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A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (10 May 2023) | Viewed by 10458

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Special Issue Editor

Dr. Ch. Rami Reddy

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Guest Editor

Electrical and Electronics Engineering, Malla Reddy Engineering College (A), Maisammaguda, Secunderabad 500100, India
Interests: smart grids; renewable energy sources; electrical drives; power converter applications to energy systems

Special Issue Information

Dear Colleagues,

As conventional sources are decreasing day by day, the world is looking toward renewable energy sources (RES). Reliable access to energy is a key element of economic and social development, as conventional energy sources produces atmospheric pollution and releases greenhouse gases, leading to global warming. By contrast, the advancement in RES fosters a decentralized society and smaller and safer power-generating stations, strengthening local communities. Due to advanced technologies in many countries, centralized power stations will be replaced with smart grids. RES are becoming integrated in vast swathes to the grid at all voltage levels.

This Special Issue is dedicated to the current state, potential, and perspectives of RES and smart grids. The technology advancements in RES and smart grids are characterized by increased efficiency and decrease in cost of installations and energy losses. This Special Issue will feature the latest scientific, technical, and economic developments in RES and smart grids.

Topics of interest for publication include but are not limited to the following:

Current state of renewable energy development in the world;
Smart grids;
Power quality solutions in integrated systems;
Cybersecurity technologies;
Deep learning and machine learning applications in smart grids;
Power converters and their applications in energy systems;
Flexible cost and energy-efficient solutions in the power sector;
Business models, market structures, regulation, tax, and tariff structures in the power industry;
Energy-forecasting technologies;
RES application in electric vehicle technologies;
Battery energy storage systems and smart charging solutions.

Dr. Ch. Rami Reddy
Guest Editor

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

- Current state of renewable energy development in the world
- Smart grids
- Power quality solutions in integrated system
- Cyber security technologies
- Deep learning and machine learning applications in smart grids
- Power converters and their applications in energy systems
- Flexible cost and energy efficient solutions in power sector
- Business models, market structures, regulation, tax and tariff structures in power industry
- Energy forecasting technologies
- RES application in Electric vehicle technologies
- Battery energy storage systems and smart charging solutions

Published Papers (5 papers)

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Research

15 pages, 901 KiB

Open AccessArticle

Investigation and Minimization of Power Loss in Radial Distribution Network Using Gray Wolf Optimization

by Mohammed Alqahtani, Ponnusamy Marimuthu, Veerasamy Moorthy, B. Pangedaiah, Ch. Rami Reddy, M. Kiran Kumar and Muhammad Khalid

Energies 2023, 16(12), 4571; https://doi.org/10.3390/en16124571 - 7 Jun 2023

Cited by 2 | Viewed by 956

Abstract

This paper describes a computational procedure to establish the optimal distribution of network reconfiguration by means of a novel gray wolf optimization (GWO) algorithm. The procedure aimed to diminish the system’s power loss and produce a better voltage profile while fulfilling the operating constraints described by different operating conditions. Under practical restrictions, the distribution network reconfiguration (DNR) problem is classified as multimodal and highly nonlinear. Constraint breaches were appropriately handled to produce stable convergence characteristics, and high-quality solutions were obtained in a shorter execution time. The 33-bus and 69-bus systems were used to obtain the optimal reconfiguration by incorporating the method developed in this work. The simulation results obtained were collated and compared with the outcomes of other well-known optimization techniques, confirming the efficacy of the GWO algorithm in solving the DNR problem. Full article

(This article belongs to the Special Issue Advancement in Renewable Energy Technologies and Smart Grid)

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22 pages, 8810 KiB

Open AccessArticle

Smart Fault Monitoring and Normalizing of a Power Distribution System Using IoT

by Geno Peter, Albert Alexander Stonier, Punit Gupta, Daniel Gavilanes, Manuel Masias Vergara and Jong Lung sin

Energies 2022, 15(21), 8206; https://doi.org/10.3390/en15218206 - 3 Nov 2022

Cited by 8 | Viewed by 2124

Abstract

Conventional outage management practices in distribution systems are tedious and complex due to the long time taken to locate the fault. Emerging smart technologies and various cloud services offered could be utilized and integrated into the power industry to enhance the overall process, especially in the fault monitoring and normalizing fields in distribution systems. This paper introduces smart fault monitoring and normalizing technologies in distribution systems by using one of the most popular cloud service platforms, the Microsoft Azure Internet of Things (IoT) Hub, together with some of the related services. A hardware prototype was constructed based on part of a real underground distribution system network, and the fault monitoring and normalizing techniques were integrated to form a system. Such a system with IoT integration effectively reduces the power outage experienced by customers in the healthy section of the faulted feeder from approximately 1 h to less than 5 min and is able to improve the System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI) in electric utility companies significantly. Full article

