Multi-grid-connected mode coordinated inertia response characteristic control method for new energy station

Abstract

The invention relates to the technical field of new energy stations, and discloses a multi-grid-connected mode coordinated new energy station inertia response characteristic control method, which comprises the following steps: determining grid-connected devices in a new energy station, and obtaining a dynamic operation response corresponding to each grid-connected device; screening all the grid-connected devices according to the dynamic operation behaviors and the dynamic operation behavior parameters to obtain a to-be-analyzed grid-connected device sequence; constructing a dynamic operation behavior parameter sequence according to the same dynamic operation behavior, and calculating a sequence parameter coefficient of the dynamic operation behavior parameter sequence; calculating an inertia response characteristic coefficient in the new energy station based on the sequence parameter coefficient; and selecting a corresponding inertia response strategy based on the inertia response characteristic coefficient, and controlling grid-connected equipment in the new energy station, thereby realizing inertia response of the new energy station under a dynamic working condition, ensuring consistency of the inertia response, improving inertia response capability of the new energy station in a power grid, and enhancing stability and safety of the power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy stations, and in particular to a method for controlling inertia response characteristics of a new energy station in coordination with multiple grid-connected modes. Background Art

[0002] New energy stations refer to wind farms or solar power stations that are centrally connected to the power system, and a collection of all equipment below the grid connection point. These equipment include transformers, busbars, lines, converters, energy storage, wind turbines, photovoltaic power generation equipment, reactive power regulation equipment and auxiliary equipment. In new energy stations, with the large-scale grid connection of new energy power generation, its intermittent, volatile and random characteristics make the safe and stable operation of the power grid face increasingly severe challenges. In order to solve this problem, improving the inertia response characteristics of new energy stations has become a hot topic in current research.

[0003] In the existing technology, there are many deficiencies in the coordinated control of primary frequency regulation and inertia response of new energy stations. First, traditional control methods often focus on the performance optimization of a single device, while ignoring the synergy between multiple devices in the station. Secondly, the existing control strategies are difficult to adapt to the diverse working modes of new energy stations, resulting in large differences in inertia response effects under different working conditions. In addition, due to the decentralized information collection of each converter within the new energy station, each converter will make inconsistent responses to the transient conditions of the power grid, affecting the real-time and accuracy of the station's response to the transient conditions of the power grid. Summary of the invention

[0004] The embodiment of the present invention provides a method for controlling the inertia response characteristics of a new energy station in coordinated multi-grid-connected modes, which realizes the inertia response of the new energy station under dynamic conditions, ensures the consistency of the inertia response, improves the inertia response capability of the new energy station in the power grid, and enhances the stability and security of the power grid.

[0005] In order to achieve the above object, the present invention provides a method for controlling inertia response characteristics of a new energy station coordinated by multiple grid-connected modes, comprising:

[0006] Determine the grid-connected equipment in the new energy station, and obtain the dynamic operation response corresponding to each grid-connected equipment, wherein the dynamic operation response includes a dynamic operation behavior and a dynamic operation behavior parameter;

[0007] Screening all grid-connected devices according to the dynamic operation behavior and the dynamic operation behavior parameters, and obtaining a sequence of grid-connected devices to be analyzed based on the screening results;

[0008] Analyze the grid-connected devices in the grid-connected device sequence to be analyzed, construct a dynamic operation behavior parameter sequence according to the same dynamic operation behavior, and calculate a sequence parameter coefficient of the dynamic operation behavior parameter sequence based on the dynamic operation behavior parameters, wherein the sequence parameter coefficient includes a first sequence parameter coefficient and a second sequence parameter coefficient;

[0009] Calculating the inertia response characteristic coefficient in the new energy station based on the sequence parameter coefficient of the dynamic operation behavior parameter sequence;

[0010] A corresponding inertia response strategy is selected based on the inertia response characteristic coefficient in the new energy station, and the grid-connected equipment in the new energy station is controlled according to the inertia response strategy.

