Method and system for generating electric load models

Patent metadata

Field	Value
Publication number	US-9639643-B2
Application number	US-201414297748-A
Country	US
Kind code	B2
Filing date	Jun 6, 2014
Priority date	Jun 6, 2014
Publication date	May 2, 2017
Grant date	May 2, 2017

Abstract

A method for generating electric load models that includes receiving a plurality of measurements representative of input provided by a power source to electric loads is provided. The method includes generating a plurality of combination of model loads and assigning a contribution factor to each model load in each combination. The method further includes computing a match index for each combination for each measurement. The match index is computed by comparing a predicted output of each combination with an actual output generated by the electric loads for each input represented by each measurement. Furthermore, the method includes computing a first likelihood index for each combination based on the match index for each combination for the plurality of measurements. The method also includes computing a second likelihood index for each contribution factor in each combination based on the match index for each combination.

First claim

The invention claimed is:

1. A method for generating electric load models, the method comprising:
receiving a plurality of measurements representative of input provided by at least one power source to a plurality of electric loads at different time instances;
generating a plurality of combination of model loads and assigning a contribution factor to each model load in each combination;
computing a match index for each combination of model loads for each measurement by comparing a predicted output of each combination with an actual output generated by the plurality of electric loads for each input represented by each measurement, wherein the predicted output for each combination is generated by providing input equivalent to each measurement;
computing a first likelihood index for each combination based on the match index for each model load for the plurality of measurements; and
computing a second likelihood index for each contribution factor in each combination based on the match index for each combination for the plurality of measurements.

2. The method of claim 1 , wherein a first set of combinations is selected based on a set of user defined criteria pertaining to the first likelihood index and the second likelihood index.

3. The method of claim 1 , further comprising generating a graphical illustration of the first likelihood index and the second likelihood index for each combination.

4. The method of claim 1 , further comprising iteratively changing the contribution factor assigned to each model load in each combination till a difference between the predicted output for the combination and the actual output is minimum.

5. A system for generation of electric load models, comprising:
at least one input system configured to receive a plurality of measurements that are representative of input provided by a power source to a plurality of electrical loads at different time instances, wherein the measurements are collected from a power bus that couples the power source with the plurality of electrical loads;
a processing system configured to:
generate a plurality of combination of model loads and assigning a contribution factor to each model load in each combination;
compute a match index for each combination for each measurement by comparing a predicted output of each combination with an actual output generated by the plurality of electric loads for each input represented by each measurement, wherein the predicted output for each combination is generated by providing input equivalent to each measurement;
compute a first likelihood index for each combination based on the match index for each combination for the plurality of measurements; and
compute a second likelihood index for each contribution factor in each combination based on the match index for each combination for the plurality of measurements.

6. The system of claim 5 , wherein the processing system is further configured to iteratively change the contribution factor assigned to each model load in each combination till a difference between the predicted output for the combination and the actual output is minimum.

7. The system of claim 5 , further comprising a data repository configured to store a plurality of model load types.

8. The system of claim 7 , wherein the data repository is coupled with the input system and is configured to store information pertaining to inputs provided by the power source to the electric load at different time instances.

9. The system of claim 5 , wherein the processing system is further configured to select the first set of combinations based on the first likelihood index and the second likelihood index.

10. The system of claim 5 , further comprising a user interface configured to display a graphical illustration of the first likelihood index and the second likelihood index for each combination.

11. The system of claim 5 , further comprising a plurality of intelligent electronic devices (IEDs) coupled to the input system, wherein the plurality of IEDs are connected to the power bus and are configured to generate the plurality of measurements.

Assignees

• Gen Electric

Inventors

• Pan Yan
• Bose Sumit
• Ren Wei

Classifications

• G06F2119/06

  Power analysis or power optimisation · CPC title

• G01D4/002 Primary

  Remote reading of utility meters · CPC title

• G06F30/367 Primary

  Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods · CPC title

• G06Q50/06

  Energy or water supply · CPC title

• G06Q10/04

  Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202) · CPC title