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Applied Sciences
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Reliability, Control, and Stability of Power Electronic-Based Power Systems
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Reliability, Control, and Stability of Power Electronic-Based Power Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 8937

Special Issue Editors

Dr. Saeed Peyghami

E-Mail Website
Guest Editor
Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Interests: power electronic systems; reliability; control and stability; microgrids; renewable energies
Dr. Amir Safdarian

E-Mail Website
Guest Editor
Smart Energy and Built Environment, VTT Technical Research Centre of Finland, 02044 Espoo, Finland
Interests: smart grid; electric power distribution system operation and planning; energy system reliability and resilience; flexibility and demand response

Special Issue Information

Dear Colleagues,

Power electronics are the key enabling technologies in a wide range of applications comprising of renewable energy systems, electric vehicles, more electric ships and aircrafts, aerospace applications, energy transmission systems, customer electronics, etc. With the proliferation of power electronics, escalated stability, reliability and resiliency challenges to the power electronic-based power systems (PEPSs) in different applications have emerged. Thus, solutions for stability, reliability/resiliency modeling and enhancement in PEPSs have gained increasing interest in recent years. In general, the reliable operation of PEPSs needs to have both strong components and stable operation. The first one can be achieved in three hierarchical levels of component, converter and power systems with appropriate actions being carried out at each level in order to strengthen the overall reliability of PEPSs. These strategies may include various efforts and studies on design for reliability approaches, maintenance scheduling, condition monitoring and fault diagnosis, fault tolerant strategies, probability theory and AI-oriented control techniques, cyber-resilient control approaches, etc. Moreover, the stable operation of PEPSs requires multi-time scale modeling of power converters for characterizing their behavior inside a range of frequency variations in order to realize unstable modes and take appropriate mitigation techniques to enhance the system stability. This can cover a wide range of stability issues, including voltage, frequency and harmonic stability. The ultimate goal of reliability and stability studies is to model, evaluate and safeguard the service continuation and quality of modern PEPSs using various strategies depending on the applications and available resources in different timescales from a real-time operation up to long-term facility planning. In order to achieve such a goal, new reliability/resiliency models, techniques and assessment tools at both the component and system levels need to be developed for large-scale power systems with a considerable use of power converters. Moreover, different smart reliability/resiliency improvement techniques and control strategies must be developed for the optimal planning and operation of modern PEPSs.

This Special Issue aims to cover the state-of-the-art methodologies, models and technical contributions for improving the reliability and stability of modern power systems characterized by the high penetration of renewable energy sources, electric vehicles, battery energy storage systems and, as such, a large number of power electronics components. Prospective authors are invited to submit original contributions, survey papers, or tutorials, that target, but are not restricted to, the following:

  • Reliability/resiliency assessment techniques in PEPSs;
  • Stability and reliability modeling in large scale PEPSs;
  • Multi-timescale stability and reliability modeling in power electronic converters and PEPSs;
  • Design for reliability/resiliency in PEPSs;
  • Fault-tolerant strategies in power electronic converters for resilience enhancement of power systems;
  • Condition monitoring and fault diagnosis and protection schemes for power electronic systems;
  • Reliability Centered Maintenance in PEPSs;
  • Reliability validation testing for power converters in PEPS applications;
  • Cyber, cyber-physical security and resiliency in PEPSs;
  • Advanced control techniques for stability enhancement in PEPSs;
  • Smart coordinated protection and control techniques for stability and reliability enhancement in PEPSs;
  • Reliable design, planning, control and operation of microgrids;
  • Application of artificial intelligence in reliability and stability evaluation of PEPSs;
  • Distributed coordination and distributed management techniques for frequency and voltage regulations in PEPSs.

