含光热电站的热电联供型微网储热容量双层优化配置

含可再生能源的微网已成为能源领域重要的发展趋势，在此背景下，针对热电联产微网中储能优化配置的不足，构建了含有光热电站的热电联供型微网储热容量双层优化配置模型。上层模型以极小化光热电站日投资成本和热电联产微网日运行成本为优化目标，下层以极小化热电联产微网日运行成本为优化目标。利用Karush-Kuhn-Tucker最优性条件将双层模型转化为单层模型。算例证明了基于光热电站的储热系统提升了微网的经济性以及微网消纳可再生能源的能力，并分析了光热电站的储热容量和储热成本对热电联产微网投资成本和运行成本的影响，同时验证了所提双层规划模型的有效性。

Bi-level optimal capacity configuration of thermal energy storage for combined heat and power microgrid with concentrating solar power plant

Microgrid with renewable energy has become an important development trend in the field of energy. Under such circumstances, to solve the shortage of optimal configuration of energy storage in the combined heat and power microgrid, the bi-level optimal capacity configuration model of thermal energy storage for the combined heat and power microgrid with concentrating solar power plant was developed. The optimization objective of the upper layer was to minimize the daily investment cost of the concentrating solar power plant and the daily operation cost of the combined heat and power microgrid, The lower layer was to minimize the daily operation cost of the combined heat and power microgrid. The Karush-Kuhn-Tucker optimality condition was used to transform the bi-level model into a single-level model. The simulation proves that the thermal energy storage system based on the concentrating solar power plant improves the economy of microgrid and the capacity of the microgrid to absorb renewable energy. The influence of the capacity and cost of thermal energy storage of the concentrating solar power plant on the investment and operating cost of the combined heat and power microgrid is analyzed, and the effectiveness of the proposed bi-level programming model is verified.