Improvement of Frequency Control with Model Prediction Control Based on Virtual Synchronous Generator

Document Type : Original Article

Authors

Electrical and Computer faculty, Khajeh Nasir Toosi university, Tehran, Iran

Abstract

Concerns over the depletion of fossil fuel resources, rising global temperatures and environmental challenges have accelerated the integration of distributed generation units and renewable energy sources into power grids. Unlike traditional large power plants, which predominantly use synchronous generators, these distributed units exhibit significantly lower inertia and damping properties. The increasing penetration of renewable energy sources has led to reduced system inertia, posing challenges for grid stability and control. Consequently, analyzing and controlling power grids in the presence of distributed and renewable generation have become a critical area of research. This study proposes an optimal control method for virtual synchronous generators (VSGs), using power electronics and advanced mechanical control techniques to provide the necessary virtual inertia for grid stability. A nonlinear model of a power network, containing multiple parallel VSGs along with local loads, is developed and analyzed in both grid-connected and islanded operating modes. The nonlinear models are subsequently linearized, and a model predictive control (MPC) strategy is employed to enhance frequency regulation within the grid. To validate the effectiveness of the proposed approach, simulations are conducted in the MATLAB/SIMULINK environment under various disturbance scenarios.

Keywords

Main Subjects

References

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Energy Engineering and Management
Volume 14, Issue 2
October 2024
Pages 44-57

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