[0011] Furthermore, when all grid-connected devices are screened according to the dynamic operation behavior and the dynamic operation behavior parameters, and a grid-connected device sequence to be analyzed is obtained based on the screening result, it includes:

[0012] All grid-connected devices are randomly matched in pairs to obtain multiple grid-connected device combinations;

[0013] Calculating the device association degree of two grid-connected devices in the grid-connected device combination according to the dynamic operation behavior and the dynamic operation behavior parameter;

[0014] Extracting a combination of grid-connected devices whose device association degree is greater than a preset device association degree, and generating a first merging mark;

[0015] Extracting the minimum device association degree from all grid-connected device combinations that generate the first merge mark, extracting the device association degree that is less than or equal to the preset device association degree, and constructing a device association degree set based on the minimum device association degree;

[0016] respectively determining the Euclidean distance between the minimum device association degree and the remaining device association degrees in the device association degree set;

[0017] Extracting the grid-connected device combination corresponding to the maximum Euclidean distance and generating a second merging mark;

[0018] The grid-connected device sequence to be analyzed is determined according to the first merging mark and the second merging mark.

[0019] Further, when calculating the device association degree of two grid-connected devices in the grid-connected device combination according to the dynamic operation behavior and the dynamic operation behavior parameter, it includes:

[0020]

[0021] Wherein, w is the device association degree, |u1(p1∩p2)| is the number of intersections of the dynamic operation behaviors of two grid-connected devices in the grid-connected device combination, |u1(p1∪p2)| is the number of unions of the dynamic operation behaviors of two grid-connected devices in the grid-connected device combination, |u2(p1∩p2)| is the number of intersections of the dynamic operation behavior parameters of two grid-connected devices in the grid-connected device combination, |u2(p1∪p2)| is the number of unions of the dynamic operation behavior parameters of two grid-connected devices in the grid-connected device combination, r 2 is the average value of the difference in the dynamic operation behavior quantity of two grid-connected devices in all grid-connected device combinations, t 2 is the variance of the difference in the number of dynamic operation behaviors of two grid-connected devices in all grid-connected device combinations, a1 is the number of dynamic operation behaviors of one grid-connected device in the grid-connected device combination, and a2 is the number of dynamic operation behaviors of another 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 operation behavior parameter sequence according to the same dynamic operation behavior, and calculating the sequence parameter coefficient of the dynamic operation behavior parameter sequence based on the dynamic operation behavior parameters, it includes:

[0023] Randomly mapping the dynamic operation behavior parameters in the dynamic operation behavior parameter sequence into a data point graph;

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

[0025] Determine whether there is a dynamic operation behavior parameter on the data straight line, and if so, obtain multiple parameter circles with the position point of the existing dynamic operation behavior parameter as the center and the dynamic operation behavior parameter as the radius;

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

[0027] If not, then determine the maximum parameter circle and the minimum parameter circle with the position points of the maximum dynamic operation behavior parameter and the minimum dynamic operation behavior parameter as the center and s1 and s2 as the radius, wherein s1=d1 / (d1+d2), d1 is the maximum dynamic operation behavior parameter, d2 is the minimum dynamic operation behavior parameter, and s2=d2 / (d1+d2);

[0028] Determine the longest circle distance and the shortest circle distance between the maximum parameter circle and the minimum parameter circle as a second calculation basis;

[0029] The sequence parameter coefficient of the dynamic operation behavior parameter sequence is calculated according to the first calculation basis or the second calculation basis.

[0030] Further, when calculating the sequence parameter coefficient of the dynamic operation behavior parameter sequence according to the first calculation basis or the second calculation basis, it includes:

[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 operation behavior parameter sequence is calculated according to the following formula:

[0033]

[0034] Among them, n1 is the first sequence parameter coefficient of the dynamic operation behavior parameter sequence;

[0035] The second sequence parameter coefficient of the dynamic operation behavior parameter sequence is calculated according to the following formula:

[0036] n2=1-2n1;

[0037] Wherein, n2 is the second sequence parameter coefficient of the dynamic operation behavior parameter sequence.

[0038] Furthermore, when calculating the inertia response characteristic coefficient in the new energy station based on the sequence parameter coefficient of the dynamic operation behavior parameter sequence, it includes:

[0039] Randomly determine a dynamic operation behavior parameter sequence, and extract the corresponding first extraction coefficient and second extraction coefficient;

[0040] Randomly determine another dynamic operation behavior parameter sequence, and extract the corresponding third extraction coefficient and fourth extraction coefficient;

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

[0042] Extract the maximum first sequence parameter coefficient and the minimum first sequence parameter coefficient from all first sequence parameter coefficients, and calculate the difference of the first sequence parameter coefficients;

[0043] Calculating a first coefficient difference ratio of the first extraction coefficient difference and the first pole sequence parameter coefficient difference;

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

[0045] Extract the maximum second sequence parameter coefficient and the minimum second sequence parameter coefficient from all the second sequence parameter coefficients, and calculate the difference of the second sequence parameter coefficients;

[0046] Calculate a second coefficient difference ratio of the second extraction 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 a factor to be processed;

[0048] All the factors to be processed are normalized to obtain a sequence of factors to be processed, and the inertia response characteristic coefficient in the new energy station is calculated according to the sequence of factors to be processed.

