Meter placement in active distribution system using objective discretization and indicator-based multi-objective evolutionary algorithm with adaptive reference point method (Record no. 17282)

000 -LEADER
fixed length control field a
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220820112056.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220820b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 17522
Author Bhanu Prasad, C.
245 ## - TITLE STATEMENT
Title Meter placement in active distribution system using objective discretization and indicator-based multi-objective evolutionary algorithm with adaptive reference point method
250 ## - EDITION STATEMENT
Volume, Issue number Vol.103(3), June
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York
Name of publisher, distributor, etc. Springer
Year 2022
300 ## - PHYSICAL DESCRIPTION
Pagination 887-901p.
520 ## - SUMMARY, ETC.
Summary, etc. A new indicator-based multi-objective evolutionary algorithm (MOEA) using the objective discretization method is proposed for the meter placement problem (MPP) in active distribution system. Because MPP is a combinatorial optimization, a combination of measurement sets produces a discrete objective space. Therefore, the objective discretization method has been adopted to enhance the performance of MOEA. The proposed MOEA is an indicator-based method using an inverted generational distance indicator with noncontributing solution detection (IGD-NS) and with an adaptive reference point method (IB-MOEA-AR). The advantage of the IGD-NS indicator is that it measures the diversity and convergence of the solution set as well as identifies the solutions, which does not contribute to the indicator. As the performance of MOEA mostly depends on the Pareto front shape, the proposed method employs an adaptive reference point approach to follow the shape of the Pareto front. Moreover, the effect of distributed generation is investigated on distribution system state estimation performance for different measurement uncertainties as well as for various distributed renewable generations. The MPP is modeled as a multi-objective problem with the objectives consisting of minimization of total meter cost and state estimation errors. The versatility of the proposed method is demonstrated on Indian Practical 85-bus distribution system and UKGDS 95-bus distribution system. The results obtained are compared to existing MOEAs in the literature, to demonstrate the superiority of the proposed method over other methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4642
Topical term or geographic name entry element Humanities and Applied Sciences
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 17523
Co-Author Vinod Kumar, D. M.
773 0# - HOST ITEM ENTRY
Title Journal of the institution of engineers (India): Series B
International Standard Serial Number 2250-2106
856 ## - ELECTRONIC LOCATION AND ACCESS
URL https://link.springer.com/article/10.1007/s40031-021-00703-5
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Articles Abstract Database
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Barcode Date last seen Price effective from Koha item type
          School of Engineering & Technology School of Engineering & Technology Archieval Section 2022-08-20 2022-1303 2022-08-20 2022-08-20 Articles Abstract Database
Unique Visitors hit counter Total Page Views free counter
Implemented and Maintained by AIKTC-KRRC (Central Library).
For any Suggestions/Query Contact to library or Email: librarian@aiktc.ac.in | Ph:+91 22 27481247
Website/OPAC best viewed in Mozilla Browser in 1366X768 Resolution.

Powered by Koha