• No results found

Smart Algorithms to Control a Variable Speed Wind Turbine

N/A
N/A
Protected

Academic year: 2020

Share "Smart Algorithms to Control a Variable Speed Wind Turbine"

Copied!
8
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 1. Two-mass model of wind turbine.
Fig. 2. Basic configuration of wind turbine system.
Fig. 4. The architecture of the proposed fuzzy neural network for the prediction of uncertain part.
Fig. 5. Wind speed profile of 7 m/s mean value.
+3

References

Related documents

The sum of symmetric three-point 1-dependent nonidentically distributed random variables is approximated by a compound Poisson distribution.. The accuracy of approximation is

organic compounds using solid acid catalysts is more and more attention due to the numerousa. advantages such as cost-effectiveness,

Serial blood (two 2 mL samples for metformin and for remogliflozin etabonate and metabolites) were collected pre- dose, 0.25, 0.5, 0.75, 1, 1.5, 2, 3, 4, 6, 8, and 12 hours

When the FORMAT UNIT command is specified, the allocation of the alternate block to those defective sectors included in the defect lists (P, G, or D) is continued until all

DC2013-0099 Support to Regional Economic Integration Public sector policy and administrative management. 2013-03-19 Sydlige Afrika TANA Copenhagen Aps 249.804 DC2013-0100 Provision

Thus, in general, the most efficient particle for water splitting was 1.531201 BMJ24 Jeewanu (PUAC) produced in the PEM without NaCl under anoxygenic conditions as indicated by

Through the use of personas/scenarios at Microsoft for several years, we have found that personas have led to a more comprehensive understanding of the target customers'

lower RVP requirements are expected to have higher gasoline blendstock prices. 3.2.2 State Level Ethanol Incentives and Regulations. States currently employ numerous types