Journal article ยท Preprint article
Finite Control Set Model Predictive Control for Complex Energy System with Large-Scale Wind Power
State Grid Hunan Electric Power Company Limited Research Institute1
Center for Electric Power and Energy, Centers, Technical University of Denmark2
Electric Power Systems, Center for Electric Power and Energy, Centers, Technical University of Denmark3
Department of Electrical Engineering, Technical University of Denmark4
Hunan University5
Complex energy systems can effectively integrate renewable energy sources such as wind and solar power into the information network and coordinate the operation of renewable energy sources to ensure its reliability. In the voltage source converter-based high voltage direct current system, the traditional vector control strategy faces some challenges, such as difficulty in PI parameters tuning and multiobjective optimizations.
To overcome these issues, a finite control set model predictive control-based advanced control strategy is proposed. Based on the discrete mathematical model of the grid-side voltage source converter, the proposed strategy optimizes a value function with errors of current magnitudes to predict switching status of the grid-side converter.
Moreover, the abilities of the system in resisting disturbances and fault recovery are enhanced by compensating delay and introducing weight coefficients. The complex energy system in which the wind power is delivered by the voltage source converter-based high voltage direct current system is modeled by Simulink and simulation results show that the proposed strategy is superior to the tradition PI control strategy under various situations, such as wind power fluctuation and fault occurrences.
Language: | English |
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Publisher: | Complexity |
Year: | 2019 |
ISSN: | 10990526 and 10762787 |
Types: | Journal article and Preprint article |
DOI: | 10.1155/2019/4358958 |
ORCIDs: | Shen, Fei Fan |