NDLI: Optimal placement of phasor measurement units with GPS receiver

Content Provider	IEEE Xplore Digital Library
Author	Ki-Seon Cho Joong-Rin Shin Seung Ho Hyun
Copyright Year	2001
Description	Author affiliation: Dept. of Electr. Eng., Konkuk Univ., Seoul, South Korea (Ki-Seon Cho)
Abstract	This paper presents a study on optimal placement of phasor measurement units (PMU) with Global Positioning System (GPS) receivers for more accurate monitoring of a power system. The optimal PMU placement (OPP) problem is, in general, expressed as a combinatorial optimization problem subjected to the observability constraints of the studied power system, which consumes much time to solve. Three approaches, in this paper, are proposed aiming at reducing computational burden in OPP problems. First, a modified simulated annealing (MSA) method, is proposed. The conventional simulated annealing method is slightly modified in setting the initial temperature and in cooling procedure to consider the current state of solution sets. Second, a direct combination (DC) method is suggested using a simple but very effective heuristic rule. When selecting test and neighboring solution sets, this heuristic rule is used to select most effective sets in the observability sense. And the last one is tabu search (TS) method, in which the heuristic rule used in DC method is also used to reduce the searching spaces effectively. Suggested optimization methods are applied, in this paper, to solve OPP problems in IEEE 14, 30 and 57 bus systems. The simulation results show that the proposed methods can find the optimal solutions in an efficient manner.
Starting Page	258
Ending Page	262
File Size	584309
Page Count	5
File Format	PDF
ISBN	0780366727
DOI	10.1109/PESW.2001.917045
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-01-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Phasor measurement units Global Positioning System Power system simulation Power system measurements Observability Computational modeling Simulated annealing Monitoring Constraint optimization Temperature sensors
Content Type	Text
Resource Type	Article

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