Robust multivariable predictive based load frequency control considering generation rate constraint

Shiroei, M ; Sharif University of Technology | 2013

1018 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/j.ijepes.2012.10.039
  3. Publisher: 2013
  4. Abstract:
  5. In this paper, a robust multivariable Model based Predictive Control (MPC) is proposed for the solution of load frequency control (LFC) in a multi-area power system. The proposed control scheme is designed to consider multivariable nature of LFC, system uncertainty and generation rate constraint, simultaneously. A constrained MPC is employed to calculate optimal control input including generation rate constraints. Economic allocation of generation is further ensured by modification of the predictive control objective function. To achieve robustness against system uncertainty and variation of parameters, a linear matrix inequality (LMI) based approach is employed. To validate the effectiveness of the proposed controller, time-based simulations on a three-area power system are performed and the results are then compared with PI controller. The results evaluation reveals that the proposed control strategy offers satisfactory performance in the presence of system constraint and provides robust performance for an extensive range of system uncertainty
  6. Keywords:
  7. Generation rate constraints (GRCs) ; Linear matrix inequality (LMI) ; Model Predictive Control (MPC) ; Robust load frequency control ; Control schemes ; Control strategies ; Generation rate constraints ; Load-frequency control ; Model based predictive control ; Multi area power systems ; Multi variables ; Multivariable control ; Optimal controls ; PI Controller ; Predictive control ; Robust performance ; System constraints ; System uncertainties ; Variation of Parameters ; Electric control equipment ; Electric frequency control ; Linear matrix inequalities ; Model predictive control ; Predictive control systems ; Press load control ; Electric load management
  8. Source: International Journal of Electrical Power and Energy Systems ; Volume 46, Issue 1 , March , 2013 , Pages 405-413 ; 01420615 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0142061512006023