Abstract: A load control method and a load control apparatus for a wind turbine generator system are provided, and the load control method includes: obtaining feature parameters of the wind turbine generator system for load prediction; obtaining a load estimation value of the wind turbine generator system by inputting the obtained feature parameters into a virtual load sensor; adjusting a control strategy of the wind turbine generator system based on the obtained load estimation value. A controller and a computer readable storage medium storing a computer program are further included. With the load control method and apparatus for the wind turbine generator system, a trained virtual load sensor can be used to realize real-time monitoring of the load of the on-site wind turbine generator system, and a reference for adjusting the control strategy can be provided according to the load.

Abstract: A power control method and apparatus for a wind power generator. The power control method comprises: predicting, according to historical wind resource data, wind resource data within a predetermined future time period (S10); estimating, according to the remaining design lifetime of a wind power generator, the maximum design lifetime allowed to be consumed within the predetermined future time period (S20); determining, according to the predicted wind resource data and the estimated maximum design lifetime, optimal output powers of the wind power generator in respective wind velocity ranges within the predetermined future time period (S30); and controlling operation of the wind power generator according to the determined optimal output powers of the wind power generator in the respective wind velocity ranges within the predetermined future time period (S40).

Abstract: The present disclosure provides a method and an apparatus for self-adaption of a cut-out strategy. The method may include: predicting, using a wind speed prediction model, a wind resource parameter of a wind turbine at each machine location; predicting, using a load prediction model, a fatigue load and a limit load of the wind turbine based on the predicted wind resource parameter and an air density; comparing the predicted fatigue load and limit load with a reference load; and determining the cut-out strategy based on a result of the comparison, wherein determining the cut-out strategy includes determining a cut-out wind speed and an output power.

Abstract: A method and a system for controlling a wind turbine based on sectors. Original sectors of the wind turbine are reconstructed based on a wind resource parameter and a wake-flow effect. A load is calculated and superposed for a new sector obtained from the sector reconstruction. An optimization algorithm is applied, under a condition that a constraint condition of a fatigue load is met, to find an operation parameter for maximum power generation amount of the wind turbine.

Abstract: A method and a device for detecting an active power of a wind turbine. The method includes: acquiring a current rotation speed of a rotor of a wind turbine and a current outputted active power; determining an effective wind speed of the wind turbine; determining a maximum active power capable to be captured by the wind turbine at the current rotation speed; determining a maximum active power capable to be outputted by the wind turbine, and determining a release power at which the wind turbine is capable to release a rotation kinetic energy of the wind turbine for a predetermined time at the current rotation speed; and determining the available active power of the wind turbine, based on the maximum active power capable to be outputted, the release power, and the current outputted active power.

Abstract: The present disclosure provides a method and an apparatus for self-adaption of a cut-out strategy. The method may include: predicting, using a wind speed prediction model, a wind resource parameter of a wind turbine at each machine location; predicting, using a load prediction model, a fatigue load and a limit load of the wind turbine based on the predicted wind resource parameter and an air density; comparing the predicted fatigue load and limit load with a reference load; and determining the cut-out strategy based on a result of the comparison, wherein determining the cut-out strategy includes determining a cut-out wind speed and an output power.

Abstract: A method and a system for controlling a wind turbine based on sectors. Original sectors of the wind turbine are reconstructed based on a wind resource parameter and a wake-flow effect. A load is calculated and superposed for a new sector obtained from the sector reconstruction. An optimization algorithm is applied, under a condition that a constraint condition of a fatigue load is met, to find an operation parameter for maximum power generation amount of the wind turbine.

Abstract: A method and a device for detecting an active power of a wind turbine. The method includes: acquiring a current rotation speed of a rotor of a wind turbine and a current outputted active power; determining an effective wind speed of the wind turbine; determining a maximum active power capable to be captured by the wind turbine at the current rotation speed; determining a maximum active power capable to be outputted by the wind turbine, and determining a release power at which the wind turbine is capable to release a rotation kinetic energy of the wind turbine for a predetermined time at the current rotation speed; and determining the available active power of the wind turbine, based on the maximum active power capable to be outputted, the release power, and the current outputted active power.

Abstract: A power control method and apparatus for a wind power generator. The power control method comprises: predicting, according to historical wind resource data, wind resource data within a predetermined future time period (S10); estimating, according to the remaining design lifetime of a wind power generator, the maximum design lifetime allowed to be consumed within the predetermined future time period (S20); determining, according to the predicted wind resource data and the estimated maximum design lifetime, optimal output powers of the wind power generator in respective wind velocity ranges within the predetermined future time period (S30); and controlling operation of the wind power generator according to the determined optimal output powers of the wind power generator in the respective wind velocity ranges within the predetermined future time period (S40).

Abstract: A method for controlling wind alignment correction of a wind turbine comprises: acquiring environmental wind speed values, wind alignment angle measured values, and generated power values of the wind turbine in real time; dividing each acquired environmental wind speed value into multiple wind speed sections according to the magnitude of the environmental wind speed value, and extracting wind alignment angle measured values and generated power values in at least one wind speed section; determining a maximum value of extracted generated power values in each wind speed section; calculating a wind alignment correction deviation of the wind turbine according to a wind alignment angle measured value corresponding to the maximum value; and performing correction processing on a subsequently acquired wind alignment angle measured value by using the wind alignment correction deviation.

Abstract: A method for controlling wind alignment correction of a wind turbine comprises: acquiring environmental wind speed values, wind alignment angle measured values, and generated power values of the wind turbine in real time; dividing each acquired environmental wind speed value into multiple wind speed sections according to the magnitude of the environmental wind speed value, and extracting wind alignment angle measured values and generated power values in at least one wind speed section; determining a maximum value of extracted generated power values in each wind speed section; calculating a wind alignment correction deviation of the wind turbine according to a wind alignment angle measured value corresponding to the maximum value; and performing correction processing on a subsequently acquired wind alignment angle measured value by using the wind alignment correction deviation.