Paper Info
Title
A multi-objective placement of phasor measurement units using fuzzified artificial bee colony algorithm, considering system observability and voltage stability.
Abstract
This paper presents Multi-objective Optimal Placement of Phasor measurement units (MOPP) to improve the performance of power system monitoring and control. It is proposed for achieving complete observability with a minimal number of phasor measurement units (PMUs) and maximising the voltage stability level of the system, simultaneously. As the above mentioned objectives are conflicting in nature, a fuzzified binary artificial bee colony algorithm is considered to solve the MOPP problem to offer a good tradeoff solution between the competing objectives. Here, fuzzy membership for each objective function is designed and proposed to decide the best solution of MOPP problem. Initially, weak buses are identified using the fast voltage stability index calculation for their close and reliable monitoring. This is done in order to prevent the outage of these buses. The conventional rule is used to minimise the number of PMUs and a new rule is proposed to maximise both the observability and voltage stability levels of the system. The efficiency of the artificial bee colony method is validated on IEEE 14, 30 and 57 bus test systems and it is verified by comparing the performance of proposed method with earlier works.
Year
DOI
Venue
2016
10.1080/0952813X.2015.1020520
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
Keywords
DocType
Volume
optimal placement,fuzzy set theory,artificial bee colony algorithm,voltage stability evaluation,phasor measurement unit
Journal
28.0
Issue
ISSN
Citations 
SP1-2
0952-813X
1
PageRank 
References 
Authors
0.43
7
4
Name
Order
Citations
PageRank
K. Arul jeyaraj110.77
V. Rajasekaran210.43
S. K. Nandha Kumar310.43
K. Chandrasekaran412.12