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Infrastructures
Special Issues
Smart Grid Infrastructure
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Smart Grid Infrastructure

A special issue of Infrastructures (ISSN 2412-3811).

Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 18121

Special Issue Editors

Dr. GM Shafiullah

E-Mail Website
Guest Editor
School of Engineering and Energy, Murdoch University, 90 South Street, Perth, WA 6150, Australia
Interests: power systems stability; renewable energy and its enabling technologies; microgrid; smart grid; green hydrogen; clean energy; climate change mitigation and adaptation and sustainability in the energy sector
Special Issues, Collections and Topics in MDPI journals
Dr. Mohammad Taufiqul Arif

E-Mail Website
Guest Editor
School of Engineering, Deakin University, Waurn Ponds, VIC 3216, Australia
Interests: distributed generation; energy storage; grid integration; smart grid and microgrid; sustainable energy and power network; energy efficiency and energy management; operation and protection of power network; protection technologies; data communications and RFID technology
Special Issues, Collections and Topics in MDPI journals
Dr. Mohammad Fakhizan Romlie

E-Mail Website
Guest Editor
Electrical and Electronics Engineering Department, Faculty of Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, Malaysia
Interests: smart grid; energy storage application in power system; peak load shaving in microgrid; power system studies and wireless power transfer

Special Issue Information

Dear Colleagues,

In the beginning of 21st century, governments, utilities, and research communities around the world are working towards developing an intelligent grid system, named smart grid. Smart grid will provide highly consistent and reliable services by efficient energy management practices, smart metering integration, automation, and precision decision support systems, and self-healing facilities and bring the benefits of seamless integration of renewable energy sources to power networks. The smart grid is a broad collection of diverse range of generators and consumers with advanced communication and control technologies in power system that delivers electricity with flexibility, accessibility, and reliability at a low cost.

To address the global climate change and energy crisis, the power system is moving towards a more decentralized mode. More and more intermittent distributed generators (DGs) are integrated into the existing power grid. The dynamics of power flow are also changing and this requires looking into the capability and capacity of the existing power infrastructure. Compared to conventional central large generation, small scale DGs are becoming one of the building blocks of the future smart electricity grid.

Each stakeholder of the smart grid is to be properly linked for timely sharing and communicating to meet the balance of power supply and demand. As consumers can be a producer in smart grid infrastructure and most of the smart grid elements will be communicating with each other via different communication methods, therefore, a large volume of data needs to be handled under smart grid infrastructure. Along with the development of smart grid infrastructure, existing protection devices should also be investigated for faster measurement and quicker decision-making. Moreover, all small-scale generators or individual level DGs are becoming a part of the energy market and, therefore, an appropriate pricing of energy application is essential for all stakeholders. Therefore, smart grid infrastructure includes automation technologies for smart power delivery; DGs, Storage, EVs (Electric vehicles); smart and faster sensing and measurement; integrated communications among all smart grid entities; automation technologies for smart power delivery; fault detection, energy pricing, and energy market; grid data management, data security or data protection; and energy policy under new smart grid environment.

The aim of this Special Issue is to demonstrate the current research and policy on smart grid that ensure sustainable power systems for the future. This Special Issue will accept original research work related to smart gird and it’s enabling technologies, including, but not limited to:

  1. Smart grid for future electricity networks;
  2. Enabling technologies for smart grid;
  3. Control strategies to improve the efficiency and reliability of distribution networks;
  4. Peak load shaving strategies and algorithm;
  5. Integration of DGs on smart grid;
  6. Smart control on operation of DGs;
  7. Protection scheme for a smart grid;
  8. Renewable energy and EV integration issues on smart grid;
  9. Cyber security/big data in smart grid for better management;
  10. Communication systems/protocol for smart grid (IEC61850);
  11. Energy management (load, storage, and/or generation side);
  12. Energy pricing/energy market/energy policy for smart grid.

