A new energy station inertia response characteristic control method of multiple grid connection mode coordination

Abstract

This invention relates to the field of renewable energy power plant technology and discloses a method for controlling the inertial response characteristics of renewable energy power plants with coordinated multi-grid-connection modes. The method involves identifying the grid-connected equipment within the renewable energy power plant and obtaining the dynamic operating response of each equipment. All grid-connected equipment is then screened based on dynamic operating behavior and parameters to obtain a sequence of equipment to be analyzed. A sequence of dynamic operating behavior parameters is constructed based on shared dynamic operating behavior, and the sequence parameter coefficients are calculated. Inertial response characteristic coefficients within the renewable energy power plant are calculated based on these coefficients. A corresponding inertial response strategy is selected based on these coefficients to control the grid-connected equipment within the renewable energy power plant, thereby achieving consistent inertial response under dynamic operating conditions, improving the inertial response capability of the renewable energy power plant in the power grid, and enhancing the stability and security of the power grid.

Description

Technical Field

[0001] This invention relates to the field of new energy power station technology, and more specifically, to a method for controlling the inertia response characteristics of new energy power stations with coordinated multi-grid-connection modes. Background Technology

[0002] A renewable energy power station refers to a wind farm or solar power station that is centrally connected to the power system, encompassing all equipment below the grid connection point. This equipment includes transformers, busbars, transmission lines, converters, energy storage, wind turbines, photovoltaic power generation equipment, reactive power regulation equipment, and auxiliary equipment. With the large-scale grid connection of renewable energy generation, the intermittent, fluctuating, and random characteristics of renewable energy power generation pose increasingly severe challenges to the safe and stable operation of the power grid. To address this issue, improving the inertial response characteristics of renewable energy power stations has become a current research hotspot.

[0003] Existing technologies for coordinated control of primary frequency regulation and inertial response in renewable energy power plants have several shortcomings. First, traditional control methods often focus on optimizing the performance of individual devices while neglecting the synergistic effects between multiple devices within the power plant. Second, existing control strategies struggle to adapt to the diverse operating modes of renewable energy power plants, resulting in significant differences in inertial response performance under different operating conditions. Furthermore, due to the decentralized nature of information acquisition by various converters within the renewable energy power plant, each converter may respond inconsistently to grid transients, affecting the real-time performance and accuracy of the power plant's response to grid transients. Summary of the Invention

[0004] This invention provides a method for controlling the inertial response characteristics of new energy power plants under multiple grid-connected modes, thereby realizing the inertial response of new energy power plants under dynamic operating conditions, ensuring the consistency of inertial response, improving the inertial response capability of new energy power plants in the power grid, and enhancing the stability and security of the power grid.

[0005] To achieve the above objectives, the present invention provides a method for controlling the inertial response characteristics of new energy power plants with coordinated multi-grid-connection modes, comprising:

[0006] Identify the grid-connected equipment within the new energy power station and obtain the dynamic operation response corresponding to each grid-connected equipment, wherein the dynamic operation response includes dynamic operation behavior and dynamic operation behavior parameters;

[0007] All grid-connected devices are screened based on the dynamic operating behavior and dynamic operating behavior parameters, and a sequence of grid-connected devices to be analyzed is obtained based on the screening results.

[0008] The grid-connected devices in the grid-connected device sequence to be analyzed are analyzed, a dynamic operating behavior parameter sequence is constructed based on the same dynamic operating behavior, and the sequence parameter coefficients of the dynamic operating behavior parameter sequence are calculated based on the dynamic operating behavior parameters, wherein the sequence parameter coefficients include a first sequence parameter coefficient and a second sequence parameter coefficient;

[0009] The inertial response characteristic coefficients within the new energy power station are calculated based on the sequence parameter coefficients of the dynamic operating behavior parameter sequence.

[0010] Based on the inertia response characteristic coefficients within the new energy power station, a corresponding inertia response strategy is selected, and the grid-connected equipment within the new energy power station is controlled according to the inertia response strategy.

[0011] Furthermore, when filtering all grid-connected devices based on the dynamic operating behavior and dynamic operating behavior parameters, and obtaining the sequence of grid-connected devices to be analyzed based on the filtering results, the process includes:

[0012] Randomly pair all grid-connected devices to obtain multiple combinations of grid-connected devices;

[0013] The device correlation degree between two grid-connected devices in the grid-connected device combination is calculated based on the dynamic operating behavior and dynamic operating behavior parameters.

