CN-122000934-A - Wind power plant frequency control method and system with wind power storage cooperatively regulated

CN122000934ACN 122000934 ACN122000934 ACN 122000934ACN-122000934-A

Abstract

The invention discloses a wind power field frequency control method and system with wind storage cooperative regulation, which relate to the technical field of new energy power generation and comprise the following steps: obtaining wind speed prediction, energy storage state and frequency deviation information, performing time-frequency transformation on the wind speed prediction information to obtain power fluctuation characteristics, calculating compensation capacity coefficients based on the energy storage state, determining a fluctuation tolerance range of a wind turbine generator set, generating vibration reduction instructions, constructing a virtual power transmission channel between wind storage nodes, setting virtual impedance parameters to realize coordination control, generating an advanced compensation sequence by combining phase information, superposing the advanced compensation sequence with frequency response requirements to form an energy storage adjustment instruction, and executing the vibration reduction instructions and the adjustment instruction to realize accurate compensation of wind power actual fluctuation. The invention fully utilizes the characteristics of wind storage equipment and improves the accuracy and coordination of frequency control.

Inventors

YANG CHUNJIA
ZHU SIJIE
CHEN JIABIN
QIAO HAIXIANG
TAN GUANMING
LIU DEWEN
Zeng Yuanchao
GAO JINGXIANG
YOU HUI
Hu Pigui
HU YIJUN

Assignees

深圳市建融新能源科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260209

Claims (10)

