李金航, 佟曦, 陈衡, 潘佩媛, 徐钢, 刘文毅. 含多类型储能的综合能源系统低碳经济运行双层优化方法研究[J]. 动力工程学报, 2024, 44(3): 498-508. DOI: 10.19805/j.cnki.jcspe.2024.230607
引用本文: 李金航, 佟曦, 陈衡, 潘佩媛, 徐钢, 刘文毅. 含多类型储能的综合能源系统低碳经济运行双层优化方法研究[J]. 动力工程学报, 2024, 44(3): 498-508. DOI: 10.19805/j.cnki.jcspe.2024.230607
LI Jinhang, TONG Xi, CHEN Heng, PAN Peiyuan, XU Gang, LIU Wenyi. Research on Two-layer Optimization Method for Low-carbon and Economic Operation of Integrated Energy System with Multiple Types of Energy Storage[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 498-508. DOI: 10.19805/j.cnki.jcspe.2024.230607
Citation: LI Jinhang, TONG Xi, CHEN Heng, PAN Peiyuan, XU Gang, LIU Wenyi. Research on Two-layer Optimization Method for Low-carbon and Economic Operation of Integrated Energy System with Multiple Types of Energy Storage[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 498-508. DOI: 10.19805/j.cnki.jcspe.2024.230607

含多类型储能的综合能源系统低碳经济运行双层优化方法研究

Research on Two-layer Optimization Method for Low-carbon and Economic Operation of Integrated Energy System with Multiple Types of Energy Storage

  • 摘要: 针对含多类型储能的综合能源系统(IES)协同低碳优化调度问题,提出构建一种多类型储能-综合能源系统(MTES-IES)低碳经济的双层模型,并通过构建氢能枢纽,充分利用氢气转化过程中损失的热能,实现能源梯级利用,提高了整个系统的能源利用。在双层优化模型中,上层以MTES经济性最优化为目标,下层实现IES的最优低碳经济运行,采用Karush-Kuhn-Tucher(KKT)条件将下层模型转化为上层模型的约束条件,采用大M法将问题进行线性化处理。通过3个不同场景仿真结果分析表明,提出的MTES-IES双层模型,通过协调优化不同子系统的运行调度策略,能够降低系统运行成本并实现系统整体低碳运行。

     

    Abstract: In order to solve the problem of collaborative low-carbon optimal scheduling of integrated energy system(IES) with multiple types of energy storage(MTES), a two-layer model of low-carbon economy of multiple types of energy storage-integrated energy system(MTES-IES) was developed. Moreover, by building the hydrogen energy hub to make full use of the heat energy lost in the process of hydrogen conversion, and the energy utilization efficiency of the whole system was increased by cascade utilization of energy. In the two-layer optimization model, the upper layer aims at the economic optimization of MTES system, and the lower layer realizes the optimal low-carbon economic operation of IES. The Karush-Kuhn-Tucher(KKT) condition was used to transform the lower model into the constraints of the upper model, and the large M method was used to linearize the problem. Three different scenarios were simulated and analyzed. Results show that the proposed MTES-IES two-layer model can reduce the operating cost of the system and realize the overall low-carbon operation of the system by coordinating and optimizing the operation and scheduling strategies of different subsystems.

     

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