New energy primary frequency modulation loss determination method and device, electronic equipment and medium

Abstract

The invention provides a new energy primary frequency modulation loss determination method and device, electronic equipment and a medium, and relates to the technical field of new energy frequency modulation. The new energy primary frequency modulation loss determination method comprises the following steps: determining the total communication power of a power generation side of a new energy station according to the collected communication power of a power generation unit of the new energy station; based on a preset disturbance demand, injecting power disturbance to the new energy station to determine communication delay of the power generation unit; based on the communication delay, correcting the total communication power to determine the power generation side power of the same time section as the collected grid-connected point power and the corresponding in-station historical loss power in the preset time period; and determining a primary frequency modulation target value based on the grid-connected point historical power, the in-station historical loss power and a fuzzy algorithm. According to the method, the time section of the power generation side power and the grid-connected point power is corrected, and the in-station loss is estimated based on the corrected time section, so that the accuracy of the finally calculated primary frequency modulation value is improved.

Description

Technical Field

[0001] The present application relates to the technical field of frequency modulation of new energy, for example, to a method, device, electronic equipment and medium for determining primary frequency modulation loss of new energy. Background Art

[0002] With the development of new energy, conventional rotating reserve capacity has been squeezed, and the output of new energy power generation is highly volatile. A large number of power electronic equipment are connected to the power grid, resulting in a decrease in the inertia of the power grid and insufficient anti-disturbance capability. The participation of new energy in primary frequency regulation has gradually become a new direction for the development of new power systems. In the process of new energy primary frequency regulation, the station loss of new energy stations needs to be calculated based on the measured power of the grid connection point and the communication data on the power generation side, but there is a delay in the data communication process on the power generation side.

[0003] The related technology uses an in-station loss prediction model to estimate the primary frequency modulation loss, but does not take the time section problem into consideration. Due to the inconsistency between communication delay and time section, the primary frequency modulation loss currently estimated based on the in-station loss prediction model is inaccurate. Summary of the invention

[0004] The present application aims to provide a method, device, electronic equipment and medium for determining primary frequency modulation loss of new energy.

[0005] According to one aspect of the present application, a method for determining the primary frequency regulation loss of new energy is proposed, comprising: determining the total communication power on the generation side of the new energy station according to the communication power of the power generation unit of the new energy station collected; injecting power disturbance into the new energy station based on a preset disturbance demand to determine the communication delay of the power generation unit; based on the communication delay, correcting the total communication power to determine the power on the generation side at the same time section as the collected grid connection point power and the corresponding historical power loss in the station within a preset time period; determining the primary frequency regulation target value based on the historical power of the grid connection point recorded within the preset time period, the historical power loss in the station and a preset fuzzy algorithm.

[0006] According to some embodiments, the historical power of the grid connection point and the historical power loss in the station are sampled and processed to determine the membership functions corresponding to the losses of multiple sampling points and new energy stations, including: based on the current moment, the historical power of the grid connection point is sampled according to a preset sampling method, a preset sampling interval and a first preset number of samples to determine multiple grid connection point power sampling values; according to the preset sampling method, the preset sampling interval and the second preset number of samples, the historical power loss in the station is sampled to determine multiple loss power sampling values; the multiple grid connection point power sampling values ​​and the multiple loss power sampling values ​​are determined as multiple sampling points, and the multiple sampling points are added to a preset loss membership function fuzzy subset; based on the loss membership function fuzzy subset and the preset membership function generation method, the membership function is determined.

[0007] According to some embodiments, a primary frequency regulation target value is determined based on multiple sampling points, membership functions and historical power of the grid connection point, including: determining the membership function coefficient corresponding to the membership function based on multiple sampling points and membership functions; determining the current grid connection point power from the historical power of the grid connection point; determining the current loss power of the new energy station based on the current grid connection point power, the membership function coefficient and the membership function; determining the primary frequency regulation target value based on the current grid connection point power, the current loss power and a preset theoretical value of the primary frequency regulation power change.

[0008] According to one aspect of the present application, a device for determining primary frequency modulation loss of new energy is provided, comprising:

[0009] A total power determination module is used to determine the total communication power of the new energy power generation side station according to the collected communication power of the power generation unit of the new energy station;

[0010] A communication delay determination module, used to inject power disturbance into the new energy station based on a preset disturbance demand to determine the communication delay of the power generation unit;

[0011] The loss determination module is used to correct the total communication power based on the communication delay to determine the power of the power generation side at the same time section as the collected grid connection point power and the corresponding historical power loss in the station within a preset period;

[0012] The frequency regulation target value determination module is used to determine a frequency regulation target value based on the historical power of the grid connection point recorded within a preset time period, the historical power loss in the station and a preset fuzzy algorithm.