[0014] Extract grid-connected device combinations with a device correlation degree greater than the preset device correlation degree, and generate the first merge tag;

[0015] Extract the minimum device correlation degree from all grid-connected device combinations that generate the first merged tag, extract device correlation degrees that are less than or equal to the preset device correlation degree, and construct a device correlation degree set based on the minimum device correlation degree;

[0016] Determine the Euclidean distance between the minimum device correlation degree and the remaining device correlation degrees in the set of device correlation degrees;

[0017] Extract the grid-connected device combination corresponding to the maximum Euclidean distance and generate the second merge marker;

[0018] The sequence of grid-connected devices to be analyzed is determined based on the first merging marker and the second merging marker.

[0019] Furthermore, when calculating the device correlation degree between two grid-connected devices in a grid-connected device combination based on the dynamic operating behavior and dynamic operating behavior parameters, the calculation includes:

[0020]

[0021] Where w is the device correlation degree, |u1(p1∩p2)| is the number of intersections of the dynamic operating behaviors of two grid-connected devices in the grid-connected device combination, |u1(p1∪p2)| is the number of unions of the dynamic operating behaviors of two grid-connected devices in the grid-connected device combination, |u2(p1∩p2)| is the number of intersections of the dynamic operating behavior parameters of two grid-connected devices in the grid-connected device combination, and |u2(p1∪p2)| is the number of unions of the dynamic operating behavior parameters of two grid-connected devices in the grid-connected device combination, r 2 t is the average of the differences in the number of dynamic operating behaviors of two grid-connected devices in all grid-connected device combinations. 2 Let a1 be the variance of the difference in the number of dynamic operating behaviors of two grid-connected devices in all grid-connected device combinations, and a2 be the number of dynamic operating behaviors of one grid-connected device in the grid-connected device combination.

[0022] Further, when analyzing the grid-connected devices in the grid-connected device sequence to be analyzed, constructing a dynamic operating behavior parameter sequence based on the same dynamic operating behavior, and calculating the sequence parameter coefficients of the dynamic operating behavior parameter sequence based on the dynamic operating behavior parameters, the process includes:

[0023] Randomly map the dynamic operation behavior parameters in the dynamic operation behavior parameter sequence to the data point graph;

[0024] Determine the maximum and minimum dynamic operating behavior parameters in the sequence of dynamic operating behavior parameters, calibrate the maximum and minimum dynamic operating behavior parameters in the data point graph, and connect them based on the data straight line;

[0025] Determine whether there are dynamic running behavior parameters on the data line. If so, take the location point of the existing dynamic running behavior parameter as the center and the dynamic running behavior parameter as the radius to obtain multiple parameter circles.

[0026] Determine the parameter distance from each circle center to any parameter circle, and extract the shortest and longest parameter distances as the primary calculation basis;

[0027] If not, then take the positions of the maximum and minimum dynamic operating behavior parameters as the center of the circle, and s1 and s2 as the radii, respectively, to determine the maximum parameter circle and the minimum parameter circle, where s1 = d1 / (d1+d2), d1 is the maximum dynamic operating behavior parameter, d2 is the minimum dynamic operating behavior parameter, and s2 = d2 / (d1+d2).

[0028] The longest and shortest circle distances between the circle with the maximum parameter and the circle with the minimum parameter are determined as the second calculation basis;

[0029] The sequence parameter coefficients of the dynamic operating behavior parameter sequence are calculated based on the first calculation basis or the second calculation basis.

[0030] Further, when calculating the sequence parameter coefficients of the dynamic operating behavior parameter sequence based on the first calculation basis or the second calculation basis, the following steps are included:

[0031] Determine the calculation coefficient f. f1 is the shortest parameter distance or the shortest circle distance, and f2 is the longest parameter distance or the longest circle distance;

[0032] The first sequence parameter coefficient of the dynamic running behavior parameter sequence is calculated according to the following formula:

[0033]

[0034] Where n1 is the first sequence parameter coefficient of the dynamic running behavior parameter sequence;

[0035] The second sequence parameter coefficients of the dynamic operating behavior parameter sequence are calculated according to the following formula:

[0036] n2 = 1 - 2n1;

[0037] Where n2 is the second sequence parameter coefficient of the dynamic running behavior parameter sequence.

[0038] Furthermore, when calculating the inertial response characteristic coefficients within the new energy power station based on the sequence parameter coefficients of the dynamic operating behavior parameter sequence, the following steps are included:

[0039] A sequence of dynamic operating behavior parameters is randomly determined, and the corresponding first extraction coefficient and second extraction coefficient are extracted.

[0040] Randomly determine another sequence of dynamic running behavior parameters, and extract the corresponding third and fourth extraction coefficients;

[0041] Calculate the difference between the first extraction coefficient and the third extraction coefficient;

[0042] Extract the maximum and minimum first sequence parameter coefficients from all first sequence parameter coefficients, and calculate the difference in first-pole sequence parameter coefficients;

[0043] Calculate the first coefficient difference ratio between the first extracted coefficient difference and the first polar sequence parameter coefficient difference;

[0044] Calculate the difference between the second extraction coefficient and the third extraction coefficient and the fourth extraction coefficient;

[0045] Extract the maximum and minimum second sequence parameter coefficients from all second sequence parameter coefficients, and calculate the difference in second sequence parameter coefficients.

