RAPAD - Real-time Accurate Performance Analysis of Data. [Applied to wind energy conversion systems]
- Colorado State University, Fort Collins, Colo.
- Rockwell International Corp., Los Angeles, Calif.
An innovative method for the real-time estimation of generic performance characteristics based on recursive least squares filtering is developed. After presenting the theoretical basis for the algorithm, its use is illustrated by applying it by computer simulation to a wind energy conversion system (WECS) whose true performance characteristics are assumed known. It is shown that good agreement between estimated and true performance is obtainable with as little as 1000 data samplings using a realistic level of instrumentation noise. This corresponds to approximately six days of WECS operation. The method is suitable for microprocessor implementation. This would result in the unique advantage of having a best estimate of system performance in real-time, thus alleviating labor-intensive and time-consuming data processing often necessary with conventional data acquisition procedures. Ongoing development, including implementation of the technique in conjunction with operational vertical and horizontal axis WEC systems, and optimization of the filter are discussed.
- OSTI ID:
- 5118735
- Report Number(s):
- CONF-791205-
- Journal Information:
- Am. Soc. Mech. Eng., (Pap.); (United States), Vol. 79-WA/SOL-1; Conference: ASME winter annual meeting, New York, NY, USA, 2 Dec 1979
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
WIND TURBINES
COMPUTERIZED SIMULATION
ALGORITHMS
COMPUTER CODES
EFFICIENCY
ELECTRIC GENERATORS
ENERGY CONVERSION
LEAST SQUARE FIT
MICROPROCESSORS
PERFORMANCE
REAL TIME SYSTEMS
RECURSION RELATIONS
COMPUTERS
CONVERSION
ELECTRONIC CIRCUITS
MACHINERY
MATHEMATICAL LOGIC
MAXIMUM-LIKELIHOOD FIT
MICROELECTRONIC CIRCUITS
NUMERICAL SOLUTION
SIMULATION
TURBINES
TURBOMACHINERY
170602* - Wind Energy Engineering- Turbine Design & Operation