Issue |
E3S Web Conf.
Volume 434, 2023
4th International Conference on Energetics, Civil and Agricultural Engineering (ICECAE 2023)
|
|
---|---|---|
Article Number | 01015 | |
Number of page(s) | 11 | |
Section | Energetics | |
DOI | https://doi.org/10.1051/e3sconf/202343401015 | |
Published online | 12 October 2023 |
Photovoltaic-based Distributed Generation Allocation in Distribution Network for Energy Loss Minimization
1 Tashkent State Technical University, 100095 Tashkent, Uzbekistan
2 Department of Electrical Engineering, Faculty of Engineering, Aswan University, 81542 Aswan, Egypt
3 Department of Electrical Engineering, University of Jaen, 23700 EPS Linares, Jaen, Spain
4 Department of Energy, Faculty of Energy and radio electronics, Jizzakh Polytechnic Institute, Jizzakh, Uzbekistan
* Corresponding author: hasanov6654525@mail.ru
Nowadays, there is a global consensus that integrating renewable energy sources (RESs) is highly needed to meet the increasing electricity demand and reduce the overall carbon footprint of energy production. However, large-scale integration of RES-based distributed generation (DG) units often poses several technical challenges in the system from stability, reliability, and power quality perspectives. However, these problems are usually mitigated by the optimal integration of DG units in the distribution networks (DNs). In this regard, the optimal sizing and placement of the DGs are crucial. Otherwise, network performance will deteriorate. This paper proposes to apply a novel population-based technique called the dung beetle optimization (DBO) algorithm for the optimal allocation of Photovoltaic (PV) based DG units to minimize total active energy loss subject to equality and inequality constraints in the DN. A DBO is inspired by the behaviours of dung beetles, including ball-rolling, dancing, foraging, stealing, and reproducing. A standard 33-bus system has been used to demonstrate the proposed method's effectiveness. The simulation results and comparison with other techniques demonstrate our proposed approach's significant energy loss reduction and a suitable voltage profile.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.