Modified Dragonfly Optimisation for Distributed Energy Mix in Distribution Networks

Pushpendra Singh, Nand Kishor Meena, Jin Yang, Shree Krishna Bishnoi, Eduardo Vega-Fuentes and Chengwei Lou
Additional contact information
Pushpendra Singh: Department of Electrical Engineering, Rajasthan Technical University, Kota 324010, India
Nand Kishor Meena: College of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK
Jin Yang: James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
Shree Krishna Bishnoi: Department of Electronics and Communication, Government Engineering College, Bikaner 334004, India
Eduardo Vega-Fuentes: James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
Chengwei Lou: James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK

Energies, 2021, vol. 14, issue 18, 1-19

Abstract: 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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/18/5690/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/18/5690/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:18:p:5690-:d:632536

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().