DocumentCode :
2516346
Title :
Phasor measurement units’ allocation using Discrete Particle Swarm for voltage stability monitoring
Author :
El-Amary, N.H. ; Mostafa, Y.G. ; Mansour, M.M. ; Mekhamer, S.F. ; Badr, M.A.L.
Author_Institution :
Dept. of Electr. & Comput. Control, Arab Acad. for Sci. & Technol. (AAST), Cairo
fYear :
2008
fDate :
6-7 Oct. 2008
Firstpage :
1
Lastpage :
6
Abstract :
A new modified discrete particle swarm optimization (DPSO) technique is developed to determine the optimal number and locations for phasor measurement units (PMUs) in power system network for different depth of unobservability. The PMUspsila readings are to be utilized using a newly developed technique for on-line voltage stability monitoring. The DPSO developed technique is tested on 14-bus and 57-bus IEEE standard systems. It is also applied on a large system depicted from the Egyptian unified electrical power network. The allocation result is taken into consideration to be used for monitoring the voltage stability status of the system.
Keywords :
particle swarm optimisation; power system measurement; power system stability; Egyptian unified electrical power network; IEEE standard systems; Phasor measurement units allocation; on-line voltage stability monitoring; particle swarm optimization technique; power system network; Measurement units; Monitoring; Particle measurements; Particle swarm optimization; Phasor measurement units; Power system measurements; Power system stability; Standards development; System testing; Voltage; Discrete particle swarm optimization; optimal allocation; phasor measurement units; unobservability depth; voltage alarming predictor; voltage collapse; voltage instability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Power Conference, 2008. EPEC 2008. IEEE Canada
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-2894-6
Electronic_ISBN :
978-1-4244-2895-3
Type :
conf
DOI :
10.1109/EPC.2008.4763348
Filename :
4763348
Link To Document :
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