A Simulation Evaluation Method of Smart Grid Under Unbalanced State

2020 ◽  
Vol 2 (3) ◽  
pp. 68-72
Author(s):  
Dong Qi
Keyword(s):  
Smart Grid ◽  
Evaluation Method ◽  
Simulation Evaluation

scholarly journals An evaluation method of preventive renewal strategies of railway vehicles selected parts

2021 ◽  
Vol 23 (4) ◽  
pp. 678-684
Author(s):  
Jakub Lewandowski ◽  
Stanisław Młynarski ◽  
Robert Pilch ◽  
Maksymilian Smolnik ◽  
Jan Szybka ◽  
...  
Keyword(s):  
Evaluation Method ◽  
Current Collector ◽  
Control Limit ◽  
Computational Tool ◽  
The Real ◽  
Railway Vehicles ◽  
Verification Method ◽  
Limit Value ◽  
Simulation Evaluation ◽  
Operational Data

The aim of the work was to develop a method of verification of the preventive renewal strategies, which enables a simulation evaluation of the effects of the application of a specific schedule of inspections of parts that are important in the operation of complex renewable technical objects. Using it requires having an already established schedule of inspections, and the result of applying the method is determined by indicators that assess the usefulness of the strategy, even before implementation. The developed computational tool was used to evaluate the renewal strategy of the current collector contact plates. Based on the real operational data, several renewal intervals were considered, determining the frequency of events involving the plate covering a specific mileage, from exceeding the wear control limit value to the next inspection (replacement). The proposed verification method is an important tool for testing and planning technical inspections for systems and elements with planned wear, and parts are periodically replaced.

Design of the wind tunnel based virtual flight testing evaluation method for flight control systems

2016 ◽  
Vol 232 (1) ◽  
pp. 17-29
Author(s):  
Min Huang ◽  
Zhong-wei Wang ◽  
Zhen-yun Guo ◽  
Yao-bin Niu
Keyword(s):  
Control System ◽  
Wind Tunnel ◽  
Control Systems ◽  
Flight Control ◽  
Evaluation Method ◽  
Simulation Models ◽  
Hardware In The Loop ◽  
Flight Control System ◽  
Flight Testing ◽  
Simulation Evaluation

In order to provide a method for evaluating flight control systems with the wind tunnel based virtual flight testing and provide a guide for building virtual flight testing systems, the virtual flight testing evaluation method was researched. The virtual flight testing evaluation method consisted of three parts: virtual flight testing method, virtual flight testing data processing method, and flight control system performance determination method, which were respectively designed for a pitching control system. Then, the hardware-in-the-loop simulation evaluation method was presented, and comparisons between the virtual flight testing and hardware-in-the-loop simulation evaluation method were conducted to highlight the characteristics of virtual flight testing evaluation method. Finally, virtual flight testing simulation models of a sample air vehicle were built and virtual flight testing were simulated to demonstrate the virtual flight testing evaluation method, which is helpful for the understanding of the virtual flight testing evaluation method with more sensibility. The evaluation results show that the virtual flight testing evaluation method designed can be used for flight control system evaluation.

Theory and Method for Simulation Evaluation of Accelerated Degradation Test Plan Based on Multiple Performance Parameters

2013 ◽  
Vol 432 ◽  
pp. 294-299
Author(s):  
Jun Pan ◽  
Meng Wang ◽  
Wen Hua Chen ◽  
Rui Min Xu
Keyword(s):  
Evaluation Method ◽  
Mathematic Model ◽  
Butadiene Rubber ◽  
Performance Parameters ◽  
Test Plan ◽  
Accelerated Degradation ◽  
Simulation Evaluation ◽  
Degradation Test ◽  
Accelerated Degradation Test ◽  
Accuracy And Stability

For reasonable evaluating problem of accelerated degradation test (ADT) based on multiple performance parameters, according to proposed simulation evaluation rule of ADT plans, taking variance mean and standard deviation of product reliability estimate as evaluation criteria of test plans accuracy and stability, the numerical simulation and simulation evaluation method for ADT plan based on multiple performance parameters are established. Simultaneously, by using maximum likelihood estimation (MLE) theory, the mathematic model for simulation evaluation of ADT based on multiple performance parameters is established. The simulation evaluation result of Nitrile Butadiene Rubber (NBR) O-ring accelerated degradation test plan shows that compared with the traditional test plan, the optimized test plan can improve estimated accuracy and stability.

Risk Assessment of Smart Grid Cyber Security Based on Multi-Level Fuzzy Comprehensive Evaluation Method

2012 ◽  
Vol 605-607 ◽  
pp. 2311-2317 ◽  
Author(s):  
Ke Wei Zhang
Keyword(s):  
Risk Assessment ◽  
Smart Grid ◽  
Cyber Security ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Detection System ◽  
Fuzzy Comprehensive Evaluation ◽  
Security Level ◽  
Practical Case ◽  
Fuzzy Evaluation

This paper proposes a comprehensive risk assessment index system for Smart Grid cyber security, including five first-level indicators such as entity and environment security, management security, data security, software security and communication security. Every indicator includes specific sub factors. The cyber security risks for Smart Grid are emphatically analysed. The paper integrates AHP with Fuzzy evaluation method, through which the weight of each layer and the risk assessment matrix are determined. Practical case study shows that cyber security level of the Smart Grid is good, but it needs improvement and reinforcement in organization system, data signature, data backup and intrusion detection system.

scholarly journals Application of Random Dynamic Grouping Simulation Algorithm in PE Teaching Evaluation

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Haitao Hao
Keyword(s):  
Stochastic Simulation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Random Simulation ◽  
Simulation Evaluation ◽  
The Absolute ◽  
The Stability ◽  
Form Evaluation ◽  
Traditional Evaluation

The probability ranking conclusion is an extension of the absolute form evaluation conclusion. Firstly, the random simulation evaluation model is introduced; then, the general idea of converting the traditional evaluation method to the random simulation evaluation model is analyzed; on this basis, based on the rule of “further ensuring the stability of the ranking chain on the basis of increasing the possibility of the ranking chain,” two methods of solving the probability ranking conclusion are given. Based on the rule of “further guaranteeing the stability of the ranking chain on the basis of improving the likelihood of the ranking chain,” two methods are given to solve the likelihood conclusion. This paper argues that this absolute form of conclusion hinders the approximation of the theory to the essence of the actual problem and is an important reason for the problem of “non-consistency of multi-evaluation conclusions.” To address this problem, a stochastic simulation-based comprehensive evaluation solution algorithm based on the idea of “Monte Carlo simulation” is proposed, and the corresponding ranking method is investigated, which is characterized by generating evaluation conclusions with probability (reliability) information, and thus has more advantages than the absolute conclusion form in terms of problem interpretability. The method is characterized by the generation of evaluation conclusions with probabilistic (reliability) information and thus has more advantages than the absolute conclusion form in terms of problem interpretation. Because of the independence of the stochastic simulation solution method, it is applied to the “bottom-up” evaluation model as an example, and a novel autonomous evaluation method is constructed. Finally, the application of the stochastic simulation evaluation model is illustrated by an example and compared with the absolute form evaluation. The evaluation model is an extension of the traditional evaluation model, which can further broaden the practical application of comprehensive evaluation theory.

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