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


Optimal dispatch of storage devices is crucial for the economic operation of sensible grids with distributed energy resources. Through applicable scheduling, storage devices will store the energy when the renewable production is high or electricity price is low, and support the demand when electricity is dear. Conventionally, this scheduling requires a management centre to gather data from the entire system and realize the optimal schedule in the required horizon for the controllable devices. This study proposes a fully distributed scheduling methodology based mostly on discrete-time optimal control, primal-twin gradient descent, and consensus networks. In the proposed approach, the necessity for the control centre is eliminated and therefore 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 an exceedingly 5-bus system and its convergence to the global optimum is validated through Monte Carlo simulations. Additional, it's shown that the algorithm is robust against communication link failures provided that the communications topology remains connected or reconnects after being disconnected.

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