1. The wind power plant frequency control method with the wind power storage coordinated regulation is characterized by comprising the following steps of: acquiring wind speed prediction information, energy storage charge state information and power grid frequency deviation information; Performing time-frequency conversion on the wind speed prediction information to obtain a power fluctuation frequency spectrum, and extracting amplitude information and phase information of frequency components; calculating energy storage sustainable compensation duration according to the energy storage state of charge information, and performing coupling operation on the energy storage sustainable compensation duration and the amplitude information to generate a compensation capacity coefficient; Reversely calculating the frequency domain fluctuation allowable range of the wind turbine generator according to the compensation capacity coefficient, and generating a wind power vibration reduction instruction when the power fluctuation frequency spectrum exceeds the frequency domain fluctuation allowable range; Constructing a virtual power transmission channel between the wind power node and the energy storage node, and setting virtual impedance parameters for the virtual power transmission channel according to the compensation capacity coefficient; calculating a phase advance angle according to the phase information, converting the phase advance angle into a time advance, generating an advance compensation sequence according to the time advance, determining a frequency response power demand according to the power grid frequency deviation information, and performing time sequence superposition on the frequency response power demand and the advance compensation sequence to generate an energy storage comprehensive adjustment instruction; Executing a wind power vibration reduction instruction and an energy storage comprehensive adjustment instruction, collecting wind power actual fluctuation, calculating frequency domain deviation of a frequency spectrum of the wind power fluctuation, and distributing the frequency domain deviation to wind power nodes and energy storage nodes for compensation according to virtual impedance parameters.
2. The method of claim 1, wherein performing time-frequency conversion on wind speed prediction information to obtain a power fluctuation spectrum, and extracting frequency component amplitude information and phase information comprises: data acquisition is carried out on the wind speed prediction information according to a preset sampling interval, a wind speed difference value of adjacent sampling points is calculated, the sliding window length is set according to the wind speed difference value, the wind speed prediction information is segmented, and a segmented wind speed sequence is generated; Performing wind speed-rotating speed mapping on the segmented wind speed sequence to obtain a rotating speed signal, and performing rotating speed-power mapping on the rotating speed signal and a generator power curve to generate a power time sequence signal; performing multi-layer wavelet decomposition on the power time sequence signal according to a preset scale to generate a frequency band coefficient matrix, and calculating frequency band weight according to the energy distribution of the frequency band coefficient matrix; multiplying the frequency band weight with the frequency band coefficient matrix to obtain a weighting coefficient matrix, and carrying out reconstruction operation on the weighting coefficient matrix to obtain a power fluctuation frequency spectrum; and carrying out Fourier transform on the power fluctuation frequency spectrum to generate an amplitude matrix and a phase matrix, and extracting frequency component amplitude information and phase information from the amplitude matrix and the phase matrix respectively.
3. The method of claim 1, wherein calculating an energy storage sustainable compensation duration based on the energy storage state of charge information, coupling the energy storage sustainable compensation duration with the amplitude information, and generating the compensation capability coefficient comprises: collecting voltage information and current information in energy storage state of charge information, calculating energy storage instantaneous power and residual capacity, and calculating power regulation rate according to instantaneous power change trend; Establishing a compensation characteristic curve by combining the power regulation rate with the residual capacity, and extracting a power regulation upper limit value and a power regulation lower limit value from the compensation characteristic curve; calculating the energy storage power capacity ratio according to the power regulation upper limit value, the power regulation lower limit value and the residual capacity, and calculating the energy storage sustainable compensation duration by combining the power capacity ratio; Wavelet transformation is carried out on the amplitude information to obtain different frequency components, and the fluctuation period corresponding to each frequency component is calculated; And performing cross mapping on the energy storage sustainable compensation duration and the fluctuation period to generate a compensation coefficient matrix, performing nonlinear coupling calculation on the compensation coefficient matrix, and performing weighted combination on a nonlinear coupling calculation result and the frequency component to generate a compensation capacity coefficient.
4. The method of claim 1, wherein calculating the wind turbine frequency domain fluctuation tolerance in reverse from the compensation capability coefficient, and generating the wind power damping command when the power fluctuation spectrum exceeds the frequency domain fluctuation tolerance comprises: Performing wavelet decomposition on the compensation capacity coefficient to obtain a frequency component, and calculating the compensation response speed, the compensation capacity and the compensation loss rate of the frequency component; calculating the actual compensation capacity according to the compensation loss rate and the compensation capacity, carrying out combined operation on the actual compensation capacity and the compensation response speed to obtain a power adjustment interval and a power adjustment slope, and setting a frequency domain fluctuation tolerance range through the power adjustment interval and the power adjustment slope; Carrying out wavelet decomposition on the power fluctuation spectrum to obtain a fluctuation component, and calculating an amplitude parameter, a phase parameter and a change direction parameter of the fluctuation component; Combining the change direction parameter with the amplitude parameter to obtain a power change quantity, comparing the power change quantity with a frequency domain fluctuation allowable range to calculate an amplitude overrun quantity and a phase overrun quantity, and determining a vibration reduction frequency band according to the amplitude overrun quantity and the phase overrun quantity; Reading the operation parameters of the fan according to the vibration reduction frequency band, converting the amplitude overrun into a pitch angle reference value, converting the phase overrun into a pitch angle advance value, and combining to obtain pitch angle adjustment parameters; And carrying out matching operation on the pitch angle adjusting parameter, the fan rotating speed parameter and the wind speed parameter, outputting a pitch angle adjusting value and an adjusting time sequence, and generating a wind power vibration reduction instruction.
5. The method of claim 1, wherein constructing a virtual power transfer path between the wind power node and the energy storage node, and wherein setting virtual impedance parameters for the virtual power transfer path based on the compensation capacity coefficient comprises: Collecting voltage parameters and current parameters of the wind power node, voltage parameters and current parameters of the energy storage node, and calculating to obtain an instantaneous power value; Calculating a power transmission direction parameter and a power transmission amplitude according to the instantaneous power value; Calculating a line loss coefficient and a time delay coefficient according to the power transmission direction parameter and the power transmission amplitude value, and combining to generate a transmission characteristic parameter; performing wavelet decomposition on the compensation capacity coefficient to obtain a frequency band coefficient, extracting a compensation gain value and a compensation delay value from the frequency band coefficient, multiplying the compensation gain value by a line loss coefficient to obtain a virtual resistance value, and multiplying the compensation delay value by a time delay coefficient to obtain a virtual inductance value; Generating impedance parameters by combining the virtual resistance value and the virtual inductance value according to the frequency band, and carrying out mapping operation on the impedance parameters and the transmission characteristic parameters to obtain a matching coefficient; calculating an impedance reference parameter according to the matching coefficient, calculating an impedance adjustment parameter according to the impedance reference parameter and the transmission characteristic parameter, and combining the impedance reference parameter and the impedance adjustment parameter to form a virtual impedance parameter; And adjusting the power transmission direction parameter and the power transmission amplitude according to the virtual impedance parameter to construct a virtual power transmission channel.
6. The method of claim 1, wherein calculating a phase lead angle from the phase information and converting to a time lead, generating a lead compensation sequence from the time lead, determining a frequency response power demand from grid frequency deviation information, time-sequentially superimposing the frequency response power demand and the lead compensation sequence, and generating the stored energy integrated regulation command comprises: Performing wavelet decomposition on the phase information to obtain an amplitude component and an angle component, constructing a fluctuation matrix according to the amplitude component, constructing a compensation matrix according to the angle component, and performing orthogonal decomposition on the fluctuation matrix and the compensation matrix to form a phase variation; Singular value decomposition is carried out on the phase change quantity to obtain a corrected amplitude, a compensation parameter is constructed according to the corrected amplitude, and orthogonal transformation is carried out on the compensation parameter and the corrected amplitude to generate a phase lead angle; Performing feature mapping on the phase lead angle and the fluctuation matrix to obtain a time sequence parameter, extracting a compensation time length according to the time sequence parameter, and converting the compensation time length to generate a time advance; calculating frequency disturbance quantity according to the power grid frequency deviation information, combining the frequency disturbance quantity with the compensation adjustment quantity to obtain a power variation quantity, and constructing a frequency response power requirement according to the power variation quantity and the time sequence compensation quantity; Dividing a compensation interval according to the time advance, and executing correction amplitude compensation on the power demand in the compensation interval to generate an advance compensation sequence; And splitting the lead compensation sequence into a compensation sub-sequence according to the compensation interval, splitting the frequency response power requirement into a response sub-sequence according to the time sequence compensation quantity, and combining the compensation sub-sequence and the response sub-sequence according to the time sequence to generate the energy storage comprehensive adjustment instruction.
7. The method of claim 1, wherein executing the wind power vibration reduction command and the energy storage integrated regulation command, collecting wind power actual fluctuation and calculating frequency domain deviation from a power fluctuation frequency spectrum, and distributing the frequency domain deviation to wind power nodes and energy storage node compensation according to virtual impedance parameters comprises: executing a wind power vibration reduction instruction and an energy storage comprehensive adjustment instruction, collecting real-time output power of a wind turbine generator, calculating a real-time fluctuation value of the output power, and generating a wind power actual fluctuation sequence according to the real-time fluctuation value; Performing frequency domain conversion on the wind power actual fluctuation sequence to generate a real-time fluctuation spectrum, and calculating the real-time fluctuation spectrum and the power fluctuation spectrum to obtain a frequency domain deviation value; Calculating a compensation power value according to the frequency domain deviation value, and arranging the compensation power value according to a time sequence to generate a compensation sequence; decomposing the virtual impedance parameters into impedance amplitude values and impedance phase angles, calculating power distribution coefficients according to the impedance amplitude values, and calculating compensation time sequences according to the impedance phase angles; dividing the compensation sequence into wind power node compensation quantity and energy storage node compensation quantity according to the power distribution coefficient and the compensation time sequence; And combining the wind power node compensation quantity with the wind power vibration reduction instruction to generate a wind power compensation instruction to execute wind power node compensation, and combining the energy storage node compensation quantity with the energy storage comprehensive adjustment instruction to generate an energy storage compensation instruction energy storage node compensation.
8. A wind farm frequency control system for coordinated regulation of wind reservoirs for implementing the method of any of claims 1-7, the system comprising: the information acquisition module is used for acquiring wind speed prediction information, energy storage charge state information and power grid frequency deviation information; the time-frequency conversion module is used for performing time-frequency conversion on the wind speed prediction information to obtain a power fluctuation frequency spectrum, and extracting amplitude information and phase information of frequency components; The compensation calculation module is used for calculating the energy storage sustainable compensation time length according to the energy storage state of charge information, performing coupling operation on the energy storage sustainable compensation time length and the amplitude information, and generating a compensation capacity coefficient; The wind power control module is used for reversely calculating the frequency domain fluctuation allowable range of the wind turbine generator according to the compensation capacity coefficient, and generating a wind power vibration reduction instruction when the power fluctuation frequency spectrum exceeds the frequency domain fluctuation allowable range; The virtual channel module is used for constructing a virtual power transmission channel between the wind power node and the energy storage node, and setting virtual impedance parameters for the virtual power transmission channel according to the compensation capacity coefficient; the energy storage control module is used for calculating a phase lead angle according to the phase information, converting the phase lead angle into a time lead, generating a lead compensation sequence according to the time lead, determining a frequency response power demand according to the power grid frequency deviation information, and performing time sequence superposition on the frequency response power demand and the lead compensation sequence to generate an energy storage comprehensive adjustment instruction; and the cooperative compensation module is used for executing a wind power vibration reduction instruction and an energy storage comprehensive adjustment instruction, collecting wind power actual fluctuation, calculating frequency domain deviation of a frequency spectrum of the wind power fluctuation, and distributing the frequency domain deviation to wind power nodes and energy storage nodes for compensation according to virtual impedance parameters.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method according to any one of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, characterized in that it has stored thereon computer program instructions which, when executed by a processor, implement the steps in the method according to any of claims 1 to 7.

