Open AccessFuzzy chance constraints model based power reference optimisation of wind farm in system restoration
Author(s) -
Zhou Qian,
Huang Xiangqi,
Li Hongyi,
Zhang Junfang,
Kang Mingcai
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.9273
Subject(s) - blackout , wind power , electric power system , computer science , power (physics) , fuzzy logic , control theory (sociology) , reliability engineering , engineering , electrical engineering , control (management) , physics , quantum mechanics , artificial intelligence
During power system restoration following a blackout, it is necessary to quickly restore as many generator units as possible to accelerate the speed of the system restoration. Considering that wind power of large capacity has the advantages of fast start‐up speed, flexible access method etc., its participation in power system restoration can speed up grid recovery. However, due to wind power fluctuations, the integration of wind power during system restoration may impact the frequency of the restored system. In severe cases, the frequency of the restored system will exceed the limit, which will threaten the safety of the restored system. Consequently, the power reference of the wind farm needs to be optimised during the system restoration. Therefore, an optimisation model of power reference of the wind farm in power restoration based on the fuzzy chance constraints model was proposed in this study. The model maximises the power support of a wind farm on the basis of the safety of the restored system. Simulation results show that this method can provide more power under the condition that the system safety is guaranteed.