Electric Vehicle to Power Grid Integration Using Three-Phase Three-Level AC/DC Converter and PI-Fuzzy Controller

Abstract

This paper presents the control and simulation of an electric vehicle (EV) charging station using a three-level converter on the grid-side as well as on the EV-side. The charging station control schemes with three-level AC/DC power conversion and a bidirectional DC/DC charging regulator are described. The integration of EVs to the power grid provides an improvement of the grid reliability and stability. EVs are considered an asset to the smart grid to optimize effective performance economically and environmentally under various operation conditions, and more significantly to sustain the resiliency of the grid in the case of emergency conditions and disturbance events. The three-level grid side converter (GSC) can participate in the reactive power support or grid voltage control at the grid interfacing point or the common coupling point (PCC). A fuzzy logic proportional integral (FL-PI) controller is proposed to control the GSC converter. The controllers used are verified and tested by simulation to evaluate their performance using MATLAB/SIMULINK. The comparison of a PI-controller and a PI-Fuzzy controller for the EV charging station shows the effectiveness of the proposed FL-PI controller over conventional PI controller for same circuit operating conditions. A good performance for PI-Fuzzy in terms of settling time and peak overshoot can observed from the simulation results.

Fuzzy Logic-Based Operation of Battery Energy Storage Systems (BESSs) for Enhancing the Resiliency of Hybrid Microgrids

“…Similarly, scheduling of battery energy storage systems (BESSs) based on environmental conditions is also stochastic in nature [12]. Therefore, fuzzy logic-based scheduling has been used by various researchers [13][14][15][16][17]. Fuzzy set theory can encompass such subjective decision-making process due to its ability to define human reasoning.…”

“…A fuzzy EMS is used for optimal scheduling of an autonomous poly-generation microgrid by [16]. A fuzzy logic-based proportional-integral (PI) controller is used by [17] for integration of electrical vehicles with the utility grid. The peak overshoot and settling time of the fuzzy logic-based PI have improved.…”

“…In emergency operation mode, the microgrid needs to ensure the survivability of the critical loads [9]. Most of the researches in the literature based on fuzzy logic are concentrated on dealing with the uncertain nature of environmental conditions and market price signals [13][14][15][16][17]. Fuzzy logic-based studies considering uncertain nature of disturbance events in microgrids are limited.…”

An Autonomous Coil Alignment System for the Dynamic Wireless Charging of Electric Vehicles to Minimize Lateral Misalignment

“…Thus, it can be expected that the voltages generated in each segment will not be entirely identical. To tolerate such characteristics, a fuzzy logic based steering control method is used in the ACAS, because it can provide better dynamic response compared to other conventional controllers [27,28]. The fuzzy logic steering controller used for the ACAS in this paper was previously introduced by the authors.…”

Optimal Isolation Control of Three-Port Active Converters as a Combined Charger for Electric Vehicles

“…One of these converters is used in the on-board charger to charge the battery, which can then provide power to the entire EV system. The other converter is between the Li-ion battery and the auxiliary battery and is used to charge the auxiliary battery, which can then provide power to electrical installations such as wipers, air-conditioning, and lighting [5][6][7][8][9]. The two converters in EVs work independently.…”