The Experts below are selected from a list of 72942 Experts worldwide ranked by ideXlab platform
Chinwoo Tan - One of the best experts on this subject based on the ideXlab platform.
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electric vehicle charging station Placement Method for urban areas
IEEE Transactions on Smart Grid, 2019Co-Authors: Qiushi Cui, Yang Weng, Chinwoo TanAbstract:For accommodating more electric vehicles (EVs) to battle against fossil fuel emission, the problem of charging station Placement is inevitable and could be costly if done improperly. Research considers a general setup using conditions such as driving ranges for planning. However, most of the EV growths in the next decades will happen in urban areas where driving range is not the biggest concern. For such a need, we consider several practical aspects of urban systems, such as voltage regulation cost and protection device upgrade resulting from the large integration of EVs. Notably, our diversified objective can reveal the trade-off between different factors in different cities worldwide. To understand the global optimum of large-scale analysis, we studied each feature to preserve the problem convexity. Our sensitivity analysis before and after convexification shows that our approach is not only universally applicable but also has a small approximation error for prioritizing the most urgent constraint in a specific setup. Finally, numerical results demonstrate the trade-off, the relationship between different factors and the global objective, and the small approximation error. A unique observation in this paper shows the importance of incorporating the protection device upgrade in urban system planning on charging stations.
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electric vehicle charging station Placement Method for urban areas
arXiv: Systems and Control, 2018Co-Authors: Qiushi Cui, Yang Weng, Chinwoo TanAbstract:For accommodating more electric vehicles (EVs) to battle against fossil fuel emission, the problem of charging station Placement is inevitable and could be costly if done improperly. Some researches consider a general setup, using conditions such as driving ranges for planning. However, most of the EV growths in the next decades will happen in the urban area, where driving ranges is not the biggest concern. For such a need, we consider several practical aspects of urban systems, such as voltage regulation cost and protection device upgrade resulting from the large integration of EVs. Notably, our diversified objective can reveal the trade-off between different factors in different cities worldwide. To understand the global optimum of large-scale analysis, we add constraint one-by-one to see how to preserve the problem convexity. Our sensitivity analysis before and after convexification shows that our approach is not only universally applicable but also has a small approximation error for prioritizing the most urgent constraint in a specific setup. Finally, numerical results demonstrate the trade-off, the relationship between different factors and the global objective, and the small approximation error. A unique observation in this study shows the importance of incorporating the protection device upgrade in urban system planning on charging stations.
Qiushi Cui - One of the best experts on this subject based on the ideXlab platform.
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electric vehicle charging station Placement Method for urban areas
IEEE Transactions on Smart Grid, 2019Co-Authors: Qiushi Cui, Yang Weng, Chinwoo TanAbstract:For accommodating more electric vehicles (EVs) to battle against fossil fuel emission, the problem of charging station Placement is inevitable and could be costly if done improperly. Research considers a general setup using conditions such as driving ranges for planning. However, most of the EV growths in the next decades will happen in urban areas where driving range is not the biggest concern. For such a need, we consider several practical aspects of urban systems, such as voltage regulation cost and protection device upgrade resulting from the large integration of EVs. Notably, our diversified objective can reveal the trade-off between different factors in different cities worldwide. To understand the global optimum of large-scale analysis, we studied each feature to preserve the problem convexity. Our sensitivity analysis before and after convexification shows that our approach is not only universally applicable but also has a small approximation error for prioritizing the most urgent constraint in a specific setup. Finally, numerical results demonstrate the trade-off, the relationship between different factors and the global objective, and the small approximation error. A unique observation in this paper shows the importance of incorporating the protection device upgrade in urban system planning on charging stations.
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electric vehicle charging station Placement Method for urban areas
arXiv: Systems and Control, 2018Co-Authors: Qiushi Cui, Yang Weng, Chinwoo TanAbstract:For accommodating more electric vehicles (EVs) to battle against fossil fuel emission, the problem of charging station Placement is inevitable and could be costly if done improperly. Some researches consider a general setup, using conditions such as driving ranges for planning. However, most of the EV growths in the next decades will happen in the urban area, where driving ranges is not the biggest concern. For such a need, we consider several practical aspects of urban systems, such as voltage regulation cost and protection device upgrade resulting from the large integration of EVs. Notably, our diversified objective can reveal the trade-off between different factors in different cities worldwide. To understand the global optimum of large-scale analysis, we add constraint one-by-one to see how to preserve the problem convexity. Our sensitivity analysis before and after convexification shows that our approach is not only universally applicable but also has a small approximation error for prioritizing the most urgent constraint in a specific setup. Finally, numerical results demonstrate the trade-off, the relationship between different factors and the global objective, and the small approximation error. A unique observation in this study shows the importance of incorporating the protection device upgrade in urban system planning on charging stations.
