Abstract This paper proposes an individual-based distributed parallel (IBDP) method for the operation optimization of integrated energy systems considering heterogeneous structure. The proposed IBDP method utilizes individual-based models (IBMs) to describe integrated energy systems. In this model, three basic modelling units are summarized, from which, a general three-level model of integrated energy systems is inherited. Utilizing IBMs, the high-dimensional integrated energy system model is decoupled into distributed heterogeneous individuals. The individuals are with local information inside to protect their information privacy and independent operation from the environment. Meanwhile, global information, which provides with environmental boundary conditions, can be obtained through individual interactions. To solve the IBMs of integrated energy systems efficiently, an Proximal Jacobian alternating direction multiplier algorithm (Proximal Jacobian ADMM) is adopted to implement the IBDP where the subproblems of individuals run in parallel. To verify the veracity and stability of the proposed method, the IBDP is applied to optimize the operation strategy of integrated energy systems in four different scales, and the results are compared with that obtained by centralized optimization method.

中文翻译：

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考虑异构结构的综合能源系统运行基于个体的分布式并行优化

摘要 本文提出了一种基于个体的分布式并行（IBDP）方法，用于考虑异构结构的综合能源系统的运行优化。提议的 IBDP 方法利用基于个体的模型 (IBM) 来描述集成能源系统。该模型概括了三个基本建模单元，从中继承了综合能源系统的通用三级模型。利用IBMs，将高维综合能源系统模型解耦为分布式异构个体。个人内部具有本地信息，以保护其信息隐私和独立操作不受环境影响。同时，提供环境边界条件的全局信息可以通过个体交互获得。为有效解决综合能源系统的IBMs，采用近端雅可比交替方向乘法器算法（Proximal Jacobian ADMM）来实现个体子问题并行运行的IBDP。为验证所提方法的准确性和稳定性，应用IBDP对4个不同规模的综合能源系统运行策略进行优化，并将结果与​​集中优化方法的结果进行比较。