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Advances in Smart Power System and Energy Internet

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 2585

Special Issue Editors

Department of Management and Innovation Systems, University of Salerno, 84084 Salerno, Italy
Interests: smart grids; energy management; power systems; demand response
Special Issues, Collections and Topics in MDPI journals
Department of Electronics and Computer Engineering, University of Cordoba, Cordoba, Spain
Interests: internet of energy; smart grids; power quality; electronic instrumentation; usability of complex systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,
 
We would like to invite submissions to a Special Issue of Energies on the subject of Power System and Energy Internet entitled “Smart Power System and Energy Internet”.

Due to environmental concerns, energy security risks, and fossil fuel problems, many countries around the world have decided to replace their conventional power and energy systems with new types of these systems built based on newly suggested concepts such as smart grid and energy Internet. The smart grid concept aims to improve the infrastructure of traditional power systems via the deployment of new measurement devices, such as PMUs, that enable the replacement of traditional SCADA systems with new monitoring and control systems called wide-area monitoring systems (WAMSs). At the distribution level, smart grids enable the usage of the Internet of Things (IoT) and demand-side management programs for enhancing the power system operation, market, and security. This step is necessary for adopting new control and protection schemes based on real-time monitoring techniques that can mitigate the negative impacts of the highly increased share of renewable energy sources on the power systems’ stability and security. On the other hand, the energy Internet concept aims to create a combination of advanced power and electronics technology, information technology and intelligent management technology, and a large number of new power networks, petroleum networks, natural gas networks, etc., which are composed of distributed energy gathering devices, distributed energy storage devices and various types of loads. The energy nodes are intelligently interconnected to achieve an energy reciprocal exchange and sharing a network with a two-way flow of energy.
 
Prof. Dr. Pierluigi Siano
Prof. Dr. Antonio Moreno-Munoz
Dr. Hassan Haes Alhelou
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. 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

  • Architecture and design of energy Internet 
  • Artificial intelligence for energy Internet 
  • Cogeneration and distributed generation 
  • Complementary scheduling and optimization of multiple energy flows 
  • Coordination of energy sources, networks, storage, and loads 
  • Cyber-physical system and cyber security for energy Internet
  • Energy control and storage 
  • Energy efficiency and energy management 
  • Energy Internet-enabled data centers 
  • Energy network
  • Energy switching and routing for energy Internet 
  • Energy systems integration 
  • Global energy interconnection 
  • High-capacity optical transport 
  • Hybrid energy systems 
  • Information and communication for energy Internet 
  • Large-scale energy storage 
  • Microgrid 
  • Operational flexibility of power systems 
  • Optimization of conventional energy resources 
  • Power quality 
  • Smart energy 
  • Smart grid and electric metering innovations 
  • Urban energy transition, energy internet supporting smart cities
  • Intelligent control systems 
  • Intelligent systems and approach 
  • Inverter and converter technology 
  • Measuring technology and instruments 
  • MEMS micro-sensors and structures 
  • Power electronics and power drives 
  • Power generation and sustainable environment 
  • Power optimization 
  • Power quality and electromagnetic compatibility 
  • Power system and its automation 
  • Power system modeling, simulation and analysis 
  • Power system planning and scheduling 
  • Power system protection, operation and control 
  • Power system reliability and security
  • Power system stability 
  • Power systems and energy
  • Power systems communication 
  • Power systems deregulation
  • Renewable energy 
  • Sensor and micro-machines
  • Transmission and distribution systems and apparatus 
  • Wind, solar and renewable energy

Published Papers (1 paper)

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Research

18 pages, 2486 KiB  
Article
Reachability-Based False Data Injection Attacks and Defence Mechanisms for Cyberpower System
by Ren Liu, Hussain M. Mustafa, Zhijie Nie and Anurag K. Srivastava
Energies 2022, 15(5), 1754; https://doi.org/10.3390/en15051754 - 26 Feb 2022
Cited by 5 | Viewed by 1658
Abstract
With the push for higher efficiency and reliability, an increasing number of intelligent electronic devices (IEDs) and associated information and communication technology (ICT) are integrated into the Internet of Things (IoT)-enabled smart grid. These advanced technologies and IEDs also bring potential vulnerabilities to [...] Read more.
With the push for higher efficiency and reliability, an increasing number of intelligent electronic devices (IEDs) and associated information and communication technology (ICT) are integrated into the Internet of Things (IoT)-enabled smart grid. These advanced technologies and IEDs also bring potential vulnerabilities to the intelligent cyber–physical smart grid. State estimation, as a primary step of system monitoring and situational awareness, is a potential target for attackers. A number of other smart grid applications, such as voltage stability assessment and contingency screening, utilize state estimation results as input data. False data injection (FDI) is a specific way to attack state estimation by manipulating input data. Existing research mainly focuses on the mathematical analysis of FDI attacks; however, in these methods, discussions of reachability requirements to compromise measurements considering cyberinfrastructure are limited. Reachability is defined as a measure that estimates the number of hosts to compromise for the possible FDI. Most of the existing FDI attack methods require the simultaneous manipulation on multiple measurement devices in different substations, in order to bypass the bad data detection, which may be impractical. In this paper, a new type of reachability-based FDI attack considering the cybernetwork with a practical attack is proposed and validated on two IEEE test systems. The corresponding defence mechanisms are (a) decentralized state estimation (DSE), (b) DSE with additional backup computational nodes, (c) communication network rerouting, and (d) intrusion detection system, and they were developed and presented with validation for two IEEE test systems with superior performance for an IoT-enabled intelligent smart grid system. Full article
(This article belongs to the Special Issue Advances in Smart Power System and Energy Internet)
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