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Electronics
Special Issues
Beyond Smart Grid: Power Quality, Reliability and Security Challenges
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Beyond Smart Grid: Power Quality, Reliability and Security Challenges

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (28 February 2019) | Viewed by 8789

Special Issue Editors

Prof. Arif I. Sarwat

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA
Interests: smart grids; plug-in hybrid and electric vehicle (PHEV and EV) systems; high-penetration renewable systems; grid resiliency; large-scale data analysis; advanced metering infrastructure; smart city infrastructure; cyber security
Dr. Arash Anzalchi

E-Mail Website
Co-Guest Editor
Colite Technologies, 5 Technology Circle, Columbia, SC 29203, USA
Interests: designing, simulation and prototyping of hybrid renewable energy systems, mitigation of power quality issues of high photovoltaic integration into the distribution grid, analyzing the photovoltaic power plant and identifying threshold issues and proposing solutions for maintaining or improving of distribution grid performance, power system operation
Dr. Mubarak Mujawar

E-Mail Website
Co-Guest Editor
Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA
Interests: IoT; wearable sensors and systems; micro/nanofabrication; MEMS; low-temperature plasma systems and diagnostics; physics and engineering education
Special Issues, Collections and Topics in MDPI journals
Dr. Haneen Aburub

E-Mail Website
Co-Guest Editor
Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA
Interests: power systems economics and markets; energy storage optimization; renewable energy integration; demand response; smart grid development; and cyber security
Dr. Amir Moghadasi

E-Mail Website
Co-Guest Editor
WPS, One Penn Plaza, 250 W 34th Street, New York, NY 10119, USA
Interests: power electronics, design and control of power converters, high-penetration renewable systems, power quality, application of computational intelligence techniques in power systems

Special Issue Information

Dear Colleagues,

Recent advancements in the integration of renewable energy resources with power grids has heightened the need for transforming conventional power grids into smart grids. Future smart grids will be a network of an electric grid system that has capabilities such as intelligent control, monitoring, communication, and self-healing.  Future smart grids will also evolve to be a complex cyber-physical system in nature, with the growth of Internet of Things, cloud computing, big data analytics and the development of complex networks. In the mix of this smart grid would be increased penetration of distributed energy resources, such as photovoltaic systems, electric vehicles, wind systems, etc. This poses some challenges in the area of power quality, reliability, and security of the grid. It is therefore important for researchers to look beyond this evolution and to start developing solutions that would address these potential future issues. The main aim of this Special Issue is to seek high-quality submissions in the area:

  • Power electronics applications in smart grid systems.
  • Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) technologies.
  • Virtual-Inertia based control methods for smart grid applications.
  • Power quality issues and mitigation methods in smart grids.
  • Communications and Internet of Things (IoT) in smart grids.
  • Extensive surveys on smart grid and smart grid issues.
  • Standardization and interoperability in smart grids.
  • Power system controls in smart grid systems.
  • Advanced optimization techniques in smart grids.
  • Cyber-security challenges and solutions in smart grids.

Prof. Arif I. Sarwat
Guest Editor

Dr. Arash Anzalchi
Dr. Mubarak Mujawar
Dr. Haneen Aburub
Dr. Amir Moghadasi
Co-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. Electronics 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

  • Power electronics applications in smart grid systems
  • Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) technologies
  • Virtual-Inertia based control methods for smart grid applications
  • Power quality issues and mitigation methods in smart grids
  • Communications and Internet of Things (IoT) in smart grid
  • Extensive surveys on smart grid and smart grid issues
  • Standardization and interoperability in smart grid

Published Papers (3 papers)

