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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
S. Masoud Barakati
University of Sistan and Baluchestan
Computer Science & IT

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Journal : TELKOMNIKA (Telecommunication Computing Electronics and Control)

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Improved Bacterial Foraging Algorithm for Optimum Economic Emission Dispatch with Wind Power Sajjad Farajianpour; Ali Mohammadi; Saeed Tavakoli; S. Masoud Barakati
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 10, No 4: December 2012
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v10i4.855

Abstract

In this paper, an improved bacterial foraging algorithm (IBFA) is employed to solve economic-emission 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 this, a modified BFA is proposed in reproduction step termed as Improved Baterial Foraging Algorithm (IBFA). EED is solved, with wind power plant and without it, subjected to couple of constraintsusing BFA an BFA in a comparative manner.Simulation results show enhancement in convergence accuracy with IBFA rather than conventional BFA.
Fluctuations Mitigation of Variable Speed Wind Turbine through Optimized Centralized Controller Ali Mohammadi; Sajjad Farajianpour; Saeed Tavakoli; S. Masoud Barakati
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 10, No 4: December 2012
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v10i4.859

Abstract

A wind energy conversion system (WECS) including a variable wind turbine in grid-connected mode is considered to control. In this paper, each component of WECS model is systematically presented and then the integrated overall model is validated.Regarding to nonlinear nature of WECS and the complex system structure as multiple-input multiple-output (MIMO), it is difficult to find a proper control strategy. To simplify the control design, a centralized controller, which is compatible with systematic modelling, is employed. In addition, to enhance the centralized controller performance, an optimization based on genetic algorithm (GA) is accomplished. Simulation results demonstate the effectivesness of the proposed control startegy to mitigation fluctuations.
Co-Authors Ali Mohammadi Saeed Tavakoli Sajjad Farajianpour