Risk assessment method of transmission and transformation project cost based on Monte Carlo simulation

被引:0
作者
Yu B. [1 ]
Yu T. [1 ]
机构
[1] State Grid Ningxia Electric Power Co. Ltd., Yinchuan
关键词
cost trend; indicator system; Monte Carlo simulation; project cost; risk assessment;
D O I
10.1504/IJSD.2023.134416
中图分类号
学科分类号
摘要
In order to improve the level of correlation coefficient and Matthews correlation coefficient of the evaluation results, a risk assessment method of transmission and transformation project cost based on Monte Carlo simulation is designed. Establish the project cost evaluation index system, and introduce the range standardisation method to standardise the evaluation index. The Monte Carlo simulation process is established based on the trigonometric distribution function, and the probability of the occurrence of different indicators is sampled and analysed. The weighted Euclidean distance method is used to calculate the fit between the cost risk status and the Monte Carlo simulation model, and the cost risk measurement is reflected according to the calculated value. The experimental results show that the maximum correlation coefficient of this method can reach 0.99, and the maximum Matthews correlation coefficient can reach 0.949, indicating that the evaluation result of this method is more reliable. © 2023 Inderscience Enterprises Ltd.. All rights reserved.
引用
收藏
页码:278 / 290
页数:12
相关论文
共 17 条
[1]  
Yu B., Yu T., Risk assessment method of transmission and transformation project cost based on Monte Carlo simulation, Int. J. Sustainable Development, 26, 3, pp. 278-290, (2023)
[2]  
Ai X., Yue T., Peng L., Research on engineering settlement management of power transmission and transformation projects based on whole process cost theory, Power System and Clean Energy, 35, 1, pp. 72-77, (2019)
[3]  
Ding Z., Peng L., Prediction method for cost data of power transmission and transformation project based on MK-TESM method, Journal of Shenyang University of Technology, 43, 2, pp. 126-131, (2021)
[4]  
Gao X., Lin X., Research on the identification of variation characteristics of substation project based on text clustering model, Construction Economy, 41, S2, pp. 200-203, (2020)
[5]  
Guo Z., Yang X., Zuo Y., Chen H., Tang W., Research on management, control and evaluation methods of power transmission and distribution projects based on BIM technology, Electronic Design Engineering, 29, 17, pp. 130-134, (2021)
[6]  
Huang H., Lei J., Zeng H., Gong Q., Zhao L., Qiao H., Huang L., Integrated risk assessment system of transmission line under extreme external environment, Journal of Electric Power Science and Technology, 34, 2, pp. 119-127, (2019)
[7]  
Li Y., Guo J., Feng X., Cao L., Research on life cycle cost management of power transmission and transformation projects based on BIM technology under the background of smart infrastructure, Construction Economy, 43, 10, pp. 58-65, (2022)
[8]  
Liang J., Yao H., Liu P., Construction risk assessment model of substation installation project based on BIM, Journal of Xiangtan University (Natural Science Edition), 43, 2, pp. 112-118, (2021)
[9]  
Liu J., Yu Y., Yu J., Ge S., Wu S., Zhou W., Risk assessment method based on BWM group decision-making weighting and FMEA, Journal of Safety Science and Technology, 18, 8, pp. 37-43, (2022)
[10]  
Liu Y., Wang Z., Pu W., Cost risk evaluation of prefabricated building project under epc mode based on combination weighting-evidence theory-fuzzy comprehensive evaluation method, Science Technology and Engineering, 22, 11, pp. 4562-4571, (2022)