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Sustainability
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Smart Grid and Control System for Higher Resilience and Reliability
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Smart Grid and Control System for Higher Resilience and Reliability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Resources and Sustainable Utilization".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 3752

Special Issue Editor

Prof. Dr. Tomonobu Senjyu

E-Mail Website
Guest Editor
Faculty of Engineering, University of the Ryukyus, 1 Senbaru Nishihara—cho Nakagami, Okinawa 903-0213, Japan
Interests: power system; power electronics; optimal control; robust control; optimization; renewable energy; wind generation; PV generation; smart city; smart house; energy management system; zero energy house/building; demand response; electric vehicle; energy storage; heat storage
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Interruptions to the supply of electric power from power systems due to occurrence of typhoons and storms and floods have increased in recent years. Power outages are not only disruptive to daily life but, in the worst-case scenario, can even lead to loss of life. This Special Issue invites research on attempts to maintain supply of electric power and thermal energy using microgrids in the context of various disaster conditions. In order for a continuous power supply to be secured and energy management systems to be maintained for several days, solar power generation and wind power generation can be used. However, it is necessary to introduce optimum energy management methods in critical cases. In addition, electric vehicles are particularly useful transportation tools in certain disaster conditions, and the storage batteries of electric vehicles can also be used to supply electricity. This Special Issue invites researchers in the fields of power control and management, renewable power distribution, and power quality measurement and control to submit their quality research works for publication. The Special Issue includes but is not limited the following topics:

  • Micro grid
  • Power system
  • Renewable energy
  • Resilience of power supply
  • Electric vehicle
  • Smart house/building

Prof. Dr. Tomonobu Senjyu
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. Sustainability 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 grid
  • renewable energy
  • wind energy
  • photovoltaic energy
  • resilience
  • power shortage
  • blackout
  • power system
  • transportation
  • energy management system
  • disaster

Published Papers (2 papers)

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Research

17 pages, 2265 KiB  
Article
Analytical Design of Synchrophasor Communication Networks with Resiliency Analysis Framework for Smart Grid
by Amitkumar V. Jha, Bhargav Appasani, Deepak Kumar Gupta and Taha Selim Ustun
Sustainability 2022, 14(22), 15450; https://0-doi-org.brum.beds.ac.uk/10.3390/su142215450 - 21 Nov 2022
Cited by 4 | Viewed by 1162
Abstract
The advent of synchrophasor technology has completely revolutionized the modern smart grid, enabling futuristic wide-area monitoring protection and control. The Synchrophasor Communication Network (SCN) is a backbone that supports communication of synchrophasor data among Phasor Measurement Units (PMUs) and Phasor Data Concentrators (PDCs). [...] Read more.
The advent of synchrophasor technology has completely revolutionized the modern smart grid, enabling futuristic wide-area monitoring protection and control. The Synchrophasor Communication Network (SCN) is a backbone that supports communication of synchrophasor data among Phasor Measurement Units (PMUs) and Phasor Data Concentrators (PDCs). The operator at the control center can visualize the health of the smart grid using synchrophasor data aggregated at PDCs from several PMUs. Since the core of the SCN is the existing IP network as an underlying communication infrastructure, the synchrophasor data is subjected to attacks that can compromise its security. The attacks, such as denial-of-service (DoS), can result in degradation of performance and even can disrupt the entire operation of the smart grid, if not controlled. Thus, a resilient SCN is a pertinent requirement in which the system continues to operate with accepted levels of performance even in response to the DoS. This article endeavors to propose a comprehensive resiliency framework for the SCN with enhanced resiliency metrics based on hardware reliability and data reliability. The proposed framework is deployed for a SCN pertaining to a practical power grid in India for its resiliency analysis. The proposed work can be regarded as a significant contribution to smart grid technology, as it provides a framework for resiliency analysis covering different aspects such as hardware reliability, data reliability, and parameters validation using the QualNet network simulator. Nevertheless, an analytical design of the hybrid SCN proposed in this work can even be extended to other topological designs of SCN. Full article
(This article belongs to the Special Issue Smart Grid and Control System for Higher Resilience and Reliability)
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21 pages, 7706 KiB  
Article
Active and Reactive Power Management in the Smart Distribution Network Enriched with Wind Turbines and Photovoltaic Systems
by Abolfazl Mehbodniya, Ali Paeizi, Mehrdad Rezaie, Mahdi Azimian, Hasan Masrur and Tomonobu Senjyu
Sustainability 2022, 14(7), 4273; https://0-doi-org.brum.beds.ac.uk/10.3390/su14074273 - 04 Apr 2022
Cited by 12 | Viewed by 1776
Abstract
The penetration of renewable energy sources has been intensified during the last decade to tackle the climate crisis by providing clean energy. Among various renewable energy technologies, wind turbines and photovoltaic systems have received increasing attention from investors. Generally, electronic power converters are [...] Read more.
The penetration of renewable energy sources has been intensified during the last decade to tackle the climate crisis by providing clean energy. Among various renewable energy technologies, wind turbines and photovoltaic systems have received increasing attention from investors. Generally, electronic power converters are used to control renewable generations. The present study discusses the power management of smart distribution networks enriched with wind and photovoltaic units. The model aims to minimize the expected network operating cost of the system formulated as an objective function regarding AC optimal power flow constraints. In addition, stochastic programming based on unscented transformation is adopted to model the probable behavior of loads, renewable generations, and energy market prices. The model employs a linear approximation model to burden the complexity of the problem and achieve the optimum solution. The problem is tested to a 33-bus system using the General Algebraic Modeling System (GAMS). The obtained results confirm the proposed model’s potential in reducing energy costs, power losses, and voltage deviations compared to conventional power flow studies. In the proposed scheme compared to network load distribution studies, the active and reactive power losses, network energy costs, and voltage deviations are improved by about 40.7%, 33%, 36%, and 74.7%, respectively. Full article
(This article belongs to the Special Issue Smart Grid and Control System for Higher Resilience and Reliability)
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