[0046] Calculate the ratio of the second coefficient difference between the second extracted coefficient difference and the second pole sequence parameter coefficient difference;

[0047] Calculate the product of the first coefficient difference ratio and the second coefficient difference ratio, and use it as the factor to be processed;

[0048] All the factors to be processed are normalized to obtain a sequence of factors to be processed, and the inertial response characteristic coefficients in the new energy power station are calculated based on the sequence of factors to be processed.

[0049] Furthermore, when normalizing all the factors to be processed to obtain a sequence of factors to be processed, and calculating the inertial response characteristic coefficients within the new energy power station based on the sequence of factors to be processed, the process includes:

[0050] The factors to be processed in the sequence of factors to be processed are randomly combined in pairs to obtain multiple combinations of factors to be processed.

[0051] The inertial response characteristic coefficients within the new energy power station are calculated based on a combination of multiple factors to be processed.

[0052]

[0053] Where h is the inertial response characteristic coefficient within the new energy power station, m is the number of combinations of factors to be processed, and g1 i Let g1 be the factor to be processed in the i-th combination of factors to be processed, and g2 be another factor to be processed in the i-th combination of factors to be processed, ((g1i-g2i)). 2 min represents all (g1i-g2i) 2 The minimum value in ((g1) i -g2 i ) 2 ) max For all (g1) i -g2 i ) 2 The maximum value in, k 2 For all (g1) i -g2 i ) 2 The variance.

[0054] Furthermore, before selecting a corresponding inertia response strategy based on the inertia response characteristic coefficients within the new energy power station, and before controlling the grid-connected equipment within the new energy power station according to the inertia response strategy, the method further includes:

[0055] The relationship between the inertia response characteristic coefficient and the preset inertia response characteristic coefficient is used to determine whether it is necessary to control the grid-connected equipment in the new energy power station;

[0056] When the inertia response characteristic coefficient is less than the preset inertia response characteristic coefficient, it is determined that the grid-connected equipment in the new energy power station needs to be controlled.

[0057] When the inertia response characteristic coefficient is greater than or equal to the preset inertia response characteristic coefficient, it is determined that no control is required for the grid-connected equipment in the new energy power station.

[0058] Furthermore, when selecting a corresponding inertial response strategy based on the inertial response characteristic coefficient within the new energy power station, and controlling the grid-connected equipment within the new energy power station according to the inertial response strategy, the process includes:

[0059] The inertia response characteristic coefficients are traversed in a pre-set inertia response characteristic coefficient-inertia response strategy mapping table to determine the inertia response strategy corresponding to the inertia response characteristic coefficients.

[0060] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0061] This invention discloses a method for controlling the inertial response characteristics of renewable energy power plants with coordinated multi-grid-connection modes. The method involves identifying the grid-connected equipment within the renewable energy power plant and obtaining the dynamic operating response of each equipment. All grid-connected equipment is then screened based on dynamic operating behavior and parameters to obtain a sequence of equipment to be analyzed. A sequence of dynamic operating behavior parameters is constructed based on shared dynamic operating behaviors, and the sequence parameter coefficients are calculated. Inertial response characteristic coefficients within the renewable energy power plant are calculated based on these coefficients. Finally, a corresponding inertial response strategy is selected based on these coefficients to control the grid-connected equipment within the renewable energy power plant. This method achieves consistent inertial response under dynamic operating conditions, improves the inertial response capability of the renewable energy power plant within the power grid, and enhances the stability and security of the power grid. Attached Figure Description

[0062] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0063] Figure 1 A flowchart illustrating the control method for the inertia response characteristics of new energy power plants with coordinated multi-grid-connection modes in an embodiment of the present invention is shown. Detailed Implementation

[0064] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0065] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0066] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0067] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0068] The following is a description of preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0069] like Figure 1 As shown, an embodiment of the present invention discloses a method for controlling the inertial response characteristics of a new energy power station with coordinated multi-grid-connection modes, comprising:

[0070] S110: Determine the grid-connected equipment in the new energy power station and obtain the dynamic operation response corresponding to each grid-connected equipment, wherein the dynamic operation response includes dynamic operation behavior and dynamic operation behavior parameters;

[0071] In this embodiment, the grid-connected equipment in the new energy power station includes inverters, transformers, switchgear, reactive power compensation devices, etc.

