Currently,the photovoltaic（ PV） cloud network is an important research point in energy Internet. From the perspective of the robustness analysis of PV cloud network,traditional robustness index,the relative size of ...Currently,the photovoltaic（ PV） cloud network is an important research point in energy Internet. From the perspective of the robustness analysis of PV cloud network,traditional robustness index,the relative size of the giant connected component before and after the cascading,which is focused on the giant component,is not appropriate for the distributed PV network because of the big difference between PV generators and large power grid. In this paper,a new index is proposed,the minimum removed nodes number（ MRNN）,which can make the entire system collapse,to evaluate the robustness of PV cloud network system. Simulation results show that MRNN can clearly indicate the system robustness under different parameters.展开更多
基金This work was supported by the National Natural Science Foundation of China （61125303）, the Program for Science and Technology in Wuhan, China （2014010101010004）, the Program for Changjiang Scholars and Innovative Research Team in University of China （IRTt245）, China Three Gorges University Science Foundation （KJ2013B020）, Hubei Key Laboratory of Cascaded Hydropower Stations Operation and Control Program （2013KJX12）, and Hubei Science and Technology Support Program （2015BAA106）
基金supported by the Beijing Municipal Science Technology Commission Research(Z171100000317003)
文摘Currently,the photovoltaic（ PV） cloud network is an important research point in energy Internet. From the perspective of the robustness analysis of PV cloud network,traditional robustness index,the relative size of the giant connected component before and after the cascading,which is focused on the giant component,is not appropriate for the distributed PV network because of the big difference between PV generators and large power grid. In this paper,a new index is proposed,the minimum removed nodes number（ MRNN）,which can make the entire system collapse,to evaluate the robustness of PV cloud network system. Simulation results show that MRNN can clearly indicate the system robustness under different parameters.
