Pitch control method and system based on cooperative optimization for offshore wind farm

A pitch control system based on cooperative optimization for an offshore wind farm, comprising:

• an arithmetic processing unit, configured to determine a power control signal by processing wind turbine parameters and wind speed data of the offshore wind farm, with a control objective of maximizing output power of the offshore wind farm;
• a single-turbine controller, configured to generate a load reduction control signal utilizing key features affecting power outputs of wind turbines in combination with a linear time-invariant dynamic model for the wind turbines;
• a control unit, configured to:
• acquire the power control signal and the load reduction control signal of each wind turbine cluster;
• and
• generate, according to the power control signal and the load reduction control signal, a pitch control command based on a preset optimal control objective, and transmit the pitch control command to a corresponding pitch control action execution mechanism for pitch control, a pitch control action execution unit, configured to acquire the pitch control command and perform pitch control,
• wherein, the generating, according to the power control signal and the load reduction control signal, a pitch control command based on a preset optimal control objective specifically comprises:
• performing iterative optimization with objectives of fatigue management and power optimization according to a unified component corresponding to the power control signal and a cosine component and a sine component corresponding to the load reduction control signal, to generate the pitch control command;
• determining the power control signal by processing wind turbine parameters and wind speed data of the offshore wind farm, with a control objective of maximizing output power of the offshore wind farm specifically comprises:
• performing iterative optimization based on the wind turbine parameters of the wind turbine cluster, with a wind speed of the wind turbine cluster as an input, a shielding effect of the wind turbines on incoming wind as an optimization parameter, and a dispatching objective of maximizing output power of the entire wind farm to determine the power control signal of each wind turbine cluster,
• wherein, wind speed data of a downstream wind turbine cluster is determined according to wind speed data of an upstream wind turbine cluster;
• and
• generating the load reduction control signal utilizing key features affecting power outputs of wind turbines in combination with a linear time-invariant dynamic model for the wind turbines specifically comprises:
• acquiring a nonlinear aerodynamic motion equation of a wind generator set and performing linearization to establish a linearized dynamic equation model;
• and
• transforming a linearized aerodynamic load model into a state-space model for wind turbine loads by using MBC coordinate transformation, and solving the state-space model for the wind turbine load through a control algorithm to generate the load reduction control signal.