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Decentralized model predictive‐based load‐frequency control in an interconnected power system concerning wind turbines
Author(s) -
Mohamed Tarek Hassan,
Morel Jorge,
Bevrani Hassan,
AbdEltawwab Hassan Ahmed,
Sayed Mohamed Yehia,
Hiyama Takashi
Publication year - 2012
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.21762
Subject(s) - control theory (sociology) , wind power , governor , electric power system , turbine , model predictive control , robustness (evolution) , automatic frequency control , computer science , control engineering , controller (irrigation) , power (physics) , engineering , control (management) , mechanical engineering , telecommunications , agronomy , biochemistry , physics , chemistry , electrical engineering , quantum mechanics , artificial intelligence , biology , gene , aerospace engineering
This paper presents a load‐frequency control (LFC) design using the model predictive control (MPC) technique in a multi‐area power system in the presence of wind turbines (WTs). In the studied system, the controller of each local area is designed independently such that the stability of the overall closed‐loop system is guaranteed. A frequency response model of the multi‐area power system including WTs is introduced, and physical constraints of the governors and turbines are considered. The model was employed in the MPC structures. Digital simulations for a two‐area power system are provided to validate the effectiveness of the proposed scheme. The results show that with the proposed MPC technique the overall closed‐loop system performance shows robustness in the face of uncertainties due to governor and turbine parameter variation and load disturbances. A performance comparison between the proposed controller with WTs and MPC without WTs and a classical integral control scheme is carried out, confirming the superiority of the proposed MPC technique with WTs. © 2012 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.