LAPSE:2023.19340
Published Article
LAPSE:2023.19340
Modified Dragonfly Optimisation for Distributed Energy Mix in Distribution Networks
March 9, 2023
This article presents a two-stage optimization model aiming to determine optimal energy mix in distribution networks, i.e., battery energy storage, fuel cell, and wind turbines. It aims to alleviate the impact of high renewable penetration on the systems. To solve the proposed complex optimization model, a standard variant of the dragonfly algorithm (DA) has been improved and then applied to find the optimal mix of distributed energy resources. The suggested improvements are validated before their application. A heuristic approach has also been introduced to solve the second stage problem that determines the optimal power dispatch of battery energy storage as per the size suggested by the first stage. The proposed framework was implemented on a benchmark 33-bus and a practical Indian 108-bus distribution network over different test cases. The proposed model for energy mix and modified DA technique has significantly enhanced the operational performance of the network in terms of average annual energy loss reduction, node voltage profiles, and demand fluctuation caused by renewables.
Keywords
battery energy storage system, distribution networks, Fuel Cells, Optimization, wind turbines
Suggested Citation
Singh P, Meena NK, Yang J, Bishnoi SK, Vega-Fuentes E, Lou C. Modified Dragonfly Optimisation for Distributed Energy Mix in Distribution Networks. (2023). LAPSE:2023.19340
Author Affiliations
Singh P: Department of Electrical Engineering, Rajasthan Technical University, Kota 324010, India; Department of Electrical Engineering, Government Women Engineering College, Ajmer 305002, India [ORCID]
Meena NK: College of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK [ORCID]
Yang J: James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK [ORCID]
Bishnoi SK: Department of Electronics and Communication, Government Engineering College, Bikaner 334004, India [ORCID]
Vega-Fuentes E: James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK [ORCID]
Lou C: James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK [ORCID]
Journal Name
Energies
Volume
14
Issue
18
First Page
5690
Year
2021
Publication Date
2021-09-10
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14185690, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.19340
This Record
External Link

doi:10.3390/en14185690
Publisher Version
Download
Files
[Download 1v1.pdf] (364 kB)
Mar 9, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
99
Version History
[v1] (Original Submission)
Mar 9, 2023
 
Verified by curator on
Mar 9, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.19340
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version