Computer Modeling Analysis of Electric Vehicle's Choice Behavior Considering Latent Variables

被引:0
|
作者
Wang, Lixiao [1 ,2 ]
Zhao, Renyuan [3 ]
Lu, Shijun [1 ,4 ]
Wang, Jianhu [1 ]
机构
[1] Xinjiang Univ, Coll Civil Engn & Architecture, Urumqi, Xinjiang, Peoples R China
[2] Xinjiang Civil Engn Technol Res Ctr, Urumqi, Xinjiang, Peoples R China
[3] Xinjiang Univ, Coll Business, Urumqi 830091, Xinjiang, Peoples R China
[4] Xinjiang Univ, Xinjiang Key Lab Bldg Struct & Earthquake Resistan, Urumqi, Xinjiang, Peoples R China
关键词
Electric Vehicle's Choice Behavior; Psychological Latent Variables; Random Parameters Logit; Hybrid Choice Model; FUEL;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
- At present, there are few researches on the influence of psychological latent variables on the choice behavior of electric vehicles, and lack of consideration of individual heterogeneity. In this study, computer modeling was used to construct not only a traditional discrete choice model that takes into account individual heterogeneity, but also a hybrid choice model,which takes into account psychological latent variables are constructed to explore the mutual effects of observable personal attributes, vehicle attributes and d ifficult to directly observe psychological latent variables on consumers' choice behavior of electric vehicles. The estimatio n results of hybrid choice model with psychological latent variables and the traditional discrete choice model without considering psychological latent variables are compared. The result show that perceived usefulness, perceived risk and purchasing attitude have a significant impact on consumers' choice behavior of electric vehicles. Compared with traditional discrete choice model, th e hybrid choice model, which takes into account psychological latent variables has significantly higher prediction accuracy and has better interpretation ability and fitting effect. The research results can provide theoretical support for further expanding the electric vehicle market and formulating relevant policieshe usage of the word Power quality in recent times acquired intensified interest due to the complex industrial processes. The usage of intelligent tools to improve power quality is increasing day by day, as assumption of present day power system as a linear model is unsatisfactory. This paper deals with analysis of Differential Evolution (DE), Hybrid Differential Evolution (HDE) and Variable Scaling Hybrid Differential Evolution for harmonic reduction in the source current with optimal tuning of PI controller gain values. Shunt Active power Filter is one of the better solution to suppress the source current harmonics which are induced into power system because of nonlinear loads. Current controller called HBCC is considered for gating operation of switches in Voltage Source Inverter. The Intelligent tuned PQ theory is used for reference current generation. The then obtained compensating currents are injected at point of common coupling for current disturbance mitigation. Simulations of MATLAB/SIMULINK environment of the present work shows the efficacy.
引用
收藏
页码:1824 / 1833
页数:10
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