Title :
Optimal placement of PMU with optimal branch current phasors for complete and incomplete observability
Author :
Sajan, K.S. ; Tyagi, Barjeev
Abstract :
In this paper, a novel technique for optimal placement of phasor measurement units (PMUs) with minimum number of branch current phasor measurements for complete and incomplete observability has been presented. In the proposed algorithm, first the optimal placement of PMU was determined using binary genetic algorithm, then this result was used to minimize the number of current phasor measurement using genetic algorithm. The proposed algorithm has been tested using IEEE 14 and 30 bus systems.
Keywords :
genetic algorithms; integer programming; linear programming; phase measurement; PMU; binary genetic algorithm; optimal branch current phasors; optimal placement; phasor measurement units; Current measurement; Genetic algorithms; Observability; Phasor measurement units; Power systems; State estimation; Voltage measurement; Binary integer linear programming (BILP); genetic algorithm (GA); optimal PMU placement; optimal branch current phasor; phasor measurement unit (PMU);
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2011.6039307
