考虑潜变量的配电网建设效率优化路径分析
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摘要
配电网建设是电网建设工程中最重要的环节之一,配网的建设效率关乎整个电网的发展水平,并且关系到电力用户的切身利益.通过对影响配网建设效率的关键指标选取,考虑到潜在变量的存在,通过主成分分析将关键指标归类,构建结构方程模型,并根据模型适配度建议对模型进行调整,从而提高模型的拟合度,并进行了算例分析.算例结果表明,提出的结构方程建模方法是有效的,可以作为一种发掘配电网建设中潜在规律的数学工具,同时,通过提高人均售电量、降低线损率、提高净增容量等变量可以有效提高配网建设效率.
Power distribution network construction is the construction of the most important aspects of the construction, which relating to the level of efficiency of the distribution network of the development of the power grid, and related to the vital interests of electricity users. Through selecting the key indicators that affecting the efficiency of distribution network construction, taking into account the presence of latent variables and classifying key indicators by principal component analysis, to build structural equation model, and to adjust the model according to the model fit to improve the model goodness of fit, and conducted the numerical example. Results show that the proposed structural equation modeling method is effective, which can serve as a mathematical tool that explore the potential distribution network construction law, at the same time, by increasing the per capita electricity sales, reduce line loss rate and improve net capacity, etc. variables can effectively improve the efficiency of distribution network construction.
Power distribution network construction is the construction of the most important aspects of the construction, which relating to the level of efficiency of the distribution network of the development of the power grid, and related to the vital interests of electricity users. Through selecting the key indicators that affecting the efficiency of distribution network construction, taking into account the presence of latent variables and classifying key indicators by principal component analysis, to build structural equation model, and to adjust the model according to the model fit to improve the model goodness of fit, and conducted the numerical example. Results show that the proposed structural equation modeling method is effective, which can serve as a mathematical tool that explore the potential distribution network construction law, at the same time, by increasing the per capita electricity sales, reduce line loss rate and improve net capacity, etc. variables can effectively improve the efficiency of distribution network construction.
引文
[1]王恩创,任玉珑,朱春波.釆用三阶段数据包络分析法的配电网综合效率评价[J].电网技术,2010, 11:100-105.
[2]张功林,黄吉,张文虎.配电网投资效率评估优化仿真研究[J].计算机仿真,2015, 07:106-110.
[3]王恩创,任玉珑,朱春波.基于模糊DEA的配电网投入产出综合效率评估[J].工业工程与管理,2009,02:81-87.
[4]陈璨,吴文传,张伯明.基于多场景技术的有源配电网可靠性评估[J].中国电机工程学报,2012, 34:67-73.
[5] Sheheryar Mohsin Qureshi, ChangWook Kang. Analysing the organizational factors of project complexity using structural equation modelling[J]. International Journal of Project Management,2014.
[6] Ali, Zulfiqar Sun, Hongyi Ali, Murad. The impact of managerial and adaptive capabilities to stim-ulate organizational innovation in smes:a complementary PLS-SEM approach[J]. Sustainability,2017, 12(9).
[7] Salman, Abdullahi M, Li, Yue Stewart, Mark G. Evaluating system reliability and targeted hardening strategies of power distribution systems subjected to hurricanes[J]. Reliability Engineering System Safety, 2015, 144:319-333.
[8] Wang Ling-Qun, Lin Jun, Xie Bin. Noise removal based on reconstruction of filtered principal components[J]. Chinese Journal Of Geophysics-Chinese Edition, AUG 2015, 58(8):2803-2811.
[9] Yu, Xiaobao, Zhongfu Tan, Kangting Chen. Efficiency evaluation for smart grid management based on stochastic frontier model and data envelope analyses model[J]. Mathematical Problems In Engineering, 2015, 10:1-9.
[10] Olson, Karin, Hayduk, Leslie. Thomas, Jasmine. Comparing two approaches for studying symptom clusters:factor analysis and structural equation modeling[J]. Supportive Care In Cancer, 2014,22(1):153-161.
[11] Hayduk, Leslie A. Shame for disrespecting evidence:the personal consequences of insufficient respect for structural equation model testing[J]. Bmc Medical Research Methodology, 2014, 27(14):.
[12] Yao, Ma Wang, Huangang Xu, Wenli. Batch process monitoring based on functional data analysis and support vector data description[J]. Journal Of Process Control, JUL 2014, 24(7):1085-1097.
[2]张功林,黄吉,张文虎.配电网投资效率评估优化仿真研究[J].计算机仿真,2015, 07:106-110.
[3]王恩创,任玉珑,朱春波.基于模糊DEA的配电网投入产出综合效率评估[J].工业工程与管理,2009,02:81-87.
[4]陈璨,吴文传,张伯明.基于多场景技术的有源配电网可靠性评估[J].中国电机工程学报,2012, 34:67-73.
[5] Sheheryar Mohsin Qureshi, ChangWook Kang. Analysing the organizational factors of project complexity using structural equation modelling[J]. International Journal of Project Management,2014.
[6] Ali, Zulfiqar Sun, Hongyi Ali, Murad. The impact of managerial and adaptive capabilities to stim-ulate organizational innovation in smes:a complementary PLS-SEM approach[J]. Sustainability,2017, 12(9).
[7] Salman, Abdullahi M, Li, Yue Stewart, Mark G. Evaluating system reliability and targeted hardening strategies of power distribution systems subjected to hurricanes[J]. Reliability Engineering System Safety, 2015, 144:319-333.
[8] Wang Ling-Qun, Lin Jun, Xie Bin. Noise removal based on reconstruction of filtered principal components[J]. Chinese Journal Of Geophysics-Chinese Edition, AUG 2015, 58(8):2803-2811.
[9] Yu, Xiaobao, Zhongfu Tan, Kangting Chen. Efficiency evaluation for smart grid management based on stochastic frontier model and data envelope analyses model[J]. Mathematical Problems In Engineering, 2015, 10:1-9.
[10] Olson, Karin, Hayduk, Leslie. Thomas, Jasmine. Comparing two approaches for studying symptom clusters:factor analysis and structural equation modeling[J]. Supportive Care In Cancer, 2014,22(1):153-161.
[11] Hayduk, Leslie A. Shame for disrespecting evidence:the personal consequences of insufficient respect for structural equation model testing[J]. Bmc Medical Research Methodology, 2014, 27(14):.
[12] Yao, Ma Wang, Huangang Xu, Wenli. Batch process monitoring based on functional data analysis and support vector data description[J]. Journal Of Process Control, JUL 2014, 24(7):1085-1097.