[0013] Optionally, when the frequency modulation target value determination module samples the historical power of the grid connection point and the historical power loss in the station to determine the membership functions corresponding to the losses of multiple sampling points and the new energy station, it is specifically used to:

[0014] Based on the current moment, sampling the historical power of the grid connection point according to a preset sampling mode, a preset sampling interval and a first preset sampling number to determine a plurality of grid connection point power sampling values;

[0015] According to a preset sampling mode, a preset sampling interval and a second preset sampling number, the historical power loss in the station is sampled to determine a plurality of power loss sampling values;

[0016] Determine multiple grid-connected point power sampling values ​​and multiple loss power sampling values ​​as multiple sampling points, and add the multiple sampling points to a preset loss membership function fuzzy subset;

[0017] The membership function is determined based on the loss membership function fuzzy subset and a preset membership function generation method.

[0018] Optionally, when the frequency modulation target value determination module determines a frequency modulation target value based on multiple sampling points, membership functions and historical power of the grid connection point, it can be specifically used to:

[0019] Based on the plurality of sampling points and the membership function, determining a membership function coefficient corresponding to the membership function;

[0020] Determine the current grid connection point power from the grid connection point historical power;

[0021] Determine the current power loss of the new energy station based on the current grid connection point power, membership function coefficient and membership function;

[0022] The primary frequency regulation target value is determined based on the current grid-connected point power, the current power loss and the preset theoretical value of the primary frequency regulation power change.

[0023] According to one aspect of the present application, an electronic device is proposed, which includes: a processor; a memory storing a computer program, and when the computer program is executed by the processor, the processor executes the method for determining the primary frequency modulation loss of new energy as described above.

[0024] According to one aspect of the present application, a non-transitory computer-readable medium is provided, on which readable instructions are stored. When the instructions are executed by a processor, the processor executes the method for determining the primary frequency modulation loss of new energy as described above.

[0025] It should be understood that the foregoing general description and the following detailed description are exemplary only and are not restrictive of the present application.

[0026] Beneficial effects:

[0027] Through the above-mentioned embodiments provided by the present application, compared with the traditional technology that only relies on the station loss prediction model to estimate the frequency modulation loss, by injecting power disturbance into the new energy station and measuring the communication delay, the time section of the power on the power generation side and the power at the grid connection point can be accurately corrected to ensure that the two are compared and analyzed within the same time frame, thereby effectively solving the problem of inconsistent time sections caused by communication delays. Based on the corrected total communication power and grid connection point power, combined with the historical power loss in the station within the preset time period, a preset fuzzy algorithm is used for comprehensive calculation, and a frequency modulation target value can be determined more accurately, so that the new energy station can better participate in the grid frequency modulation and reduce energy waste and grid fluctuations caused by inaccurate frequency modulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without exceeding the scope of protection required by the present application.

[0029] Figure 1 A flow chart of a method for determining the primary frequency modulation loss of new energy provided in an embodiment of the present application;

[0030] Figure 2 A schematic diagram of time correction provided in an embodiment of the present application;

[0031] Figure 3 A flowchart for implementing step S13 provided in an embodiment of the present application when sampling and processing the historical power of the grid connection point and the historical power loss in the station to determine the membership functions corresponding to the losses of multiple sampling points and new energy stations;

[0032] Figure 4 A flowchart for implementing step S13 provided in an embodiment of the present application when determining a frequency modulation target value based on multiple sampling points, membership functions and historical power of the grid connection point;

[0033] Figure 5 A schematic diagram of data sampling provided in an embodiment of the present application;

[0034] Figure 6 A flowchart for implementing step S10 provided in an embodiment of the present application;

[0035] Figure 7 A flowchart for implementing step S11 provided in an embodiment of the present application;

[0036] Figure 8 A block diagram of a device for determining a primary frequency modulation loss of a new energy source provided in an embodiment of the present application;

[0037] Fig. 9 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this application will be comprehensive and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted.

[0039] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0040] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0041] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0042] It should be understood that although the terms first, second, third, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one component from another component. Therefore, the first component discussed below can be referred to as the second component without departing from the teachings of the concepts of the present application. As used herein, the term "and / or" includes any one of the associated listed items and all combinations of one or more.

