NDLI: Metering system planning for state estimation via evolutionary algorithm and H matrix

Content Provider	IEEE Xplore Digital Library
Author	Vigliassi, M.P. London, J.B.A. Delbem, A. Bretas, N.G.
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering of the EESC ¿ University of Sao Paulo, Brazil (Vigliassi, M.P.; London, J.B.A.; Bretas, N.G.) \|\| Computer System Department of the ICMC ¿ University of Sao Paulo, Brazil (Delbem, A.)
Abstract	This paper proposes a methodology for metering system planning for state estimation purposes. The proposed methodology is based on Evolutionary Algorithms (EAs) and on the analysis of the called H matrix. By analyzing the structure of this matrix, which is obtained via a triangular factorization of the Jacobian matrix, the proposed methodology can determine reliable metering systems (RMS). In this paper a metering system is considered as reliable if it is observable and has no critical measurements; critical sets neither critical Remote Terminal Units (RTU). An EA is developed to find the best RMS with minimal investment cost. The developed EA uses a fitness function that measures the installation cost of meters and RTUs from a given RMS. One relevant advantage of the proposed methodology is its strategy to obtain RMS. An indirect chromosome encoding representing a preferential order of meters installation combined with properties of the H matrix guarantees the proposed EA generates only feasible solutions, i.e. RMS. The proposed methodology was tested in the IEEE 6, 14, 30 and 118 bus systems, as well as in a real Brazilian system, providing to be reliable. The results obtained by the proposed methodology were compared with those obtained by other two existing methods for metering system planning.
Starting Page	1
Ending Page	6
File Size	170839
Page Count	6
File Format	PDF
ISBN	9781424422340
DOI	10.1109/PTC.2009.5281902
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-28
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	State estimation Evolutionary computation Power system planning Jacobian matrices Power system reliability Power system measurements Investments Power measurement Cost function Biological cells Indirect Encoding Power System State Estimation Metering System Evolutionary Algorithm
Content Type	Text
Resource Type	Article

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