooperation and interaction with the utility grid by regional energy management companies or retail companies with multiple investments and participants is one of the most important development modes for microgrid cluster. However, the conventional model-based multi-microgrid cooperative gaming and coordinated optimization problem is afflicted by parameter uncertainty, model complexity, and information incompleteness. It’s due to the above considerations that this project proposes a deep-learning based cooperative interaction framework for microgrid cluster within the grand architecture of energy internet, which involves the modeling of interactive response among microgrid cluster, the computation of Nash Equilibrium, as well as sequential decision-making optimization of coordinated operation by applying deep-learning technique. Further endeavor would be devoted to the establishment of a deep-learning based multi-microgird interactive simulation and decision-making optimization platform with the combination of the existing hybrid MATLAB/GAMS optimization platform, which will realize the interactive comparison and test analysis of different decision-making schemes, and provide a convincing theoretical and technical foundation for a rationalized, orderly, and large-scale development of microgrid cluster with multiple investments and multiple participants within the framework of energy internet in near future.