Dr. Saeed Peyghami
Dr. Amir Safdarian
Guest Editors

Manuscript Submission Information

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Keywords

  • converter reliability
  • fault ride through
  • redundant topologies
  • design for reliability
  • resilient converters
  • reliability assessment techniques
  • reliability of large-scale power electronic systems
  • maintenance in power electronic systems
  • reliability cost–worth analysis in power electronic systems
  • asset management in power electronic systems

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Published Papers (4 papers)

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Research

19 pages, 5705 KiB  
Article
Developing an Integrated Energy Demand-Supply Modeling Framework for Scenario Analysis of the Low Carbon Emission Energy System in Zambia
by Precious P. Daka and Hooman Farzaneh
Appl. Sci. 2023, 13(6), 3508; https://doi.org/10.3390/app13063508 - 9 Mar 2023
Cited by 2 | Viewed by 2596
Abstract
This study develops an integrated modeling approach to analyze the effects of different scenarios compared to a baseline (2019) scenario on energy demand and supply in Zambia. Aiming at minimizing costs, the model combines available resources and technologies, adhering to techno-economic and environmental [...] Read more.
This study develops an integrated modeling approach to analyze the effects of different scenarios compared to a baseline (2019) scenario on energy demand and supply in Zambia. Aiming at minimizing costs, the model combines available resources and technologies, adhering to techno-economic and environmental limits. On the demand side, the study uses time series analysis to forecast future electricity demand in Zambia. The supply-side energy model identifies the optimal combination of resources and technologies needed to satisfy exogenously specified electricity demand levels at the least cost. The baseline scenario results revealed that the power outages in Zambia, especially at peak times, have been attributed to reliance on imported fuel for power generation, the slow-paced integration of renewable resources, and not fully utilizing resource potential for the supply side. To overcome the power outages and meet the electricity demand in 2035, a comprehensive scenario analysis was conducted, including the main scenarios of 30% integration of renewable energy, no coal power generation, and low emission targets (10%, 20%, 30%, 40%, and 50% reduction from the baseline). The expected CO2 reductions from the renewable energy scenario, no coal scenario, and 50% low emission target are estimated at 5222 kilotons in 2035, respectively. Full article
(This article belongs to the Special Issue Reliability, Control, and Stability of Power Electronic-Based Power Systems)
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26 pages, 4589 KiB  
Article
Multi Microgrid Framework for Resilience Enhancement Considering Mobile Energy Storage Systems and Parking Lots
by Waleed Abdulrazzaq Oraibi, Behnam Mohammadi-Ivatloo, Seyed Hossein Hosseini and Mehdi Abapour
Appl. Sci. 2023, 13(3), 1285; https://doi.org/10.3390/app13031285 - 18 Jan 2023
Cited by 6 | Viewed by 1791
Abstract
This paper proposes a practical and effective planning approach that takes advantage of the mobility and flexibility of mobile energy storage systems (MESSs) to increase distribution system resilience against complete area blackouts. MESSs will be very useful for boosting the system’s resilience in [...] Read more.
This paper proposes a practical and effective planning approach that takes advantage of the mobility and flexibility of mobile energy storage systems (MESSs) to increase distribution system resilience against complete area blackouts. MESSs will be very useful for boosting the system’s resilience in places affected by disasters when the transmission lines are damaged. A joint post-disaster restoration strategy for MESSs and PEV-PLs is proposed, along with distributed generation and network reconfigurations, to reduce total system costs, which include customer interruption costs, generation costs, and MESS operation and transportation costs. The integrated strategy accounts for the uncertainty of the production of wind- and solar-powered microgrids (MGs) and different forms of load demand. Therefore, this paper assesses the effect of MESSs on distribution system (DS) resilience in respect of MG cost reduction and flexibility. Due to the multiple networks, PEV-PLs, DGs, and MESS limitations, the suggested restoration problem is stated as a mixed-integer linear programming problem. The suggested framework is complemented using a benchmark testing system (i.e., 33-bus DS). To assess the effectiveness of the proposed model, the model’s output is contrasted with results from typical planning and a traditional model. The comparison of the data shows that the suggested model, in addition to MESSs, effectively achieves a large decrease in cost and enhances the DS resilience level. Full article
(This article belongs to the Special Issue Reliability, Control, and Stability of Power Electronic-Based Power Systems)
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17 pages, 2814 KiB  
Article
An Observer-Based Current Sensor-Less Control Scheme for Grid-Following Converters
by Mohamad Amin Ghasemi, Seyed Fariborz Zarei, Zahra Sohrabi, Frede Blaabjerg and Saeed Peyghami
Appl. Sci. 2022, 12(15), 7749; https://doi.org/10.3390/app12157749 - 1 Aug 2022
Cited by 2 | Viewed by 1546
Abstract
Distributed energy resources based on grid-following inverters are the dominant part of future modern power systems. To achieve a higher performance, the reliability enhancements and cost reductions of such inverters are the most important demands. In this respect, the sensors are one of [...] Read more.
Distributed energy resources based on grid-following inverters are the dominant part of future modern power systems. To achieve a higher performance, the reliability enhancements and cost reductions of such inverters are the most important demands. In this respect, the sensors are one of the elements which greatly determine the cost and reliability of the inverters, and minimizing the number of sensors may achieve both lower costs and higher reliability. In addition, sensor data are prone to cyber-attacks, and sensor-less control techniques would improve the cyber-physical tolerance capabilities of the system. This paper proposes a grid-side current sensor-less control technique for grid-following inverters. In the proposed scheme, an observer is suggested which estimates the grid-side currents by processing the measured DC-link voltage. The estimated grid-side currents are fed to the control loops of the inverter. To verify the effectiveness of the proposed scheme, the stability of the overall control structure is analyzed, including the nonlinear dynamics of the DC-link voltage in the various operating points, using eigen value analysis and time domain simulations. The results demonstrate that the proposed scheme preserves the proper stability margin and performance of the GF-VSC, even in the presence of uncertainty in output filter inductance. Full article
(This article belongs to the Special Issue Reliability, Control, and Stability of Power Electronic-Based Power Systems)
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15 pages, 2604 KiB  
Article
Efficient Fixed-Switching Modulated Finite Control Set-Model Predictive Control Based on Artificial Neural Networks
by Abualkasim Bakeer, Mohammed Alhasheem and Saeed Peyghami
Appl. Sci. 2022, 12(6), 3134; https://doi.org/10.3390/app12063134 - 18 Mar 2022
Cited by 9 | Viewed by 2150
Abstract
The disadvantage of finite control set-model predictive control (FCS-MPC) is that the switching frequency is variable and relies on the sampling time and operating point. This paper describes how to implement a new algorithm to achieve a fixed-switching frequency functionality for the FCS-MPC. [...] Read more.
The disadvantage of finite control set-model predictive control (FCS-MPC) is that the switching frequency is variable and relies on the sampling time and operating point. This paper describes how to implement a new algorithm to achieve a fixed-switching frequency functionality for the FCS-MPC. The used approach combines the FCS-MPC with the SVPWM, resulting in the calculation of dwell times and the selection of the best two active vectors for the next sample interval. These dwell times have a significant impact on FCS-MPC performance during transient and steady-state conditions, and their values are determined using various mathematical models. To solve the problem of the fixed-switching frequency with lower harmonics distortion compared to the conventional modulated MPC (M2PC), an ANN-based trained network is proposed to calculate the duty-cycle of the applied vectors and thus the dwell time in the next sampling interval. The ANN network receives the cost functions of the two active vectors and the zero vector from the M2PC control algorithm and determines the optimal duty-cycle for each vector based on a proper tuning. In this way, three goals are achieved, the first goal is that the algorithm explicitly obtains a fixed-switching frequency, and secondly, the cost is as simple as the conventional M2PC. Finally, the feature of including objectives and non-linearity is still applicable. The paper’s case study used the two level voltage source inverter (2L-VSI) for uninterruptible power supply (UPS) applications. The results based on MATLAB/Simulink revealed that the ANN-M2PC has retained all FCS-MPC features in addition to operating at a fixed-switching frequency, while the power quality is significantly enhanced. Full article
(This article belongs to the Special Issue Reliability, Control, and Stability of Power Electronic-Based Power Systems)
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