Performance Evaluation of the ZIP Model-Phaselet Frame Approach for Identifying Appliances in Residential Loads

• Published in: IEEE transactions on industry applications Vol. 52; no. 4; pp. 3408 - 3421
• Main Authors: Pijnenburg, Petrus, Saleh, S. A., McGaw, Peter
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Constants; Construction; Demand; Digital filters; Frames; Home appliances; Household appliances; Iterative methods; Load management; Load modeling; load monitoring; Mathematical model; Monitoring; Monitors; Newton iterations; phaselet analysis; Power demand; Reactive power; residential loads (RSLs); smart grid functions
• ISSN: 0093-9994; 1939-9367
• DOI: 10.1109/TIA.2016.2535268

This paper presents the analysis and development of a new approach to monitor and update the ON-OFF status of appliances in residential loads (RSLs). The proposed approach is structured to employ power meter readings P to determine the values for the magnitude |S̅| and phase θ of the apparent power. The value of |S̅|, associated with a value of P, is determined using Newton iterations, where a value of θ is calculated using six phaselet frames during each iteration. Once the iterations converge, the values of P and θ are used to construct the ZIP model (polynomial model) for the RSL, from which P is provided. The constructed ZIP model provides the values for the constants K pf and K qf that relate the change in frequency to the active and reactive power demands of the modeled load. The obtained values of K pf and K qf are compared to standardized values that are defined for each appliance in an RSL. The ZIP model-phaselet frame approach is implemented as an algorithm for monitoring the ON-OFF status of appliances in RSLs. The algorithm for the proposed approach is developed without a need to collect data for training. Test results show simple implementation, good accuracy, and insensitivity to variations in energy demands.