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
Link To Document :
بازگشت