Improved Bacterial Foraging Algorithm for Optimum Economic Emission Dispatch with Wind Power

@inproceedings{Farajianpour2012ImprovedBF,
  title={Improved Bacterial Foraging Algorithm for Optimum Economic Emission Dispatch with Wind Power},
  author={Sajjad Farajianpour and Ali Mousavi Mohammadi and Saeed Tavakoli and S. Masoud Barakati},
  year={2012}
}
In this paper, an improved bacterial foraging algorithm (IBFA) is employed to solve economicemission dispatch (EED) problem. Regarding to more interest to renewable energy sources especially wind energy in recent years, it is necessary to use of incorporate wind power plants into EED problem. To consider realistic conditions, EED is included bi-objective of cost and NOx emission. The problems encountered with BFA are ineffective bacteria elimination resulted in poor performance. To overcome… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 15 references

Dynamic Adaptive Bacterial Foraging Algorithm for Optimum Economic Dispatch with Valve-point

  • I. A. Farhat, M. E. El-Hawary
  • Effects and Wind Power. IET Gener. Transm…
  • 2010
1 Excerpt

Dynamic Adaptive Bacterial Foraging Algorithm for Optimum Economic Dispatch with Valvepoint Effects and Wind Power

  • A. FarhatI., E. El-HawaryM.
  • IET Gener . Transm . Distrib .
  • 2010

Making Connections: Wind Generation Challenges and Progress

  • R. Zavadil, N. Miller, A. Ellis, E. Muljadi
  • IEEE Power Energy Mag
  • 2005
1 Excerpt

Windplant Integration

  • EA Demeo, W Grant, R. MilliganM., J. SchuergerM.
  • IEEE Power Energy Mag
  • 2005

Similar Papers

Loading similar papers…