Excerpts: The rapid economic development of cities provides the material basis for the transformation of the oldcities. The reconstruction of streets is the first issue being looked at. In the past few years,experienc...Excerpts: The rapid economic development of cities provides the material basis for the transformation of the oldcities. The reconstruction of streets is the first issue being looked at. In the past few years,experiences have beengained and problems encountered. For instance, only some sections of the streets are reconstructed, the scale and de-velopment program of reconstruction are decided without any comprehensive, conceptual planning program, Thispaper attempts to analyse the reasons and defects of the past practice and some suggestions are made on improve-ment measures. It is pointed out in particular, that the transformation of streets should be based in the need, devel-opment potential, characteristics and specific role of the cities in order to enable the streets to be reconstructed incoordination with the transformation of the cities as a whole.展开更多
With the increasing penetration of renewable energy generation,uncertainty and randomness pose great challenges for optimal dispatching in distribution networks.We propose a cloud-edge cooperative dispatching(CECD)met...With the increasing penetration of renewable energy generation,uncertainty and randomness pose great challenges for optimal dispatching in distribution networks.We propose a cloud-edge cooperative dispatching(CECD)method to exploit the new opportunities offered by Internet of Things(IoT)technology.To alleviate the huge pressure on the modeling and computing of large-scale distribution system,the method deploys edge nodes in small-scale transformer areas in which robust optimization subproblem models are introduced to address the photovoltaic(PV)uncertainty.Considering the limited communication and computing capabilities of the edge nodes,the cloud center in the distribution automation system(DAS)establishes a utility grid master problem model that enforces the consistency between the solution at each edge node with the utility grid based on the alternating direction method of multipliers(ADMM).Furthermore,the voltage constraint derived from the linear power flow equations is adopted for enhancing the operation security of the distribution network.We perform a cloud-edge system simulation of the proposed CECD method and demonstrate a dispatching application.The case study is carried out on a modified 33-node system to verify the remarkable performance of the proposed model and method.展开更多
文摘Excerpts: The rapid economic development of cities provides the material basis for the transformation of the oldcities. The reconstruction of streets is the first issue being looked at. In the past few years,experiences have beengained and problems encountered. For instance, only some sections of the streets are reconstructed, the scale and de-velopment program of reconstruction are decided without any comprehensive, conceptual planning program, Thispaper attempts to analyse the reasons and defects of the past practice and some suggestions are made on improve-ment measures. It is pointed out in particular, that the transformation of streets should be based in the need, devel-opment potential, characteristics and specific role of the cities in order to enable the streets to be reconstructed incoordination with the transformation of the cities as a whole.
基金This work was supported by the Science and Technology Program of State Grid Corporation of China(No.521002190049).
文摘With the increasing penetration of renewable energy generation,uncertainty and randomness pose great challenges for optimal dispatching in distribution networks.We propose a cloud-edge cooperative dispatching(CECD)method to exploit the new opportunities offered by Internet of Things(IoT)technology.To alleviate the huge pressure on the modeling and computing of large-scale distribution system,the method deploys edge nodes in small-scale transformer areas in which robust optimization subproblem models are introduced to address the photovoltaic(PV)uncertainty.Considering the limited communication and computing capabilities of the edge nodes,the cloud center in the distribution automation system(DAS)establishes a utility grid master problem model that enforces the consistency between the solution at each edge node with the utility grid based on the alternating direction method of multipliers(ADMM).Furthermore,the voltage constraint derived from the linear power flow equations is adopted for enhancing the operation security of the distribution network.We perform a cloud-edge system simulation of the proposed CECD method and demonstrate a dispatching application.The case study is carried out on a modified 33-node system to verify the remarkable performance of the proposed model and method.