Yang Weng - One of the best experts on this subject based on the ideXlab platform.
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electric vehicle charging station Placement Method for urban areas
IEEE Transactions on Smart Grid, 2019Co-Authors: Qiushi Cui, Yang Weng, Chinwoo TanAbstract:For accommodating more electric vehicles (EVs) to battle against fossil fuel emission, the problem of charging station Placement is inevitable and could be costly if done improperly. Research considers a general setup using conditions such as driving ranges for planning. However, most of the EV growths in the next decades will happen in urban areas where driving range is not the biggest concern. For such a need, we consider several practical aspects of urban systems, such as voltage regulation cost and protection device upgrade resulting from the large integration of EVs. Notably, our diversified objective can reveal the trade-off between different factors in different cities worldwide. To understand the global optimum of large-scale analysis, we studied each feature to preserve the problem convexity. Our sensitivity analysis before and after convexification shows that our approach is not only universally applicable but also has a small approximation error for prioritizing the most urgent constraint in a specific setup. Finally, numerical results demonstrate the trade-off, the relationship between different factors and the global objective, and the small approximation error. A unique observation in this paper shows the importance of incorporating the protection device upgrade in urban system planning on charging stations.
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electric vehicle charging station Placement Method for urban areas
arXiv: Systems and Control, 2018Co-Authors: Qiushi Cui, Yang Weng, Chinwoo TanAbstract:For accommodating more electric vehicles (EVs) to battle against fossil fuel emission, the problem of charging station Placement is inevitable and could be costly if done improperly. Some researches consider a general setup, using conditions such as driving ranges for planning. However, most of the EV growths in the next decades will happen in the urban area, where driving ranges is not the biggest concern. For such a need, we consider several practical aspects of urban systems, such as voltage regulation cost and protection device upgrade resulting from the large integration of EVs. Notably, our diversified objective can reveal the trade-off between different factors in different cities worldwide. To understand the global optimum of large-scale analysis, we add constraint one-by-one to see how to preserve the problem convexity. Our sensitivity analysis before and after convexification shows that our approach is not only universally applicable but also has a small approximation error for prioritizing the most urgent constraint in a specific setup. Finally, numerical results demonstrate the trade-off, the relationship between different factors and the global objective, and the small approximation error. A unique observation in this study shows the importance of incorporating the protection device upgrade in urban system planning on charging stations.
Qi Zai-kang - One of the best experts on this subject based on the ideXlab platform.
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Study of Pole Placement Method for State Feedback Constrained Autopilot Design
Computer Simulation, 2006Co-Authors: Qi Zai-kangAbstract:With the help of the pole Placement Method, the order of the nonlinear equations for the state-feedback constrained autopilot decreased. Making use of the facility in solving the pole Placement problem, the feedback gain metrics was obtained easily by settling the poles’ position. The state feedback constraints together with the state feedback gains compose the nonlinear equations. So the order of the nonlinear equations, formerly is n, now decreases to the number of the constraints. Solving the nonlinear equations, the design of the state feedback constrained autopilot can be finished. Subsequently, a roll control autopilot example was introduced to prove the correctness of the Method.
E S Kuh - One of the best experts on this subject based on the ideXlab platform.
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sequence pair based Placement Method for hard soft pre placed modules
International Symposium on Physical Design, 1998Co-Authors: Hiroshi Murata, E S KuhAbstract:This paper proposes a Placement Method for a mixed set of hard, soft, and pre-placed modules, based on a Placement topology representation called sequence-pair. Under one sequence-pair, a convex optimization problem is efficiently formulated and solved to optimize the aspect ratios of the soft modules. The Method is used in two ways: i) directly applied in simulated annealing to present the most exact Placement Method, ii) applied as a post process in an approximate Placement Method for faster computation. The performance of these two Methods are reported using MCNC benchmark examples.
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ISPD - Sequence-pair based Placement Method for hard/soft/pre-placed modules
Proceedings of the 1998 international symposium on Physical design - ISPD '98, 1998Co-Authors: Hiroshi Murata, E S KuhAbstract:This paper proposes a Placement Method for a mixed set of hard, soft, and pre-placed modules, based on a Placement topology representation called sequence-pair. Under one sequence-pair, a convex optimization problem is efficiently formulated and solved to optimize the aspect ratios of the soft modules. The Method is used in two ways: i) directly applied in simulated annealing to present the most exact Placement Method, ii) applied as a post process in an approximate Placement Method for faster computation. The performance of these two Methods are reported using MCNC benchmark examples.