[0043] For specific implementation methods, please refer to the following embodiments.

[0044] Figure 1 This is a flow chart of a method for determining the primary frequency modulation loss of a new energy source provided in an embodiment of the present application. The method of this embodiment can be applied to a primary frequency modulation controller. Figure 1 As shown, the method includes: step S10, step S11, step S12 and step S13.

[0045] In step S10, the total communication power of the power generation side of the new energy station is determined according to the collected communication power of the power generation unit of the new energy station.

[0046] In this application, the cable of the primary frequency modulation controller can directly collect the communication power of the power generation unit of the new energy station. There can be multiple power generation units, and the corresponding communication power can be respectively measured by P d1 , P d2 , P d3 ...Pdn The total communication power on the power generation side of the new energy station can be expressed as P d To express.

[0047] In some implementations, the primary frequency modulation controller may sum the collected communication powers of the power generation units of the new energy station to obtain the total communication power of the power generation side of the new energy station.

[0048] In other implementations, when the output power of the power generation unit fluctuates greatly in a short period of time, a time-weighted average method may be used to calculate the total communication power.

[0049] In step S11, based on a preset disturbance demand, a power disturbance is injected into the new energy station to determine the communication delay of the power generation unit.

[0050] In the present application, the preset disturbance requirement may be a preset injection power disturbance method.

[0051] In some implementations, power disturbances may be injected into the energy station according to preset disturbance requirements, and the communication delays of the power generation units detected and calculated by other devices may be received in real time.

[0052] In other implementations, a coordinate system can be established in advance with the current time and the grid-connected point power as the x-axis and y-axis, and a certain direction on the coordinate system can be preset as the positive direction. Power disturbances are injected into the energy station according to the preset disturbance requirements. The reliable change time of the grid-connected point power in the positive direction is detected in real time, and the reliable change time of the total communication power on the power generation side in the positive direction is detected, and then the communication delay is calculated based on these two reliable change times.

[0053] In step S12, based on the communication delay, the total communication power is corrected to determine the power of the power generation side at the same time section as the collected grid connection point power and the corresponding historical power loss in the station within a preset time period.

[0054] In this application, the collection point and assessment point of the primary frequency regulation system are set as the grid connection point, and the control point is set as the power generation side. The difference between the two is the grid connection point power loss in the station. The station loss corresponding to each moment in the preset period before the current moment can be used as the historical loss power in the station. The preset period can be a few minutes before the current moment.

[0055] According to the example embodiment, according to the communication delay, the total communication power is moved accordingly in the coordinate system established above to achieve correction, and the power of the power generation side at the same time section as the collected grid connection point power is obtained. Based on the power generation side power at each moment in the preset period and the grid connection point power at each moment in the preset period, the historical power loss in the station can be calculated.

[0056] In some implementations, reference may be made to Figure 2 The time correction diagram shown in Figure 2 In the figure, the coordinate system is set based on the current moment, with time as the x-axis and power as the y-axis. The dotted line is the corrected curve.

[0057] In step S13, a frequency regulation target value is determined based on the historical power of the grid connection point recorded within a preset period, the historical power loss in the station and a preset fuzzy algorithm.

[0058] In the present application, the preset fuzzy algorithm can be fuzzy logic or fuzzy reasoning, which is a mathematical method based on fuzzy set theory. Fuzzy algorithms can include Gaussian fuzzy, box fuzzy, double fuzzy, etc. The core concept of fuzzy algorithms can include membership functions.

[0059] According to the example embodiment, a primary frequency modulation target value determination model corresponding to different fuzzy algorithms can be pre-trained and stored, and the model has the ability to input the historical power of the grid connection point and the historical power loss in the station and output the primary frequency modulation target value. The primary frequency modulation target value determination model corresponding to the fuzzy algorithm is searched, and the historical power of the grid connection point and the historical power loss in the station recorded in the preset time period obtained at the current moment are input into the model, and the primary frequency modulation target value is directly output and determined.

[0060] Compared with the traditional technology that only relies on the station loss prediction model to estimate the frequency modulation loss, this application can accurately correct the time section of the power on the power generation side and the power at the grid connection point by injecting power disturbance into the new energy station and measuring the communication delay, ensuring that the two are compared and analyzed within the same time frame, thereby effectively solving the problem of inconsistent time sections caused by communication delay. Based on the corrected total communication power and grid connection point power, combined with the historical power loss in the station within the preset time period, a preset fuzzy algorithm is used for comprehensive calculation, which can more accurately determine the frequency modulation target value, so that the new energy station can better participate in the grid frequency modulation and reduce energy waste and grid fluctuations caused by inaccurate frequency modulation.

