A mathematical approach was proposed to investigate the impact of high penetration of large-scale photovoltaic park(LPP) on small-signal stability of a power network and design of hybrid controller for these units.A s...A mathematical approach was proposed to investigate the impact of high penetration of large-scale photovoltaic park(LPP) on small-signal stability of a power network and design of hybrid controller for these units.A systematic procedure was performed to obtain the complete model of a multi-machine power network including LPP.For damping of oscillations focusing on inter-area oscillatory modes,a hybrid controller for LPP was proposed.The performance of the suggested controller was tested using a 16-machine 5-area network.The results indicate that the proposed hybrid controller for LPP provides sufficient damping to the low-frequency modes of power system for a wide range of operating conditions.The method presented in this work effectively indentifies the impact of increased PV penetration and its controller on dynamic performance of multi-machine power network containing LPP.Simulation results demonstrate that the model presented can be used in designing of essential controllers for LPP.展开更多
In the process of urbanization, the rapid growth of the number of motor vehicles aggravates the problem of parking difficulties, especially in the parking space, vehicles are not accurate positioning conditions in the...In the process of urbanization, the rapid growth of the number of motor vehicles aggravates the problem of parking difficulties, especially in the parking space, vehicles are not accurate positioning conditions in the parking field of the blindness prominent, the occupancy of special parking space is common, the vehicle in the parking behavior of the "last meter" of low efficiency. In this paper, MongoDB non-relational database and Dijkstra algorithm are used to model the location information to realize the determination of the optimal parking space based on real-time parking space in the field. By calling the Baidu API image recognition interface and the software and hardware interaction of the variable intelligence board, the target vehicle personalized path can be accurately guided. After the vehicle is placed in the vehicle, the identification of the parking behavior and the parking assistance for some vehicles are realized through the geomagnetic induction technology and intelligent video tracking and detection technology. It provides a new way of thinking to solve the end problem of "the last meter" in the difficulty of parking and realize the precise and standardized management of parking Spaces in the parking lot.展开更多
Growing private vehicle use and a limited supply of parking resources have increased competition for parking spaces.Ineffective searching for parking spaces is a significant barrier to smooth traffic flow.Smart techno...Growing private vehicle use and a limited supply of parking resources have increased competition for parking spaces.Ineffective searching for parking spaces is a significant barrier to smooth traffic flow.Smart technology-generated parking reservations are regarded as an excellent way to increase parking efficiency and lessen traffic.Although there is increased attention on smart parking research and parking reservation optimization,a scoping review is currently lacking.Therefore,the purpose of this paper is to provide a comprehensive review of the research literature related to parking reservations.Out of the original 438 publications identified in this search,99 were eventually chosen for analysis.The review categorized parking reservations into four research topics:inventory control,allocation decisions,pricing strategies,and performance evaluation.The elements considered in these research themes,modeling techniques,and evaluation criteria are explored in detail.In addition,the challenges and further enhancements of parking reservation optimization are discussed.It is believed that the findings from this study will be beneficial in further research on parking reservations.展开更多
The coexistence of manual and autonomous driving leads to a nonstandard final parking state(FPS)of adjacent vehicles.In these instances,maintaining a standard FPS for the target vehicle will engender a predicament of ...The coexistence of manual and autonomous driving leads to a nonstandard final parking state(FPS)of adjacent vehicles.In these instances,maintaining a standard FPS for the target vehicle will engender a predicament of challenging door access.To increase the comfort of passenger boarding and alighting(CPBA),this study proposes a bidirectional search hybrid A*(BHA*)method for parking path planning.First,a characterization variable for the CPBA is constructed on the basis of the allowable and required opening angles of vehicle doors under the constraint of adjacent vehicles.An optimization model for FPS is subsequently established with the comprehensive objective of the CPBA for both the target and adjacent vehicles,along with a safe distance.The genetic algorithm is then utilized to obtain the optimal FPS.Furthermore,the Voronoi potential and a bidirectional search strategy are employed to improve the hybrid A*algorithm,aiming to achieve the optimal FPS and enhance the efficiency of parking path planning.Finally,simulation experiments are conducted on the parameters of real vehicles and parking scenarios to verify the effectiveness and adaptability of the proposed method.A comparison with the hybrid A*algorithm further confirms the superiority of the proposed method in terms of search efficiency.展开更多
文摘A mathematical approach was proposed to investigate the impact of high penetration of large-scale photovoltaic park(LPP) on small-signal stability of a power network and design of hybrid controller for these units.A systematic procedure was performed to obtain the complete model of a multi-machine power network including LPP.For damping of oscillations focusing on inter-area oscillatory modes,a hybrid controller for LPP was proposed.The performance of the suggested controller was tested using a 16-machine 5-area network.The results indicate that the proposed hybrid controller for LPP provides sufficient damping to the low-frequency modes of power system for a wide range of operating conditions.The method presented in this work effectively indentifies the impact of increased PV penetration and its controller on dynamic performance of multi-machine power network containing LPP.Simulation results demonstrate that the model presented can be used in designing of essential controllers for LPP.
文摘In the process of urbanization, the rapid growth of the number of motor vehicles aggravates the problem of parking difficulties, especially in the parking space, vehicles are not accurate positioning conditions in the parking field of the blindness prominent, the occupancy of special parking space is common, the vehicle in the parking behavior of the "last meter" of low efficiency. In this paper, MongoDB non-relational database and Dijkstra algorithm are used to model the location information to realize the determination of the optimal parking space based on real-time parking space in the field. By calling the Baidu API image recognition interface and the software and hardware interaction of the variable intelligence board, the target vehicle personalized path can be accurately guided. After the vehicle is placed in the vehicle, the identification of the parking behavior and the parking assistance for some vehicles are realized through the geomagnetic induction technology and intelligent video tracking and detection technology. It provides a new way of thinking to solve the end problem of "the last meter" in the difficulty of parking and realize the precise and standardized management of parking Spaces in the parking lot.
基金supported by the National Key Research and Development Program of China (2019YFB1600300)the National Natural Science Foundation of China (NSFC) (51878062)the Fundamental Research Funds for the Central Universities (300102341303)。
文摘Growing private vehicle use and a limited supply of parking resources have increased competition for parking spaces.Ineffective searching for parking spaces is a significant barrier to smooth traffic flow.Smart technology-generated parking reservations are regarded as an excellent way to increase parking efficiency and lessen traffic.Although there is increased attention on smart parking research and parking reservation optimization,a scoping review is currently lacking.Therefore,the purpose of this paper is to provide a comprehensive review of the research literature related to parking reservations.Out of the original 438 publications identified in this search,99 were eventually chosen for analysis.The review categorized parking reservations into four research topics:inventory control,allocation decisions,pricing strategies,and performance evaluation.The elements considered in these research themes,modeling techniques,and evaluation criteria are explored in detail.In addition,the challenges and further enhancements of parking reservation optimization are discussed.It is believed that the findings from this study will be beneficial in further research on parking reservations.
基金the Open Fund of the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body at Hunan University(No.32115018)the Students Innovation Training Program of Tongji University(No.S202310247417)the Interdisciplinary Joint Research Project of Tongji University in 2023(No.2023-2-ZD-09).
文摘The coexistence of manual and autonomous driving leads to a nonstandard final parking state(FPS)of adjacent vehicles.In these instances,maintaining a standard FPS for the target vehicle will engender a predicament of challenging door access.To increase the comfort of passenger boarding and alighting(CPBA),this study proposes a bidirectional search hybrid A*(BHA*)method for parking path planning.First,a characterization variable for the CPBA is constructed on the basis of the allowable and required opening angles of vehicle doors under the constraint of adjacent vehicles.An optimization model for FPS is subsequently established with the comprehensive objective of the CPBA for both the target and adjacent vehicles,along with a safe distance.The genetic algorithm is then utilized to obtain the optimal FPS.Furthermore,the Voronoi potential and a bidirectional search strategy are employed to improve the hybrid A*algorithm,aiming to achieve the optimal FPS and enhance the efficiency of parking path planning.Finally,simulation experiments are conducted on the parameters of real vehicles and parking scenarios to verify the effectiveness and adaptability of the proposed method.A comparison with the hybrid A*algorithm further confirms the superiority of the proposed method in terms of search efficiency.
