PI-MPC Frequency Control of Power System in the Presence of DFIG Wind Turbines

Michael Z. Bernard, T. H. Mohamed, Raheel Ali, Yasunori Mitani, Yaser Soliman Qudaih

Department of Electrical Engineering and Electronics, Kyushu Institute of Technology, Fukuoka, Japan.
Faculty of Energy Eng., Aswan University, Aswan, Egypt.

DOI: 10.4236/eng.2013.59B008                

Abstract

For the recent expansion of renewable energy applications, Wind Energy System (WES) is receiving much interest all over the world. However, area load change and abnormal conditions lead to mismatches in frequency and scheduled power interchanges between areas. These mismatches have to be corrected by the LFC system. This paper, therefore, proposes a new robust frequency control technique involving the combination of conventional Proportional-Integral (PI) and Model Predictive Control (MPC) controllers in the presence of wind turbines (WT). The PI-MPC technique has been designed such that the effect of the uncertainty due to governor and turbine parameters variation and load disturbance is reduced. A frequency response dynamic model of a single-area power system with an aggregated generator unit is introduced, and physical constraints of the governors and turbines are considered. The proposed technique is tested on the single-area power system, for enhancement of the network frequency quality. The validity of the proposed method is evaluated by computer simulation analyses using Matlab Simulink. The results show that, with the proposed PI-MPC combination technique, the overall closed loop system performance demonstrated robustness regardless of the presence of uncertainties due to variations of the parameters of governors and turbines, and loads disturbances. A performance comparison between the proposed control scheme, the classical PI control scheme and the MPC is carried out confirming the superiority of the proposed technique in presence of doubly fed induction generator (DFIG) WT.

Keywords

Doubly Fed Induction Generator; Power System; Model Predictive Control); Proportional Integral Controller; DFIG Wind Turbine; Wind Energy System (WES)

Conflicts of Interest

The authors declare no conflicts of interest.

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