scholarly journals Reliability Evaluation for Cyber-Physical Smart Substation

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yangrong Chen ◽  
Jun’e Li ◽  
Ang Xu ◽  
Kai Yuan ◽  
Kaipei Liu
Keyword(s):  
Smart Grid ◽  
Hybrid Method ◽  
Sampling Method ◽  
Circuit Breaker ◽  
Latin Hypercube Sampling ◽  
Reliability Evaluation ◽  
Stable Operation ◽  
Reliability Indices ◽  
Physical Interactions ◽  
Smart Substation

Smart substation is the key part of smart grid. The reliability of smart substation is extremely important to the safe and stable operation of the smart grid. Smart substation is a cyber-physical system (CPS). Hence, this paper conducts reliability evaluation study for smart substation from the perspective of CPS. Firstly, the basic reliability indices of cyber and physical elements of smart substation are presented. The reliability index of one cyber element takes into account the reliability factors of data leakage, tampering, loss and delay, etc., on the cyber side. Then, the cyber-physical interactions of smart substation are analyzed. It is concluded that the effect of the cyber side and cyber-physical interactions on the reliability of smart substation is reflected in the effect of measurement and control messages on circuit breaker operation. And, the new reliability indices considering cyber-physical interactions are proposed. Furthermore, the MALI-hybrid method, which combines the Monte Carlo method, analytical method, Latin hypercube sampling method, and important sampling method, is presented for evaluating the reliability of smart substation. Finally, the rationality of the proposed reliability indices, the efficiency, and correctness of MALI-hybrid method are verified by case studies.

Reliability Evaluation of Main Electrical Connection for the Smart Substation with DCB

2014 ◽  
Vol 521 ◽  
pp. 453-456
Author(s):  
Yang Qi Huang ◽  
Jian Hua Zhang ◽  
Xin Yi Lu ◽  
Nian Liu
Keyword(s):  
Smart Grid ◽  
Research And Development ◽  
Reliability Evaluation ◽  
Design Concept ◽  
Electrical Connection ◽  
Minimal Cut Set ◽  
Execution Unit ◽  
Cut Set ◽  
New Generation ◽  
Smart Substation

As an important part of smart grid, smart substation is the acquisition source of operating data and command execution unit, and also acts as the important foundation and support of smart grid. With the continuous deepening of smart substation construction in State Grid Corporation, the overall integration design concept of the new generation smart substation based on research and development of new equipment has been put forward, realizing the main electrical connection optimization and improvement of reliability .Concerning the characteristic and application of DCB in smart substation, reliability of three kinds of typical main electrical connection schemes in existing substation and smart substation is calculated by the minimal cut-set method in this paper.

Study on the Main Electrical Connection Optimization of Smart Substation Based on Coordination between Power Grid and Substation

2014 ◽  
Vol 1070-1072 ◽  
pp. 1405-1408
Author(s):  
Yang Qi Huang ◽  
Nian Liu ◽  
Jian Hua Zhang ◽  
Xiao Hui Qin
Keyword(s):  
Smart Grid ◽  
Power Grid ◽  
Circuit Breaker ◽  
Coordinated Development ◽  
Design And Optimization ◽  
Electrical Connection ◽  
Optimization Schemes ◽  
Smart Substation

With the construction of smart grid and smart substation, influences of the main electrical connection on the reliability of the entire power gird have become more and more important. Therefore, coordinated development between power grid and substation is a key to the design and optimization of main electrical connection. In this paper, the entire equipment in power grid including the main electrical connection is simulated simultaneously, and then the index of power gird with the main electrical connection optimization by disconnecting circuit breaker is calculated. Optimization schemes are sorted by the method of TOPSIS, realizing the evaluation of main electrical connection based on coordinated development between power grid and substation.

The influence of switching actions with redundant components on the main reliability substations

2019 ◽  
Vol XXII (2) ◽  
pp. 284-295
Author(s):  
Pană L.
Keyword(s):  
Reliability Analysis ◽  
Failure Modes ◽  
Circuit Breaker ◽  
Reliability Evaluation ◽  
State Model ◽  
Reliability Indices ◽  
Minimal Cut Set ◽  
Minimal Cut ◽  
Cut Set ◽  
Three State Model

In this paper is presented a substations reliability analysis based upon substation’s component outage or failure modes. The switching actions can be modelled in the reliability evaluation indices we used the three-state model of the substation components (for example circuit breaker). The reliability indices are evaluated using the minimal cut-set method for each components of substation.

