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Title: Data-based Aggregate Model of Refrigerators for Electric Power Grid Services

Abstract

Electrical power system stability under high penetration of intermittent renewable energy generation, such as wind and solar energy, has become a high concern. It is unpredictable and hard to control due to little inertial behavior characteristic to these generation resources. To help mitigate possibly undesirable frequency excursions, demand-side frequency control presents an emerging solution. By observing the frequency deviation, devices could switch operating modes for a short time to rebalance generation. To analyze device level control algorithms, aggregate models for their behavior are needed. Refrigerators are household devices that could help with load modulation. This paper uses real measured data to analyze the refrigerator behavior, learn about its operating mode and power consumption ranges. A Markov chain process is proposed to model the transition of a refrigerator population from one operating mode to another, such that the overall load is modulated according to the control input. The Markov-chain model can be used to design control so that the overall load is modulated according to the control input.

Authors:
ORCiD logo [1]; ORCiD logo [1];  [1]
  1. BATTELLE (PACIFIC NW LAB)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1603345
Report Number(s):
PNNL-SA-130434
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: Proceedings of the IEEE Power & Energy Society General Meeting (PESGM 2019), August 4-8, 2019, Atlanta, GA
Country of Publication:
United States
Language:
English
Subject:
Markov chain model, demand response, refrigerator, appliance, power system stability

Citation Formats

Marinovici, Laurentiu D., Hansen, Jacob, and Lian, Jianming. Data-based Aggregate Model of Refrigerators for Electric Power Grid Services. United States: N. p., 2019. Web. doi:10.1109/PESGM40551.2019.8973863.
Marinovici, Laurentiu D., Hansen, Jacob, & Lian, Jianming. Data-based Aggregate Model of Refrigerators for Electric Power Grid Services. United States. doi:10.1109/PESGM40551.2019.8973863.
Marinovici, Laurentiu D., Hansen, Jacob, and Lian, Jianming. Mon . "Data-based Aggregate Model of Refrigerators for Electric Power Grid Services". United States. doi:10.1109/PESGM40551.2019.8973863. https://www.osti.gov/servlets/purl/1603345.
@article{osti_1603345,
title = {Data-based Aggregate Model of Refrigerators for Electric Power Grid Services},
author = {Marinovici, Laurentiu D. and Hansen, Jacob and Lian, Jianming},
abstractNote = {Electrical power system stability under high penetration of intermittent renewable energy generation, such as wind and solar energy, has become a high concern. It is unpredictable and hard to control due to little inertial behavior characteristic to these generation resources. To help mitigate possibly undesirable frequency excursions, demand-side frequency control presents an emerging solution. By observing the frequency deviation, devices could switch operating modes for a short time to rebalance generation. To analyze device level control algorithms, aggregate models for their behavior are needed. Refrigerators are household devices that could help with load modulation. This paper uses real measured data to analyze the refrigerator behavior, learn about its operating mode and power consumption ranges. A Markov chain process is proposed to model the transition of a refrigerator population from one operating mode to another, such that the overall load is modulated according to the control input. The Markov-chain model can be used to design control so that the overall load is modulated according to the control input.},
doi = {10.1109/PESGM40551.2019.8973863},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {9}
}

Conference:
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