Description

Wind power plant frequency control method and system with wind power storage cooperatively regulated Technical Field The invention relates to the technical field of new energy power generation, in particular to a wind power station frequency control method and system with wind storage coordinated regulation. Background Wind power is an important renewable energy source, and the fluctuation and intermittence of the wind power have serious influence on the frequency stability of a power grid. The existing wind power plant frequency control method mainly comprises two modes of variable pitch control of a wind turbine and power compensation of an energy storage system. The energy storage system has a quick response characteristic, but has limited capacity, and is difficult to continuously carry out high-power compensation. The conventional wind-storage cooperative control method mainly adopts a simple power distribution strategy, namely high-frequency fluctuation is distributed to an energy storage system for compensation, and low-frequency fluctuation is regulated by a wind turbine. The fixed distribution mode fails to fully consider the charge state of the energy storage system and the operation characteristics of the wind turbine generator, and is easy to cause excessive charge and discharge of the energy storage system or frequent adjustment of the wind turbine generator, so that the overall control effect of the system is affected. In the prior art, the coordination and coordination of the wind turbine generator and the energy storage system are not tight enough, and an effective power transmission mechanism is lacked, so that the power adjustment between the wind turbine generator and the energy storage system are mutually interfered, and an optimal cooperative control effect is difficult to realize. Because the wind speed change cannot be effectively predicted and responded in advance, the control hysteresis of the system is obvious, and the requirement of rapid regulation of the frequency of the power grid is difficult to meet. Disclosure of Invention The invention aims to provide a wind power plant frequency control method and system with wind storage coordinated regulation, which aim to at least solve one of the technical problems in the prior art. The technical scheme of the invention is that the wind power station frequency control method for wind storage cooperative regulation comprises the following steps: acquiring wind speed prediction information, energy storage charge state information and power grid frequency deviation information; Performing time-frequency conversion on the wind speed prediction information to obtain a power fluctuation frequency spectrum, and extracting amplitude information and phase information of frequency components; calculating energy storage sustainable compensation duration according to the energy storage state of charge information, and performing coupling operation on the energy storage sustainable compensation duration and the amplitude information to generate a compensation capacity coefficient; Reversely calculating the frequency domain fluctuation allowable range of the wind turbine generator according to the compensation capacity coefficient, and generating a wind power vibration reduction instruction when the power fluctuation frequency spectrum exceeds the frequency domain fluctuation allowable range; Constructing a virtual power transmission channel between the wind power node and the energy storage node, and setting virtual impedance parameters for the virtual power transmission channel according to the compensation capacity coefficient; calculating a phase advance angle according to the phase information, converting the phase advance angle into a time advance, generating an advance compensation sequence according to the time advance, determining a frequency response power demand according to the power grid frequency deviation information, and performing time sequence superposition on the frequency response power demand and the advance compensation sequence to generate an energy storage comprehensive adjustment instruction; Executing a wind power vibration reduction instruction and an energy storage comprehensive adjustment instruction, collecting wind power actual fluctuation, calculating frequency domain deviation of a frequency spectrum of the wind power fluctuation, and distributing the frequency domain deviation to wind power nodes and energy storage nodes for compensation according to virtual impedance parameters. Performing time-frequency conversion on wind speed prediction information to obtain a power fluctuation frequency spectrum, and extracting amplitude information and phase information of frequency components comprises the following steps: data acquisition is carried out on the wind speed prediction information according to a preset sampling interval, a wind speed difference value of adjacent sampling points is calculated, the sliding window