skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Distributed Automatic Load-Frequency Control with Optimality in Power Systems

Abstract

With the increasing penetration of renewable energy resources, power systems face new challenges in balancing power supply and demand and maintaining the nominal frequency. This paper studies load control to handle these challenges. In particular, a fully distributed automatic load control algorithm, which only needs local measurement and local communication, is proposed. We prove that the control algorithm globally converges to an optimal operating point which minimizes the total disutility of users, restores the nominal frequency and the scheduled tie-line power flows, and respects the thermal constraints of transmission lines. It is also shown that the convergence still holds even when inaccurate system parameters are used in the control algorithm. Lastly, the effectiveness, optimality, and robustness of the proposed algorithm are demonstrated via numerical simulations.

Authors:
 [1]; ORCiD logo [2];  [1]
  1. Harvard University
  2. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1485552
Report Number(s):
NREL/CP-5D00-72928
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2018 IEEE Conference on Control Technology and Applications (CCTA), 21-24 August 2018, Copenhagen, Denmark
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; load control; frequency; optimality; power systems; distributed generation

Citation Formats

Chen, Xin, Zhao, Changhong, and Li, Na. Distributed Automatic Load-Frequency Control with Optimality in Power Systems. United States: N. p., 2018. Web. doi:10.1109/CCTA.2018.8511543.
Chen, Xin, Zhao, Changhong, & Li, Na. Distributed Automatic Load-Frequency Control with Optimality in Power Systems. United States. doi:10.1109/CCTA.2018.8511543.
Chen, Xin, Zhao, Changhong, and Li, Na. Mon . "Distributed Automatic Load-Frequency Control with Optimality in Power Systems". United States. doi:10.1109/CCTA.2018.8511543.
@article{osti_1485552,
title = {Distributed Automatic Load-Frequency Control with Optimality in Power Systems},
author = {Chen, Xin and Zhao, Changhong and Li, Na},
abstractNote = {With the increasing penetration of renewable energy resources, power systems face new challenges in balancing power supply and demand and maintaining the nominal frequency. This paper studies load control to handle these challenges. In particular, a fully distributed automatic load control algorithm, which only needs local measurement and local communication, is proposed. We prove that the control algorithm globally converges to an optimal operating point which minimizes the total disutility of users, restores the nominal frequency and the scheduled tie-line power flows, and respects the thermal constraints of transmission lines. It is also shown that the convergence still holds even when inaccurate system parameters are used in the control algorithm. Lastly, the effectiveness, optimality, and robustness of the proposed algorithm are demonstrated via numerical simulations.},
doi = {10.1109/CCTA.2018.8511543},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {10}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: