Open AccessMethod of adapting to grid recovery in extreme weather conditions
Author(s) -
Luo Gang,
Xu Wei,
Liu Chongru,
Qian Feng,
Yang Yinguo,
Liu Junlei
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0728
Subject(s) - blackout , extreme weather , computer science , grid , reliability engineering , power (physics) , electric power system , power grid , path (computing) , generator (circuit theory) , scale (ratio) , engineering , mathematics , computer network , ecology , physics , geometry , quantum mechanics , climate change , biology
A reasonable recovery strategy for power system is important for the rapid recovery of the grid after a large‐scale blackout. Based on the idea of timing restoration decision and taking into account the influence of extreme weather, a restoration strategy of power grid is proposed to avoid the affection of extreme weather on selecting transmission paths and generators and minimise the risk of a secondary failure in system recovery. Firstly, the recovery model of power elements in the case of extreme weather is established, and the improved Dijiestra algorithm is used to find the optimal path of the target generator. Secondly, the dynamic ordering of the generators is carried out considering the maximum power generation capacity during the grid recovery time, where the effects of various safety constraints and extreme weather on outputs of generators are taken into account. The validity and practicability of the proposed method are verified by the IEEE30 node system and the actual Guangdong power grid.