[0061] According to some embodiments, the fuzzy algorithm includes a membership function. Step S13 can be specifically implemented by the steps of: sampling and processing the historical power of the grid connection point and the historical power loss in the station to determine the membership functions corresponding to the losses of multiple sampling points and the new energy station; and determining a frequency regulation target value based on the multiple sampling points, the membership functions and the historical power of the grid connection point.

[0062] In this application, relevant fuzzy sets, such as "high loss", "medium loss", "low loss", etc., can be defined in advance according to the operating characteristics and frequency regulation requirements of the new energy stations to describe the different degrees of loss within the station. Then, based on the sampling data and the definition of the fuzzy set, a corresponding membership function is constructed for each fuzzy set. The membership function can be a triangular, trapezoidal, Gaussian or other different types of functions, which are used to quantify the degree to which the sampling points belong to each fuzzy set. A series of fuzzy rules can be formulated in advance based on the actual operating experience of the new energy stations. These rules describe how to adjust the frequency regulation target value to achieve the optimal frequency regulation effect under different grid connection point power and station losses.

[0063] According to the example embodiment, the historical power of the grid connection point and the historical power loss in the station recorded within a preset period are firstly uniformly or non-uniformly sampled to obtain a series of representative sampling points. The selection of sampling points should ensure that the changing trend of power and loss in the period can be fully reflected. The sampling points of the historical power of the grid connection point and the historical power loss in the station are fuzzified through the membership function and converted into the membership degree of the fuzzy set. The preset fuzzy reasoning mechanism is applied to calculate the fuzzy output of the primary frequency modulation target value according to the input fuzzified data and the formulated fuzzy rules. Then, the fuzzy output can be converted into a specific numerical value through a defuzzification process, such as the centroid method, the maximum membership method, etc., that is, the final primary frequency modulation target value is determined.

[0064] This application can more accurately handle the complexity and uncertainty of the historical power of the grid connection point and the historical power loss in the station by introducing fuzzy algorithms and membership functions. The membership function maps continuous power and loss data to fuzzy sets, so that the primary frequency regulation controller can more flexibly respond to the frequency regulation requirements under different operating conditions, thereby improving the accuracy of the primary frequency regulation target value.

[0065] According to some embodiments, reference Figure 3 In step S13, when sampling and processing the historical power of the grid-connected point and the historical power loss in the station to determine the membership functions corresponding to the losses of multiple sampling points and new energy stations, it can be specifically carried out through steps S130, S131 and S132.

[0066] In step S130, based on the current moment, the historical power of the grid connection point is sampled according to a preset sampling method, a preset sampling interval and a first preset sampling number to determine a plurality of grid connection point power sampling values.

[0067] The preset sampling mode may be a preset sampling mode. In some implementations, the preset sampling mode may be to sample the historical power of the grid connection point from near to far from the historical moment to the current moment. The preset sampling interval may be Δt, and the first preset sampling number is 2n.

[0068] According to the example embodiment, based on the current moment, the historical power of the grid connection point is sampled according to a preset sampling method, a preset sampling interval and a first preset number of samples. In some implementations, the historical power of the grid connection point P can be sampled from the historical moment to the current moment. g Sampling 2n points with a sampling interval Δt, we get P g1 , P g2 , P g3 …P g(2n) , determine these points as grid-connected point power sampling values.

[0069] In step S131, the historical power loss in the station is sampled according to a preset sampling mode, a preset sampling interval and a second preset sampling number to determine a plurality of power loss sampling values.

[0070] The second preset sampling number may be n.

[0071] According to an example embodiment, the historical power loss in the station may be sampled according to a preset sampling method, a preset sampling interval, and a second preset number of samples. In some implementations, the historical power loss P in the station may be sampled from near to far from the historical moment to the current moment. his Sample n points with a sampling interval of Δt to obtain P his1 , P his2 , P his3 …P hisn , determine these points as the power loss sampling values.

[0072] In step S132, multiple grid-connected point power sampling values ​​and multiple loss power sampling values ​​are determined as multiple sampling points, and the multiple sampling points are added to a preset loss membership function fuzzy subset; based on the loss membership function fuzzy subset and the preset membership function generation method, the membership function is determined.

