NDLI: Performance analysis of Solar PV-diesel based autonomous hybrid power system using FFA and CSA optimized controller

Content Provider	IEEE Xplore Digital Library
Author	Das, D.C. Sharma, A. Dema, D. Modi, A.
Copyright Year	2015
Description	Author affiliation: Electr. Eng. Dept., NIT, Silchar, India (Das, D.C.; Sharma, A.; Dema, D.; Modi, A.)
Abstract	This paper presents a comparative performance study of Cuckoo Search Algorithm (CSA) and Firefly Algorithm (FA) optimized proportional plus integral (PI) controller for the frequency control of solar-diesel-fuel cell-battery-aqua electrolyser based autonomous hybrid power system. In such an autonomous hybrid power system, infinite bus concept is not applicable. Therefore, with changing load, generation or both, power system frequency deviates from the nominal value. Thus, controllers are used to mitigate this frequency deviation. There are several tuning rules for obtaining the controller parameters, such as manual tuning, Ziegler Nichols tuning, Cohen-coon tuning etc., however, complexities arise during their implementation. Moreover, recent trend is to use automatic tuning. In this paper, parameters of controllers are tuned by CSA and FA under certain disturbance conditions of the hybrid power system. The simulation results reveal that performance of CSA optimized controllers are better than FA optimized controllers in terms of settling time, overshoot, oscillations.
Starting Page	1
Ending Page	6
File Size	719713
Page Count	6
File Format	PDF
ISBN	9781479986392
ISSN	21593450
e-ISBN	9781479986415
DOI	10.1109/TENCON.2015.7373073
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hybrid power systems Fuel cells Frequency control Power generation Linear programming Generators Transfer functions firefly algorithm Solar photovoltaic fuel cell aquaelectrolyser cuckoo search algorithm
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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