Developing a Hybrid Optimization Algorithm for Optimal Allocation of Renewable DGs in Distribution Network

Ayman Awad, Hussein Abdel-Mawgoud, Salah Kamel, Abdalla A. Ibrahim and Francisco Jurado
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Ayman Awad: Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt
Hussein Abdel-Mawgoud: Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt
Salah Kamel: Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt
Abdalla A. Ibrahim: Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt
Francisco Jurado: Department of Electrical Engineering, University of Jaen, 23700 EPS Linares, Spain

Clean Technol., 2021, vol. 3, issue 2, 1-15

Abstract: Distributed generation (DG) is becoming a prominent key spot for research in recent years because it can be utilized in emergency/reserve plans for power systems and power quality improvement issues, besides its drastic impact on the environment as a greenhouse gas (GHG) reducer. For maximizing the benefits from such technology, it is crucial to identify the best size and location for DG that achieves the required goal of installing it. This paper presents an investigation of the optimized allocation of DG in different modes using a proposed hybrid technique, the tunicate swarm algorithm/sine-cosine algorithm (TSA/SCA). This investigation is performed on an IEEE-69 Radial Distribution System (RDS), where the impact of such allocation on the system is evaluated by NEPLAN software.

Keywords: power losses; power system optimization; PV curves; DG; TSA/SCA (search for similar items in EconPapers)
JEL-codes: Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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