NDLI: Optimal feature selection for islanding detection in distributed generation

Please wait, while we are loading the content...

Biosurface and Biotribology

CAAI Transactions on Intelligence Technology

CIRED - Open Access Proceedings Journal

Chinese Journal of Electronics

Cognitive Computation and Systems

Electronics Letters

Energy Conversion and Economics

Engineering & Technology

Engineering Biology

Healthcare Technology Letters

IET Circuits, Devices & Systems

IET Collaborative Intelligent Manufacturing

IET Communications

IET Computer Vision

IET Computers & Digital Techniques

IET Control Theory & Applications

IET Cyber-Physical Systems: Theory & Applications

IET Cyber-Systems and Robotics

IET Electric Power Applications

IET Electrical Systems in Transportation

IET Energy Systems Integration

IET Generation, Transmission & Distribution

IET Image Processing

IET Information Security

IET Intelligent Transport Systems

IET Microwaves, Antennas & Propagation

IET Nanobiotechnology

IET Nanodielectrics

IET Optoelectronics

IET Power Electronics

IET Quantum Communication

IET Radar, Sonar & Navigation

IET Renewable Power Generation

IET Science, Measurement & Technology

IET Signal Processing

IET Smart Cities

Volume 4 (2021)

Volume 3 (2020)

Volume 2 (2019)

Volume 1 (2018)

Volume 1 (2018) : Issue 4, Dec

Volume 1 (2018) : Issue 3, Oct

Advanced control strategy for an energy storage system in a grid-connected microgrid with renewable energy generation

Collaborative demand response in smart electric grid with virtual system operator

Game theory based bidding strategy for prosumers in a distribution system with a retail electricity market

Optimal feature selection for islanding detection in distributed generation

Protection in DC microgrids: a comparative review

Volume 1 (2018) : Issue 2, Jul

Volume 1 (2018) : Issue 1, Apr

IET Systems Biology

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Optimal feature selection for islanding detection in distributed generation

Content Provider	IET Digital Library
Author	Chandak, Sheetal Mishra, Manohar Nayak, Subrat Rout, Pravat Kumar
Abstract	The integration of the distributed power generation into a distribution system comes with several system problems. One of the teething problems related to system protection is islanding detection. Various anti-islanding techniques based on feature evaluation were proposed in the recent past. However, they overlook the need for justifying the selection of a particular detection feature among all the possible measures. In this study, a wrapper feature selection approach is proposed where a modified multi-objective differential evolution algorithm is coupled with a kernel-based extreme learning machine classifier. To select the optimum features, five standard objective functions have been considered, such as dependability, security, accuracy, F-measure, and the number of features. About 1864 cases have been generated from the designed IEEE 13 bus system to extract the sensitive features. IEEE 1547 standards have been considered while designing and testing the IEEE 13 bus system against islanding. The selected optimal features detect the islanded condition decisively for both synchronous and inverter-based distributed generators. The features also validate their performance under noisy environment accurately with lesser computational time.
Starting Page	85
Ending Page	95
Page Count	11
Volume Number	1
e-ISSN	25152947
Issue Number	Issue 3, Oct (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-stg/1/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0021
Journal	IET Smart Grid
Publisher	The Institution of Engineering and Technology
Publisher Date	2018-08-21
Access Restriction	Open
Rights License	Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Subject Keyword	Anti-islanding Technique Designed IEEE 13 Bus System Distributed Generation Distributed Generator Distributed Power Generation Distribution Network Distribution System Evolutionary Computation Feature Evaluation Feature Extraction IEEE 1547 Standards IEEE Standards Invertors Islanded Condition Islanding Detection Kernel-based Extreme Learning Machine Classifier Knowledge Engineering Technique Learning in AI Multiobjective Differential Evolution Algorithm Optimal Feature Selection Optimisation Technique Optimum Feature Particular Detection Feature Pattern Classification Power Distribution Fault Power Engineering Computing Selected Optimal Feature Standard Objective Function System Protection Teething Problem Wrapper Feature Selection Approach
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

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