Open AccessDesign of robust model predictive controllers for frequency and voltage loops of interconnected power systems including wind farm and energy storage system
Author(s) -
Othman Ahmed M.,
ElFergany Attia A.
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5568
Subject(s) - control theory (sociology) , model predictive control , electric power system , wind power , flywheel energy storage , voltage , computer science , control engineering , solver , power (physics) , engineering , energy storage , control (management) , physics , quantum mechanics , artificial intelligence , electrical engineering , programming language
The controllers are used to reduce fluctuations in frequency deviations and tie‐line power flow exchange of an interconnected power system due to load and voltage disturbances. This study proposes a control strategy based on model predictive control (MPC) procedures with various design schemes for an unequal two‐area interconnected power system. The study model comprises voltage excitation and frequency loops with necessary interactions between them. Flywheel as an energy storage system along with wind energy are engaged in the model under study. The tuning parameters of MPC‐based controllers are obtained by quadratic problem solver. The validity of the proposed MPC‐based controllers is extensively confirmed using the simulation results under different disturbance conditions such as different loadings and voltage changes. The effectiveness of the MPC based on controllers is compared to classical controllers and recent controllers based on optimisation techniques such as genetic algorithm. In addition, the quality specifications of the dynamic responses of the anticipated MPC‐based controllers are reported to signify their values. The quality indices along with comparative performance point out the good performance of the demonstrated MPC‐based controllers for various estimated novel scenarios.