Open AccessImproved predictive current model control based on adaptive PR controller for standalone system based DG set
Author(s) -
Halima Ikaouassen,
Abderraouf Raddaoui,
Miloud Rezkallah,
Hussein Ibrahim
Publication year - 2020
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v10i2.pp1905-1914
Subject(s) - control theory (sociology) , computer science , controller (irrigation) , model predictive control , pid controller , matlab , filter (signal processing) , control engineering , control (management) , temperature control , engineering , artificial intelligence , agronomy , computer vision , biology , operating system
This paper investigates an improved current predictive model control (PCMC) strategy with a prediction horizon of one sampling time for voltage regulation in standalone system based on diesel engine driven fixed speed of a synchronous generator. An adaptive PR controller with anti-windup scheme is employed to achieve high performance regulation without saturation issues. In addition, new method to obtain the optimal parameters of the adaptive PR controller to achieve high performance during the transition and in steady state is provided. To balance the power at the point of common coupling (PCC) as well as to feed a clean power to the connected loads, a three-phase voltage source inverter (VSI) with LRC filter is controlled using the developed improved PCMC strategy, where the output filter current is controlled using the predicting of the system behaviour model in the future step, at each sampling prediction time. The performances of the proposed configuration and the improved control strategy are verified using Matlab/Simulink interface.