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The development of a Lagrangian Relaxation approach to scheduling distributed energy resources is presented. Relaxing both energy constraints and network constraints we demonstrate a price-based algorithm that can be implemented in a decentralized manner with communication only between each node and its incident branches. Example schedules for a system consisting of conventional and renewable generation,...
A mixed integer linear programming (MILP) formulation is proposed in this paper to solve the problem of optimal charging coordination of electric vehicle (EVs) in unbalanced electrical distribution system (EDS) considering vehicle-to-grid (V2G) technology. The imbalance of the system circuits and loads has been taken into account. The developed method defines an optimal charging schedule for the EVs...
With the advent of plug-in electric vehicles (EV), it becomes increasingly important to study the impact of charge scheduling of a large number of EVs on the day-ahead electricity market price. In this paper, two scheduling models are proposed-joint scheduling model and aggregator scheduling model. They are used to study the effects of scheduling of EV charging on the day-ahead market price of electricity...
The objective of this paper is to present a double-layer charging control model which can be utilized by an Electric Vehicle Supplier/Aggregator (EVS/A) for scheduling and managing the electric vehicle (EV) charging demand. The first layer is a cost-minimization load scheduling algorithm considering the EV demand forecast and wholesale prices. EVS/A can be incentivized by the DSOs to offer load management...
Vehicle-to-grid (V2G) has been proposed as a way to increase the adoption rate of electric vehicles (EVs). Unidirectional V2G is especially attractive because it requires little if any additional infrastructure other than communication between the EV and an aggregator. The aggregator in turn combines the capacity of many EVs to bid into energy markets. In this work an algorithm for unidirectional...
The modeling of complex systems always presents challenges when the intention is to predict the systems' future performance. The mounting number of electrical cars entails growing interest in grid integration and vehicle performance. Modeling will have to address aspects of personal mobility such as vehicle range and availability. A standardized model is needed, which is able to deliver the proper...
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