[0073] The preset membership function generation method may be a preset membership function formula, that is, how to set various parameters to generate the membership function.

[0074] According to an example embodiment, the multiple grid connection point power sampling values ​​and the multiple loss power sampling values ​​obtained in step S130 and step S131 can be used as a plurality of sampling points, and the plurality of sampling points are added to a preset loss membership function fuzzy subset. The parameters in the loss membership function fuzzy subset are positioned according to a preset membership function generation method to obtain a corresponding membership function.

[0075] In some implementations, the membership function P hism for:

[0076] P hism=α1C1P gm +α2C2P g(m+1) +…+α n-1 C n-1 P g(m+n-2) +α n C n P g(m+n-1) .

[0077] Among them, P gm , P g(m+1) …P g(m+n-1) t m The historical power of the grid connection point corresponding to each moment in the previous nΔt moments. α1, α2…α n It can be the historical power membership at each moment. In some implementations, the historical power membership can be pre-set and stored. n is the membership function coefficient that needs to be calculated.

[0078] This application uses a preset sampling method, sampling interval, and specific number of samples (a first preset number of samples and a second preset number of samples) to accurately sample the historical power of the grid connection point and the historical power loss in the station, ensuring that the acquired data is representative and accurate. The multiple grid connection point power sampling values ​​and power loss sampling values ​​obtained by sampling are used as sampling points and added to the preset fuzzy subset of the loss membership function, that is, the actual operation data is integrated into the theoretical model, which enhances the adaptability and practicality of the model. The membership function determined by this method can more accurately reflect the loss characteristics of new energy sites in actual operation.

[0079] According to some embodiments, reference Figure 4 When step S13 determines a frequency modulation target value based on multiple sampling points, membership functions and historical power of the grid connection point, it can be specifically implemented through steps S133, S134 and S135.

[0080] In step S133, based on the multiple sampling points and the membership function, the membership function coefficient corresponding to the membership function is determined; and the current grid connection point power is determined from the grid connection point historical power.

[0081] Substitute the multiple sampling points obtained in the above steps into the membership function obtained in step S132 to obtain the equation group:

[0082]

[0083] According to the above equations, the membership function coefficients C1, C2…C n Then the current grid-connected point power can be directly extracted from the historical grid-connected point power.

[0084] In some implementations, reference may be made to Figure 5 The data sampling diagram shown in the figure is Figure 5 The coordinate system in still uses time (t) as the x-axis and power (P) as the y-axis.

[0085] In step S134, the current power loss of the new energy station is determined according to the current grid connection point power, the membership function coefficient and the membership function.

[0086] Based on the membership function coefficient obtained in step S133 and the membership function obtained in step S132, the real-time value of the loss of the new energy station P can be obtained. loss for:

[0087] P loss =α1C1P g1 +α2C2P g2 +…+α n C n P gn .

[0088] Where n is the number of historical sampling points, P g1 , P g2 …P gn Substitute the current grid-connected point power at the current moment into P loss The calculation formula can be used to obtain the current power loss of the new energy station.

[0089] In step S135, the primary frequency regulation target value is determined according to the current grid connection point power, the current loss power and the preset primary frequency regulation power change theoretical value.

[0090] According to the embodiment of the present invention, the primary frequency modulation target value P set for:

[0091] P set =P0+ΔP+P loss0 .

[0092] Among them, the preset theoretical value of the primary frequency modulation power change can be expressed by ΔP, and P0 can be used for the current grid-connected point power when reporting, that is, P at the current moment. g .P loss0 is the current power loss, that is, P at the current moment loss .

[0093] According to some embodiments, the historical power membership can also be calculated. Specifically, the calculation can be implemented by the steps of: determining the historical power memberships corresponding to the multiple sampling points respectively according to a preset normal distribution algorithm and the moments corresponding to the multiple sampling points, and determining the membership function coefficients corresponding to the membership function based on the historical power membership, the multiple sampling points and the membership function.

[0094] In this application, the above-mentioned α1, α2, α n is the historical power membership at each moment, which is used to compensate for the measurement error caused by the slight difference in communication time at different moments after time synchronization. In some implementations, the historical power membership at each moment follows a normal distribution, that is:

[0095]

[0096] t n is the time difference between the current moment and the corresponding sampling moment, based on which the historical power membership at different moments can be calculated, so as to determine the membership function coefficient corresponding to the membership function based on the historical power membership, the multiple sampling points determined above and the membership function determined above.

