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Consensus-based distributed scheduling for cooperative operation of distributed energy resources and storage devices in smart grids

机译:基于共识的分布式调度,用于智能电网中分布式能源和存储设备的协同运行

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摘要

Optimal dispatch of storage devices is crucial for the economic operation of smart grids with distributed energy resources. Through appropriate scheduling, storage devices can store the energy when the renewable production is high or electricity price is low, and support the demand when electricity is expensive. Conventionally, this scheduling requires a control centre to gather information from the entire system and find the optimal schedule in the required horizon for the controllable devices. This study proposes a fully distributed scheduling methodology based on discrete-time optimal control, primal-dual gradient descent, and consensus networks. In the proposed approach, the requirement for the control centre is eliminated and the optimal schedule for all the devices is found solely through iterative coordination of each device with its neighbours. The application of the algorithm is demonstrated in a 5-bus system and its convergence to the global optimum is validated through Monte Carlo simulations. Further, it is shown that the algorithm is robust against communication link failures provided that the communications topology remains connected or reconnects after being disconnected.
机译:存储设备的优化调度对于具有分布式能源的智能电网的经济运营至关重要。通过适当的调度,存储设备可以在可再生能源产量高或电价低时存储能量,并在电价昂贵时满足需求。按照惯例,这种调度需要控制中心从整个系统中收集信息,并在可控设备的所需范围内找到最佳调度。这项研究提出了一种基于离散时间最优控制,原始对偶梯度下降和共识网络的完全分布式调度方法。在提出的方法中,消除了对控制中心的要求,仅通过每个设备与其邻居的迭代协调就可以找到所有设备的最佳调度。该算法在5总线系统中的应用得到了证明,并通过蒙特卡洛仿真验证了其收敛于全局最优值。此外,示出了该算法对于通信链路故障是鲁棒的,只要该通信拓扑在断开连接后保持连接或重新连接即可。

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