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        Dynamic Bidirectional Relationship Between Urban Rail Transit and Urban Economy Agglomeration: A Case Study in China

        Mingyuan Li,Hongru Yu,Qingqiao Geng,Yuanli Gu 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.1

        Based on operation kilometers, amounts and station numbers of urban rail transit (URT) lines in a city, this study utilizes simultaneous panel data equations (SPDE) to comprehensively analyze the bidirectional dynamics of urban rail transit (URT) on urban economies. Drawing on data from 2010 to 2019 across 40 Chinese cities, we rigorously examine the SPDE model's robustness through elastic analysis and placebo tests. Economic variables within the SPDE framework are aggregated based on geographic population scales, yielding new endogenous variables that facilitate a deeper exploration of URT's impact on economic agglomeration. Our findings highlight URT's positive spillover effects, promoting both geographic and demographic economic agglomeration. Nevertheless, it is imperative to note that URT's capacity to ameliorate economic conditions remains constrained in cities with sluggish or stagnant development.

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        Equivalent and identification of integrated coupling parameter of variable speed constant frequency brushless doubly fed generator

        Yiding Wang,Jianhui Su,Jidong Lai,Bao Xie,Yong Shi,Hongru Yu 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.1

        Brushless doubly fed generator (BDFG) generally adopts double closed-loop vector control strategies. Owing to the influence of BDFG coupling parameters, the accuracy of feedforward decoupling parameters is very important; however, the complexity of the BDFG model makes its winding parameters difficult to identify. On the basis of the characteristics of the BDFG system control model and the decoupling control conditions, this study proposes a method for identifying the integrated coupling parameter. This method first uses particle swarm optimization to identify the coefficients of the current closed-loop transfer function. Then, the values of the integrated coupling parameters are calculated on the basis of the relationship between the coefficients of the current closed-loop transfer function and the integrated coupling parameters of the BDFG. This method bypasses the challenge of directly identifying BDFG winding parameters and can be used directly to design the controller. Experiments are performed using a 30 kW BDFG platform to prove the feasibility and effectiveness of the proposed method.

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