TY - GEN
T1 - An Assessment Method for Smart Grid Functions in Residential Loads
AU - Saleh, S. A.
AU - Cardenas-Barrera, J. L.
AU - Castillo-Guerra, E.
AU - Ahshan, R.
AU - Haj-Ahmed, M.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This paper presents a method for evaluating smart grid functions that are implemented to operate residential loads. The proposed assessment method is developed based on the energy not-served (ENS) determined at a point-of-supply feeding residential loads. Smart grid functions can operate energy storage appliances (household water heaters, air conditioners, and heating units) to store thermal energy during the daily off-peak-demand hours. The stored thermal energy is discharged during the daily peak-demand hours, thus reducing the power demands of residential loads. The differences in daily energy demands created by smart grid functions can provide an accurate assessment of the effectiveness of smart grid functions. The ENS-based method is tested for 200 residential households fed from 4 distribution transformers, and are operated by smart grid functions. In these tests, smart grid functions are implemented by the peak-demand management, direct load control, and demand response. Test results demonstrate the accuracy and simplicity of the ENS-based method to assess smart grid functions in terms of the ability to reduce the power demands of residential loads during peak-demand hours.
AB - This paper presents a method for evaluating smart grid functions that are implemented to operate residential loads. The proposed assessment method is developed based on the energy not-served (ENS) determined at a point-of-supply feeding residential loads. Smart grid functions can operate energy storage appliances (household water heaters, air conditioners, and heating units) to store thermal energy during the daily off-peak-demand hours. The stored thermal energy is discharged during the daily peak-demand hours, thus reducing the power demands of residential loads. The differences in daily energy demands created by smart grid functions can provide an accurate assessment of the effectiveness of smart grid functions. The ENS-based method is tested for 200 residential households fed from 4 distribution transformers, and are operated by smart grid functions. In these tests, smart grid functions are implemented by the peak-demand management, direct load control, and demand response. Test results demonstrate the accuracy and simplicity of the ENS-based method to assess smart grid functions in terms of the ability to reduce the power demands of residential loads during peak-demand hours.
KW - And load-side control actions
KW - Distribution power transformers
KW - Residential loads
KW - Smart grid functions
UR - http://www.scopus.com/inward/record.url?scp=85124696440&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124696440&partnerID=8YFLogxK
U2 - 10.1109/IAS48185.2021.9677251
DO - 10.1109/IAS48185.2021.9677251
M3 - Conference contribution
AN - SCOPUS:85124696440
T3 - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
BT - 2021 IEEE Industry Applications Society Annual Meeting, IAS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Industry Applications Society Annual Meeting, IAS 2021
Y2 - 10 October 2021 through 14 October 2021
ER -