[0097] This application introduces a preset normal distribution algorithm and combines the moments corresponding to multiple sampling points to determine the historical power membership for each sampling point. This process takes into account the impact of time factors on power changes, making the calculation of membership more in line with actual conditions. Based on these precise historical power memberships, the membership function coefficients corresponding to the membership function are further determined, which can significantly improve the precision and accuracy of the membership function, thereby better reflecting the actual operating status of the new energy station.

[0098] According to some embodiments, reference Figure 6 , step S10 can be specifically implemented through step S100 and step S101.

[0099] In step S100, communication powers transmitted corresponding to each of a plurality of power generation units of a new energy station are received.

[0100] According to an exemplary embodiment, the primary frequency modulation controller and the plurality of power generation units may exchange information. The plurality of power generation units may send their respective corresponding communication powers to the primary frequency modulation controller, and the primary frequency modulation controller may receive the corresponding communication powers.

[0101] In step S101, the communication powers transmitted by the plurality of power generation units are summed to determine the total communication power on the power generation side.

[0102] According to the example embodiment, the communication powers transmitted by the multiple power generation units can be added together to directly obtain the total communication power on the power generation side of the new energy station. The specific implementation can refer to the following formula:

[0103]

[0104] Among them, P d That is, the total communication power. The corresponding communication power transmitted by multiple power generation units is P d1 , P d2 …Pdn .

[0105] This application directly receives the communication power transmitted in real time by each power generation unit and immediately performs summation calculation, which can ensure that the obtained total communication power data has high real-time and accuracy. The management of new energy stations is refined to each power generation unit, so that the primary frequency modulation controller can more accurately grasp the power generation status of each unit, thereby realizing the refined management of the power generation capacity of the entire station.

[0106] According to some embodiments, reference Figure 7 , step S11 can be specifically implemented through steps S110 and S111.

[0107] In step S110, power disturbance is injected into the new energy station; and the first preset reliable change time and the second preset reliable change time corresponding to the grid connection point power and the total communication power at the corresponding disturbance moment are detected.

[0108] In the present application, a power disturbance injection device can be pre-designed and installed to inject precise disturbances into the new energy station as required, and the disturbance injection device can be controlled by a primary frequency modulation controller.

[0109] According to the exemplary embodiment, after the power disturbance is injected into the new energy station, the time required for the grid power to change from the initial value to the stable value / preset threshold is detected in real time from the moment of the disturbance injection, and the time is used as the first preset reliable change time. Similarly, the time required for the total communication power of the new energy station to change stably from the moment of the disturbance injection is detected in real time, and the time is used as the second preset reliable change time.

[0110] In step S111, a difference is made between the second preset reliable change time and the first preset reliable change time to determine the communication delay.

[0111] According to an example embodiment, the second preset reliable change time may be represented as t2, the first preset reliable change time may be represented as t1, and the reference Figure 2 The communication delay T is calculated as follows:

[0112] T=t2-t1.

[0113] The following describes an apparatus embodiment of the present application, which can be used to execute the method embodiment of the present application. For details not disclosed in the apparatus embodiment of the present application, reference can be made to the method embodiment of the present application.

[0114] Figure 8 This is a block diagram of a device for determining the primary frequency modulation loss of new energy provided in an embodiment of the present application. Figure 8As shown, the device 800 for determining the primary frequency modulation loss of new energy includes a total power determination module 801, a communication delay determination module 802, a loss determination module 803 and a frequency modulation target value determination module 804.

[0115] The total power determination module 801 is used to determine the total communication power of the power generation side of the new energy station according to the collected communication power of the power generation unit of the new energy station;

[0116] The communication delay determination module 802 is used to inject power disturbance into the new energy station based on the preset disturbance demand to determine the communication delay of the power generation unit;

[0117] The loss determination module 803 is used to correct the total communication power based on the communication delay to determine the power of the power generation side at the same time section as the collected grid connection point power and the corresponding historical power loss in the station within a preset period;

[0118] The frequency modulation target value determination module 804 is used to determine a frequency modulation target value based on the historical power of the grid connection point recorded within a preset time period, the historical power loss in the station and a preset fuzzy algorithm.

[0119] Optionally, the fuzzy algorithm includes a membership function; the frequency modulation target value determination module 804 can be specifically used for:

[0120] Sampling and processing the historical power of the grid connection point and the historical power loss in the station to determine the membership functions corresponding to the losses of multiple sampling points and new energy stations;

[0121] Based on multiple sampling points, membership functions and historical power of the grid-connected point, a frequency regulation target value is determined.

