This article proposes a distributed multi-period multi-energy operational model for the multi-carrier energy system. In this model, energy hubs function as distributed decision-makers and feature the synergistic interactions of generation, delivery, and consumption of coupled electrical, heating, and natural gas energy networks. The multi-period multi-energy scheduling is a challenging optimization problem due to its strong couplings and inherent nonconvexities within the multi-energy networks. The original problem is thus reformulated as a mixed integer second-order cone programming (MISOCP) and subsequently solved with a sequential second-order cone programming (SOCP) approach to guarantee a satisfactory convergence performance. Furthermore, a fully-distributed consensus-based alternating direction method of multipliers (ADMM) approach with only neighboring information exchange required is developed to optimize the multi-energy flows while considering the local energy-autonomy of heterogeneous energy hubs. The proposed methodology is performed and benchmarked on a four-hub urban multi-energy system over a 24 hourly scheduling periods. Simulation results demonstrated the superiority of the proposed scheme in system operational economy and renewable energy utilization, and also verify the effectiveness of the proposed distributed approach.

中文翻译：

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电力，供热和天然气网络的分布式多能量运行

本文提出了一种用于多载波能量系统的分布式多周期多能量运行模型。在此模型中，能源枢纽充当分布式决策者，并具有耦合的电能，热力和天然气能源网络的发电，输电和能源消耗的协同相互作用。多周期多能量调度由于其在多能量网络中的强耦合性和固有的不凸性而成为具有挑战性的优化问题。因此，原始问题被重新表述为混合整数二阶锥规划（MISOCP），随后通过顺序二阶锥规划（SOCP）方法解决，以确保令人满意的收敛性能。此外，考虑到异构能源枢纽的本地能源自主性，开发了一种仅需要相邻信息交换的完全分布式的基于共识的交替乘数交替方向方法（ADMM）方法，以优化多能量流。所提出的方法在24小时的计划周期内在四枢纽城市多能源系统上执行和基准测试。仿真结果证明了该方案在系统运行经济性和可再生能源利用方面的优越性，并验证了该分布式方法的有效性。所提出的方法在24小时的计划周期内在四枢纽城市多能源系统上执行和基准测试。仿真结果证明了该方案在系统运行经济性和可再生能源利用方面的优越性，并验证了该分布式方法的有效性。所提出的方法在24小时的计划周期内在四枢纽城市多能源系统上执行和基准测试。仿真结果证明了该方案在系统运行经济性和可再生能源利用方面的优越性，并验证了该分布式方法的有效性。