JOURNAL ARTICLE

Design of Robust Load Frequency Controller:HLoop Shaping Approach

Sourav PatraSiddhartha SenG. Ray

Year: 2007 Journal:   Electric Power Components and Systems Vol: 35 (7)Pages: 769-783   Publisher: Taylor & Francis

Abstract

Abstract In this article, a robust load frequency controller is designed by adopting H ∞ loop shaping design procedure given in [1 McFarlane, D. and Glover, K. 1992. "A loop shaping design procedure using H∞ synthesis,". IEEE Transactions on Automatic Control, Vol. 37(No. 6): 759–769. [Crossref], [Web of Science ®] , [Google Scholar]]. Using a selected pre-compensator, the singular values of the nominal system are modified to satisfy the requirements for closed-loop performance specifications along with the sufficient robust stability margin of the system. The design of stabilizing controller for the perturbed plant is performed in the framework of normalized coprime factors of the shaped plant. This method does not require an iterative procedure for robust stability margin and thus improves the computational efficiency. The real μ-analysis is adopted to ensure the robust stability of the system. The effectiveness of the method has been demonstrated through the simulation studies of a two-area interconnected power system.

Keywords:
Control theory (sociology) Coprime integers Robust control Controller (irrigation) Phase margin Stability (learning theory) Margin (machine learning) Electric power system Loop (graph theory) Automatic frequency control Computer science Control system Control engineering Singular value Power (physics) Engineering Control (management) Mathematics Algorithm

Metrics

23
Cited By
0.62
FWCI (Field Weighted Citation Impact)
25
Refs
0.73
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Frequency Control in Power Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Power System Optimization and Stability
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering

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