A Hybrid Method for Distribution Substation Reliability Evaluation

2017 ◽  
Vol 12 (2) ◽  
pp. 142
Author(s):  
Hemakumar Reddy Galiveeti ◽  
Arup Kumar Goswami ◽  
Nalin B. Dev Choudhury
Keyword(s):  
Hybrid Method ◽  
Reliability Evaluation

scholarly journals Power-Based Non-Intrusive Condition Monitoring for Terminal Device in Smart Grid

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3635 ◽  
Author(s):  
Guoming Zhang ◽  
Xiaoyu Ji ◽  
Yanjie Li ◽  
Wenyuan Xu
Keyword(s):  
Smart Grid ◽  
Power Consumption ◽  
Real Time ◽  
Condition Monitoring ◽  
Resource Constraints ◽  
Detection System ◽  
Stable Operation ◽  
Detection Accuracy ◽  
Monitoring Method ◽  
Dsp Processors

As a critical component in the smart grid, the Distribution Terminal Unit (DTU) dynamically adjusts the running status of the entire smart grid based on the collected electrical parameters to ensure the safe and stable operation of the smart grid. However, as a real-time embedded device, DTU has not only resource constraints but also specific requirements on real-time performance, thus, the traditional anomaly detection method cannot be deployed. To detect the tamper of the program running on DTU, we proposed a power-based non-intrusive condition monitoring method that collects and analyzes the power consumption of DTU using power sensors and machine learning (ML) techniques, the feasibility of this approach is that the power consumption is closely related to the executing code in CPUs, that is when the execution code is tampered with, the power consumption changes accordingly. To validate this idea, we set up a testbed based on DTU and simulated four types of imperceptible attacks that change the code running in ARM and DSP processors, respectively. We generate representative features and select lightweight ML algorithms to detect these attacks. We finally implemented the detection system on the windows and ubuntu platform and validated its effectiveness. The results show that the detection accuracy is up to 99.98% in a non-intrusive and lightweight way.

scholarly journals A Fusion Algorithm for Online Reliability Evaluation of Microgrid Inverter IGBT

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1294 ◽  
Author(s):  
Chuankun Wang ◽  
Yigang He ◽  
Chenyuan Wang ◽  
Xiaoxin Wu ◽  
Lie Li
Keyword(s):  
Aging Process ◽  
Short Term Memory ◽  
Coupling Model ◽  
Reliability Evaluation ◽  
Junction Temperature ◽  
Stable Operation ◽  
Practical Case ◽  
Fusion Algorithm ◽  
Insulated Gate Bipolar Transistor ◽  
Damage Degree

Due to the diversity of distributed generation sources, microgrid inverters work under complex and changeable conditions. The core device of inverters, an insulated gate bipolar transistor (IGBT), bears a large amount of thermal stress impact, so its reliability is related to the stable operation of the microgrid. The effect of the IGBT aging process cannot be considered adequately with the existing reliability evaluation methods, which have not yet reached the requirements of online evaluation. This paper proposes a fusion algorithm for online reliability evaluation of microgrid inverter IGBT, which combines condition monitoring and reliability evaluation. Firstly, based on the microgrid inverter topology and IGBT characteristics, an electrothermal coupling model is established to obtain junction temperature data. Secondly, the segmented long short-term memory (LSTM) algorithm is studied, which can accurately predict the aging process of the IGBT and judge the aging state via the limited monitoring data. Then, the parameters of the electrothermal coupling model are corrected according to the aging process. Besides, the fusion algorithm is applied to the practical case. Finally, the data comparison verifies the feasibility of the fusion algorithm, whose cumulative damage degree and estimated life error are 5.10% and 5.83%, respectively.

scholarly journals Stochastic Risk and Uncertainty Analysis for Shale Gas Extraction in the Karoo Basin of South Africa

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Abdon Atangana ◽  
Gerrit van Tonder
Keyword(s):  
South Africa ◽  
Mass Transport ◽  
Sampling Method ◽  
Latin Hypercube Sampling ◽  
Transport Equations ◽  
Upward Migration ◽  
Karoo Basin ◽  
Fracking Fluid ◽  
Stochastic Risk ◽  
Flow And Mass Transport

We made use of groundwater flow and mass transport equations to investigate the crucial potential risk of water pollution from hydraulic fracturing especially in the case of the Karoo system in South Africa. This paper shows that the upward migration of fluids will depend on the apertures of the cement cracks and fractures in the rock formation. The greater the apertures, the quicker the movement of the fluid. We presented a novel sampling method, which is the combination of the Monte Carlo and the Latin hypercube sampling. The method was used for uncertainties analysis of the apertures in the groundwater and mass transport equations. The study reveals that, in the case of the Karoo, fracking will only be successful if and only if the upward methane and fracking fluid migration can be controlled, for example, by plugging the entire fracked reservoir with cement.

Optimization of the OOP Children Restraint System

2012 ◽  
Vol 155-156 ◽  
pp. 386-390
Author(s):  
Zhong Hao Bai ◽  
Jing Fei ◽  
Wei Jie Ma
Keyword(s):  
Genetic Algorithm ◽  
Sampling Method ◽  
Latin Hypercube Sampling ◽  
Optimization Method ◽  
Approximate Model ◽  
Parameters Optimization ◽  
Fe Model ◽  
Restraint System ◽  
Effective Protection ◽  
Multi Body

Based on the study of SAE J1980-2008 and FMVSS 208, MADYMO7.1 is used to establish a Multi-body and FE model for two OOP children, and the statistic test is implemented to verify the accuracy of the model. The airbag parameters impacting OOP children greatly and their ranges are selected to determine the objective function. With the Latin Hypercube Sampling method, the Kring approximate model is constructed, and multi-island genetic algorithm is used in subsequently parameters optimization. The results show that the proposed optimization method can provide effective protection for 6-year-old OOP children.

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