Application of intelligence-based predictive scheme to load-frequency control in a two-area interconnected power system

Mazinan, A. H ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. DOI: 10.1007/s10489-010-0236-1
  3. Publisher: 2011
  4. Abstract:
  5. This paper describes an application of intelligence- based predictive scheme to load-frequency control (LFC) in a two-area interconnected power system. In this investigation, at first, a dynamic model of the present system has to be considered and subsequently an efficient control scheme which is organized based on Takagi-Sugeno-Kang (TSK) fuzzy-based scheme and linear generalized predictive control (LGPC) scheme needs to be developed. In the control scheme proposed, frequency deviation versus load electrical power variation could efficiently be dealt with, at each instant of time. In conclusion, in order to validate the effectiveness of the proposed control scheme, the whole of outcomes are simulated and compared with those obtained using a nonlinear GPC (NLGPC), as a benchmark approach, which is implemented based on the Wiener model of this power system. The validity of the proposed control scheme is tangibly verified in comparison with the previous one
  6. Keywords:
  7. Linear generalized predictive control scheme ; Nonlinear generalized predictive control scheme ; Two-area interconnected power system ; Control schemes ; Efficient control ; Electrical power ; Frequency deviation ; Generalized predictive control ; Intelligence-based predictive scheme ; Load-frequency control ; Non-linear generalized predictive control ; Wiener models ; Computer simulation ; Electric load management ; Electric power system interconnection ; Model predictive control ; Power transmission ; Predictive control systems ; Electric frequency control
  8. Source: Applied Intelligence ; Volume 35, Issue 3 , 2011 , Pages 457-468 ; 0924669X (ISSN)
  9. URL: http://link.springer.com/article/10.1007%2Fs10489-010-0236-1