Automated hierarchy classification in utility monitoring systems
First Claim
1. A method of automatically learning relationships among N elements including a reference element arranged in a hierarchy in a radial distribution system, comprising:
- receiving from each of said elements at least one criterion associated with each of said elements;
calculating, using a correlation algorithm, a correlation coefficient between said reference element and every other element in said radial distribution system to produce N-1 correlation coefficients;
determining the highest correlation coefficient among said N-1 correlation coefficients; and
responsive to said determining, automatically interrelating the element associated with said highest correlation coefficient and said reference element.
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Abstract
An auto-learned hierarchy algorithm that learns the hierarchical layout of a power monitoring system. Historical power data from each meter is received and placed into a data table. The main is assumed to be at the top of the hierarchy and is designated as the reference. A check matrix is developed indicating whether a possible connection exists between each meter pair combination. A correlation coefficient matrix (CCM) is calculated based on the data table, and entries in which no connection is possible are zeroed. The column for the reference meter from the CCM is copied to a correlation reference array (CRA), and the meter having the highest correlation with the reference meter in the CRA is marked as connected to the reference meter in a connection table. That meter'"'"'s power is subtracted from the data table and the procedure is repeated until all meters have been analyzed.
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Citations
32 Claims
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1. A method of automatically learning relationships among N elements including a reference element arranged in a hierarchy in a radial distribution system, comprising:
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receiving from each of said elements at least one criterion associated with each of said elements;
calculating, using a correlation algorithm, a correlation coefficient between said reference element and every other element in said radial distribution system to produce N-1 correlation coefficients;
determining the highest correlation coefficient among said N-1 correlation coefficients; and
responsive to said determining, automatically interrelating the element associated with said highest correlation coefficient and said reference element. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method of automatically determining the hierarchy of monitoring devices arranged within a power monitoring system, wherein monitoring devices at the top of the hierarchy generally measure more power than monitoring devices lower on the hierarchy, comprising:
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receiving electrical parameter data from each monitoring device in said power monitoring system at periodic time intervals for a predetermined time period;
arranging said electrical parameter data into a data table that tabulates said electrical parameter data for each monitoring device at each of said periodic time intervals;
forming at least a portion of a correlation matrix that includes correlation coefficients between at least some combination pairs of said monitoring devices, said correlation coefficients being calculated according to a correlation algorithm; and
analyzing said correlation matrix to identify an interrelationship between a combination pair of said monitoring devices. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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26. A method of automatically determining how devices in a multi-level hierarchy are linked to one another, comprising:
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receiving data from at least some of said devices in said hierarchy, said data representing a unidirectional flow of a utility measured by said at least some of said devices; and
determining whether at least a first device and a second device are directly interlinked using a correlation algorithm that produces a correlation coefficient based on respective data from said first device and said second device. - View Dependent Claims (27, 28, 29, 30, 31, 32)
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Specification