Two Control Areas Reliability Assessment Method based on the State Enumeration Method Considering Mass Penetration of Intermittent Generation

2014 ◽  
Vol 134 (4) ◽  
pp. 328-335
Author(s):  
Yusuke Manabe ◽  
Ryoichi Hara ◽  
Hiroyuki Kita ◽  
Eiichi Tanaka
Keyword(s):  
Reliability Assessment ◽  
Assessment Method ◽  
The State ◽  
State Enumeration

Reliability Assessment of Power Generation System Using an Optimized State Enumeration Method

2021 ◽  
Vol 15 ◽  
Author(s):  
Zhiyan Zhang ◽  
Kaixuan Wang ◽  
Guangxi Tian ◽  
Gang Xu ◽  
Hongfei Zhao
Keyword(s):  
Neural Network ◽  
Power Systems ◽  
High Efficiency ◽  
Reliability Assessment ◽  
The State ◽  
Large Network ◽  
Complex Power ◽  
Som Neural Network ◽  
Single State ◽  
State Enumeration

Background: The single state enumeration method cannot meet the requirement of accuracy and high efficiency in the reliability assessment of complex power systems because of many uncertain factors and the large scale of the power grid. Methods: A new method of generating system reliability assessment based on self-organizing map (SOM) neural network and state enumeration is presented. First, the input parameters of the state enumeration method are optimized by using the feature of the SOM neural network algorithm that can automatically, quickly, and accurately classify the sample parameters in this method. Second, combining with Markov Model, the optimized system state samples are divided into fault state and normal state, and then the reliability indexes are enumerated. Finally, this method is used to calculate the reliability indexes of IEEE-RTS single-stage power units under different operation conditions. Results: The results show that this method is superior to the single state enumeration method in calculation time; it can be used to evaluate the reliability of modern complex power systems. Conclusion: The optimized state enumeration method is more suitable for the reliability evaluation of the system with a large network scale, and its reliability index is more accurate; while retaining the higher calculation accuracy of the state enumeration method, it can promote the safe, reliable, and economical operation of the power system.

scholarly journals FACTORS AFFECTING OFFICERS’ENGAGEMENT TO STATE AGENCIES IN KIEN GIANG PROVINCE

2019 ◽  
Vol 1 (26) ◽  
pp. 46-53
Author(s):  
Thang Van Tong ◽  
Anh Thi Ngoc Pham ◽  
Phuc Hoang Ho
Keyword(s):  
Sampling Method ◽  
Reliability Assessment ◽  
Field Work ◽  
Assessment Method ◽  
The State ◽  
Working Environment ◽  
State Agencies ◽  
Factors Affecting ◽  
Work Relations ◽  
Convenience Sampling

The study is conducted to determine the factors that affect the cohesion of civil servants and employees (CCVC)in the state agencies in Kien Giang province.  Convenience sampling method is conducted and information is collected by the survey with sample size of 343. Reliability assessment method Cronbach’s  Alpha and explorer factor analysis (EFA) are used to screen and extract satisfactory factors. The results of regression analysis identified factors: the field work; relations at work; working environment; promotion opportunities; skills and personal capabilities; the future development of the organization and income that have  affected the commitment of CCVC in the state agencies in Kien Giang province. Through the analysis the authors have proposed a number of recommendations to the local management to developt and use of human resources as well as measures to retain talent.

scholarly journals A Practical Nonprobabilistic Reliability Assessment Method on Key Strata Shear Failure in Longwall Mining

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Hebing Luan ◽  
Jiachen Wang ◽  
Guowei Ma ◽  
Ke Zhang
Keyword(s):  
Structural Reliability ◽  
Shear Failure ◽  
Longwall Mining ◽  
Reliability Assessment ◽  
Friction Angle ◽  
Assessment Method ◽  
Mechanical Tests ◽  
Potential Hazard ◽  
Support Design ◽  
Key Strata

Roof cutting has long been a potential hazard factor in longwall panels in some diggings in China. Meanwhile, the key strata structural reliability, which provides an assessment on the stability of overlying roof strata, may be a significant reference for support design in underground coal mines. This paper aims to investigate a practical nonprobabilistic reliability assessment method on key strata. The mechanical tests and the hollow inclusion triaxial strain tests were conducted to measure relevant mechanical parameters and in situ stress. Furthermore, against the typical failure features in Datong Diggings, China, a shear failure mechanical model of key strata is proposed. Then, an allowable-safety-factor based nonprobabilistic stability probability assessment method is given. The sensitivity of geometrical dimensions and uncertainty levels of friction angle and cohesion are further studied. It is found that thickness and span of key strata have more dominative effect on key strata’s stability compared with the other factor and the increase of uncertainty levels results in decrease of stability probability.

scholarly journals Rapid Assessment Method of Flood Damage Using Spatial-Statistical Models

2016 ◽  
Vol 8 (4) ◽  
pp. 46
Author(s):  
Abdul Hamid Mar Iman ◽  
Edlic Sathiamurthy
Keyword(s):  
Natural Disaster ◽  
Damage Assessment ◽  
Flood Hazard ◽  
Rapid Assessment ◽  
Assessment Method ◽  
Flood Damage ◽  
The State ◽  
Property Damage ◽  
Rapid Assessment Method ◽  
Spatial Approach

Attention to damage assessment is always a priority especially in cases of natural disaster. The state of Kelantan is known to be one of a few Malaysian states with noticeable natural disaster, in particular, flood. In December 2014, an extraordinary magnitude of flood – nicknamed as yellow flood – struck the state causing hundreds of million ringgit of damage to properties. The purpose of this study is to demonstrate a spatial approach to estimating property damage incurred by flood. By selecting a badly affected area, GIS was used to map geo-referenced flood-hit location in Kuala Krai, Kelantan. Flood hazard was modelled and superimposed on estimated property damage. GIS spatial technique was then employed to estimate the flood damage incurred. This study, however, did not make a complete damage assessment of the properties but rather focusing on the methodology of damage assessment to show how it can be implemented. In conclusion, GIS spatial technique can generally be used to provide flood damage rapid assessment method.

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