[0072] In this embodiment, dynamic operating behavior includes voltage operating behavior, current operating behavior, frequency operating behavior, reactive power operating behavior, etc. Here, the dynamic operating behavior parameters correspond one-to-one with the dynamic operating behavior, that is, voltage value, current value, frequency value, and reactive power value, etc.

[0073] S120: Based on the dynamic operating behavior and dynamic operating behavior parameters, all grid-connected devices are screened, and a sequence of grid-connected devices to be analyzed is obtained based on the screening results;

[0074] In some embodiments of this application, when filtering all grid-connected devices based on the dynamic operating behavior and dynamic operating behavior parameters, and obtaining the sequence of grid-connected devices to be analyzed based on the filtering results, the process includes:

[0075] Randomly pair all grid-connected devices to obtain multiple combinations of grid-connected devices;

[0076] The device correlation degree between two grid-connected devices in the grid-connected device combination is calculated based on the dynamic operating behavior and dynamic operating behavior parameters.

[0077] Extract grid-connected device combinations with a device correlation degree greater than the preset device correlation degree, and generate the first merge tag;

[0078] Extract the minimum device correlation degree from all grid-connected device combinations that generate the first merged tag, extract device correlation degrees that are less than or equal to the preset device correlation degree, and construct a device correlation degree set based on the minimum device correlation degree;

[0079] Determine the Euclidean distance between the minimum device correlation degree and the remaining device correlation degrees in the set of device correlation degrees;

[0080] Extract the grid-connected device combination corresponding to the maximum Euclidean distance and generate the second merge marker;

[0081] The sequence of grid-connected devices to be analyzed is determined based on the first merging marker and the second merging marker.

[0082] In this embodiment, if there is an unmatched grid-connected device, then that grid-connected device is deleted.

[0083] In this embodiment, the preset device correlation degree is preferably 7, but it can be set according to actual needs.

[0084] In this embodiment, the method for determining Euclidean distance will not be described in detail here.

[0085] In this embodiment, the sequence of grid-connected devices to be analyzed is determined based on the grid-connected devices corresponding to the first merging mark and the second merging mark.

[0086] The beneficial effects of the above technical solution are: the present invention determines the sequence of grid-connected devices to be analyzed based on the first merging mark and the second merging mark, which can provide a basis for the coordination of multiple grid-connected modes and ensure the coordination analysis of grid-connected devices.

[0087] In some embodiments of this application, when calculating the device correlation degree between two grid-connected devices in a grid-connected device combination based on the dynamic operating behavior and dynamic operating behavior parameters, the following is included:

[0088]

[0089] Where w is the device correlation degree, |u1(p1∩p2)| is the number of intersections of the dynamic operating behaviors of two grid-connected devices in the grid-connected device combination, |u1(p1∪p2)| is the number of unions of the dynamic operating behaviors of two grid-connected devices in the grid-connected device combination, |u2(p1∩p2)| is the number of intersections of the dynamic operating behavior parameters of two grid-connected devices in the grid-connected device combination, and |u2(p1∪p2)| is the number of unions of the dynamic operating behavior parameters of two grid-connected devices in the grid-connected device combination, r 2 t is the average of the differences in the number of dynamic operating behaviors of two grid-connected devices in all grid-connected device combinations. 2 Let a1 be the variance of the difference in the number of dynamic operating behaviors of two grid-connected devices in all grid-connected device combinations, and a2 be the number of dynamic operating behaviors of one grid-connected device in the grid-connected device combination.

[0090] S130: Analyze the grid-connected devices in the grid-connected device sequence to be analyzed, construct a dynamic operating behavior parameter sequence based on the same dynamic operating behavior, and calculate the sequence parameter coefficients of the dynamic operating behavior parameter sequence based on the dynamic operating behavior parameters, wherein the sequence parameter coefficients include a first sequence parameter coefficient and a second sequence parameter coefficient;

[0091] In this embodiment, all dynamic operating behaviors of the same type are extracted, such as extracting the current value corresponding to each grid-connected device, and constructing a dynamic operating behavior parameter sequence about the current value. Here, the dynamic operating behavior parameter sequence is all current value, and the others will not be shown one by one.

[0092] In some embodiments of this application, when analyzing the grid-connected devices in the grid-connected device sequence to be analyzed, constructing a dynamic operating behavior parameter sequence based on the same dynamic operating behavior, and calculating the sequence parameter coefficients of the dynamic operating behavior parameter sequence based on the dynamic operating behavior parameters, the process includes:

[0093] Randomly map the dynamic operation behavior parameters in the dynamic operation behavior parameter sequence to the data point graph;

[0094] Determine the maximum and minimum dynamic operating behavior parameters in the sequence of dynamic operating behavior parameters, calibrate the maximum and minimum dynamic operating behavior parameters in the data point graph, and connect them based on the data straight line;

[0095] Determine whether there are dynamic running behavior parameters on the data line. If so, take the location point of the existing dynamic running behavior parameter as the center and the dynamic running behavior parameter as the radius to obtain multiple parameter circles.

