A Neural Network-Based Model Reference Control Architecture for Oscillation Damping in Interconnected Power System

Waqar Uddin, Nadia Zeb, Kamran Zeb, Muhammad Ishfaq, Imran Khan, Saif Ul Islam, Ayesha Tanoli, Aun Haider, Hee-Je Kim and Gwan-Soo Park
Additional contact information
Waqar Uddin: School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea
Nadia Zeb: Department of Electrical Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22010, Pakistan
Kamran Zeb: School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea
Muhammad Ishfaq: School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea
Imran Khan: School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea
Saif Ul Islam: School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea
Ayesha Tanoli: Department of Electrical Engineering, University of Management and Technology, Lahore, Sialkot Campus, Sialkot 51040, Pakistan
Aun Haider: Department of Electrical Engineering, University of Management and Technology, Lahore, Sialkot Campus, Sialkot 51040, Pakistan
Hee-Je Kim: School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea
Gwan-Soo Park: School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea

Energies, 2019, vol. 12, issue 19, 1-15

Abstract: In this paper, a model reference controller (MRC) based on a neural network (NN) is proposed for damping oscillations in electric power systems. Variation in reactive load, internal or external perturbation/faults, and asynchronization of the connected machine cause oscillations in power systems. If the oscillation is not damped properly, it will lead to a complete collapse of the power system. An MRC base unified power flow controller (UPFC) is proposed to mitigate the oscillations in 2-area, 4-machine interconnected power systems. The MRC controller is using the NN for training, as well as for plant identification. The proposed NN-based MRC controller is capable of damping power oscillations; hence, the system acquires a stable condition. The response of the proposed MRC is compared with the traditionally used proportional integral (PI) controller to validate its performance. The key performance indicator integral square error (ISE) and integral absolute error (IAE) of both controllers is calculated for single phase, two phase, and three phase faults. MATLAB/Simulink is used to implement and simulate the 2-area, 4-machine power system.

Keywords: power oscillations; UPFC; non-linear control; neural network; model reference control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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