Title :
Smart Metering of Variable Power Loads
Author :
Wichakool, Warit ; Remscrim, Zachary ; Orji, Uzoma A. ; Leeb, Steven B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
Nonintrusive load monitoring (NILM) seeks to determine the operation of individual loads in a building strictly from measurements made on an aggregate current signal serving a collection of loads. Great strides have been made in performing NILM for loads whose operating state can be represented by a finite-state machine, i.e., loads that consume discrete or distinct power levels for periods of time. It is much more difficult to track the operation of continuously variable loads that demand ever-changing power. These loads are becoming more prevalent as variable speed drives, daylight-responsive lighting, and other power electronic controlled loads emerge on the grid. This paper demonstrates a method for tracking the power consumption of variable demand loads nonintrusively. The method applies to any site where NILM might be of interest, including commercial and industrial buildings, residences, and transportation systems.
Keywords :
buildings (structures); daylighting; finite state machines; load (electric); monitoring; power consumption; power electronics; smart meters; smart power grids; variable speed drives; NILM; aggregate current signal; commercial buildings; daylight-responsive lighting; discrete power levels; distinct power levels; ever-changing power; finite-state machine; grid; individual load operation; industrial buildings; nonintrusive load monitoring; operating state; power consumption; power electronic controlled loads; smart metering; transportation systems; variable demand loads; variable power loads; variable speed drives; Discrete Fourier transforms; Equations; Harmonic analysis; Load modeling; Monitoring; Power demand; Vectors; Cyclotomic field; nonintrusive load monitoring (NILM); variable power load estimation; waveform-based modeling;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2014.2352648