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Advances in Smart Energy Generation, Integration and Management for Smart...
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Advances in Smart Energy Generation, Integration and Management for Smart Grids

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 2967

Special Issue Editors

Dr. Omowunmi Mary Longe

E-Mail Website
Guest Editor
Electrical and Electronics Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa
Interests: smart grid; distributed energy generation and storage; demand side management; renewable energy; electromobility
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Innocent Ewean Davidson

E-Mail Website
Guest Editor
Department of Electrical Power Engineering, Durban University of Technology, Durban 4000, South Africa
Interests: electrical power systems; grid integration of renewable energy using power electronics; HVdc power transmission, power system planning and economics; and innovation for smart cities
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Kouzou Abdellah

E-Mail Website
Guest Editor
Applied Automation and Industrial Diagnosis Laboratory (LAADI), Faculty of Science and Technology, Djelfa University, Djelfa 17000, Algeria
Interests: power electronics; drivers control; power quality and renewable energies; electrical vehicles; smart grid; smart building; smart cities; climate change causes and impacts; artificial intelligence applications; optimisation algorithms, and fault detection
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Anil Pahwa

E-Mail Website
Guest Editor
Electrical & Computer Engineering Department, Kansas State University, Manhattan, KS 66502, USA
Interests: reliability, automation, and optimization of power distribution systems with a focus on innovative and practical solutions for application of advanced communication and cyber technologies for automation of electricity distribution and large-scale integration of renewable energy resources in the system

Special Issue Information

Dear Colleagues,

Smart Energy Generation, Integration and Management for Smart Grids has become imperative to satisfactorily, safely, reliably, securely, and affordably meet the growing energy demand. The future smart grids, electricity suppliers, and consumers need to seamlessly and smartly interact for the good of all. In addition, smart grids need to be equipped with greater sustainability, reliability, robustness and resilience potentials since different factors could, at one time or the other, attempt to challenge these important features. Smart energy generation, integration and management is essential in smart grids, as it will rightly inform energy producers, consumers and prosumers about the quantity and type of clean distributed energy generation that is required to meet all the demands from industry, commercial and residential energy customers in a sustainable manner. It will further inform the optimal location of environmentally friendly and clean/renewable energy generators that will ensure affordable access to universal electricity for all. The energy management systems and programs being adopted for smart grids must also be consumer-friendly to ensure the universal balance of profit for producers, savings for consumers, sustainability and safety for the environment and grid health. The time we live in needs these solutions more than ever before.

Therefore, you are invited to submit your updated research and review papers without delay to the Special Issue on Smart Energy Generation, Integration and Management for Smart Grids to be published in MDPI Applied Sciences. We are pleased to have Prof. I.E. Davidson (Durban University of Technology, Durban, South Africa), Prof. K. Abdellah (Djelfa University, Algeria) and Prof. A. Pahwa (Kansas State University) as Guest Editors for this Special Issue.

Dr. Omowunmi Mary Longe
Prof. Dr. Innocent Ewean Davidson
Prof. Dr. Kouzou Abdellah
Prof. Dr. Anil Pahwa
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. Applied Sciences 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 2400 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

  • smart distributed energy generation
  • smart distributed energy storage
  • smart energy integration of distributed generation and storage
  • smart vehicle-to-grid integration
  • smart energy management
  • smart demand side management
  • smart demand response
  • smart (mini)(micro)grids

Published Papers (2 papers)

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Research

24 pages, 1274 KiB  
Article
A Hybrid Heuristic Algorithm for Energy Management in Electricity Market with Demand Response and Distributed Generators
by Fahad R. Albogamy
Appl. Sci. 2023, 13(4), 2552; https://doi.org/10.3390/app13042552 - 16 Feb 2023
Cited by 1 | Viewed by 1427
Abstract
Optimal energy management trends are indispensable in improving the power grid’s reliability. However, power usage scheduling for energy management (EM) poses several challenges on a practical and technical level. This paper develops an energy consumption scheduler (ECS) to solve the power usage scheduling [...] Read more.
Optimal energy management trends are indispensable in improving the power grid’s reliability. However, power usage scheduling for energy management (EM) poses several challenges on a practical and technical level. This paper develops an energy consumption scheduler (ECS) to solve the power usage scheduling problem for optimal EM and overcome the major challenge in demand response (DR) implementation. This work aims to solve the power usage scheduling problem for EM to optimize utility bill, peak energy demand, and pollution emission while considering the varying pricing signal, distributed generators (DGs), household load, energy storage batteries, users, and EUC constraints. The ECS is based on a stochastic algorithm (genetic wind-driven optimization (GWDO) algorithm) because generation, DGs, demand, and energy price are stochastic and uncertain. The ECS based on the GWDO algorithm determines the optimal operation schedule of household appliances and batteries charge/discharge for a day time horizon. The developed model is analyzed by conducting simulations for two cases: home is not equipped with DGs, and home is equipped DGs in terms of utility bill, peak energy demand, and pollution emission. The simulation results validated the proposed model’s applicability to EM problems. Full article
(This article belongs to the Special Issue Advances in Smart Energy Generation, Integration and Management for Smart Grids)
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18 pages, 3200 KiB  
Article
Fault Classification and Localization Scheme for Power Distribution Network
by Katleho Moloi, Nomihla Wandile Ndlela and Innocent E. Davidson
Appl. Sci. 2022, 12(23), 11903; https://doi.org/10.3390/app122311903 - 22 Nov 2022
Cited by 6 | Viewed by 1079
Abstract
In this paper, a fault protection diagnostic scheme for a power distribution system is proposed. The scheme comprises a wavelet packet decomposition (WPD) for signal processing and analysis and a support vector machine (SMV) for fault classification and location. The scheme is tested [...] Read more.
In this paper, a fault protection diagnostic scheme for a power distribution system is proposed. The scheme comprises a wavelet packet decomposition (WPD) for signal processing and analysis and a support vector machine (SMV) for fault classification and location. The scheme is tested on a reduced Eskom 132 kV power line. The WPD is used to extract fault signatures of interest and the SVM is subsequently used for fault classification and locating various fault conditions. Furthermore, we investigate the effectiveness of the SVM scheme using different samples of the cycles for fault classification and location. The results show that the fault classification and location on a distribution line can be determined rapidly and efficiently irrespective of the fault impedance and incipient angle with minimum estimation error. Lastly, the proposed scheme is tested on a grid-integrated system with renewable energy sources. Full article
(This article belongs to the Special Issue Advances in Smart Energy Generation, Integration and Management for Smart Grids)
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