Model Predictive Control of Voltage Source Converter in a HVDC System

TL;DR

This paper introduces a Model Predictive Control approach for voltage source converters in HVDC systems, demonstrating its effectiveness through simulation of a nonlinear VSC-HVDC model.

Contribution

It develops a MPC controller based on a state-space model for VSC-HVDC systems, including grid dynamics, and validates it with detailed simulations.

Findings

MPC effectively controls VSC in HVDC systems.

The controller handles nonlinear switching dynamics.

Simulation results show improved system stability.

Abstract

Model Predictive Control (MPC) method is a class of advanced control techniques most widely applied in industry. The major advantages of the MPC are its straightforward procedure which can be applied for both linear and nonlinear system. This paper proposes the use of MPC for voltage source converter (VSC) in a high voltage direct current (HVDC) system. A MPC controller is modeled based on the state-space model of a single VSC-HVDC station including the dynamics of the main ac grid. A full scale nonlinear switching model of point-to-point connected VSC-based HVDC system is developed in Matlab/Simulink association with SimPower system to demonstrate the application of the proposed controller.