DocumentCode :
1721387
Title :
Phasor Measurement Units´ allocation in Unified Electrical Power Network of Egypt
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, Egypt
fYear :
2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a comparison between phasor measurement units´ (PMUs´) optimal allocation for system topological observability, and PMUs´ optimal number and locations for minimum state estimation residual error. A newly developed technique based on discrete particle swarm optimization (DPSO) is used in finding the PMUs´ optimal allocation for different system unobservability depth. For the optimal allocation of PMUs from the point of view of minimum state estimation residual error, a new methodology is used with a new hybrid state estimation technique. The comparison is applied to a large system depicted from unified electrical power network (UEPN) of Egypt. The simulation results are discussed in details.
Keywords :
particle swarm optimisation; phase measurement; power system measurement; power system state estimation; DPSO technique; Egypt; discrete particle swarm optimization; hybrid state estimation technique; phasor measurement unit optimal allocation; unified electrical power network; Electric variables measurement; Frequency synchronization; Global Positioning System; Particle swarm optimization; Phasor measurement units; Power measurement; Power system control; Power system protection; Power systems; State estimation; Discrete particle swarm optimization (DPSO); hybrid parameters state estimation; optimal allocation; phasor measurement units (PMUs); topological observability; tree search method (TSM); unobservability depth;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech, 2009 IEEE Bucharest
Conference_Location :
Bucharest
Print_ISBN :
978-1-4244-2234-0
Electronic_ISBN :
978-1-4244-2235-7
Type :
conf
DOI :
10.1109/PTC.2009.5282059
Filename :
5282059
Link To Document :
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