[0122] Optionally, the frequency regulation target value determination module 804 can be used to sample and process the historical power of the grid connection point and the historical power loss in the station to determine the membership functions corresponding to the losses of multiple sampling points and the new energy station:

[0123] Based on the current moment, sampling the historical power of the grid connection point according to a preset sampling mode, a preset sampling interval and a first preset sampling number to determine a plurality of grid connection point power sampling values;

[0124] According to a preset sampling mode, a preset sampling interval and a second preset sampling number, the historical power loss in the station is sampled to determine a plurality of power loss sampling values;

[0125] Determine multiple grid-connected point power sampling values ​​and multiple loss power sampling values ​​as multiple sampling points, and add the multiple sampling points to a preset loss membership function fuzzy subset;

[0126] The membership function is determined based on the loss membership function fuzzy subset and a preset membership function generation method.

[0127] Optionally, when determining a frequency modulation target value based on multiple sampling points, membership functions and historical power of the grid connection point, the frequency modulation target value determination module 804 can be specifically used to:

[0128] Based on the plurality of sampling points and the membership function, determining a membership function coefficient corresponding to the membership function;

[0129] Determine the current grid connection point power from the grid connection point historical power;

[0130] Determine the current power loss of the new energy station based on the current grid connection point power, membership function coefficient and membership function;

[0131] The primary frequency regulation target value is determined based on the current grid-connected point power, the current power loss and the preset theoretical value of the primary frequency regulation power change.

[0132] Optionally, the device 800 for determining the primary frequency modulation loss of new energy may further include a power membership determination module 805, which is used to:

[0133] According to a preset normal distribution algorithm and the time points corresponding to the multiple sampling points, the historical power memberships respectively corresponding to the multiple sampling points are determined, so as to determine the membership function coefficients corresponding to the membership function based on the historical power memberships, the multiple sampling points and the membership function.

[0134] Optionally, the total power determination module 801 may be specifically configured to:

[0135] Receiving communication power transmitted by respective corresponding power generation units of a new energy station;

[0136] The communication powers transmitted by the multiple power generation units are summed to determine the total communication power on the power generation side.

[0137] Optionally, the communication delay determination module 802 may be specifically used to:

[0138] Inject power disturbances into new energy stations;

[0139] Detecting the first preset reliable change time and the second preset reliable change time respectively corresponding to the grid connection point power and the total communication power at the corresponding disturbance moment;

[0140] The second preset reliable change time is subtracted from the first preset reliable change time to determine the communication delay.

[0141] The device performs functions similar to the method provided above. For other functions, please refer to the previous description and will not be repeated here.

[0142] Fig. 9 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application, such as Fig. 9 As shown, the electronic device 900 of this embodiment may include: a memory 901 and a processor 902 .

[0143] The memory 901 stores a computer program. When the computer program is executed by the processor 902, the processor 902 executes the method in the above embodiment.

[0144] The processor 902 and the memory 901 are connected, for example, via a bus.

[0145] Optionally, the electronic device 900 may further include a transceiver. It should be noted that in actual applications, the number of transceivers is not limited to one, and the structure of the electronic device 900 does not constitute a limitation on the embodiments of the present application.

[0146] The processor 902 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor 902 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0147] The bus may include a path to transmit information between the above components. The bus may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0148] The memory 901 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0149] The memory 901 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 902. The processor 902 is used to execute the application code stored in the memory 901 to implement the contents shown in the above method embodiment.

[0150] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Fig. 9 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0151] The electronic device of this embodiment can be used to execute the method of any of the above embodiments, and its implementation principle and technical effect are similar, which will not be described in detail here.

[0152] The present application also provides a non-transitory computer-readable storage medium having computer-readable instructions stored thereon. When the aforementioned instructions are executed by a processor, the processor executes the method in the above embodiment.

[0153] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a non-transient computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0154] The embodiments of the present application are described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and its core idea of ​​the present application. At the same time, changes or deformations made by those skilled in the art based on the ideas of the present application, the specific implementation methods and the scope of application of the present application, all belong to the scope of protection of the present application. In summary, the content of this specification should not be construed as a limitation on the present application.

