Research Article |
Enhancement of Agriculture Feeder Performance by Optimal Sizing and Placing of Solar PV Tree through AEO-Based Optimization Technique
Author(s): Kamal Kumar U* and Varaprasad Janamala
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 11, Issue 3
Publisher : FOREX Publication
Published : 23 September 2023
e-ISSN : 2347-470X
Page(s) : 781-787
Abstract
Electrical demand, which makes up a large share of the overall power market, agriculture at the top of the list of priorities. To provide end users with a dependable and high-quality supply via various feeders and renewable energy sources, distribution generations are now being developed. In recent years, solar PV systems have been used to meet the demands of numerous applications, including boosting the efficiency of distribution networks. This paper presents the system with effective optimization method like Artificial Eco-System based Optimization Technique for identification of the best location to install distribution generation and the optimum size to minimize feeder losses. To meet service expectations, the integration of a solar PV system is swapped out for a solar tree in this suggested work. A 28-bus Indian agriculture feeder is considered for better understanding the proposed algorithm. MATLAB software is used for implementing the proposed optimization technique and CREO-2.0 is used for designing the 3-dimensional solar PV tree.
Keywords: Agriculture Feeder
, Renewable Energy
, Solar PV System
, Artificial Eco-System Algorithm
, Solar Tree
.
Kamal Kumar U*, Dept. of Electrical and Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore – 560 074, KA, India; Email: kamal.kumar@res.christuniversity.in
Varaprasad Janamala, Dept. of Electrical and Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore – 560 074, KA, India; Email: varaprasad.janamala@christuniveristy.in
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