Multi-Level Control in an Electric Vehicle Smart Parking Lot

Van Ruitenbeek, Maarten (2018) Multi-Level Control in an Electric Vehicle Smart Parking Lot. Research Project, Industrial Engineering and Management.

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Abstract

The combination of a fast growing renewable energy sector, an increasing shift towards electric energy in the transport sector, and an expected increase in the sales of electric vehicles (EVs) asks for an improved infrastructure for charging these vehicles using renewable energy. A concept which responds to the needs of charging using renewable energy sources, is described in literature as an Electric Vehicle Smart Parking Lot (EVSPL) which generates, stores and distributes energy. In this thesis aMulti-Level control method is proposed for an EVSPL, which balances the network while taking into account the unpredictability of renewable energy. A Higher-Level controller, based on the Model-Predictive Controlmethodology, creates setpoints for the chargers in the EVSPL. These chargers are controlled by a Lower-Level control method based on second-order SlidingMode Control. After testing the different controllers on a constructed simulation of an EVSPL, it is clear that Sliding Mode Control is able to provide stability for the network. Moreover, the Higher-Level controller shows promising results when future time steps are incorporated. Although combining both control methods comes with great computation loads, a Multi-Level control approach shows adequate stability in the linear and nonlinear area of the charging curve. It should be noted that the used time frames are very short and further research should reveal whether the Multi-Level control method is also able to keep the stability for a larger time span. Suggested improvements imply the implementation of adaptive second-order Sliding Mode Control and a more detailed MPC model which is used in the Higher-Level controller. The final step would be testing this Multi-Level control method in an experimental setup.

Item Type:	Thesis (Research Project)
Supervisor name:	Scherpen, J.M.A.
Degree programme:	Industrial Engineering and Management
Thesis type:	Research Project
Language:	English
Date Deposited:	16 May 2018
Last Modified:	15 Jun 2018 14:32
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/17088

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