[0096] Determine the parameter distance from each circle center to any parameter circle, and extract the shortest and longest parameter distances as the primary calculation basis;

[0097] If not, then take the positions of the maximum and minimum dynamic operating behavior parameters as the center of the circle, and s1 and s2 as the radii, respectively, to determine the maximum parameter circle and the minimum parameter circle, where s1 = d1 / (d1+d2), d1 is the maximum dynamic operating behavior parameter, d2 is the minimum dynamic operating behavior parameter, and s2 = d2 / (d1+d2).

[0098] The longest and shortest circle distances between the circle with the maximum parameter and the circle with the minimum parameter are determined as the second calculation basis;

[0099] The sequence parameter coefficients of the dynamic operating behavior parameter sequence are calculated based on the first calculation basis or the second calculation basis.

[0100] In this embodiment, the center of the parameter circle is the position point of the dynamic running behavior parameter that falls on the data line, and the radius is the corresponding dynamic running behavior parameter.

[0101] In this embodiment, as described above, it is first determined whether there is an intersection between the parameter circles. If there is an intersecting circle, the distance from the center of the parameter circle to the intersecting circle is obtained. Finally, the shortest parameter distance and the longest parameter distance are taken. If there is no intersecting circle, they are all independent parameter circles. The shortest parameter distance and the longest parameter distance are determined based on the radius.

[0102] In this embodiment, the distance from the center of the circle with the largest parameter to the circle with the smallest parameter is determined, and the distance from the center of the circle with the smallest parameter to the center of the circle with the largest parameter is determined. Finally, the distance between the longest circle and the shortest circle are taken.

[0103] The beneficial effects of the above technical solution are: the present invention calculates the sequence parameter coefficients of the dynamic running behavior parameter sequence based on the first calculation basis or the second calculation basis, which can realize the accurate calculation of the sequence parameter coefficients, avoid errors, and at the same time provide a basis for the calculation of the inertial response characteristic coefficients.

[0104] In some embodiments of this application, calculating the sequence parameter coefficients of the dynamic running behavior parameter sequence based on the first calculation basis or the second calculation basis includes:

[0105] Determine the calculation coefficient f. f1 is the shortest parameter distance or the shortest circle distance, and f2 is the longest parameter distance or the longest circle distance;

[0106] The first sequence parameter coefficient of the dynamic running behavior parameter sequence is calculated according to the following formula:

[0107]

[0108] Where n1 is the first sequence parameter coefficient of the dynamic running behavior parameter sequence;

[0109] The second sequence parameter coefficients of the dynamic operating behavior parameter sequence are calculated according to the following formula:

[0110] n2 = 1 - 2n1;

[0111] Where n2 is the second sequence parameter coefficient of the dynamic running behavior parameter sequence.

[0112] In this embodiment, if f1 is the shortest parameter distance, then f2 is the longest parameter distance; if f1 is the shortest circle distance, then f2 is the longest circle distance.

[0113] The beneficial effect of the above technical solution is that it provides the ability to calculate the coefficients of the first sequence parameter and the coefficients of the second sequence parameter.

[0114] S140: Calculate the inertial response characteristic coefficients within the new energy power station based on the sequence parameter coefficients of the dynamic operation behavior parameter sequence;

[0115] In some embodiments of this application, the calculation of the inertial response characteristic coefficients within the new energy power station based on the sequence parameter coefficients of the dynamic operating behavior parameter sequence includes:

[0116] A sequence of dynamic operating behavior parameters is randomly determined, and the corresponding first extraction coefficient and second extraction coefficient are extracted.

[0117] Randomly determine another sequence of dynamic running behavior parameters, and extract the corresponding third and fourth extraction coefficients;

[0118] Calculate the difference between the first extraction coefficient and the third extraction coefficient;

[0119] Extract the maximum and minimum first sequence parameter coefficients from all first sequence parameter coefficients, and calculate the difference in first-pole sequence parameter coefficients;

[0120] Calculate the first coefficient difference ratio between the first extracted coefficient difference and the first polar sequence parameter coefficient difference;

[0121] Calculate the difference between the second extraction coefficient and the third extraction coefficient and the fourth extraction coefficient;

[0122] Extract the maximum and minimum second sequence parameter coefficients from all second sequence parameter coefficients, and calculate the difference in second sequence parameter coefficients.

[0123] Calculate the ratio of the second coefficient difference between the second extracted coefficient difference and the second pole sequence parameter coefficient difference;

[0124] Calculate the product of the first coefficient difference ratio and the second coefficient difference ratio, and use it as the factor to be processed;

[0125] All the factors to be processed are normalized to obtain a sequence of factors to be processed, and the inertial response characteristic coefficients in the new energy power station are calculated based on the sequence of factors to be processed.

