Optimal placement of PMUs in power systems using heuristic algorithms and Mixed Integer Non Linear Programming methods

This paper aims to optimize the PMU (Phasor Measurement Unit) placement for a full observation of the power network and the minimum number of PMUs. In this paper competition of Mixed Integer Non-Linear Programming and heuristically algorithms such as Bacterial Foraging Algorithm was presented. The r...

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Bibliographic Details
Published inECTI-CON2010: The 2010 ECTI International Confernce on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology pp. 805 - 809
Main Authors Mazlumi, K, Vahedi, H, Ezzati, S M
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2010
Subjects
Heuristic algorithms
Linear programming
Monitoring
Observability
Performance evaluation
Phasor measurement units
Power systems
State estimation
Substations
Voltage
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Summary:This paper aims to optimize the PMU (Phasor Measurement Unit) placement for a full observation of the power network and the minimum number of PMUs. In this paper competition of Mixed Integer Non-Linear Programming and heuristically algorithms such as Bacterial Foraging Algorithm was presented. The results are demonstrated with PMU placement optimization simulation and a redundancy measurement analysis by using IEEE14-bus and Tehran Regional electric company 41-bus networks..
ISBN:9781424456062
1424456061