Design, modeling and control of a lab-scale compressed air energy storage (CAES) testbed for wind turbines with simulated input and demand power variability

Farzad A. Shirazi; Pieter Gagnon; Perry Y. Li; James D. Van De Ven

doi:10.1115/DSCC2014-6099

Design, modeling and control of a lab-scale compressed air energy storage (CAES) testbed for wind turbines with simulated input and demand power variability

Farzad A. Shirazi, Pieter Gagnon, Perry Y. Li, James D. Van De Ven

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A Compressed Air Energy Storage (CAES) test-bed has been developed to experimentally demonstrate the energy stor-age concept proposed in [1] for offshore wind turbines. The design of the testbed has been adapted to the available air com-pression/expansion technology. The main components of the system consist of an open accumulator, a hydraulic pump-motor, air compressor/expander, an electrical generator and load, a differential gearbox and a hydraulic control valve. These components are first characterized and then a dynamic model of the system has been developed. The objective is to regulate the output current/voltage of the generator while maintaining a constant accumulator pressure in the presence of input and demand power variations in the system. This is achieved by Proportional-Integrator (PI) control of pump-motor displacement and field current of the generator. The sta-bility of these controllers has been proved using an energy-based Lyapunov function. Experimental results for storage and regeneration modes have been presented showing excellent performance of the system in response to power disturbances.

Original language	English (US)
Title of host publication	Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing
Publisher	American Society of Mechanical Engineers
ISBN (Electronic)	9780791846193
DOIs	https://doi.org/10.1115/DSCC2014-6099
State	Published - 2014
Event	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014 - San Antonio, United States Duration: Oct 22 2014 → Oct 24 2014

Publication series

Name	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Volume	2

Other

Other	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Country	United States
City	San Antonio
Period	10/22/14 → 10/24/14

Bibliographical note

Publisher Copyright:
Copyright © 2014 by ASME.

Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.

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Shirazi, F. A., Gagnon, P., Li, P. Y., & Van De Ven, J. D. (2014). Design, modeling and control of a lab-scale compressed air energy storage (CAES) testbed for wind turbines with simulated input and demand power variability. In Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing [6099] (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014; Vol. 2). American Society of Mechanical Engineers. https://doi.org/10.1115/DSCC2014-6099

Design, modeling and control of a lab-scale compressed air energy storage (CAES) testbed for wind turbines with simulated input and demand power variability. / Shirazi, Farzad A.; Gagnon, Pieter; Li, Perry Y.; Van De Ven, James D.

Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing. American Society of Mechanical Engineers, 2014. 6099 (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shirazi, FA, Gagnon, P, Li, PY & Van De Ven, JD 2014, Design, modeling and control of a lab-scale compressed air energy storage (CAES) testbed for wind turbines with simulated input and demand power variability. in Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing., 6099, ASME 2014 Dynamic Systems and Control Conference, DSCC 2014, vol. 2, American Society of Mechanical Engineers, ASME 2014 Dynamic Systems and Control Conference, DSCC 2014, San Antonio, United States, 10/22/14. https://doi.org/10.1115/DSCC2014-6099

Shirazi FA, Gagnon P, Li PY , Van De Ven JD. Design, modeling and control of a lab-scale compressed air energy storage (CAES) testbed for wind turbines with simulated input and demand power variability. In Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing. American Society of Mechanical Engineers. 2014. 6099. (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014). https://doi.org/10.1115/DSCC2014-6099

Shirazi, Farzad A. ; Gagnon, Pieter ; Li, Perry Y. ; Van De Ven, James D. / Design, modeling and control of a lab-scale compressed air energy storage (CAES) testbed for wind turbines with simulated input and demand power variability. Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing. American Society of Mechanical Engineers, 2014. (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014).

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abstract = "A Compressed Air Energy Storage (CAES) test-bed has been developed to experimentally demonstrate the energy stor-age concept proposed in [1] for offshore wind turbines. The design of the testbed has been adapted to the available air com-pression/expansion technology. The main components of the system consist of an open accumulator, a hydraulic pump-motor, air compressor/expander, an electrical generator and load, a differential gearbox and a hydraulic control valve. These components are first characterized and then a dynamic model of the system has been developed. The objective is to regulate the output current/voltage of the generator while maintaining a constant accumulator pressure in the presence of input and demand power variations in the system. This is achieved by Proportional-Integrator (PI) control of pump-motor displacement and field current of the generator. The sta-bility of these controllers has been proved using an energy-based Lyapunov function. Experimental results for storage and regeneration modes have been presented showing excellent performance of the system in response to power disturbances.",

author = "Shirazi, {Farzad A.} and Pieter Gagnon and Li, {Perry Y.} and {Van De Ven}, {James D.}",

note = "Publisher Copyright: Copyright {\textcopyright} 2014 by ASME. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; ASME 2014 Dynamic Systems and Control Conference, DSCC 2014 ; Conference date: 22-10-2014 Through 24-10-2014",

year = "2014",

doi = "10.1115/DSCC2014-6099",

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Design, modeling and control of a lab-scale compressed air energy storage (CAES) testbed for wind turbines with simulated input and demand power variability

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