Next Article in Journal
Comparative Assessment of Polycyclic Aromatic Hydrocarbons and Toxicity in a Diesel Engine Powered by Diesel and Biodiesel Blends with High Concentrations of Alcohols
Previous Article in Journal
Study on a Novel Variable Valve Timing and Lift Mechanism for a Miller Cycle Diesel Engine
Previous Article in Special Issue
Higher Order Sliding Mode Observer-Based Sensor Fault Detection in DC Microgrid’s Buck Converter
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Fault-Tolerant Control for Microgrids—Recent Developments and Future Directions

by
Mehdi Hosseinzadeh
School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USA
Energies 2022, 15(22), 8522; https://doi.org/10.3390/en15228522
Submission received: 6 September 2022 / Accepted: 9 September 2022 / Published: 15 November 2022
(This article belongs to the Special Issue Microgrids and Fault-Tolerant Control)

1. Introduction

Microgrids are defined as a cluster of loads, distributed energy resources, and storage devices, and they are receiving worldwide attention due to the increasing rate of consumption of nuclear and fossil fuels and the community demand for reducing pollutant emission in electricity generation fields. The control functional requirements of a microgrid are as follows: (i) the regulation of voltage and frequency within limits; (ii) active and reactive power balance and proper communication among resources; (iii) seamless transition between grid-connected and islanded modes of operation; (iv) economic dispatch of the resources; and (v) power-flow control among microgrid components. Although many schemes and approaches have been proposed for each of the above-mentioned functions, possible faults and failures in any of the components of microgrids can severely affect the performance, applicability, optimality, and robustness of the proposed schemes such that they are no longer suitable or even feasible/admissible. This means that the control schemes must be adapted appropriately to treat faults and failures in the components of microgrids.
The Special Issue “Microgrids and Fault-Tolerant Control” aims at presenting the latest developments, trends, research solutions, and applications of fault-tolerant control to engineering problems in the implementation and utilization of microgrids. This Special Issue includes three original research articles and two review articles, which will be briefly discussed in the next section.

2. Special Issue Articles

Table 1 summarizes the published articles in the Special Issue “Microgrids and Fault-Tolerant Control”. The review article [1], which is authored by M. Hosseinzadeh and F. R. Salmasi, provides an overview of islanding fault detection in microgrids. Islanding fault is a condition in which the microgrid become disconnected from the utility grid unintentionally due to any fault in the utility grid. Islanding fault poses the following drawbacks: (i) It is a hazard for personnel, as they may consider the systems as inactive while the generation units are feeding power to the loads; (ii) the voltage and frequency may not be maintained at a standard acceptable level; (iii) circuit reclosers reconnect the disconnected microgrid to the utility grid when out of phase. Review article [1] surveys the extensive literature concerning the development of islanding fault detection techniques (see Figure 1), which can be classified into remote and local techniques, where the local techniques can be further classified as passive, active, and hybrid. In [1], various detection methods in each class are studied, and advantages and disadvantages of each method are discussed.
Review article [2], authored by F. Nejabatkhah, Y. Wei, H. Liang, and R. R. Ahrabi, discusses cyber-security of smart microgrids. Since cyber system and physical process are tightly coupled in microgrids (see Figure 2), any cyber incidents can have economic and physical impacts on the operation of microgrids. Review article [2] discusses cyber-attacks on data availability, integrity, and confidentiality. In particular, ref. [2] investigates the false data injection (FDI) attack as one of the most challenging threats for smart microgrids, where the attacker compromises the data integrity in the cyber/communication network. Moreover, ref. [2] provides implementation examples of FDI attacks’ construction and detection/mitigation in smart microgrids and presents samples of recent cyber-security projects in the world and critical cyber-security standards of smart grids.
In [3], V. Sharma, M. J. Hossain, S. M. Nawazish Ali, and M. Kashif proposed an inverter configuration, called Impedance (Z)-source inverter, to obtain high-voltage outputs with single-stage power conversion; the proposed configuration is particularly suitable for irrigation applications. Moreover, ref. [3] develops a fault-tolerant strategy to improve reliability and efficiency of the proposed inverter configuration. Underlying the utilized fault-tolerant strategy is the incorporation of an additional redundant leg with an improved control strategy that facilitates the fault-tolerant operation. The developed fault-tolerant circuit is capable of handling open- and short-circuit faults. See Figure 3 for a general structure of the scheme proposed in [3].
The authors of [4] focused on the control of AC/DC pulse-width modulation power electronic converter, which is crucial to ensure efficient power flow between AC and DC subgrids in hybrid AC/DC microgrids. Two passive fault-tolerant control schemes, based on fuzzy logic and model predictive control techniques, are designed and compared in [4]. Both schemes have the capability of tolerating fault effects due to power-loss faults in solar systems in the presence of unknown uncertainties and load variations (see Figure 4 for an overview of the considered fault scenario), which prevents adverse impacts on the quality of power flow and the stability of microgrid as a whole.
Finally, D. Narzary and K. C. Veluvolu focused on current and voltage sensor faults in DC microgrids in [5]. They designed and implemented two high-order sliding mode observers to estimate the voltage and current and to generate residuals for detecting faulty sensors. Moreoveer, they have designed a hierarchical controller to ensure the equal sharing of currents among the distributed generation units of the DC microgrid and to stabilize the system. See Figure 5 for a functional block diagram of the designed controller and observer.

