TY - GEN
T1 - Coordinated Optimal Control of Constrained DERs
AU - Harvey, Roland
AU - Qu, Zhihua
AU - Namerikawa, Toru
N1 - Funding Information:
R. Harvey and Z. Qu are with Department of Electrical and Computer Engineering, University of Central Florida, Orlando 32816, USA. T. Namerikawa is with Department of System Design Engineering, Keio University, Japan. Emails: rharvey2@knights.ucf.edu, qu@ucf.edu, and namerikawa@sd.keio.ac.jp. This work of the first two authors is supported in part by US National Science Foundation under grant ECCS-1308928, by US Department of Energy’s awards DE-EE0007998, DE-EE0007327 and DE-EE0006340, by US Department of Transportation’s award DTRT13-G-UTC51, by a Texas Instruments’ award, and by a Leidos’ grant.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/26
Y1 - 2018/10/26
N2 - In this paper, a coordinated optimal control is designed to simultaneously satisfy multiple power system objectives at the distribution network level. With high penetration of renewables, traditional generation and control may not be enough to compensate for intermittent changes in net load. Dynamic coordination of battery storage devices and demand response at aggregated distributed energy resource (DER) sites becomes necessary to maintain power system operation, however, each dynamic power component operates at different time scales. Frequency stabilization can be achieved by designing optimal controls for traditional generation, storage devices and demand response. The proposed optimal controls naturally render frequency separation of these load balancing mechanisms. Given a 24-hour net load forecast, optimal tracking control inputs are designed subject to constraints of selected system elements to ensure optimal performance of the power system. Simulation results are presented and discussed.
AB - In this paper, a coordinated optimal control is designed to simultaneously satisfy multiple power system objectives at the distribution network level. With high penetration of renewables, traditional generation and control may not be enough to compensate for intermittent changes in net load. Dynamic coordination of battery storage devices and demand response at aggregated distributed energy resource (DER) sites becomes necessary to maintain power system operation, however, each dynamic power component operates at different time scales. Frequency stabilization can be achieved by designing optimal controls for traditional generation, storage devices and demand response. The proposed optimal controls naturally render frequency separation of these load balancing mechanisms. Given a 24-hour net load forecast, optimal tracking control inputs are designed subject to constraints of selected system elements to ensure optimal performance of the power system. Simulation results are presented and discussed.
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U2 - 10.1109/CCTA.2018.8511494
DO - 10.1109/CCTA.2018.8511494
M3 - Conference contribution
AN - SCOPUS:85056832234
T3 - 2018 IEEE Conference on Control Technology and Applications, CCTA 2018
SP - 224
EP - 229
BT - 2018 IEEE Conference on Control Technology and Applications, CCTA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Conference on Control Technology and Applications, CCTA 2018
Y2 - 21 August 2018 through 24 August 2018
ER -
