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UT Power Engineering Laboratory - "Powering the Future "

Residential Load Modeling

Team

Brandon Johnson
Michael Starke

Description

Future residential homes are expected to incorporate distributed generation systems such as small-scale wind turbines and rooftop photovoltaic systems along with electric vehicles that can be used for demand response and load factor control. Capturing potential technical barriers requires that time-domain models which act within the time-scales of communication and power system be created. This is a key element in understanding the impact of different control strategies as well as establishing a base-line tool for future residential load modeling incorporation into larger power system models.

The first phase of the roadmap work will involve developing electrical models of appliances in MATLAB and Simulink. These models will provide a complete representation of future residential homes in the time domains of milliseconds to seconds and will aid in understanding the control needs of demand response and load factor improvement for future building energy management systems. Modeling efforts will focus on the larger power consuming appliances such as clothes washer, dryer, range/oven, dishwasher, water heater, HVAC (Heating, ventilation, and air conditioning) systems, lighting, and electronic loads.

Models will be constructed in MATLAB and Simulink with the ability to combine all of the separate models into a single simulation. In ensuring model validation as well as establishing a base case, high resolution metering will be installed in the ZEBRAlliance research homes in Oak Ridge, TN. This will provide detailed information such as current and voltage characteristics at high sampling rates suitable for the time domain models required in this study. The completed residential load models will be validated against these measurements to confirm their accuracy.






Contact Information
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Contact Information

Min H. Kao Engineering Building
http://power.eecs.utk.edu/

Website Master:
Jessica Boles
Email: jboles@utk.edu