Finite Control Set Model Predictive Control for Complex Energy System with Large-Scale Wind Power. (28th July 2019)

• Record Type: Journal Article
• Authors: Shen, Yang-Wu; Yuan, Jin-Rong; Shen, Fei-Fan; Xu, Jia-Zhu; Li, Chen-Kun; Wang, Ding
• Other Names: Bai Xiaoqing Guest Editor.
• Is Part Of: Complexity. Volume 2019(2019)
• Publication Date: 2019-07-28
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2019/4358958
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : 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.