Probabilistic Load Flow Solution Considering Optimal Allocation of SVC in Radial Distribution System

TitleProbabilistic Load Flow Solution Considering Optimal Allocation of SVC in Radial Distribution System
Publication TypeJournal Article
Year of Publication2018
AuthorsAhmed, W., A. Selim, S. Kamel, J. Yu, and F. Jurado
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueRegular Issue
Volume5
Number3
Date Published12/2018
Pagination152-161
Abstract

This paper proposes a solution procedure for probabilistic load flow problem considering the optimal allocation of Static Var Compensator (SVC) in radial distribution systems. Pareto Envelope-based Selection Algorithm II (PESA-II) with fuzzy logic decision maker is developed to determine the optimal location and size of SVC based on the minimum total power losses and Voltage Deviation (VD). Combined cumulants and gram-chalier expansion are used for solving the probabilistic load flow problem. The proposed algorithm is tested on 33-bus and 69-bus distribution systems. The developed algorithm gives an acceptable solution with low number of iterations and less computation cost compared with the Monte Carlo method.

KeywordsParticle Swarm Optimization, Probabilistic Load Flow, Radial Distribution System, SVC
DOI10.9781/ijimai.2018.11.001
URLhttp://www.ijimai.org/journal/sites/default/files/files/2018/11/ijimai_5_3_16_pdf_17977.pdf
AttachmentSize
ijimai_5_3_16.pdf2.91 MB