[0126] In this embodiment, for ease of distinction, the first sequence parameter coefficient of the dynamic running behavior parameter sequence is named the first extraction coefficient, the second sequence parameter coefficient is named the second extraction coefficient, the first sequence parameter coefficient of another dynamic running behavior parameter sequence is named the third extraction coefficient, and the second sequence parameter coefficient is named the fourth extraction coefficient.

[0127] In this embodiment, the normalization process will not be described in detail.

[0128] The beneficial effects of the above technical solution are as follows: This invention normalizes all the factors to be processed to obtain a sequence of factors to be processed, which can reduce the difficulty of data calculation and improve the calculation efficiency. The inertial response characteristic coefficient in the new energy power station is calculated according to the sequence of factors to be processed, which ensures the calculation accuracy of the inertial response characteristic coefficient, realizes the inertial response of the new energy power station under dynamic operating conditions, ensures the consistency of the inertial response, improves the inertial response capability of the new energy power station in the power grid, and enhances the stability and security of the power grid.

[0129] In some embodiments of this application, when normalizing all the factors to be processed to obtain a sequence of factors to be processed, and calculating the inertial response characteristic coefficients within the new energy power station based on the sequence of factors to be processed, the following steps are included:

[0130] The factors to be processed in the sequence of factors to be processed are randomly combined in pairs to obtain multiple combinations of factors to be processed.

[0131] The inertial response characteristic coefficients within the new energy power station are calculated based on a combination of multiple factors to be processed.

[0132]

[0133] Where h is the inertial response characteristic coefficient within the new energy power station, m is the number of combinations of factors to be processed, and g1 i Let g1 be the factor to be processed in the i-th combination of factors to be processed, and g2 be another factor to be processed in the i-th combination of factors to be processed, ((g1i-g2i)). 2 min represents all (g1i-g2i) 2 The minimum value in ((g1) i -g2 i ) 2 ) max For all (g1) i -g2 i ) 2 The maximum value in, k 2 For all (g1) i -g2 i ) 2 The variance.

[0134] S150: Select the corresponding inertia response strategy based on the inertia response characteristic coefficient in the new energy power station, and control the grid-connected equipment in the new energy power station according to the inertia response strategy.

[0135] In some embodiments of this application, before selecting a corresponding inertia response strategy based on the inertia response characteristic coefficient within the new energy power station, and controlling the grid-connected equipment within the new energy power station according to the inertia response strategy, the method further includes:

[0136] The relationship between the inertia response characteristic coefficient and the preset inertia response characteristic coefficient is used to determine whether it is necessary to control the grid-connected equipment in the new energy power station;

[0137] When the inertia response characteristic coefficient is less than the preset inertia response characteristic coefficient, it is determined that the grid-connected equipment in the new energy power station needs to be controlled.

[0138] When the inertia response characteristic coefficient is greater than or equal to the preset inertia response characteristic coefficient, it is determined that no control is required for the grid-connected equipment in the new energy power station.

[0139] In this embodiment, the preset inertia response characteristic coefficient is preferably 8, but it can be adjusted according to actual needs.

[0140] The beneficial effects of the above technical solution are: the present invention determines whether it is necessary to control the grid-connected equipment in the new energy power station based on the relationship between the inertia response characteristic coefficient and the preset inertia response characteristic coefficient, which improves the judgment efficiency and avoids the errors and subjectivity of manual judgment.

[0141] In some embodiments of this application, when selecting a corresponding inertia response strategy based on the inertia response characteristic coefficient within the new energy power station, and controlling the grid-connected equipment within the new energy power station according to the inertia response strategy, the process includes:

[0142] The inertia response characteristic coefficients are traversed in a pre-set inertia response characteristic coefficient-inertia response strategy mapping table to determine the inertia response strategy corresponding to the inertia response characteristic coefficients.

[0143] In this embodiment, the inertia response characteristic coefficient-inertia response strategy mapping table is set in advance, and each inertia response characteristic coefficient corresponds to an inertia response strategy mapping table.

[0144] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0145] Although the invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, as long as there is no structural conflict, the features in the embodiments disclosed in this invention can be combined with each other in any way. The fact that not all of these combinations are described in this specification is merely for the sake of brevity and resource conservation.

