@ARTICLE{ iet:/content/journals/10.1049/joe.2018.8518, author = {Qian Xiong}, author = {Yong Li}, author = {Hai Peng}, author = {Xi Zhang}, author = {Youbo Liu}, author = {Xianglong Liu}, keywords = {load transfer capability;computation burden;hybrid urban grid;DC transmission technique;control measurement;core components;urban transmission networks;coordinative control model;insufficient planning;electricity load;adjusting capacity;electric vehicles;alleviating congestion;urban transmission congestion;system topological structure;congestion lines;high-voltage distribution network;AC-line switching;system scale;discrete load transfer amount;VSC-control;voltage source converter;HVDN;urban congestion;load curtailment;transmission network;}, language = {English}, abstract = {As electricity load in large cities overgrows these years, mainly due to the increasing penetration of electric vehicles, the urban transmission networks are subject to the high risk of congestion because of insufficient planning. Reconfigure the high-voltage distribution network (HVDN) is an efficient way to mitigate the urban congestion. However, the discrete load transfer amount is not precise that might cause load curtailment, and the computation burden is also heavy when the system scale is enormous. In recent years, the emergence of voltage source converter (VSC) as the core components of DC transmission technique provides a new control measurement featuring fast and flexible. Nevertheless, its adjusting capacity is limited and subject to the system topological structure. Thus this paper proposed a coordinative control model that combines the load transfer capability of the HVDN and flexible and precise control of VSC to alleviate the urban transmission congestion. Numerical results showed that the congestion lines could be efficiently relieved thus defer further investment in the transmission network.}, title = {Alleviating congestion of hybrid urban grid by VSC-control and AC-line switching}, journal = {The Journal of Engineering}, issue = {16}, volume = {2019}, year = {2019}, month = {March}, pages = {1763-1766(3)}, publisher ={Institution of Engineering and Technology}, copyright = {This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)}, url = {https://digital-library.theiet.org/;jsessionid=9nv96lsk8m8g.x-iet-live-01content/journals/10.1049/joe.2018.8518} }