To further promote the efficient use of energy storage and the local consumption of renewable energy in a multi-integrated energy system (MIES), a MIES model is developed based on the operational characteristics and profitability mechanism of a shared energy storage station (SESS), considering concentrating solar power (CSP), integrated demand response, and renewable energy output uncertainty. We propose a corresponding MIES model based on co-operative game theory and the CSP and an optimal allocation method for MIES shared energy storage. The model considers the maximum operating benefit of the SESS as the upper objective function and the minimum operating cost of the MIES as the lower objective function. First, the Karush–Kuhn–Tucker conditions of the lower-layer model are transformed into constraints of the upper-layer model, and the Big-M method is used to linearize the nonlinear problem and convert the two-layer nonlinear model into a single-layer linear model. Second, based on the Nash negotiation theory, the benefits of each IES in the MIES are allocated. Finally, the fuzzy chance constraints are used to relax the power balance constraints, and the trapezoidal fuzzy numbers are transformed into a deterministic equivalence class to assess the impact of renewable energy output uncertainty on system operation. The validity and rationality of the proposed two-layer model are verified through simulation, and the results demonstrate that the proposed shared storage capacity leasing model can effectively reduce the total operation cost, increase the profitability of the shared storage operator, and increase the utilization rate of the SESS.

中文翻译：

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基于MIES的合作博弈和CSP共享储能优化分配方法

为了进一步促进多元综合能源系统（MIES）中储能的高效利用和可再生能源的就地消纳，根据共享储能站（SESS）的运行特点和盈利机制，开发了MIES模型，考虑聚光太阳能发电 (CSP)、综合需求响应和可再生能源输出的不确定性。我们提出了相应的基于合作博弈论和CSP的MIES模型以及MIES共享储能的优化分配方法。该模型将SESS 的最大运营效益作为上目标函数，将MIES 的最小运营成本作为下目标函数。首先，将下层模型的Karush-Kuhn-Tucker条件转化为上层模型的约束，并利用Big-M方法对非线性问题进行线性化，将两层非线性模型转化为单层非线性模型。层线性模型。其次，基于纳什谈判理论，对MIES中各个IES的利益进行分配。最后，利用模糊机会约束放宽功率平衡约束，将梯形模糊数转化为确定性等价类，评估可再生能源出力不确定性对系统运行的影响。通过仿真验证了所提出的两层模型的有效性和合理性，结果表明所提出的共享存储容量租赁模型可以有效降低总运营成本，提高共享存储运营商的盈利能力，提高利用率的 SESS。