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 | |
| State | Published - Jan 1 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 |
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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. / 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
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TY - GEN
T1 - Design, modeling and control of a lab-scale compressed air energy storage (CAES) testbed for wind turbines with simulated input and demand power variability
AU - Shirazi, Farzad A.
AU - Gagnon, Pieter
AU - Li, Perry Y.
AU - Van De Ven, James D.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84929257122&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929257122&partnerID=8YFLogxK
U2 - 10.1115/DSCC2014-6099
DO - 10.1115/DSCC2014-6099
M3 - Conference contribution
AN - SCOPUS:84929257122
T3 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
BT - 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
PB - American Society of Mechanical Engineers
ER -