Dr. GM Shafiullah
Dr. Mohammad Taufiqul Arif
Dr. Mohammad Fakhizan Romlie
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. Infrastructures is an international peer-reviewed open access monthly 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 1800 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 
  • Future electricity networks
  • Operation, protection and management of smart grid 
  • Distributed generation 
  • Smart control technique 
  • Communication infrastructure 
  • Cyber security 
  • Energy policy

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Published Papers (2 papers)

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Research

14 pages, 267 KiB  
Article
Performance Assessment and Economic Analysis of a Gas-Fueled Islanded Microgrid—A Malaysian Case Study
by Moslem Uddin, Mohd Fakhizan Romlie and Mohd Faris Abdullah
Infrastructures 2019, 4(4), 61; https://doi.org/10.3390/infrastructures4040061 - 26 Sep 2019
Cited by 7 | Viewed by 5654
Abstract
In this study, the performance of an islanded gas turbine power generation system in Malaysia was investigated. Considering the low fuel efficiency of the plant during peak and part-load operations, an economic analysis was also carried out, over the period of one year [...] Read more.
In this study, the performance of an islanded gas turbine power generation system in Malaysia was investigated. Considering the low fuel efficiency of the plant during peak and part-load operations, an economic analysis was also carried out, over the period of one year (2017). The case study was conducted on the isolated electrical network of the Universiti Teknologi PETRONAS (UTP), which consists of two gas turbine units with a total capacity of 8.4 MW. Simple performance indicators were developed to assess the performance, which can also be applied to other power stations in Malaysia and elsewhere. Meanwhile, the economy of variable load operations was analyzed using the statistical data of generation, fuel consumption, and loads. The study reveals that the capacity factor of the microgrid in the period was between 52.77–63.32%, as compared to the industrial best practice of 80%. The average plant use factor for the period under review was 75.04%, with a minimum of 70.93% and a maximum of 78.61%. The load factor of the microgrid ranged from 56.68–65.47%, as compared to the international best practice of 80%, while the utilization factor was between 44.22–67.655%. This study further reveals that high fuel consumption rates, due to the peak and part-load operations, resulted in a revenue loss of approximately 17,379.793 USD per year. Based on the present performance of the microgrid, suggestions are made for the improvement of the overall performance and profitability of the system. This work can be valuable for microgrid utility research to identify the most economical operating conditions. Full article
(This article belongs to the Special Issue Smart Grid Infrastructure)
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25 pages, 12739 KiB  
Article
Implementation of Advanced Demand Side Management for Microgrid Incorporating Demand Response and Home Energy Management System
by Izaz Zunnurain, Md. Nasimul Islam Maruf, Md. Moktadir Rahman and GM Shafiullah
Infrastructures 2018, 3(4), 50; https://doi.org/10.3390/infrastructures3040050 - 13 Nov 2018
Cited by 31 | Viewed by 9606
Abstract
To facilitate the possible technology and demand changes in a renewable-energy dominated future energy system, an integrated approach that involves Renewable Energy Sources (RES)-based generation, cutting-edge communication strategies, and advanced Demand Side Management (DSM) is essential. A Home Energy Management System (HEMS) with [...] Read more.
To facilitate the possible technology and demand changes in a renewable-energy dominated future energy system, an integrated approach that involves Renewable Energy Sources (RES)-based generation, cutting-edge communication strategies, and advanced Demand Side Management (DSM) is essential. A Home Energy Management System (HEMS) with integrated Demand Response (DR) programs is able to perform optimal coordination and scheduling of various smart appliances. This paper develops an advanced DSM framework for microgrids, which encompasses modeling of a microgrid, inclusion of a smart HEMS comprising of smart load monitoring and an intelligent load controller, and finally, incorporation of a DR strategy to reduce peak demand and energy costs. Effectiveness of the proposed framework is assessed through a case study analysis, by investigation of DR opportunities and identification of energy savings for the developed model on a typical summer day in Western Australia. From the case study analysis, it is evident that a maximum amount of 2.95 kWh energy can be shifted to low demand periods, which provides a total daily energy savings of 3%. The total energy cost per day is AU$2.50 and AU$3.49 for a house with and without HEMS, respectively. Finally, maximum possible peak shaving, maximum shiftable energy, and maximum standby power losses and energy cost savings with or without HEMS have been calculated to identify the energy saving opportunities of the proposed strategy for a microgrid of 100 houses with solar, wind, and a back-up diesel generator in the generation side. Full article
(This article belongs to the Special Issue Smart Grid Infrastructure)
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