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Distributed algorithm for dynamic economic power dispatch with energy storage in smart grids

机译:智能电网中储能动态经济动力调度的分布式算法

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The dynamic economic dispatch problem with energy storage in a smart grid scenario is studied, which aims at minimising the aggregate generation costs over multiple periods on condition that the time-varying demand is met, while physical constraints on generation and storage as well as system spinning reserve requirement are satisfied. In our model, energy storage devices are incorporated for not only inter-temporal energy arbitrage to reduce total generation cost, but also providing spinning reserve to share generators' burden. To solve this problem, we assume that the communication networks are strongly connected directed graphs and propose a fully distributed algorithm based on the `consensus-like' iterative algorithm and the alternating direction method of multipliers. Our algorithm is distributed in the sense that no leader or master nodes are needed, while all the nodes conduct local computation and communicate merely with their neighbours. Numerical simulation is included to show the effectiveness of the proposed algorithm.
机译:研究了智能电网情景下储能的动态经济调度问题,其目的是在满足随时间变化的需求的同时,在多个时期内将总发电成本最小化,同时对发电和存储以及系统旋转进行物理约束满足储备要求。在我们的模型中,并入了储能设备,不仅可以进行跨时能源套利,以降低总发电成本,而且还提供旋转储备,以分担发电机的负担。为了解决这个问题,我们假设通信网络是强连通的有向图,并基于“类似共识”的迭代算法和乘法器的交替方向方法,提出了一种完全分布式的算法。我们的算法是在不需要领导者或主节点的情况下分布的,而所有节点都进行本地计算并仅与邻居进行通信。数值模拟包括在内,以证明所提算法的有效性。

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