NDLI: PID controller adjustment for MA-LFC by using a hybrid Genetic-Tabu Search Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Soheilirad, M. Karami, K. Othman, M.L. Farzan, P. Fallah, S.N.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Univ. Putra Malaysia, Serdang, Malaysia (Soheilirad, M.; Karami, K.; Othman, M.L.; Farzan, P.; Fallah, S.N.)
Abstract	In this paper a hybrid Genetic-Tabu Search Algorithm (GT) is used for tuning the elements of a PID controller which is applied in a Multi Area Load Frequency Control System (MA-LFC). If a large power imbalance is suddenly happened in a multi area power electric system, generation units and also consumer sides will be affected by the distortion in the energy balance between both two sides. This inequality is firstly handled by the kinetic energy of the system turning components, but, eventually, the frequency will change. Therefore, LFC is considered as one of the most challenging issues in power system control and operation. PID type controllers are conventional solutions for MA-LFC. The three parameters of the PID controllers have been adjusted traditionally. In this paper, a PID controller is applied for the MA-LFC problem and then its parts are modified by using GT method. To validate the application of the technique, a multi area network with some uncertainties is provided. Finally the results of the GT-PID controller are compared with the ones of GA optimized controllers. The simulation results show the success and the validity of the GT-PID controller in compare with the GA - PID controller.
Starting Page	197
Ending Page	202
File Size	870466
Page Count	6
File Format	PDF
e-ISBN	9781479910304
DOI	10.1109/ICSEngT.2013.6650170
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-19
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Conferences Sociology Power System Dynamics Genetic Algorithm Systems engineering and theory Tabu Search Multi Area Network Power systems Performance analysis Statistics Load Frequency Control Genetic algorithms
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

PID controller adjustment for MA-LFC by using Imperialist Competitive Algorithm

Load Frequency Control In Power Systems Using Genetic Algorithm

Fuzzy like pid controller tuning by multi- objective genetic algorithm for load frequency control in nonlinear electric power systems.

Regulating LFC regulations in a deregulated power system using Hybrid Genetic-Firefly algorithm

Gravitational Search Algorithm (GSA) based PID Controller Design for Two Area Multi-Source Power System Load Frequency Control (LFC)

A multi-objective genetic algorithm based pid controller for load frequency control of power systems.

Comparison of Multi-Area Load Frequency Control by PI and Fuzzy Logic Controller Using SMES

A Genetic Algorithm for Optimum Design of PID Controller in Load Frequency Control

Load Frequency Control in multi-area power system based on Fuzzy Logic-PID Controller

PID controller adjustment for MA-LFC by using a hybrid Genetic-Tabu Search Algorithm

Similar Documents

PID controller adjustment for MA-LFC by using Imperialist Competitive Algorithm

Load Frequency Control In Power Systems Using Genetic Algorithm

Fuzzy like pid controller tuning by multi- objective genetic algorithm for load frequency control in nonlinear electric power systems.

Regulating LFC regulations in a deregulated power system using Hybrid Genetic-Firefly algorithm

Gravitational Search Algorithm (GSA) based PID Controller Design for Two Area Multi-Source Power System Load Frequency Control (LFC)

A multi-objective genetic algorithm based pid controller for load frequency control of power systems.

Comparison of Multi-Area Load Frequency Control by PI and Fuzzy Logic Controller Using SMES

A Genetic Algorithm for Optimum Design of PID Controller in Load Frequency Control

Load Frequency Control in multi-area power system based on Fuzzy Logic-PID Controller

PID controller adjustment for MA-LFC by using a hybrid Genetic-Tabu Search Algorithm