1. How to submit my research paper? What’s the process of publication of my paper?
The journal receives submitted manuscripts via email only. Please submit your research paper in .doc or .pdf format to the submission email: ijoee@ejournal.net.
2. Can I submit an abstract?
The journal publishes full research papers. So only full paper submission should be considered for possible publication...[Read More]

MPPT-Based Optimal NNC-hMOGA/BPA for Photovoltaic Water Pumping System

Rati Wongsathan1, Ronnachai Phatchaiyo2, and Isaravuth Seedadan2
1.Department of Electrical Engineering, Faculty of Engineering and Technology, North-Chiang Mai University, 169 Nong Kaew, Hang Dong, Chiang Mai, Thailand 50230
2.Department of Fundamental Engineering and Electrical Engineering, Faculty of Engineering and Technology North-Chiang Mai University, 169 Nong Kaew, Hang Dong, Chiang Mai, Thailand 50230
Abstract—This paper proposes a Neural Network Controller (NNC) design based on the Maximum Power Point Tracking (MPPT) power-converter technique, and applied to a Photovoltaic Water Pumping System (PVWPS). To maximize the energy utilization and motor-pump efficiency, the proposed MMPT-NNC is optimized and trained through the hybrid of multi-objective genetic algorithm and back-propagation algorithm or hMOGA/BPA. By means of the genetic optimization, the number of NN parameters and the computational complexity can be significantly reduced by 31% and 18%, respectively. After determining the solutions of NN and relevant parameters, the performances of MPPT controllers are evaluated in terms of the tradeoff between transient response, stabilized MPPT accuracy, and energy utilization efficiency, under weather variations. As results, the proposed NNC-hMOGA/BPA provides a faster response without overshoot, a higher MPPT accuracy with negligible oscillations, and 10-40% more energy utilization efficiency as compared to the non-optimal NNC, and Perturb and Observe (P&O) method. Consequently, the motor-pump efficiency is maximized, including water discharge. 

Index Terms—neural network controller, multi-objective genetic algorithm, Maximum Power Point Tracking (MPPT), Photovoltaic Water Pumping System (PVWPS)

Cite: Rati Wongsathan, Ronnachai Phatchaiyo, and Isaravuth Seedadan, "MPPT-Based Optimal NNC-hMOGA/BPA for Photovoltaic Water Pumping System," International Journal of Electrical Energy, Vol. 7, No. 2, pp. 51-57, December 2019. doi: 10.18178/ijoee.7.2.51-57

Copyright © 2012-2020 International Journal of Electrical Energy, All Rights Reserved