Optimal Closed Loop Control of G2V/V2G Action Using Model Predictive Controller

TL;DR

This paper presents a model predictive control algorithm for G2V/V2G operations that maintains grid quality and frequency, tested in real-time environments, significantly reducing harmonic distortion and improving waveform quality.

Contribution

It introduces a novel MPC-based control strategy for G2V/V2G systems, validated through real-time simulations and experiments, enhancing grid stability and power quality.

Findings

THD reduced to less than 0.5%

Waveform quality improved to nearly 99%

Grid frequency maintained within standard limits

Abstract

This paper has developed a closed-loop control algorithm to operate the G2V/V2G action, tested under varying battery voltage conditions and load and source power differences. Under V2G action, to maintain total harmonic distortion under minimum level and grid frequency under the standard limit, a Model predictive controller (MPC) has been used to control the gate driver circuit of the inverter. The state space model of the plant has been created using the system identification toolbox, and the MPC Controller block has been designed using the Model Predictive Control Toolbox of MATLAB. The proposed methodology is tested using MATLAB/Simulink and OPAL-RT (OP4510) in a real-time environment. This methodology reduces %THD to less than 0.5%, improves waveform quality of grid voltage, inverter output voltage, grid current, and inverter output current to nearly 99%, and maintains the grid frequency in standard limit while in G2V/V2G action.