Bingchang Ni
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Bingchang Ni has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Constantinos Sourkounis
Research Group for Power Systems Technology and Power Mechatronics, Ruhr-University Bochum, Bochum, Germany
2 shared publications A. Broy
Ruhr University Bochum
1 shared publicationC. Sourkounis
Ruhr University Bochum
1 shared publication
Latest Publications
- 14 March 2011
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industry Applications
- Vol. 47 (3) , 1480-1486
Energy Yield and Power Fluctuation of Different Control Methods for Wind Energy Converters
With worldwide increasing shares of electricity generated by wind energy converters (WECs), their influence on the mains stability and contribution to reliable energy supply becomes more and more relevant. The system management of WECs has great influence on the power yield and the damping/amplification of wind-caused power fluctuations. This paper compares the performance of different control methods for WECs, regarding their energy yield and electrical power-output fluctuation at different wind conditions. The results show that the stochastic dynamic optimization control combines very high energy yield with the highest damping of fluctuations.
- 14 March 2011
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industry Applications
- Vol. 47 (3) , 1480-1486
Energy Yield and Power Fluctuation of Different Control Methods for Wind Energy Converters
With worldwide increasing shares of electricity generated by wind energy converters (WECs), their influence on the mains stability and contribution to reliable energy supply becomes more and more relevant. The system management of WECs has great influence on the power yield and the damping/amplification of wind-caused power fluctuations. This paper compares the performance of different control methods for WECs, regarding their energy yield and electrical power-output fluctuation at different wind conditions. The results show that the stochastic dynamic optimization control combines very high energy yield with the highest damping of fluctuations.
- 1 November 2006
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
- No. 1553572X,p. 4701-4706
Drive Train Control for Wind Energy Converters Based on Stochastic Dynamic Optmisation
A drive train control procedure for variable speed wind power converters, which minimises electric power fluctuations and mechanical peak loads in the drive train at maximum energy yield was developed. These aims are achieved by iterative adapting control based on stochastic dynamic optimisation. The results of the new control methods are compared to conventional control methods
- 1 November 2006
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
- No. 1553572X,p. 4701-4706
Drive Train Control for Wind Energy Converters Based on Stochastic Dynamic Optmisation
A drive train control procedure for variable speed wind power converters, which minimises electric power fluctuations and mechanical peak loads in the drive train at maximum energy yield was developed. These aims are achieved by iterative adapting control based on stochastic dynamic optimisation. The results of the new control methods are compared to conventional control methods