3. Future Directions

Regarding the islanding fault detection, [1] suggests three future research topics: (i) synergistic combinations of different detection techniques to build new hybrid techniques with reduced non-detection zone, reduced false alarm rate, and improved detection performance; (ii) utilizing the available signal processing techniques and learning algorithms to compute the parameters of islanding fault detection techniques (e.g., threshold value); and (iii) investigating the applicability and practicality of islanding fault detection techniques in future smart grids.
Review article [2] provides a wide range of directions that can be pursued to improve cyber-security in microgrids. In particular, [2] suggests the following research topics: (i) state estimation under cyber attacks; (ii) frequency and voltage control under cyber attacks; (iii) cyber-security of electric vehicles and charging stations; (iv) applications of blockchain technology in microgrids; and (v) utilizing software-defined networking technologies to improve cyber-security of microgrids.
Even though different fault-detection and fault-tolerant control schemes have been designed and implemented in [3,4,5], their real-time implementation and their robustness against model uncertainties and external disturbances remain as future research topics. Moreover, distinguishing faults from cyber attacks is a very important research topic that needs to be investigated in future. This is a very challenging task as there is a brain behind each cyber attack; that is, the attacker can conduct an attack such that the system behaves as a faulty system. To the best of our knowledge, there is no systematic method for detecting and isolating faults from cyber attacks.

4. Conclusions

The Special Issue “Microgrids and Fault-Tolerant Control” comprises five articles (two review articles and three original research articles) with various topics and methodologies in fault-tolerant control for microgrids. This editorial briefly summarized the details of each study and provided future directions to further pursue the subjects. The editorial team would like to thank all contributors, reviewers, and journal staff for their efforts.

Funding

This research received no external funding.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Hosseinzadeh, M.; Salmasi, F.R. Islanding Fault Detection in Microgrids—A Survey. Energies 2020, 13, 3479. [Google Scholar] [CrossRef]
  2. Nejabatkhah, F.; Wei, Y.; Liang, H.; Ahrabi, R.R. Cyber-Security of Smart Microgrids: A Survey. Energies 2021, 14, 27. [Google Scholar] [CrossRef]
  3. Sharma, V.; Hossain, M.J.; Ali, S.M.N.; Kashif, M. A Photovoltaic-Fed Z-Source Inverter Motor Drive with Fault-Tolerant Capability for Rural Irrigation. Energies 2020, 13, 4630. [Google Scholar] [CrossRef]
  4. Jadidi, S.; Badihi, H.; Zhang, Y. Passive Fault-Tolerant Control Strategies for Power Converter in a Hybrid Microgrid. Energies 2020, 13, 5625. [Google Scholar] [CrossRef]
  5. Narzary, D.; Veluvolu, K.C. Higher Order Sliding Mode Observer-Based Sensor Fault Detection in DC Microgrid’s Buck Converter. Energies 2021, 14, 1586. [Google Scholar] [CrossRef]
Figure 1. Islanding fault-detection techniques [1].
Figure 1. Islanding fault-detection techniques [1].
Energies 15 08522 g001
Figure 2. A typical smart microgrid with cyber-physical systems [2].
Figure 2. A typical smart microgrid with cyber-physical systems [2].
Energies 15 08522 g002
Figure 3. General structure of the scheme proposed in [3].
Figure 3. General structure of the scheme proposed in [3].
Energies 15 08522 g003
Figure 4. An overview of the fault scenario considered in [4].
Figure 4. An overview of the fault scenario considered in [4].
Energies 15 08522 g004
Figure 5. Functional block diagram of the ith distributed generation units with controllers and higher order sliding mode observers [5].
Figure 5. Functional block diagram of the ith distributed generation units with controllers and higher order sliding mode observers [5].
Energies 15 08522 g005
Table 1. Summary of the Special Issue articles.
Table 1. Summary of the Special Issue articles.
WorkSummary
[1] *Provides an overview of islanding fault detection in microgrids.
[2] *Discusses cyber-security in smart microgrids.
[3]Designs and implements a novel inverter configuration called impedance (Z)-source inverter to obtain high voltage output with single-stage power conversion. Moreover, it develops a fault-tolerant strategy to improve the reliability and efficiency of the designed configuration.
[4]Designs and implements two novel fault-tolerant schemes based on fuzzy logic and model predictive controls to control AC/DC pulse-width modulation power electronic converters in the presence of microgrid faults.
[5]Designs and implements two novel fault detection schemes based on sliding mode techniques to detect current and voltage sensor faults in DC microgrids.
* Review article.

Short Biography of Authors

Energies 15 08522 i001Mehdi Hosseinzadeh received his Ph.D. degree from the University of Tehran, Iran, in 2016. From 2017 to 2019, he was a postdoctoral researcher at the Université Libre de Bruxelles, Brussels, Belgium. From October 2018 to December 2018, he was a visiting researcher at the University of British Columbia, Vancouver, Canada. From 2019 to 2022, he was a postdoctoral research associate at the Washington University in St. Louis, MO, USA. Currently, he is an assistant professor in the School of Mechanical and Materials Engineering at theWashington State University, WA, USA. His research focuses on safety, resilience, and long-term autonomy of autonomous systems, with applications to autonomous robots, autonomous vehicles, energy systems, video streaming, and drug delivery systems.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Hosseinzadeh, M. Fault-Tolerant Control for Microgrids—Recent Developments and Future Directions. Energies 2022, 15, 8522. https://doi.org/10.3390/en15228522

AMA Style

Hosseinzadeh M. Fault-Tolerant Control for Microgrids—Recent Developments and Future Directions. Energies. 2022; 15(22):8522. https://doi.org/10.3390/en15228522

Chicago/Turabian Style

Hosseinzadeh, Mehdi. 2022. "Fault-Tolerant Control for Microgrids—Recent Developments and Future Directions" Energies 15, no. 22: 8522. https://doi.org/10.3390/en15228522

APA Style

Hosseinzadeh, M. (2022). Fault-Tolerant Control for Microgrids—Recent Developments and Future Directions. Energies, 15(22), 8522. https://doi.org/10.3390/en15228522

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop