A Hierarchical Framework for Demand-Side Frequency Control
Abstract
With large-scale plans to integrate renewable generation, more resources will be needed to compensate for the uncertainty associated with intermittent generation resources. Under such conditions, performing frequency control using only supply-side resources become not only prohibitively expensive but also technically difficult. It is therefore important to explore how a sufficient proportion of the loads could assume a routine role in frequency control to maintain the stability of the system at an acceptable cost. In this paper, a novel hierarchical decentralized framework for frequency based load control is proposed. The framework involves two decision layers. The top decision layer determines the optimal droop gain required from the aggregated load response on each bus using a robust decentralized control approach. The second layer consists of a large number of devices, which switch probabilistically during contingencies so that the aggregated power change matches the desired droop amount according to the updated gains. The proposed framework is based on the classical nonlinear multi-machine power system model, and can deal with timevarying system operating conditions while respecting the physical constraints of individual devices. Realistic simulation results based on a 68-bus system are provided to demonstrate the effectiveness of the proposed strategy.
- Authors:
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1159026
- Report Number(s):
- PNNL-SA-98607
TE1101000
- DOE Contract Number:
- AC05-76RL01830
- Resource Type:
- Conference
- Resource Relation:
- Conference: American Control Conference (ACC 2014), June 4-6, 2014, Portland, Oregon, 52-57
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Moya, Christian, Zhang, Wei, Lian, Jianming, and Kalsi, Karanjit. A Hierarchical Framework for Demand-Side Frequency Control. United States: N. p., 2014.
Web. doi:10.1109/ACC.2014.6859304.
Moya, Christian, Zhang, Wei, Lian, Jianming, & Kalsi, Karanjit. A Hierarchical Framework for Demand-Side Frequency Control. United States. https://doi.org/10.1109/ACC.2014.6859304
Moya, Christian, Zhang, Wei, Lian, Jianming, and Kalsi, Karanjit. 2014.
"A Hierarchical Framework for Demand-Side Frequency Control". United States. https://doi.org/10.1109/ACC.2014.6859304.
@article{osti_1159026,
title = {A Hierarchical Framework for Demand-Side Frequency Control},
author = {Moya, Christian and Zhang, Wei and Lian, Jianming and Kalsi, Karanjit},
abstractNote = {With large-scale plans to integrate renewable generation, more resources will be needed to compensate for the uncertainty associated with intermittent generation resources. Under such conditions, performing frequency control using only supply-side resources become not only prohibitively expensive but also technically difficult. It is therefore important to explore how a sufficient proportion of the loads could assume a routine role in frequency control to maintain the stability of the system at an acceptable cost. In this paper, a novel hierarchical decentralized framework for frequency based load control is proposed. The framework involves two decision layers. The top decision layer determines the optimal droop gain required from the aggregated load response on each bus using a robust decentralized control approach. The second layer consists of a large number of devices, which switch probabilistically during contingencies so that the aggregated power change matches the desired droop amount according to the updated gains. The proposed framework is based on the classical nonlinear multi-machine power system model, and can deal with timevarying system operating conditions while respecting the physical constraints of individual devices. Realistic simulation results based on a 68-bus system are provided to demonstrate the effectiveness of the proposed strategy.},
doi = {10.1109/ACC.2014.6859304},
url = {https://www.osti.gov/biblio/1159026},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jun 02 00:00:00 EDT 2014},
month = {Mon Jun 02 00:00:00 EDT 2014}
}