An Integrated Seamless Control Strategy for Distributed Generators Based on a Deep Learning Artificial Neural Network

Ahmed H. EL-Ebiary, Mahmoud A. Attia, Mostafa I. Marei and Mariam A. Sameh ()
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Ahmed H. EL-Ebiary: Department of Electrical Power & Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt
Mahmoud A. Attia: Department of Electrical Power & Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt
Mostafa I. Marei: Department of Electrical Power & Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt
Mariam A. Sameh: Electric Power Engineering Department, Faculty of Engineering, Future University in Egypt (FUE), New Cairo 11835, Egypt

Sustainability, 2022, vol. 14, issue 20, 1-14

Abstract: One of the challenges of inverter-based distributed generators (DGs) is to keep the voltage and frequency at their specified limits during transitions between grid-connected and islanded modes of operation. This paper presents an integrated seamless control strategy for inverter-based DGs to ensure smooth transitions between the different modes of operation. The proposed strategy is based on a deep learning neural network (DL-ANN) Proportional-Integral- Derivative (PID) controller to regulate the terminal voltage of the DG interface system. A feed-forward loop is integrated with the proposed strategy to mitigate grid harmonics by controlling the DG inverter to feed the harmonics components of non-linear loads without exceeding its capacity. Results are provided to evaluate the dynamic performance of the proposed unified control strategy under different disturbances. Finally, to demonstrate the superiority of the DL-ANN controller, a comparison is carried out with the conventional Proportional-Integral (PI) controller and the set-membership affine projection adaptive (SMAPA)-based PI controller.

Keywords: distributed generation; grid-connection; islanding; seamless control; DL-ANN (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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