Open AccessActive control method of large‐scale wind integrated power system with enhanced reactive power support for wind speed fluctuation
Author(s) -
Ouyang Jinxin,
Li Mengyang,
Diao Yanbo,
Tang Ting,
Xie Qiyuan
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5418
Subject(s) - ac power , wind power , wind speed , control theory (sociology) , turbine , power optimizer , variable speed wind turbine , voltage , power (physics) , power control , automotive engineering , engineering , computer science , maximum power point tracking , electrical engineering , control (management) , meteorology , permanent magnet synchronous generator , physics , aerospace engineering , artificial intelligence , inverter , quantum mechanics
A regional power grid containing high‐density wind power is generally connected to a load centre through long‐distance transmission lines. Voltage problems, caused by wind speed fluctuation, in the sending‐end grid have become increasingly serious. The variable speed wind turbine has been used to compensate the deficit in reactive power. However, the available methods could not meet the requirement because the controllable range of reactive power contributed by wind farms cannot be adjusted. A new idea of reactive power control realised by the active control before wind speed fluctuation was proposed to prevent the voltage variation. Firstly, the influence of wind speed fluctuation on voltage was analysed, and the power controllable range of wind turbines was studied. The principle and strategy of the active control of reactive power were proposed based on the model predictive control theory. Then, the active control model was established according to the system dynamic demand for reactive power. According to wind speed forecasting, the reactive control capability of wind turbine was excavated to meet the grid demand by adjusting active power before wind speed variation, and the reduced active power of wind farms is optimally compensated by thermal powers. Finally, the method was proven to solve voltage problems.