Application of proportional–integral–derivative controller for unified power flow controller

H. I. El-Emari *

Department of Electrical Power and Machines, Faculty of Engineering, Cairo University, Giza, Egypt

Abstract

FACTS devices are new technology that developed in recent years and have been used vastly in modern power electrical networks. These devices can improve the voltage profile and reduce the active power loss in large scale power networks. These devices can inject or absorb variable reactive power. The level of this injected or absorbed reactive power must be controlled to have normal and good conditions in the power network. PID controllers are a very popular and efficient controller that has a simple structure. In this paper application of the UPFC unit in the power network is proposed to enhance the voltage profile and reduce the power loss. In order to have good condition and performance, the manner of UPFC must be controlled. In the proposed method PID controller is proposed to control the UPFC. In the PID controller the free parameters have a vital role in its performance. Therefore in this study bee’s algorithm is used to find the optimum value of these parameters.  The bee’s algorithm is one of the best and rapid nature-based optimization algorithms that its capabilities are proven in many kinds of literature. The proposed system is tested real standard system and the obtained computer simulation results show that the proposed method has excellent performance.

Keywords

UPFC, Bee’s algorithm, Optimization, PID, Parameter

Digital Object Identifier (DOI)

https://doi.org/10.21833/AEEE.2019.09.001

Article history

Received 27 March 2019, Received in revised form 17 July 2019, Accepted 18 July 2019

Full text

DownloadAvailable in PDF
Portable Document Format

How to cite

El-Emari HI (2019). Application of proportional–integral–derivative controller for Unified power flow controller. Annals of Electrical and Electronic Engineering, 2(9): 1-5

References (7)

  1. Fuerte-Esquivel CR and Acha E (1997). Unified power flow controller: A critical comparison of Newton–Raphson UPFC algorithms in power flow studies. IEE Proceedings-Generation, Transmission and Distribution, 144(5): 437-444. https://doi.org/10.1049/ip-gtd:19971385   [Google Scholar]
  2. Gerbex S., Cherkaoui R, and Germond AJ (2001). Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms. IEEE Transactions on Power Systems, 16(3): 537-544. https://doi.org/10.1109/59.932292   [Google Scholar]
  3. Hingorani NG (1988). High power electronics and flexible AC transmission system. In Proceedings of the American Power Conference, USA. https://doi.org/10.1109/MPER.1988.590799   [Google Scholar]
  4. Karaboga D and Basturk B (2007). A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (ABC) algorithm. Journal of Global Optimization, 39(3): 459-471. https://doi.org/10.1007/s10898-007-9149-x   [Google Scholar]
  5. Karaboga D and Basturk B (2008). On the performance of artificial bee colony (ABC) algorithm. Applied Soft Computing, 8(1): 687-697. https://doi.org/10.1016/j.asoc.2007.05.007   [Google Scholar]
  6. Rao RS, Narasimham SVL, and Ramalingaraju M (2008). Optimization of distribution network configuration for loss reduction using artificial bee colony algorithm. International Journal of Electrical Power and Energy Systems Engineering, 1(2): 116-122.   [Google Scholar]
  7. Venkatesh P, Gnanadass R, and Padhy NP (2003). Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints. IEEE Transactions on Power systems, 18(2): 688-697. https://doi.org/10.1109/TPWRS.2003.811008   [Google Scholar]