Volume 03: Proceedings of 11th International Conference on Applied Energy, Part 2, Sweden, 2019

Modeling and Control of Centralized Evs for Regulation Service Mingshen Wang, Yunfei Mu, Hongjie jia, Wenjin Qi, Qian jiang, Xiaolong jin


The high penetration of renewable energy incurs serious power fluctuations in the power system. The electric vehicles (EVs) under the centralized control tend to provide considerable regulation capacity for the power system. In the existing modeling methods for centralized EVs, the accurate control results for the regulation services were achieved by modeling each EV individually. However, the computational complexity was a serious problem for modeling large scale EVs. In this paper, a reduced modeling method for centralized EVs is developed by describing a population of EVs with a partial differential equation (PDE). This PDE modeling method uses a finite number of state-of-charge (SOC) intervals to describe the flows of charging, idle and discharging EVs. Considering the three connecting states (CNS) of EVs, this PDE modeling method realizes the power regulation for centralized EVs by changing the CNS of EVs located in different SOC intervals. Comparative simulations validate that the PDE modeling method for large scale centralized EVs achieves high control accuracy and high computational efficiency.

Keywords electric vehicle (EV), centralized control, regulation service, partial differential equation (PDE)

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