Automatic Generation Control in an Interconnected Power System Incorporating Diverse Source Power Plants Using Bacteria Foraging Optimization Technique

This article presents automatic generation control (AGC) of a two-area interconnected power system with diverse energy sources using the bacteria foraging optimization technique. The control areas of interconnected power systems consist of hydro, thermal, and gas power plants. In this study, the pro...

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Vydáno v:Electric power components and systems Ročník 43; číslo 2; s. 189 - 199
Hlavní autoři: Nasiruddin, Ibraheem, Bhatti, Terlochan S., Hakimuddin, Nizamuddin
Médium: Journal Article
Jazyk:angličtina
Vydáno: Philadelphia Taylor & Francis 20.01.2015
Taylor & Francis Ltd
Témata:
Automatic control
automatic generation control
Bacteria
bacteria foraging algorithm
Control systems
diverse source power plants
E coli
Electric power generation
Electric power plants
Escherichia coli
Forages
Foraging behavior
integral square error
interconnected power system
Optimization
Power plants
Regulators
ISSN:1532-5008, 1532-5016
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Abstract This article presents automatic generation control (AGC) of a two-area interconnected power system with diverse energy sources using the bacteria foraging optimization technique. The control areas of interconnected power systems consist of hydro, thermal, and gas power plants. In this study, the proportional-integral-derivative (PID) structures of AGC regulators are designed for various case studies identified herein. An artificial intelligent optimization algorithm using the modeling behavior of E. Coli bacteria present in human intestines, is applied to tune the gains of PID structured AGC regulators. The closed-loop system dynamic response plots are obtained with designed AGC regulators for various power system models. The effectiveness of the proposed AGC regulators is demonstrated in the wake of a 1% step load disturbance in one of the control areas. It has been shown that the system dynamic responses subject to a step load disturbance are superior over other power plant combinations in a control area with only thermal and gas power plants participating in the AGC schemes, and it is sluggish/poor when only hydro power plants participated in the AGC scheme as one of the diverse sources in the power system.
AbstractList This article presents automatic generation control (AGC) of a two-area interconnected power system with diverse energy sources using the bacteria foraging optimization technique. The control areas of interconnected power systems consist of hydro, thermal, and gas power plants. In this study, the proportional-integral-derivative (PID) structures of AGC regulators are designed for various case studies identified herein. An artificial intelligent optimization algorithm using the modeling behavior of E. Coli bacteria present in human intestines, is applied to tune the gains of PID structured AGC regulators. The closed-loop system dynamic response plots are obtained with designed AGC regulators for various power system models. The effectiveness of the proposed AGC regulators is demonstrated in the wake of a 1% step load disturbance in one of the control areas. It has been shown that the system dynamic responses subject to a step load disturbance are superior over other power plant combinations in a control area with only thermal and gas power plants participating in the AGC schemes, and it is sluggish/poor when only hydro power plants participated in the AGC scheme as one of the diverse sources in the power system.
Author Bhatti, Terlochan S.
Nasiruddin, Ibraheem
Hakimuddin, Nizamuddin
Author_xml – sequence: 1
  givenname: Ibraheem
  surname: Nasiruddin
  fullname: Nasiruddin, Ibraheem
  organization: Department of Electrical Engineering, Qassim University
– sequence: 2
  givenname: Terlochan S.
  surname: Bhatti
  fullname: Bhatti, Terlochan S.
  organization: Centre for Energy Studies, Indian Institute of Technology Delhi
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  givenname: Nizamuddin
  surname: Hakimuddin
  fullname: Hakimuddin, Nizamuddin
  email: nizam.jamia@gmail.com
  organization: New Okhla Industrial Development Authority, Div-E/M-II
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SubjectTerms Automatic control
automatic generation control
Bacteria
bacteria foraging algorithm
Control systems
diverse source power plants
E coli
Electric power generation
Electric power plants
Escherichia coli
Forages
Foraging behavior
integral square error
interconnected power system
Optimization
Power plants
Regulators
Title Automatic Generation Control in an Interconnected Power System Incorporating Diverse Source Power Plants Using Bacteria Foraging Optimization Technique
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