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Title: Automatic construction of finite state load-behavior models

Conference ·
OSTI ID:192110

A new tool is presented which analyzes the behavior of an operating electrical load in a novel manner: by automatically describing it with a finite-state model of its control structure. A personal-computer-based system is presented which collects samples of real and reactive power consumption over time, and automatically learns the control structure of the load in real time, drawing its finite-state diagram. The system also reports the load`s state at each point in time, the total time spent in each state, and total energy consumption for each of the states. The capabilities of the system are demonstrated with examples in which the multi-state operating structure of consumer appliances and other electrical systems are determined from monitored power measurements. For example, using a sensor placed at the wall plug of a refrigerator, a finite state diagram with on, off, and defrost states is automatically drawn on the computer screen. Plugging in a washing machine or dish- washer instead reveals the fill, rinse, spin, dry or other states, and how they connect with each other in that particular appliance. Statistics of state durations and energy consumption in each state are also reported. These methods can be applied to energy monitoring, fault monitoring, fault analysis, and power quality analysis of electrical machinery and systems. Another application is to extend nonintrusive load monitoring techniques to multi-state appliances. Although only tested on residential loads and consumer appliances so far, the underlying methods should also work on commercial and industrial loads, e.g., HVAC control systems.

OSTI ID:
192110
Report Number(s):
CONF-940129-; TRN: 96:001037-0049
Resource Relation:
Conference: International symposium on distribution, automation and demand-side management, Orlando, FL (United States), 17-20 Jan 1994; Other Information: PBD: 1994; Related Information: Is Part Of Fourth international symposium on distribution automation and demand side management (DA/DSM 94); PB: 747 p.
Country of Publication:
United States
Language:
English