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Design and Management of Electric Power Grids and Distributed Energy...
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Design and Management of Electric Power Grids and Distributed Energy Resources for Low-Carbon Energy Distribution Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: closed (15 September 2021) | Viewed by 5702

Special Issue Editors

Dr. Nand Kishor Meena

E-Mail Website
Guest Editor
School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK
Interests: renewable energy; microgrids; optimization; electric vehicles; distribution systems
Dr. Jin Yang

E-Mail Website
Guest Editor
James Watt School of Engineering, University of Glasgow, Glasgow G12 8LT, UK
Interests: power systems; power transmission; smart grids; distribution network analysis; power electronics; low carbon technologies; power control

Special Issue Information

Dear Colleagues,

The growing global interest in low-carbon technologies (LCTs) to meet the goal of a world with clean energy has proliferated the large-scale integration of renewables in distribution networks. A set of LCTs can include distributed generations (DGs), energy storage systems (ESSs), electric vehicles (EVs), heat pumps (HPs), shunt/super-capacitors, superconducting magnetic energy storage, flywheels, demand-side management, etc. The quick growth of various distributed energy resources (DERs) has changed the consumer only characteristic of traditional distribution networks. Moreover, traditional distribution networks had been designed by assuming unidirectional power flow topology, which is not capable of accommodating high renewable penetration. Conflicting goals have made the planning and operation of modern distributions very challenging. The strategic and optimal planning, allocation and operational management can overcome some of the issues caused by high LCT penetration. The optimal integration of smart grid technologies such as power electronics devices (PEDs), automation, optimization, online monitoring and control can offer the required amount of operational flexibility to modern distribution systems to achieve various techno-economic and environmental benefits. This Special Issue of Energies on “Design and Management of Electric Power Grids and Distributed Energy Resources for Low-Carbon Energy Distribution Systems” is focused on the new methodologies, strategies, schemes, optimization frameworks and techniques that solve various design and operation problems of modern distribution systems.

Topics include, but are not limited to, the following research topics:

  • Planning and management of DERs in distribution networks;
  • State of the art of the design and management of modern distribution grids;
  • Optimization methods for the design and operation of distribution systems;
  • Optimal planning and management of high renewable penetration;
  • Charging infrastructure of electric vehicles with V2G, G2V and V2X operations;
  • Integration and operation of various LCTs in distribution grids;
  • Sizing, management and control algorithms of different energy storage units;
  • Deployment of smart grid technologies in distribution systems;
  • Online monitoring, control, sensing and protection of energy systems;
  • Network reconfiguration, distribution automation and microgrids;
  • Demand-side management and ancillary services in distribution grids;
  • Retail energy markets, P2P energy trading and power flow tracing.

Manuscripts addressing any new problem and solution method of distribution systems, which can be based on simulation or experimental results, are also welcome.

Dr. Nand Kishor Meena
Dr. Jin Yang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • low-carbon technologies
  • distributed energy resources
  • electric power grid
  • distribution automation
  • energy distribution systems
  • microgrids
  • online monitoring and control
  • optimization
  • ancillary services

Published Papers (2 papers)

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Research

19 pages, 365 KiB  
Article
Modified Dragonfly Optimisation for Distributed Energy Mix in Distribution Networks
by Pushpendra Singh, Nand Kishor Meena, Jin Yang, Shree Krishna Bishnoi, Eduardo Vega-Fuentes and Chengwei Lou
Energies 2021, 14(18), 5690; https://doi.org/10.3390/en14185690 - 10 Sep 2021
Cited by 4 | Viewed by 1937
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Design and Management of Electric Power Grids and Distributed Energy Resources for Low-Carbon Energy Distribution Systems)
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30 pages, 2987 KiB  
Article
Optimal Scheduling of Non-Convex Cogeneration Units Using Exponentially Varying Whale Optimization Algorithm
by Vinay Kumar Jadoun, G. Rahul Prashanth, Siddharth Suhas Joshi, Anshul Agarwal, Hasmat Malik, Majed A. Alotaibi and Abdulaziz Almutairi
Energies 2021, 14(4), 1008; https://doi.org/10.3390/en14041008 - 15 Feb 2021
Cited by 7 | Viewed by 2635
Abstract
This paper proposes an Exponentially Varying Whale Optimization Algorithm (EVWOA) to solve the single-objective non-convex Cogeneration Units problem. This problem seeks to evaluate the optimal output of the generator unit to minimize a CHP system’s fuel costs. The nonlinear and non-convex characteristics of [...] Read more.
This paper proposes an Exponentially Varying Whale Optimization Algorithm (EVWOA) to solve the single-objective non-convex Cogeneration Units problem. This problem seeks to evaluate the optimal output of the generator unit to minimize a CHP system’s fuel costs. The nonlinear and non-convex characteristics of the objective function demands a powerful optimization technique. The traditional Whale Optimization Algorithm (WOA) is improved by incorporating four different acceleration functions to fine-tune its performance during exploration and exploitation phases. Among the four variants of the proposed WOA, the emphasis is laid on the EVWOA which uses the exponentially varying acceleration function (EVAF). The proposed EVWOA is tested on six different small-scale to large-scale systems. The results obtained for these six test systems, followed by a statistical study highlight the supremacy of EVWOA for finding the best optimal solution and the convergence traits. Full article
(This article belongs to the Special Issue Design and Management of Electric Power Grids and Distributed Energy Resources for Low-Carbon Energy Distribution Systems)
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