@inproceedings{a7777817c8b14be3ab2e27039e35782f,
title = "Rider optimization algorithm for optimal DG allocation in radial distribution network",
abstract = "Over the last few years, with a growing interest in energy security and climate change, the integration of renewable energy sources (RES) and energy efficiency, including power loss minimization, are the two pillars of sustainable energy solutions. This paper proposes an application for a recent optimization technique called Rider Optimization Algorithm (ROA). The ROA is inspired by a group of riders. The ROA is applied for determining the optimal allocation of Photovoltaic (PV) and Wind turbine (WT) based distributed generation (DG) units with the aim of minimizing the total power losses. In this regard, the most suitable nodes to place the DGs are identified using Power Loss Sensitivity Factor (PLSF) in order to reduce the search space, then ROA is applied to identify their optimal locations and sizes. The developed technique has been tested on the standard 33-node system. The results obtained by the developed technique are compared with those obtained by other well-known algorithms.",
keywords = "Distributed Generation, Power Loss Sensitivity Factor, Rider Optimization Algorithm, Total Power Loss",
author = "Mansur Khasanov and Salah Kamel and Hasanien, {Hany M.} and Ahmed Al-Durra",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 ; Conference date: 15-09-2020 Through 18-09-2020",
year = "2020",
month = sep,
day = "15",
doi = "10.1109/SPIES48661.2020.9243103",
language = "British English",
series = "2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "138--143",
booktitle = "2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020",
address = "United States",
}