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In this paper, we formulate the distributed optimization of multi-building energy systems as a cost minimization problem with spatially and temporally coupled constraints. The problem is divided into subproblems of each building at each time slot via Lagrangian dual decomposition. The strong duality of the primal and dual problem is proved, and distributed algorithms are proposed based on the subgradient...
With the increasing trend in adoption of plug-in hybrid and plug-in electric vehicles, they will play a prominent role in the future electric energy market by acting as responsive loads to increase the grid stability and facilitate the integration of renewables. However, due to the large number of controllable devices in the future grid, central vehicle to grid (V2G) management would be challenging...
The electric vehicle (EV), a promising technique to reduce transportation emissions, is one of the most important household appliances for demand response. Under the real-time pricing environment in smart grid, EV owners are faced with the EV charging scheduling problem to minimize electricity cost. Existing works focused on offline solutions or Markov decision processes which require full or statistical...
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