DocumentCode
1893640
Title
Observability analysis and optimal placement of PMU using Differential Evolution algorithm
Author
Venkateswaran, V.B. ; Kala, V.S.C.
Author_Institution
S.R.M. Univ. Katiankulathur, Chennai, India
fYear
2012
fDate
13-15 Dec. 2012
Firstpage
205
Lastpage
209
Abstract
Power system state estimator uses the set of available measurements in order to estimate the state of the system. For the given measurements, the network observability analysis will determine if a unique estimate can be found for the system state. Network observability analysis can be performed using either numerical or topological approaches. In this paper optimal number and location of phasor measurement unit is performed using Differential Evolution algorithm. In addition single phasor measurement unit loss is also considered. To verify our proposed approach, simulations on 6-bus test system and IEEE 14-bus, 30-bus, 57-bus and 118-bus system are performed.
Keywords
IEEE standards; evolutionary computation; numerical analysis; phasor measurement; IEEE 118-bus system; IEEE 14-bus system; IEEE 30-bus system; IEEE 57-bus system; IEEE 6-bus test system; PMU; differential evolution algorithm; network observability analysis; numerical approaches; optimal placement; phasor measurement unit; power system state estimator; topological approaches; Differential Evolution (DE); Network Observability; Phasor Measurement Unit (PMU); State Estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), 2012 International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4673-4633-7
Type
conf
DOI
10.1109/ICETEEEM.2012.6494461
Filename
6494461
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