The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Hongbin Sun - One of the best experts on this subject based on the ideXlab platform.
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coordinated multi area economic dispatch via critical region projection
IEEE Transactions on Power Systems, 2017Co-Authors: Ye Guo, Lang Tong, Boming Zhang, Hongbin SunAbstract:A coordinated economic dispatch method for multiarea power systems is proposed. Choosing boundary phase angles as coupling variables, the proposed method exploits the structure of critical regions in local problems defined by active and inactive constraints. For a fixed boundary state given by the coordinator, local operators compute the coefficients of critical regions containing the boundary state and the optimal value functions then communicate them to the coordinator who in turn optimizes the boundary state to minimize the overall cost. By iterating between local operators and the coordinator, the proposed Algorithm Converges to the global optimal solution in finite steps, and it requires limited information sharing.
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coordinated multi area economic dispatch via critical region projection
arXiv: Optimization and Control, 2016Co-Authors: Ye Guo, Lang Tong, Boming Zhang, Hongbin SunAbstract:A coordinated economic dispatch method for multi-area power systems is proposed. Choosing boundary phase angles as coupling variables, the proposed method exploits the structure of critical regions in local problems defined by active and inactive constraints. For a fixed boundary state given by the coordinator, local operators compute the coefficients of critical regions containing the boundary state and of the optimal cost functions then communicate them to the coordinator who in turn optimizes the boundary state to minimize the overall cost. By iterating between local operators and the coordinator, the proposed Algorithm Converges to the global optimal solution in finite steps, and it requires limited information sharing.
Yekini Shehu - One of the best experts on this subject based on the ideXlab platform.
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a strong convergence result involving an inertial forward backward Algorithm for monotone inclusions
Journal of Fixed Point Theory and Applications, 2017Co-Authors: Qiaoli Dong, Yekini Shehu, Dan Jiang, Prasit CholamjiakAbstract:Our interest in this paper is to prove a strong convergence result for finding a zero of the sum of two monotone operators, with one of the two operators being co-coercive using an iterative method which is a combination of Nesterov’s acceleration scheme and Haugazeau’s Algorithm in real Hilbert spaces. Our numerical results show that the proposed Algorithm Converges faster than the un-accelerated Haugazeau’s Algorithm.
Ye Guo - One of the best experts on this subject based on the ideXlab platform.
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coordinated multi area economic dispatch via critical region projection
IEEE Transactions on Power Systems, 2017Co-Authors: Ye Guo, Lang Tong, Boming Zhang, Hongbin SunAbstract:A coordinated economic dispatch method for multiarea power systems is proposed. Choosing boundary phase angles as coupling variables, the proposed method exploits the structure of critical regions in local problems defined by active and inactive constraints. For a fixed boundary state given by the coordinator, local operators compute the coefficients of critical regions containing the boundary state and the optimal value functions then communicate them to the coordinator who in turn optimizes the boundary state to minimize the overall cost. By iterating between local operators and the coordinator, the proposed Algorithm Converges to the global optimal solution in finite steps, and it requires limited information sharing.
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coordinated multi area economic dispatch via critical region projection
arXiv: Optimization and Control, 2016Co-Authors: Ye Guo, Lang Tong, Boming Zhang, Hongbin SunAbstract:A coordinated economic dispatch method for multi-area power systems is proposed. Choosing boundary phase angles as coupling variables, the proposed method exploits the structure of critical regions in local problems defined by active and inactive constraints. For a fixed boundary state given by the coordinator, local operators compute the coefficients of critical regions containing the boundary state and of the optimal cost functions then communicate them to the coordinator who in turn optimizes the boundary state to minimize the overall cost. By iterating between local operators and the coordinator, the proposed Algorithm Converges to the global optimal solution in finite steps, and it requires limited information sharing.
Boming Zhang - One of the best experts on this subject based on the ideXlab platform.
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coordinated multi area economic dispatch via critical region projection
IEEE Transactions on Power Systems, 2017Co-Authors: Ye Guo, Lang Tong, Boming Zhang, Hongbin SunAbstract:A coordinated economic dispatch method for multiarea power systems is proposed. Choosing boundary phase angles as coupling variables, the proposed method exploits the structure of critical regions in local problems defined by active and inactive constraints. For a fixed boundary state given by the coordinator, local operators compute the coefficients of critical regions containing the boundary state and the optimal value functions then communicate them to the coordinator who in turn optimizes the boundary state to minimize the overall cost. By iterating between local operators and the coordinator, the proposed Algorithm Converges to the global optimal solution in finite steps, and it requires limited information sharing.
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coordinated multi area economic dispatch via critical region projection
arXiv: Optimization and Control, 2016Co-Authors: Ye Guo, Lang Tong, Boming Zhang, Hongbin SunAbstract:A coordinated economic dispatch method for multi-area power systems is proposed. Choosing boundary phase angles as coupling variables, the proposed method exploits the structure of critical regions in local problems defined by active and inactive constraints. For a fixed boundary state given by the coordinator, local operators compute the coefficients of critical regions containing the boundary state and of the optimal cost functions then communicate them to the coordinator who in turn optimizes the boundary state to minimize the overall cost. By iterating between local operators and the coordinator, the proposed Algorithm Converges to the global optimal solution in finite steps, and it requires limited information sharing.
Lang Tong - One of the best experts on this subject based on the ideXlab platform.
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coordinated multi area economic dispatch via critical region projection
IEEE Transactions on Power Systems, 2017Co-Authors: Ye Guo, Lang Tong, Boming Zhang, Hongbin SunAbstract:A coordinated economic dispatch method for multiarea power systems is proposed. Choosing boundary phase angles as coupling variables, the proposed method exploits the structure of critical regions in local problems defined by active and inactive constraints. For a fixed boundary state given by the coordinator, local operators compute the coefficients of critical regions containing the boundary state and the optimal value functions then communicate them to the coordinator who in turn optimizes the boundary state to minimize the overall cost. By iterating between local operators and the coordinator, the proposed Algorithm Converges to the global optimal solution in finite steps, and it requires limited information sharing.
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coordinated multi area economic dispatch via critical region projection
arXiv: Optimization and Control, 2016Co-Authors: Ye Guo, Lang Tong, Boming Zhang, Hongbin SunAbstract:A coordinated economic dispatch method for multi-area power systems is proposed. Choosing boundary phase angles as coupling variables, the proposed method exploits the structure of critical regions in local problems defined by active and inactive constraints. For a fixed boundary state given by the coordinator, local operators compute the coefficients of critical regions containing the boundary state and of the optimal cost functions then communicate them to the coordinator who in turn optimizes the boundary state to minimize the overall cost. By iterating between local operators and the coordinator, the proposed Algorithm Converges to the global optimal solution in finite steps, and it requires limited information sharing.