【摘要】 随着大量分布式电源、多能负荷等接入综合能源系统，源侧与荷侧的不确定性给综合能源系统规划与运行带来了挑战。如何针对这些不确定因子搭建相应的模型，形成安全、经济、高效的运行方案，是目前亟需解决的问题。从不确定性问题入手，系统阐述了分布鲁棒优化理论在综合能源系统中的应用，总结了其典型的应用场景，并与电力系统进行对比。其中，以基于矩信息和基于概率距离的分布鲁棒优化模型为例，从模型、求解方法以及应用等方面分析了各自的优缺点。最后，结合当前综合能源系统的发展趋势，针对不确定性问题提出了几个待研究方向。更多还原

【Abstract】 With a large number of distributed power sources and multi-energy loads connected to the energy system, the uncertainty of source side and load side has brought challenges to the planning and operation of integrated energy system. How to establish a corresponding model for these uncertain factors and form a reliable, economic, and efficient operation scheme,is an urgent problem to be solved at present. Starting with the problem of uncertainty, the application of distributionally robust optimization theory in the integrated energy system and its typical application scenarios are systematically expounded, and compared with the power system. Taking the distributionally robust optimization model based on moment information and based on probability distance as examples, their advantages and disadvantages are analyzed from the aspects of model, solution method, and application. Finally, combined with the current development trend of the integrated energy system, several research points are proposed in view of the uncertainty problem.更多还原