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Research

21 pages, 4743 KiB  
Article
Operational Reliability Assessment of an Interconnected Power System Based on an Online Updating External Network Equivalent Model with Boundary PMU
by Dabo Zhang, Shuai Lian, Weiqing Tao, Jinsong Liu and Chen Fang
Electronics 2019, 8(1), 49; https://doi.org/10.3390/electronics8010049 - 02 Jan 2019
Cited by 2 | Viewed by 2629
Abstract
Information between interconnected power systems is difficult to share in real time, due to trade secrets and technical limitations. The regional power grid cannot timely detect the impact of changes in the operation mode of the external power grid on the regional reliability, [...] Read more.
Information between interconnected power systems is difficult to share in real time, due to trade secrets and technical limitations. The regional power grid cannot timely detect the impact of changes in the operation mode of the external power grid on the regional reliability, due to faults, load fluctuations, power generation plan adjustments, and other reasons. How to evaluate the reliability of a regional power system under the conditions of information isolation is a difficult problem for the security of interconnected power systems. Aiming at this problem, an operational reliability evaluation method for an interconnected power system is proposed herein, which does not depend on external network information directly, but only uses boundary phasor measurement unit (PMU) measurement data and internal network information. A static equivalent model with sensitivity consistency was used to simplify the external network to ensure the accuracy of the reliability calculation of interconnected power systems. The boundary PMU measurement data were used to update the external network equivalent model online. The algorithm flow of the operation reliability assessment for the interconnected power grid is given. The results of an example based on the IEEE-RTS-96 test system show that the proposed method can track the equivalent parameters of the external network without depending on the actual topological information, and calculate the reliability index of the internal network accurately. Full article
(This article belongs to the Special Issue Beyond Smart Grid: Power Quality, Reliability and Security Challenges)
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30 pages, 4257 KiB  
Article
A Quasi-Average Estimation Aided Hierarchical Control Scheme for Power Electronics-Based Islanded Microgrids
by Khurram Hashmi, Muhammad Mansoor Khan, Jianming Xu, Muhammad Umair Shahid, Salman Habib, Muhammad Talib Faiz and Houjun Tang
Electronics 2019, 8(1), 39; https://doi.org/10.3390/electronics8010039 - 01 Jan 2019
Cited by 8 | Viewed by 3189
Abstract
Self-governed micro power networks are a promising solution for meeting the energy needs of isolated communities not having access to regular transmission networks. The control of such isolated networks requires regulation and “fair” sharing of several power generation and storage resources as well [...] Read more.
Self-governed micro power networks are a promising solution for meeting the energy needs of isolated communities not having access to regular transmission networks. The control of such isolated networks requires regulation and “fair” sharing of several power generation and storage resources as well as efficient peer-to-peer coordination between power converters operating in the network. The regulation of key parameters as voltage, frequency and power sharing is to be ensured for the system to operate optimally. This paper proposes a new, de-centralized, and hierarchical control approach for power inverters in isolated micro networks with multi-layered controls, each addressing the regulation of key system parameters. The proposed scheme uses distributed quasi-averaging estimators at each participating node to achieve resilience towards disturbances caused by delayed transmission of measurement and control signals in the data acquisition and information exchange layer. Detailed system models are developed using MATLAB and Sim-power systems to test the effectiveness of the proposed scheme under varying control and network scenarios. The results of these studies are presented as pole zero evolutions, stability margins and case study wise simulations. The studies carried out verify the validity of the proposed control strategy for micro-distribution networks. Full article
(This article belongs to the Special Issue Beyond Smart Grid: Power Quality, Reliability and Security Challenges)
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Graphical abstract

17 pages, 1139 KiB  
Article
Operation Flexibility Evaluation and Its Application to Optimal Planning of Bundled Wind-Thermal-Storage Generation System
by Yinghao Ma, Hejun Yang, Dabo Zhang and Qianyu Ni
Electronics 2019, 8(1), 9; https://doi.org/10.3390/electronics8010009 - 21 Dec 2018
Cited by 3 | Viewed by 2476
Abstract
The growing penetration of wind power in a power system brings great challenges to system operation flexibility. For generation planning in presence of high wind power penetration, it is essential to take the operation flexibility of the system into account. Firstly, this paper [...] Read more.
The growing penetration of wind power in a power system brings great challenges to system operation flexibility. For generation planning in presence of high wind power penetration, it is essential to take the operation flexibility of the system into account. Firstly, this paper developed the system operation flexibility metrics through considering the flexibility contribution of thermal generating units (TGUs) by operational state transition. Secondly, a planning model for the bundled wind-thermal-storage generation system (BWTSGS) that considers the operation flexibility constraints is proposed. The planning model is used to determine the power and energy rating of an energy storage system (ESS) as well as the type and number of TGUs. A daily scheduling simulation model of a BWTSGS is proposed to calculate the operation cost for the planning model and consider the sequential operation characteristics of the BWTSGS. Further, in order to accelerate the computation, a wind power sequential clustering technique based on the discrete Fourier transform (DFT) method is developed for improving the computational efficiency. Case studies have been conducted on a 1000-MW wind farm to demonstrate the validity and effectiveness of the proposed model. Full article
(This article belongs to the Special Issue Beyond Smart Grid: Power Quality, Reliability and Security Challenges)
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