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Constrained population extremal optimization-based robust load frequency control of multi-area interconnected power system

  • Kangdi LU
  • , Wuneng ZHOU*
  • , Guoqiang ZENG
  • , Yiyuan ZHENG
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

This paper proposes a robust proportional-integral (PI) controller with its parameters designed by constrained population extremal optimization for load frequency control problem of multi-area interconnected. During the process of optimization, the robust performance index is used as fitness function, where linear matrix inequalities technique is employed to describe the H∞ constraint, and the taking error performance requirement such as integral time absolute error is incorporated as another constraint. Three different two-area interconnected power systems are used as test systems to demonstrate the effectiveness of the proposed controller by comparing with other PI control methods and one optimized model predictive control. In addition, in order to investigate the performance of proposed controller for the LFC problem of large scale system, a three-area interconnected power system is used as another test system. The comprehensive experimental results fully demonstrate that the proposed control scheme in this paper performs better than other control strategies on the most considered scenarios under the conditions of load disturbance and parameters uncertainties in terms of system response and control performance indices.
Original languageEnglish
Pages (from-to)249-271
Number of pages23
JournalInternational Journal of Electrical Power and Energy Systems
Volume105
Early online date29 Aug 2018
DOIs
Publication statusPublished - Feb 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 Elsevier Ltd

Funding

This work was partially supported by Natural Science Foundation of China (Grant No. 61573095 ), and Zhejiang Provincial Natural Science Foundation of China (Nos. LY16F030011 and LZ16E050002 ).

Keywords

  • Constrained evolutionary optimization
  • Load frequency control
  • Multi-area interconnected power system
  • Population extremal optimization
  • Robust PI controller

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