(This article belongs to the Special Issue Advancement in Renewable Energy Technologies and Smart Grid)

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24 pages, 6845 KiB

Open AccessArticle

Experimental Investigation and Performance Characteristics of Francis Turbine with Different Guide Vane Openings in Hydro Distributed Generation Power Plants

by Megavath Vijay Kumar, T. Subba Reddy, P. Sarala, P. Srinivasa Varma, Obbu Chandra Sekhar, Abdulrahman Babqi, Yasser Alharbi, Basem Alamri and Ch. Rami Reddy

Energies 2022, 15(18), 6798; https://doi.org/10.3390/en15186798 - 17 Sep 2022

Cited by 3 | Viewed by 3041

Abstract

This article presents a study on the performance characteristics of a Francis turbine operating with various guide vane openings to determine the best operating point based on unit quantities. The guide vane openings were specified based on the width between the vanes at their exit, i.e., 10 mm, 13 mm, 16 mm, and 19 mm. The performance characteristic curves of the Francis turbine—head versus speed, torque versus speed, discharge versus speed, and efficiency versus speed—were obtained at various input power and guide vane openings. From these data, unit curves were plotted and the corresponding best efficiency points were obtained. The highest efficiency of 50.25% was obtained at a guide vane opening of 19 mm. The values of head, discharge, speed, and output power at BEP were 7.84 m, 13.55 lps, 1250 rpm, and 524 W, respectively. Full article

(This article belongs to the Special Issue Advancement in Renewable Energy Technologies and Smart Grid)

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Graphical abstract

23 pages, 3341 KiB

Open AccessArticle

A Hybrid AOSAOA Scheme Based on the Optimal Location for Electric Vehicle Parking Lots and Capacitors in a Grid to Care of Voltage Profile and Power Loss

by Ch. S. V. Prasad Rao, A. Pandian, Ch. Rami Reddy, A. Giri Prasad, Ahmad Alahmadi and Yasser Alharbi

Energies 2022, 15(12), 4202; https://doi.org/10.3390/en15124202 - 7 Jun 2022

Cited by 3 | Viewed by 1430

Abstract

In this manuscript, a hybrid system depending on the optimal location of electric vehicle parking lots (PL) and capacitors under voltage profile care and power loss is proposed. The proposed hybrid scheme is the joint execution of both the atomic orbital search (AOS) and arithmetic optimization algorithm (AOA). Commonly it is called the AOSAOA technique. In the paper, the allocation of the parking lot and capacitor is introduced to congestion management with reactive power compensation. To optimally regulate that parking lot size, the AOSAOA technique is adopted. Furthermore, parking lot and capacitor allocation are introduced to congestion management and reactive power compensation. With this proper control, the perfect sitting of capacitor and EV parking lots under the grid, including the deterioration of real and reactive power loss and voltage profiles are optimally chosen. Furthermore, the implementation of the proposed AOSAOA model is developed by the MATLAB/Simulink platform, and the efficiency of the proposed model is likened to other techniques. Full article

(This article belongs to the Special Issue Advancement in Renewable Energy Technologies and Smart Grid)

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15 pages, 5560 KiB

Open AccessArticle

Distribution System Service Restoration Using Electric Vehicles

by Swapna Ganapaneni, Srinivasa Varma Pinni, Ch. Rami Reddy, Flah Aymen, Mohammed Alqarni, Basem Alamri and Habib Kraiem

Energies 2022, 15(9), 3264; https://doi.org/10.3390/en15093264 - 29 Apr 2022

Cited by 3 | Viewed by 1555

Abstract

Nowadays the utilization of Electric Vehicles (EVs) has greatly increased. They are attaining greater attention due to their impacts on the grid at the distribution level. However, due to the increased need for electricity, EVs are also used to serve the load in the instance of electrical failure in the distribution systems. This paper presents a new approach to a service restoration method for a low-voltage distribution network at the time of a power outage using existing EVs available in a parking place. The objective function formulated here was a constrained linear optimization model. It aimed to develop priority-based scheduling of the residential user appliances while meeting all the operational constraints if the EV’s power was in a deficit at the hour of the outage. Weight factors were assigned to various residential appliances to decide their priority while scheduling. To substantiate the proposed methodology, a day load profile of a 20 kVA distribution transformer feeding eight residential users is considered. This was tested during an hour-long power outage scenario in the MATLAB and LINGO platforms, with four EVs available during the outage period. This method restored the maximum power to the residential appliances. Full article

(This article belongs to the Special Issue Advancement in Renewable Energy Technologies and Smart Grid)

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