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Control, Optimization, and Cybersecurity of Electric Power Systems

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

Deadline for manuscript submissions: closed (20 October 2022) | Viewed by 1700

Special Issue Editors


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Guest Editor
Electrical Engineering Department, College of Engineering and Computer Science, University of Tennessee, Chattanooga, 615 McCallie Avenue, Chattanooga, TN 37403-2598, USA
Interests: smart grid; distributed generation; renewable/alternative energy; power systems; optimization; simulation; data analytics and planning

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Guest Editor
Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Ave., Ann Arbor, MI 48109, USA
Interests: control theory; optimization; state estimation; power systems; transportation systems
Power Systems Laboratory, ETH Zürich, ETL G 24.2, Physikstrasse 3, 8092 Zürich, Switzerland
Interests: optimization and operation of power systems; optimal control; complex network systems

Special Issue Information

Dear Colleagues,

The domination of fuel-based (like coal and gas) power plants in supplying power to the grid is diminishing over time as more and more fuel-free renewable energy resources such as wind and PV solar farms are built and operated. To accommodate the intermittent nature of generated power provided by renewable energy resources, energy storage devices such as battery farms are being deployed. Demand response programs, which allow loads to be more proactive in maintaining power balance to the grid, are also being actively researched and progressively implemented. Indeed, the integration of conventional power plants, renewables, energy storage devices, and controllable loads increases the difficulties of power systems operation and control. The integration of advanced computing power as well as communication networks in power grids, despite offering solutions to the above problem, are facing serious cybersecurity issues which can lead to power outage, infrastructure damage, and economic loss.

This Special Issue is intended to collect original solutions to the aforementioned problems through proposing novel advanced control and optimization strategies. This Special Issue also seeks innovative solutions to improve cybersecurity and resilience in power systems. Topics of interest for publication include but are not limited to the following:

  • Review of the current state of the art in advanced power system control and optimization methods;
  • Review of methods for improving cybersecurity and resilience in power systems;
  • Wide-area control for renewable-integrated power networks;
  • Advanced control and optimization strategies for power systems;
  • Integration of conventional generators with inverter-based renewables;
  • Dynamic state estimation in transmission and distribution systems;
  • Fault-tolerant control for power systems;
  • Dynamic security assessment of power systems;
  • Cyber-attack prevention and mitigation for power systems.

Dr. Nurhidajat Sisworahardjo
Dr. Sebastian A. Nugroho
Dr. Yi Guo
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

  • power systems
  • control
  • optimization
  • cybersecurity
  • smart grids
  • cyber-physical systems

Published Papers (1 paper)

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Research

15 pages, 7473 KiB  
Article
Artificial Neural Network Controller in Two-Area and Five-Area System with Security Attack and Game-Theory Based Defender Action
by S. Khadarvali, V. Madhusudhan and R. Kiranmayi
Energies 2022, 15(15), 5715; https://doi.org/10.3390/en15155715 - 5 Aug 2022
Cited by 2 | Viewed by 1321
Abstract
Smart grids are the latest technology to generate and dispatch an optimal amount of power. Thus, there is a need for stability analysis in smart grid systems. If the smart grid is incorporated into the power system, then the phasor measurement unit (PMU) [...] Read more.
Smart grids are the latest technology to generate and dispatch an optimal amount of power. Thus, there is a need for stability analysis in smart grid systems. If the smart grid is incorporated into the power system, then the phasor measurement unit (PMU) is used to measure the voltage, current, and frequency. Additionally, the central control unit monitors and controls the power. However, there is a possibility of inserting wrong data into the smart grid as the PMUs are transmitting the data through the Internet and other wireless protocols. There is a need to find solutions to this threat to make the power flow safe and secure in the future. In this paper, two-area load frequency control (LFC) is used for testing the game-theory based security treatment and improving the system’s stability by using an artificial neural network. The two-area system and five-area system are used to test the stability of the power system. Full article
(This article belongs to the Special Issue Control, Optimization, and Cybersecurity of Electric Power Systems)
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