[0049] Furthermore, when all the factors to be processed are normalized to obtain a sequence of factors to be processed, the inertia response characteristic coefficient in the new energy station is calculated according to the sequence of factors to be processed, including:

[0050] Randomly combining the factors to be processed in the sequence of factors to be processed in pairs to obtain multiple combinations of factors to be processed;

[0051] The inertia response characteristic coefficient in the new energy station is calculated based on a combination of multiple factors to be processed:

[0052]

[0053] Among them, h is the inertia response characteristic coefficient in the new energy station, m is the number of factor combinations to be processed, g1 i is the factor to be processed in the ith factor combination to be processed, g2 is another factor to be processed in the ith factor combination to be processed, ((g1i-g2i) 2 )min for all (g1i-g2i) 2 The minimum value in ((g1 i -g2 i ) 2 ) max For all (g1 i -g2 i ) 2 The maximum value among them, k 2 For all (g1 i -g2 i ) 2 The variance of .

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

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

[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 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 there is no need to control the grid-connected equipment in the new energy station.

[0058] Furthermore, when a corresponding inertia response strategy is selected based on the inertia response characteristic coefficient in the new energy station, and the grid-connected equipment in the new energy station is controlled according to the inertia response strategy, it includes:

[0059] The inertia response characteristic coefficient is traversed in a preset inertia response characteristic coefficient-inertia response strategy mapping table to determine an inertia response strategy corresponding to the inertia response characteristic coefficient.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] The invention discloses a multi-grid-connected mode coordinated inertia response characteristic control method for a new energy station, which comprises the following steps: determining grid-connected equipment in a new energy station, obtaining a dynamic operation response corresponding to each grid-connected equipment; screening all grid-connected equipment according to dynamic operation behaviors and dynamic operation behavior parameters, and obtaining a sequence of grid-connected equipment to be analyzed; constructing a dynamic operation behavior parameter sequence according to the same dynamic operation behaviors, and calculating a sequence parameter coefficient of the dynamic operation behavior parameter sequence; calculating an inertia response characteristic coefficient in the new energy station based on the sequence parameter coefficient; selecting a corresponding inertia response strategy based on the inertia response characteristic coefficient, controlling the grid-connected equipment in the new energy station, realizing an inertia response of the new energy station under dynamic working conditions, ensuring the consistency of the inertia response, improving the inertia response capability of the new energy station in a power grid, and enhancing the stability and safety of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0063] Figure 1 A flow chart of a method for controlling inertia response characteristics of a new energy station coordinated by multiple grid-connected modes in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0064] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0065] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

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

[0067] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

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

[0069] like Figure 1 As shown, an embodiment of the present invention discloses a method for controlling inertia response characteristics of a new energy station coordinated by multiple grid-connected modes, including:

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

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

[0072] In this embodiment, the 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 to the dynamic operating behavior, that is, voltage value, current value, frequency value and reactive power value, etc.

[0073] S120: Screening all grid-connected devices according to the dynamic operation behavior and the dynamic operation behavior parameters, and obtaining a grid-connected device sequence to be analyzed based on the screening result;

[0074] In some embodiments of the present application, when all grid-connected devices are screened according to the dynamic operation behavior and the dynamic operation behavior parameters, and a grid-connected device sequence to be analyzed is obtained based on the screening result, it includes:

[0075] All grid-connected devices are randomly matched in pairs to obtain multiple grid-connected device combinations;

[0076] Calculating the device association degree of two grid-connected devices in the grid-connected device combination according to the dynamic operation behavior and the dynamic operation behavior parameter;

[0077] Extracting a combination of grid-connected devices whose device association degree is greater than a preset device association degree, and generating a first merging mark;

[0078] Extracting the minimum device association degree from all grid-connected device combinations that generate the first merge mark, extracting the device association degree that is less than or equal to the preset device association degree, and constructing a device association degree set based on the minimum device association degree;

[0079] respectively determining the Euclidean distance between the minimum device association degree and the remaining device association degrees in the device association degree set;

[0080] Extracting the grid-connected device combination corresponding to the maximum Euclidean distance and generating a second merging mark;

[0081] The grid-connected device sequence to be analyzed is determined according to the first merging mark and the second merging mark.