Claims

1. A method for determining the primary frequency modulation loss of new energy, characterized in that: include: Determine the total communication power of the power generation side of the new energy station according to the collected communication power of the power generation unit of the new energy station; Based on a preset disturbance demand, injecting a power disturbance into the new energy station to determine the communication delay of the power generation unit; Based on the communication delay, the total communication power is corrected to determine the power of the power generation side at the same time section as the collected grid connection point power and the corresponding historical power loss in the station within a preset time period; Based on the historical power of the grid connection point recorded within the preset time period, the historical power loss in the station and a preset fuzzy algorithm, a frequency regulation target value is determined.

2. The method according to claim 1, characterized in that The fuzzy algorithm includes a membership function; The step of determining a frequency modulation target value based on the historical power of the grid connection point recorded within the preset period, the historical power loss in the station and a preset fuzzy algorithm includes: Sampling the historical power of the grid connection point and the historical power loss in the station to determine the membership functions corresponding to the losses of multiple sampling points and the new energy station; The primary frequency modulation target value is determined based on the multiple sampling points, the membership function and the historical power of the grid connection point.

3. The method according to claim 2, characterized in that The sampling and processing of the historical power of the grid connection point and the historical power loss in the station to determine the membership functions corresponding to the losses of multiple sampling points and the new energy station includes: Based on the current moment, sampling the historical power of the grid connection point according to a preset sampling mode, a preset sampling interval and a first preset sampling number to determine a plurality of grid connection point power sampling values; According to the preset sampling mode, the preset sampling interval and the second preset sampling number, the historical power loss in the station is sampled to determine a plurality of power loss sampling values; Determine the multiple grid-connected point power sampling values ​​and the multiple loss power sampling values ​​as the multiple sampling points, and add the multiple sampling points to a preset loss membership function fuzzy subset; The membership function is determined based on the loss membership function fuzzy subset and a preset membership function generation method.

4. The method according to claim 2, characterized in that: The determining the primary frequency modulation target value based on the multiple sampling points, the membership function and the historical power of the grid connection point includes: Based on the plurality of sampling points and the membership function, determining a membership function coefficient corresponding to the membership function; Determine the current grid connection point power from the grid connection point historical power; Determine the current power loss of the new energy station according to the current grid connection point power, the membership function coefficient and the membership function; The primary frequency modulation target value is determined according to the current grid connection point power, the current loss power and a preset theoretical value of the primary frequency modulation power change.

5. The method according to claim 4, characterized in that Also includes: According to a preset normal distribution algorithm and the moments corresponding to the multiple sampling points, the historical power memberships respectively corresponding to the multiple sampling points are determined, so as to determine the membership function coefficient corresponding to the membership function based on the historical power membership, the multiple sampling points and the membership function.

6. The method according to claim 1, characterized in that The determining the total communication power of the power generation side of the new energy station according to the collected communication power of the power generation unit of the new energy station includes: Receiving the communication power transmitted by each of the plurality of power generation units of the new energy station; The communication powers transmitted by each of the plurality of power generation units are summed to determine the total communication power on the power generation side.

7. The method according to claim 1, characterized in that The step of injecting a power disturbance into the new energy station based on a preset disturbance demand to determine a communication delay of the power generation unit includes: Injecting power disturbance into the new energy station; Detecting the first preset reliable change time and the second preset reliable change time respectively corresponding to the grid connection point power and the total communication power at the corresponding disturbance moment; The communication delay is determined by subtracting the second preset reliable change time from the first preset reliable change time.

8. A device for determining the primary frequency modulation loss of a new energy source, characterized in that: include: A total power determination module, used to determine the total communication power of the power generation side of the new energy station according to the collected communication power of the power generation unit of the new energy station; A communication delay determination module, used to inject power disturbance into the new energy station based on a preset disturbance demand to determine the communication delay of the power generation unit; A loss determination module, used to correct the total communication power based on the communication delay to determine the power of the power generation side at the same time section as the collected grid connection point power and the corresponding historical power loss in the station within a preset time period; The frequency modulation target value determination module is used to determine a frequency modulation target value based on the historical power of the grid connection point recorded within the preset time period, the historical power loss in the station and a preset fuzzy algorithm.

9. An electronic device, characterized in that: include: processor; A memory storing a computer program, which, when executed by the processor, enables the processor to execute the method for determining the primary frequency modulation loss of new energy as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, characterized in that: Computer-readable instructions are stored thereon, and when the instructions are executed by a processor, the processor executes the method for determining the primary frequency modulation loss of new energy as described in any one of claims 1-7.

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