Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems-Reference-Cited by-同舟云学术

Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems

Published:2023-01-01 Issue:1 Volume:32 Page:
ISSN:2191-026X
Container-title:Journal of Intelligent Systems
language:en
Short-container-title:

Author:

Salman Ihsan¹,Saffer Khalid Mohammed²,Safi Hayder H.³,Mostafa Salama A.⁴,Khalaf Bashar Ahmad⁵

Affiliation:

1. Computer Department, College of Basic Education, University of Diyala , 32001 , Diyala , Iraq

2. Computer Department, College of Science, University of Diyala , 32001 , Diyala , Iraq

3. Computer Department, College of Basic Education, Mustansiriyah University , 10001 , Baghdad , Iraq

4. Department of Software Engineering, Faculty of Computer Science and Information Technology, University Tun Hussein Onn Malaysia , 86400 , Johor , Malaysia

5. Department of Medical Instruments Engineering Techniques, Bilad Alrafidain University College , 32001 , Diyala , Iraq

Abstract

Abstract The efficiency of distribution networks is hugely affected by active and reactive power flows in distribution electric power systems. Currently, distributed generators (DGs) of energy are extensively applied to minimize power loss and improve voltage deviancies on power distribution systems. The best position and volume of DGs produce better power outcomes. This work prepares a new hybrid SSA–GWO metaheuristic optimization algorithm that combines the salp swarm algorithm (SSA) and the gray wolf optimizer (GWO) algorithm. The SSA–GWO algorithm ensures generating the best size and site of one and multi-DGs on the radial distribution network to decrease real power losses (RPL) (kW) on lines and resolve voltage deviancies. Our novel algorithm is executed on IEEE 123-bus radial distribution test systems. The results confirm the success of the suggested hybrid SSA–GWO algorithm compared with implementing the SSA and GWO individually. Through the proposed SSA–GWO algorithm, the study decreases the RPL and improves the voltage profile on distribution networks with multiple DGs units.

Publisher

Walter de Gruyter GmbH

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.degruyter.com/document/doi/10.1515/jisys-2022-0221/pdf

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