278
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

Optimal Automatic Generation Control of Interconnected Power System Considering New Structures of Matrix Q

, &
Pages 136-156 | Received 01 May 2012, Accepted 18 Sep 2012, Published online: 11 Jan 2013
 

Abstract

This article presents optimal automatic generation control regulator designs considering different methods of designing state cost-weighting matrix “Q.” The various aspects of observability and controllability of the system states, which influence the system dynamics directly or indirectly, are incorporated in the design of optimal automatic generation control regulators. For the investigation, a two-area interconnected power system with identical plants consisting of non-reheat turbines is considered. An AC transmission line in parallel a with DC transmission link is taken as area interconnection. The full state feedback control strategy has been applied to get optimal gains of the automatic generation control regulators. The pattern of closed-loop system eigenvalues, optimal gains, and system dynamic response plots in the wake of load disturbance are achieved with the implementation of the different optimal automatic generation control regulators to analyze the system stability and its dynamic performance.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 412.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.