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Comparison of MPC based advanced hybrid controllers for STATCOM in medium scale PEM fuel cell systems
Affiliation:1. School of Science, Xihua University, No. 999 Tuqiao Jinzhou Road, Chengdu, 610039, China;2. School of Chemical Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu, 610065, China;1. Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Siping, 136000, China;2. State Key Laboratory of Superhard Materials, Jilin University, Changchun 130051, PR China;1. School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo, 255049, China;2. School of Materials Science and Engineering, Shandong University of Technology, Zibo, 255049, China;3. National and Local Joint Engineering Laboratory for Lithium-ion Batteries and Materials Preparation Technology, Key Laboratory of Advanced Battery Materials of Yunnan Province, Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming, 650093, China;1. Audi AG Neckarsulm, Neckarsulm, 74172, Germany;2. University of Paderborn, Technical and Macromolecular Chemistry, Paderborn, 33098, Germany
Abstract:In this article is about off grid medium scale Proton Exchange Membrane (PEM) Fuel Cell (FC) Renewable Energy System (FCRES). It is aimed to investigate the elimination of reactive power on the loads fed from the FCRES by using PI-Model Predictive Control (PI-MPC), Fractional PI (PIλ)-Model Predictive Control (PIλ?MPC) and Two-Degree of Freedom PI (2DOFPI)-Model Predictive Controller (2DOFPI-MPC). The effectiveness of these controllers were examined and compared both when controlling reactive power and using different control techniques. The reactive power was attempted to be eliminated using Static Synchronous Compensator (STATCOM). An advanced controller structure has been introduced by controlling capacitor voltages by switching 24 IGBTs in the 5-level inverter within its structure. In this way, the efficiency of the system was increased. The system was simulated in MATLAB/Simulink environment. System consisted of FC, STATCOM, loads, filter, coupling inductance, measurement units and advanced hybrid controllers. In the study, system behavior was also examined in the case of compensation in the system consisting of FCs working off grid.
Keywords:Proton exchange membrane fuel cell  STATCOM  Model predictive control  Fractional PI  Two-degree of freedom PI
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