区域综合能源系统是未来能源消费方式的重要发展方向，对提升能源的综合用能能效和可再生能源的消纳将发挥越来越重要的作用。本项目从系统运行基础信息感知、混合时间尺度动态协同优化调度模型及求解算法三个方面研究区域综合能源系统高效运行的关键问题，主要研究内容包括：1）构建系统运行基础信息感知框架，挖掘系统多时间互补特性；2）从日前调度、日内动态协调优化、实时反馈校正三个时间尺度，构建区域综合能源系统混合时间尺度动态协同优化调度模型，提出日前自适应鲁棒优化模型、日内非合作博弈的分布式模型预测控制动态协同优化模型及基于增量学习多能源协同实时反馈校正策略；3）提出该模型的重构与简化方法，在鲁棒优化及博弈论的框架下结合数学规划和智能优化技术，建立混合时间尺度动态协调优化调度模型的求解方法。本项目研究成果将为区域综合能源系统的高效、清洁运行提供重要的理论基础和技术支持。

Integrated community energy system (ICES) is an important developing direction for future energy utilization，which is becoming more and more important in improving the energy efficiency and accommodating renewable energy. The research is focused on the key issues of the ICES efficient operation from three aspects including basic information awareness, hybrid-time scale dynamic collaborative operation dispatching model, and solving algorithm and the main research includes: 1) Build an awareness framework for the operation and explore the multi-time complementary characteristics of the ICES, 2) Build a hybrid-time scale dynamic collaborative operation dispatching model that includes the day-ahead optimal scheduling, the intra-day dynamic collaborative optimal dispatching, and the real-time feedback correction，and propose a day-ahead adaptive robust optimization model, an intra-day distributed model predictive control based on non-cooperative game, and a real-time feedback correction strategy based on incremental learning and multi-energy cooperation; 3) Study the reconfiguration and simplification strategy of this dispatching model, and propose the solution method based on robust optimization and game theory, mathematical programming, and intelligent optimization. The research achievements of this project will provide a theoretical foundation and technical guidance for the efficient and clean operation of the ICES.