-optimal transactive control of electric power regulation from fast-acting demand response in the presence of high renewables
Abstract
Here, this paper presents an -optimal power regulation scheme for balancing authorities to provide regulation services using both generation and load resources in the presence of a significant amount of intermittent renewable generation. The optimal controller is designed to minimize the loss of total economic surplus due to deviations from the schedule because of generation contingencies. The results show that the optimal controller outperforms the conventional ACE control policy by (1) providing faster return to the schedule under varying demand response levels, (2) reducing the cost of using reserve units for regulation services, and (3) minimizing deviations from the global surplus-maximizing schedule.
- Authors:
-
- SLAC National Accelerator Lab., Menlo Park, CA (United States); Univ. of Victoria, Victoria, BC (Canada)
- Univ. of Victoria, Victoria, BC (Canada)
- Univ. of Victoria, Victoria, BC (Canada); King Abdulaziz Univ., Jeddah (Saudi Arabia)
- Publication Date:
- Research Org.:
- SLAC National Accelerator Lab., Menlo Park, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); USDOE Laboratory Directed Research and Development (LDRD) Program
- OSTI Identifier:
- 1414740
- Alternate Identifier(s):
- OSTI ID: 1549819
- Report Number(s):
- SLAC-PUB-16898
Journal ID: ISSN 0306-2619
- Grant/Contract Number:
- AC02-76SF00515; AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Applied Energy
- Additional Journal Information:
- Journal Volume: 205; Journal Issue: C; Journal ID: ISSN 0306-2619
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; Transactive control; Power system control; Frequency regulation; Renewable intermittency; Demand response
Citation Formats
Chassin, David P., Behboodi, Sahand, Shi, Yang, and Djilali, Ned. H2-optimal transactive control of electric power regulation from fast-acting demand response in the presence of high renewables. United States: N. p., 2017.
Web. doi:10.1016/j.apenergy.2017.07.099.
Chassin, David P., Behboodi, Sahand, Shi, Yang, & Djilali, Ned. H2-optimal transactive control of electric power regulation from fast-acting demand response in the presence of high renewables. United States. https://doi.org/10.1016/j.apenergy.2017.07.099
Chassin, David P., Behboodi, Sahand, Shi, Yang, and Djilali, Ned. Fri .
"H2-optimal transactive control of electric power regulation from fast-acting demand response in the presence of high renewables". United States. https://doi.org/10.1016/j.apenergy.2017.07.099. https://www.osti.gov/servlets/purl/1414740.
@article{osti_1414740,
title = {H2-optimal transactive control of electric power regulation from fast-acting demand response in the presence of high renewables},
author = {Chassin, David P. and Behboodi, Sahand and Shi, Yang and Djilali, Ned},
abstractNote = {Here, this paper presents an H2-optimal power regulation scheme for balancing authorities to provide regulation services using both generation and load resources in the presence of a significant amount of intermittent renewable generation. The optimal controller is designed to minimize the loss of total economic surplus due to deviations from the schedule because of generation contingencies. The results show that the optimal controller outperforms the conventional ACE control policy by (1) providing faster return to the schedule under varying demand response levels, (2) reducing the cost of using reserve units for regulation services, and (3) minimizing deviations from the global surplus-maximizing schedule.},
doi = {10.1016/j.apenergy.2017.07.099},
journal = {Applied Energy},
number = C,
volume = 205,
place = {United States},
year = {Fri Aug 04 00:00:00 EDT 2017},
month = {Fri Aug 04 00:00:00 EDT 2017}
}
Free Publicly Available Full Text
Publisher's Version of Record
Other availability
Cited by: 11 works
Citation information provided by
Web of Science
Web of Science
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.