NDLI: A GA-based method for optimizing topological observability index in electric power networks

Content Provider	IEEE Xplore Digital Library
Author	Mori, H.
Copyright Year	1994
Description	Author affiliation: Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan (Mori, H.)
Abstract	This paper proposes a topological observability index for power system static state estimation. Topology observability is equivalent to the existence of full-rank spanning trees in a network representing meter allocation. The proposed index may be expressed as the total number of the trees. In order to enhance topological observability, it is necessary to optimize the index with a given set of measurements. Since the problem of the index optimization may be described as one of integer programming with a nonlinear discontinuous complicated cost function, the conventional methods do not allow us to provide the solution. A genetic algorithm (GA) is one of promising technologies for complicated optimization problems. In this paper, GA is used to solve the problem.<>
Starting Page	565
Ending Page	568
File Size	295790
Page Count	4
File Format	PDF
ISBN	0780318994
DOI	10.1109/ICEC.1994.349998
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-27
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization methods Observability Intelligent networks State estimation Cost function Power system measurements Gain measurement Algorithm design and analysis Noise measurement Power systems
Content Type	Text
Resource Type	Article

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