Decentralized load frequency control in an interconnected power system using Coefficient Diagram Method-Reference-Cited by-同舟云学术

Decentralized load frequency control in an interconnected power system using Coefficient Diagram Method

Published:2014-12 Issue: Volume:63 Page:165-172
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Bernard Michael Z.,Mohamed Tarek Hassan,Qudaih Yaser Soliman,Mitani Y.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference13 articles.

1. Power system stability and control;Kundur,1994

2. Robust power system control;Bevrani,2009

3. Masiala M, et al. An adaptive fuzzy controller gain scheduling for power system load-frequency control. In: IEEE ICIT ‘04. IEEE international conference on industrial technology 8–10 December, vol. 3, 2004. p.1515–20.

4. Robust LFC for Uncertain nonlinear power systems: a fuzzy logic approach;Lee;Inform Sci,2006

5. Load frequency control in two area power systems using fuzzy logic controller;Çam;Energy Convers Manage,2005

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