[0146] It will be understood by those skilled in the art that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for controlling the inertial response characteristics of a new energy power station with coordinated multi-grid-connection modes, characterized in that, include: Identify the grid-connected equipment within the new energy power station and obtain the dynamic operation response corresponding to each grid-connected equipment, wherein the dynamic operation response includes dynamic operation behavior and dynamic operation behavior parameters; All grid-connected devices are screened based on the dynamic operating behavior and dynamic operating behavior parameters, and a sequence of grid-connected devices to be analyzed is obtained based on the screening results. The grid-connected devices in the grid-connected device sequence to be analyzed are analyzed, a dynamic operating behavior parameter sequence is constructed based on the same dynamic operating behavior, and the sequence parameter coefficients of the dynamic operating behavior parameter sequence are calculated based on the dynamic operating behavior parameters, wherein the sequence parameter coefficients include a first sequence parameter coefficient and a second sequence parameter coefficient; The inertial response characteristic coefficients within the new energy power station are calculated based on the sequence parameter coefficients of the dynamic operating behavior parameter sequence. Based on the inertia response characteristic coefficients within the new energy power station, a corresponding inertia response strategy is selected, and the grid-connected equipment within the new energy power station is controlled according to the inertia response strategy. When filtering all grid-connected devices based on the dynamic operating behavior and its parameters, and obtaining the sequence of grid-connected devices to be analyzed based on the filtering results, the process includes: Randomly pair all grid-connected devices to obtain multiple combinations of grid-connected devices; The device correlation degree between two grid-connected devices in the grid-connected device combination is calculated based on the dynamic operating behavior and dynamic operating behavior parameters. Extract grid-connected device combinations with a device correlation degree greater than the preset device correlation degree, and generate the first merge tag; Extract the minimum device correlation degree from all grid-connected device combinations that generate the first merged tag, extract device correlation degrees that are less than or equal to the preset device correlation degree, and construct a device correlation degree set based on the minimum device correlation degree; Determine the Euclidean distance between the minimum device correlation degree and the remaining device correlation degrees in the set of device correlation degrees; Extract the grid-connected device combination corresponding to the maximum Euclidean distance and generate the second merge marker; The sequence of grid-connected devices to be analyzed is determined based on the first merging marker and the second merging marker.

2. The method for controlling the inertia response characteristics of new energy power stations with coordinated multi-grid-connection modes according to claim 1, characterized in that, When calculating the device correlation degree between two grid-connected devices in a grid-connected device combination based on the dynamic operating behavior and dynamic operating behavior parameters, the following is included: Where w is the device correlation degree, |u1(p1∩p2)| is the number of intersections of the dynamic operating behaviors of two grid-connected devices in the grid-connected device combination, |u1(p1∪p2)| is the number of unions of the dynamic operating behaviors of two grid-connected devices in the grid-connected device combination, |u2(p1∩p2)| is the number of intersections of the dynamic operating behavior parameters of two grid-connected devices in the grid-connected device combination, and |u2(p1∪p2)| is the number of unions of the dynamic operating behavior parameters of two grid-connected devices in the grid-connected device combination, r 2 t is the average of the differences in the number of dynamic operating behaviors of two grid-connected devices in all grid-connected device combinations. 2 Let a1 be the variance of the difference in the number of dynamic operating behaviors of two grid-connected devices in all grid-connected device combinations, and a2 be the number of dynamic operating behaviors of one grid-connected device in the grid-connected device combination.

3. The method for controlling the inertia response characteristics of new energy power stations with coordinated multi-grid-connection modes according to claim 1, characterized in that, When analyzing the grid-connected devices in the grid-connected device sequence to be analyzed, constructing a dynamic operating behavior parameter sequence based on the same dynamic operating behavior, and calculating the sequence parameter coefficients of the dynamic operating behavior parameter sequence based on the dynamic operating behavior parameters, the process includes: Randomly map the dynamic operation behavior parameters in the dynamic operation behavior parameter sequence to the data point graph; Determine the maximum and minimum dynamic operating behavior parameters in the sequence of dynamic operating behavior parameters, calibrate the maximum and minimum dynamic operating behavior parameters in the data point graph, and connect them based on the data straight line; Determine whether there are dynamic running behavior parameters on the data line. If so, take the location point of the existing dynamic running behavior parameter as the center and the dynamic running behavior parameter as the radius to obtain multiple parameter circles. Determine the parameter distance from each circle center to any parameter circle, and extract the shortest and longest parameter distances as the primary calculation basis; If not, then take the positions of the maximum and minimum dynamic operating behavior parameters as the center of the circle, and s1 and s2 as the radii, respectively, to determine the maximum parameter circle and the minimum parameter circle, where s1 = d1 / (d1+d2), d1 is the maximum dynamic operating behavior parameter, d2 is the minimum dynamic operating behavior parameter, and s2 = d2 / (d1+d2). The longest and shortest circle distances between the circle with the maximum parameter and the circle with the minimum parameter are determined as the second calculation basis; The sequence parameter coefficients of the dynamic operating behavior parameter sequence are calculated based on the first calculation basis or the second calculation basis.

