Abstract

The power disturbances in the transmission system can be controlled and reduced by using unified power flow controller (UPFC). UPFC is used for controlling power flow in electrical transmission system. In this paper an algorithm for optimizing and smart controlling of UPFC, using an artificial neural network controller (ANNC) and a Binary Particle Swarm Optimization (BPSO), is proposed for smarting transmission system. The proposed algorithm controls the parameters of the UPFC. Therefore, a best performance of the UPFC is achieved and the transmission losses are minimized at different load conditions and variation of generation. Matlab is used for simulating the proposed algorithm and the test system. The results show that the UPFC using the proposed algorithm effectively act the proposed requirements.

Highlights

  • Flexible AC transmission systems (FACTS) are the attractive alternatives for increasing the transmission capacity at high transmission levels

  • Different control methods are introduced for Unified power flow controller (UPFC) as conventional control, genetic algorithm (GA) [4], fuzzy logic (FL), and artificial neural network control (ANNC) methods [5]

  • UPFC is given between the buses B5 and B2

Read more

Summary

INTRODUCTION

Flexible AC transmission systems (FACTS) are the attractive alternatives for increasing the transmission capacity at high transmission levels. Unified power flow controller (UPFC), as one of the FACTS devices, is considered to have the most powerful capability to control the power flow. UPFC is used for increasing system performance. UPFC is able to control the power flow, mitigate the system oscillations, regulate the voltage, and enhance the transient stability [1, 2]. Mathematical modeling of UPFC is developed for determining the dynamic behavior of emerging solution for the power flow problems in the system [2, 3]. For systems without power system stabilizers, power controller design is used to achieve effective damping. In [7] an adaptive ANNC is used for damping of low frequency oscillations of UPFC

CONTROL STRUCTURE OF UPFC
MODELING OF THE PROPOSED ALGORITHM
The proposed algorithm methodology
RESULTS AND DISCUSSION
CONCLUSIONS
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call