Optimization Technique for Dynamic Voltage Response Improvement in a Fixed Speed Wind Farm with PIA Controller

Othman. A. Omar*, Niveen M. Badra**, Mahmoud Abdallah Attia***
* Teaching Assistant, Department of Engineering Physics and Mathematics, Faculty of Engineering, Ain Shams University, Egypt.
** Head, Department of Engineering Physics and Mathematics, Faculty of Engineering, Ain Shams University, Egypt.
*** Assistant Professor, Department of Electric Power and Machines, Faculty of Engineering, Ain Shams University, Egypt.
Periodicity:February - April'2017
DOI : https://doi.org/10.26634/jic.5.2.13497

Abstract

Renewable energy resources are the new generation challenges all over the world. The stochastic nature of these resources is considered as a barrier against using of them. This nature causes a lot of disturbances for power system operation. Also the stochastic nature of wind generation affects the power quality and the reliability of the system. FACTs devices are used in several researches to enhance the renewable energy generators specially wind generators to compensate its stochastic nature. In this paper, Shunt FACTs devices are used to enhance the dynamic response of voltage under the disturbance caused by wind generator. Proportional-Integral-Acceleration (PIA) as a new controller in this application is studied to enhance the performance of FACTs devices associated with renewable energy resources. Harmony Search Algorithm (HSA) optimization technique is used to tune the parameters of the controller. Finally, comparison of the PIA controller is carried out with the classical Proportional-Integral controller (PI) to verify the effectiveness of the PIA to enhance the power system operation with stochastic wind generator nature.

Keywords

Optimization, Renewable Energy, Fixed Speed Wind Turbines, FACTs, PIA Control, HSA.

How to Cite this Article?

Omar, O.A., Badra, N.M., and Attia, M.A. (2017). Optimization Technique for Dynamic Voltage Response Improvement in a Fixed Speed Wind Farm With PIA Controller. i-manager’s Journal on Instrumentation and Control Engineering, 5(2), 1-7. https://doi.org/10.26634/jic.5.2.13497

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