DocumentCode :
3212091
Title :
Differential evolution meter location in distribution state estimation
Author :
Ramesh, L. ; Chakraborty, N. ; Chowdhury, S.P.
Author_Institution :
Dr. MGR Univ., Chennai, India
fYear :
2011
fDate :
20-22 July 2011
Firstpage :
462
Lastpage :
467
Abstract :
Distribution System monitoring become a very important function in today´s deregulated power markets and thus, state estimators have become the essential tools of choice for the implementation of this function. Determination of the best possible combination of meters for monitoring a given Distribution System is referred to as the optimal meter placement. Whether a new state estimator is put into service or an existing one is being upgraded, placing new meters for improving or maintaining reliability and the observability of the measurement system, is of great concern. This paper proposes an optimization algorithm suitable to choose the optimal number and position of the measurement devices needed to operate management and control issues, such as energy dispatching and protection coordination, in modern electric distribution networks. The intelligent algorithm tested for IEEE and TNEB test systems.
Keywords :
distribution networks; optimisation; power meters; power system measurement; state estimation; IEEE test system; TNEB test system; control issue; differential evolution meter location; distribution state estimation; distribution system monitoring; electric distribution networks; energy dispatching; management issue; optimal meter placement; optimization algorithm; protection coordination; state estimator; Differential Evolution; Distribution System; Optimal Meter Placement; State Estimation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Sustainable Energy and Intelligent Systems (SEISCON 2011), International Conference on
Conference_Location :
Chennai
Type :
conf
DOI :
10.1049/cp.2011.0407
Filename :
6143355
Link To Document :
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