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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationDynamic 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
PublisherAmerican Society of Mechanical Engineers
Volume2
ISBN (Electronic)9780791846193
DOIs
StatePublished - Jan 1 2014
EventASME 2014 Dynamic Systems and Control Conference, DSCC 2014 - San Antonio, United States
Duration: Oct 22 2014Oct 24 2014

Other

OtherASME 2014 Dynamic Systems and Control Conference, DSCC 2014
CountryUnited States
CitySan Antonio
Period10/22/1410/24/14

Fingerprint

Testbeds
Wind turbines
Hydraulics
Pumps
Offshore wind turbines
Lyapunov functions
Compressors
Dynamic models
Controllers
Electric potential
Air
Compressed air energy storage

Cite this

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 (Vol. 2). [6099] 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. Vol. 2 American Society of Mechanical Engineers, 2014. 6099.

Research output: Chapter in Book/Report/Conference proceedingConference 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. vol. 2, 6099, 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. Vol. 2. American Society of Mechanical Engineers. 2014. 6099 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. Vol. 2 American Society of Mechanical Engineers, 2014.
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