4. The method for controlling the inertia response characteristics of new energy power stations with multi-grid-connection mode coordination according to claim 3, characterized in that, When calculating the sequence parameter coefficients of the dynamic operating behavior parameter sequence based on the first calculation basis or the second calculation basis, the following steps are included: Determine the calculation coefficient f. f1 is the shortest parameter distance or the shortest circle distance, and f2 is the longest parameter distance or the longest circle distance; The first sequence parameter coefficient of the dynamic running behavior parameter sequence is calculated according to the following formula: Where n1 is the first sequence parameter coefficient of the dynamic running behavior parameter sequence; The second sequence parameter coefficients of the dynamic operating behavior parameter sequence are calculated according to the following formula: n2 = 1 - 2n1; Where n2 is the second sequence parameter coefficient of the dynamic running behavior parameter sequence.

5. The method for controlling the inertia response characteristics of new energy power stations with multi-grid-connection mode coordination according to claim 1, characterized in that, When calculating the inertial response characteristic coefficients within the new energy power station based on the sequence parameter coefficients of the dynamic operating behavior parameter sequence, the following steps are included: A sequence of dynamic operating behavior parameters is randomly determined, and the corresponding first extraction coefficient and second extraction coefficient are extracted. Randomly determine another sequence of dynamic running behavior parameters, and extract the corresponding third and fourth extraction coefficients; Calculate the difference between the first extraction coefficient and the third extraction coefficient; Extract the maximum and minimum first sequence parameter coefficients from all first sequence parameter coefficients, and calculate the difference in first-pole sequence parameter coefficients; Calculate the first coefficient difference ratio between the first extracted coefficient difference and the first polar sequence parameter coefficient difference; Calculate the difference between the second extraction coefficient and the third extraction coefficient and the fourth extraction coefficient; Extract the maximum and minimum second sequence parameter coefficients from all second sequence parameter coefficients, and calculate the difference in second sequence parameter coefficients. Calculate the ratio of the second coefficient difference between the second extracted coefficient difference and the second pole sequence parameter coefficient difference; Calculate the product of the first coefficient difference ratio and the second coefficient difference ratio, and use it as the factor to be processed; All the factors to be processed are normalized to obtain a sequence of factors to be processed, and the inertial response characteristic coefficients in the new energy power station are calculated based on the sequence of factors to be processed.

6. The method for controlling the inertia response characteristics of new energy power stations with coordinated multi-grid-connection modes according to claim 5, characterized in that, When normalizing all the factors to be processed to obtain a sequence of factors to be processed, and calculating the inertial response characteristic coefficients within the new energy power station based on the sequence of factors to be processed, the following steps are included: The factors to be processed in the sequence of factors to be processed are randomly combined in pairs to obtain multiple combinations of factors to be processed. The inertial response characteristic coefficients within the new energy power station are calculated based on a combination of multiple factors to be processed. Where h is the inertial response characteristic coefficient within the new energy power station, m is the number of combinations of factors to be processed, and g1 i Let g1 be the factor to be processed in the i-th combination of factors to be processed, and g2 be another factor to be processed in the i-th combination of factors to be processed. i -g2 i ) 2 ) min For all (g1) i -g2 i ) 2 The minimum value in ((g1) i -g2 i ) 2 ) max For all (g1) i -g2 i ) 2 The maximum value in, k 2 For all (g1) i -g2 i ) 2 The variance.

7. The method for controlling the inertia response characteristics of new energy power stations with coordinated multi-grid-connection modes according to claim 1, characterized in that, Before selecting a corresponding inertia response strategy based on the inertia response characteristic coefficient within the new energy power station, and controlling the grid-connected equipment within the new energy power station according to the inertia response strategy, the method further includes: The relationship between the inertia response characteristic coefficient and the preset inertia response characteristic coefficient is used to determine whether it is necessary to control the grid-connected equipment in the new energy power station; When the inertia response characteristic coefficient is less than the preset inertia response characteristic coefficient, it is determined that the grid-connected equipment in the new energy power station needs to be controlled. When the inertia response characteristic coefficient is greater than or equal to the preset inertia response characteristic coefficient, it is determined that no control is required for the grid-connected equipment in the new energy power station.

8. The method for controlling the inertia response characteristics of new energy power stations with multi-grid-connection mode coordination according to claim 1, characterized in that, When selecting a corresponding inertia response strategy based on the inertia response characteristic coefficient within the new energy power station, and controlling the grid-connected equipment within the new energy power station according to the inertia response strategy, the process includes: The inertia response characteristic coefficients are traversed in a pre-set inertia response characteristic coefficient-inertia response strategy mapping table to determine the inertia response strategy corresponding to the inertia response characteristic coefficients.

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