Next Article in Journal
Mathematical Modelling of Transient Processes in an Asynchronous Drive with a Long Shaft Including Cardan Joints
Previous Article in Journal
Pro-Environmental Behaviour in the European Union Countries
Previous Article in Special Issue
Optimal Scheduling of Non-Convex Cogeneration Units Using Exponentially Varying Whale Optimization Algorithm
Article

Modified Dragonfly Optimisation for Distributed Energy Mix in Distribution Networks

1
Department of Electrical Engineering, Rajasthan Technical University, Kota 324010, India
2
Department of Electrical Engineering, Government Women Engineering College, Ajmer 305002, India
3
College of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK
4
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
5
Department of Electronics and Communication, Government Engineering College, Bikaner 334004, India
*
Authors to whom correspondence should be addressed.
Academic Editor: Alberto Geri
Energies 2021, 14(18), 5690; https://doi.org/10.3390/en14185690
Received: 17 August 2021 / Revised: 2 September 2021 / Accepted: 7 September 2021 / Published: 10 September 2021
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. View Full-Text
Keywords: battery energy storage system; distribution networks; fuel cells; optimization; wind turbines battery energy storage system; distribution networks; fuel cells; optimization; wind turbines
Show Figures

Figure 1

MDPI and ACS Style

Singh, P.; Meena, N.K.; Yang, J.; Bishnoi, S.K.; Vega-Fuentes, E.; Lou, C. Modified Dragonfly Optimisation for Distributed Energy Mix in Distribution Networks. Energies 2021, 14, 5690. https://doi.org/10.3390/en14185690

AMA Style

Singh P, Meena NK, Yang J, Bishnoi SK, Vega-Fuentes E, Lou C. Modified Dragonfly Optimisation for Distributed Energy Mix in Distribution Networks. Energies. 2021; 14(18):5690. https://doi.org/10.3390/en14185690

Chicago/Turabian Style

Singh, Pushpendra, Nand K. Meena, Jin Yang, Shree K. Bishnoi, Eduardo Vega-Fuentes, and Chengwei Lou. 2021. "Modified Dragonfly Optimisation for Distributed Energy Mix in Distribution Networks" Energies 14, no. 18: 5690. https://doi.org/10.3390/en14185690

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop