scholarly journals Adequacy Evaluation of an Islanded Microgrid

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2344
Author(s):  
Martin Kjær ◽  
Huai Wang ◽  
Frede Blaabjerg
Keyword(s):  
Power Systems ◽  
Power Converters ◽  
Replacement Policy ◽  
System Level ◽  
Power Electronic ◽  
Reliability Modeling ◽  
Prior Art ◽  
System Risk ◽  
Level Analysis

The reliability of power converters has been extensively examined in terms of component- and converter level. However, in case of multiple generation units, the evaluation of the performance of power systems requires system-level modeling. This paper aims to merge the prior art of reliability modeling of power converters with the adequacy evaluation of power systems through an extensive design and evaluation analysis of a microgrid based case study. The methodology proposed in the paper integrates the device-level analysis into the domain of the conventional power system reliability analysis while outlining the steps needed to deal with non-exponential distributed failures of power electronic-based generation units. A replacement policy of the power electronic-based units is adopted by means of evaluating the system risk of not supplying system loads, and, finally, an approach on how to ensure a desired replacement frequency is outlined.

scholarly journals Intelligent long-term performance analysis in power electronics systems

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Saeed Peyghami ◽  
Tomislav Dragicevic ◽  
Frede Blaabjerg
Keyword(s):  
Performance Indicator ◽  
Thermal Characteristics ◽  
Operating Conditions ◽  
System Level ◽  
Power Electronic ◽  
Reliability Modeling ◽  
Artificial Neural Network Ann ◽  
Long Term Performance ◽  
Term Performance

AbstractThis paper proposes a long-term performance indicator for power electronic converters based on their reliability. The converter reliability is represented by the proposed constant lifetime curves, which have been developed using Artificial Neural Network (ANN) under different operating conditions. Unlike the state-of-the-art theoretical reliability modeling approaches, which employ detailed electro-thermal characteristics and lifetime models of converter components, the proposed method provides a nonparametric surrogate model of the converter based on limited non-linear data from theoretical reliability analysis. The proposed approach can quickly predict the converter lifetime under given operating conditions without a further need for extended, time-consuming electro-thermal analysis. Moreover, the proposed lifetime curves can present the long-term performance of converters facilitating optimal system-level design for reliability, reliable operation and maintenance planning in power electronic systems. Numerical case studies evaluate the effectiveness of the proposed reliability modeling approach.

scholarly journals Survivability and Vulnerability Analysis of Cloud RAID Systems under Disk Faults and Attacks

2020 ◽  
Vol 6 (1) ◽  
pp. 15-29
Author(s):  
Qisi Liu ◽  
Liudong Xing
Keyword(s):  
Storage System ◽  
Cyber Attacks ◽  
System Level ◽  
Binomial Coefficients ◽  
Decision Diagrams ◽  
Malicious Attacks ◽  
System Survivability ◽  
Disk Failures ◽  
Level Analysis

In this paper we model and analyze survivability and vulnerability of a cloud RAID (Redundant Array of Independent Disks) storage system subject to disk faults and cyber-attacks. The cloud RAID survivability is concerned with the system’s ability to function correctly even under the circumstance of hazardous behaviors including disk failures and malicious attacks. The cloud RAID invulnerability is concerned with the system’s ability to function correctly while occupying some state immune to malicious attacks. A continuous-time Markov chains-based method is suggested to perform the disk level survivability and invulnerability analysis. Combinatorial methods are then presented for the cloud RAID system level analysis, which can accommodate both homogeneous (based on binomial coefficients) and heterogeneous (based on multi-valued decision diagrams) disks. A detailed case study on a cloud RAID 5 system is conducted to illustrate the application of the proposed methods. Impacts of different parameters on the disk and system survivability and invulnerability are also investigated through numerical analysis.

scholarly journals Intelligent Long-Term Performance Analysis in Power Electronics Systems

2020 ◽  
Author(s):  
Saeed Peyghami ◽  
Tomislav Dragicevic ◽  
Frede Blaabjerg
Keyword(s):  
Performance Indicator ◽  
Thermal Characteristics ◽  
Operating Conditions ◽  
System Level ◽  
Power Electronic ◽  
Reliability Modeling ◽  
Artificial Neural Network Ann ◽  
Long Term Performance ◽  
Term Performance

Abstract This paper proposes a long-term performance indicator for power electronic converters based on their reliability. The converter reliability is represented by the proposed constant lifetime curves, which have been developed using Artificial Neural Network (ANN) under different operating conditions. Unlike the state-of-the-art theoretical reliability modeling approaches, which employ detailed electro-thermal characteristics and lifetime models of converter components, the proposed method provides a nonparametric surrogate model of the converter based on limited non-linear data from theoretical reliability analysis. The proposed approach can quickly predict the converter lifetime under given operating conditions without a further need for extended, time-consuming electro-thermal analysis. Moreover, the proposed lifetime curves can present the long-term performance of converters facilitating optimal system-level design for reliability, reliable operation and maintenance planning in power electronic systems. Numerical case studies evaluate the effectiveness of the proposed reliability modeling approach.

Co-Simulation Interfacing Capabilities in Device-Level Power Electronic Circuit Simulation Tools: An Overview

2015 ◽  
Vol 6 (4) ◽  
pp. 665
Author(s):  
Wentao Wang ◽  
Wenying Yang ◽  
Venkata Dinavahi
Keyword(s):  
Electronic Circuit ◽  
Circuit Simulation ◽  
System Level ◽  
Power Electronic ◽  
Simulation Tools ◽  
Advantages And Disadvantages ◽  
Element Simulation ◽  
Electronic Circuit Simulation ◽  
Speed And Accuracy

Power electronic circuit simulation today has become increasingly more demanding in both the speed and accuracy. Whilst almost every simulator has its own advantages and disadvantages, co-simulations are becoming more prevalent. This paper provides an overview of the co-simulation capabilities of device-level circuit simulators. More specifically, a listing of device-level simulators with their salient features are compared and contrasted. The co-simulation interfaces between several simulation tools are discussed. A case study is presented to demonstrate the co-simulation between a device-level simulator (PSIM) interfacing a system-level simulator (Simulink), and a finite element simulation tool (FLUX). Results demonstrate the necessity and convenience as well as the drawbacks of such a comprehensive simulation.

scholarly journals Power Management Policies in Distributed Generation and Potential Opportunities for Future Research

2019 ◽  
Vol 9 (2) ◽  
pp. 143-148
Keyword(s):  
Power Management ◽  
Power Quality ◽  
Distributed Generation ◽  
Unmet Needs ◽  
Future Research ◽  
Power Electronic ◽  
Power Electronic Converters ◽  
Prior Art ◽  
Management Policies

In this paper widespread prior-art search of the distributed generation and its power management policies are presented, the conclusions derived by various authors for different objective statements are explored. In Microgrids with non conventional distributed generation systems, power quality issues are increasing due to power electronic converters involved for the energy conversion. Hence, the purpose of this paper is to showcase the unmet needs of the microgrids in terms of power quality problems and succeeded by the case study on the different available compensation techniques, algorithms and devices. Finally, reflected the importunate gaps available and promising opportunities for future research.

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