Open AccessConsensus‐based distributed scheduling for cooperative operation of distributed energy resources and storage devices in smart grids
Author(s) -
RahbariAsr Navid,
Zhang Yuan,
Chow MoYuen
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.0159
Subject(s) - computer science , distributed computing , schedule , scheduling (production processes) , energy storage , distributed generation , smart grid , economic dispatch , renewable energy , mathematical optimization , electric power system , engineering , electrical engineering , power (physics) , physics , quantum mechanics , mathematics , operating system
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.