TY - GEN
T1 - Dissipativity-based design of local and wide-area der controls for large-scale power systems with high penetration of renewables
AU - Harvey, Roland
AU - Xu, Ying
AU - Qu, Zhihua
AU - Namerikawa, Toru
N1 - Funding Information:
R. Harvey, Y. Xu, 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, ying.xu@ucf.edu, qu@ucf.edu, and and namerikawa@sd.keio.ac.jp. This work of the first three 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:
© 2017 IEEE.
PY - 2017/10/6
Y1 - 2017/10/6
N2 - In this paper, an integrated and modular control design is developed for distributed energy resources (DERs) to stabilize power systems and minimize effects of load variations and intermittent generation. Traditionally, the droop control of each generator (or virtual power plant) works as a local feedback loop to track frequency during load disturbance, whereas automatic generation control (AGC) calculates control signals and sends them to each generator with the goal of matching the total generation and load in the overall system. The droop control and the AGC work separately, therefore the two controls often conflict each other. The proposed design enables us to modularly synthesize an integrated control for each of the DERs by using both local and wide-area measurements so that the controls work together in enhancing stability and performance of the power system. The design methodology admits the full nonlinear power flow equations, and it results in a data-driven control that in real-time takes into account the nonlinear power flow interactions (in terms of current angle measurements) and adaptively adjusts parameters of the controls that operate the DERs. The design framework uses the concept of passivity-short systems to analyze individual DERs and quantify their dynamic responses in such a way that the resulting system-wide implementation becomes plug-and-play. Simulations are done to demonstrate the effectiveness of the proposed methodology and design.
AB - In this paper, an integrated and modular control design is developed for distributed energy resources (DERs) to stabilize power systems and minimize effects of load variations and intermittent generation. Traditionally, the droop control of each generator (or virtual power plant) works as a local feedback loop to track frequency during load disturbance, whereas automatic generation control (AGC) calculates control signals and sends them to each generator with the goal of matching the total generation and load in the overall system. The droop control and the AGC work separately, therefore the two controls often conflict each other. The proposed design enables us to modularly synthesize an integrated control for each of the DERs by using both local and wide-area measurements so that the controls work together in enhancing stability and performance of the power system. The design methodology admits the full nonlinear power flow equations, and it results in a data-driven control that in real-time takes into account the nonlinear power flow interactions (in terms of current angle measurements) and adaptively adjusts parameters of the controls that operate the DERs. The design framework uses the concept of passivity-short systems to analyze individual DERs and quantify their dynamic responses in such a way that the resulting system-wide implementation becomes plug-and-play. Simulations are done to demonstrate the effectiveness of the proposed methodology and design.
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U2 - 10.1109/CCTA.2017.8062775
DO - 10.1109/CCTA.2017.8062775
M3 - Conference contribution
AN - SCOPUS:85047614036
T3 - 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
SP - 2180
EP - 2187
BT - 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
Y2 - 27 August 2017 through 30 August 2017
ER -