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

[0083] In this embodiment, the preset device association degree is preferably 7, and can be specifically set according to actual needs.

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

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

[0086] The beneficial effect of the above technical solution is that the present invention determines the sequence of grid-connected devices to be analyzed according to 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 coordinated analysis of grid-connected devices.

[0087] In some embodiments of the present application, when calculating the device association degree of two grid-connected devices in the grid-connected device combination according to the dynamic operation behavior and the dynamic operation behavior parameter, it includes:

[0088]

[0089] Wherein, w is the device association degree, |u1(p1∩p2)| is the number of intersections of the dynamic operation behaviors of two grid-connected devices in the grid-connected device combination, |u1(p1∪p2)| is the number of unions of the dynamic operation behaviors of two grid-connected devices in the grid-connected device combination, |u2(p1∩p2)| is the number of intersections of the dynamic operation behavior parameters of two grid-connected devices in the grid-connected device combination, |u2(p1∪p2)| is the number of unions of the dynamic operation behavior parameters of two grid-connected devices in the grid-connected device combination, r 2 is the average value of the difference in the dynamic operation behavior quantity of two grid-connected devices in all grid-connected device combinations, t 2 is the variance of the difference in the number of dynamic operation behaviors of two grid-connected devices in all grid-connected device combinations, a1 is the number of dynamic operation behaviors of one grid-connected device in the grid-connected device combination, and a2 is the number of dynamic operation behaviors of another grid-connected device in the grid-connected device combination.

[0090] S130: Analyze the grid-connected devices in the sequence of grid-connected devices to be analyzed, construct a dynamic operation behavior parameter sequence according to the same dynamic operation behavior, and calculate a sequence parameter coefficient of the dynamic operation behavior parameter sequence based on the dynamic operation behavior parameters, wherein the sequence parameter coefficient includes 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. The dynamic operating behavior parameter sequence here is all current values, and the rest are not shown one by one.

[0092] In some embodiments of the present application, when analyzing the grid-connected devices in the grid-connected device sequence to be analyzed, constructing a dynamic operation behavior parameter sequence according to the same dynamic operation behavior, and calculating the sequence parameter coefficient of the dynamic operation behavior parameter sequence based on the dynamic operation behavior parameter, it includes:

[0093] Randomly mapping the dynamic operation behavior parameters in the dynamic operation behavior parameter sequence into a data point graph;

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

[0095] Determine whether there is a dynamic operation behavior parameter on the data straight line, and if so, obtain multiple parameter circles with the position point of the existing dynamic operation behavior parameter as the center and the dynamic operation behavior parameter as the radius;

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

[0097] If not, then determine the maximum parameter circle and the minimum parameter circle with the position points of the maximum dynamic operation behavior parameter and the minimum dynamic operation behavior parameter as the center and s1 and s2 as the radius, wherein s1=d1 / (d1+d2), d1 is the maximum dynamic operation behavior parameter, d2 is the minimum dynamic operation behavior parameter, and s2=d2 / (d1+d2);

[0098] Determine the longest circle distance and the shortest circle distance between the maximum parameter circle and the minimum parameter circle as a second calculation basis;

[0099] The sequence parameter coefficient of the dynamic operation behavior parameter sequence is calculated according to 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 operation behavior parameter that falls on the data line, and the radius is the corresponding dynamic operation behavior parameter.

[0101] In this embodiment, as described above, it is first determined whether there is any 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, and finally the shortest parameter distance and the longest parameter distance are taken. If there is no intersecting circle and 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 maximum parameter circle to the minimum parameter circle is determined, and the distance from the center of the minimum parameter circle to the center of the maximum parameter circle is determined, and finally the longest circle distance and the shortest circle distance are obtained.

[0103] The beneficial effect of the above technical solution is that the present invention calculates the sequence parameter coefficients of the dynamic operation behavior parameter sequence according to the first calculation basis or the second calculation basis, which can realize the accurate calculation of the sequence parameter coefficients and avoid errors, and at the same time provide a basis for the calculation of the inertia response characteristic coefficient.

[0104] In some embodiments of the present application, when calculating the sequence parameter coefficient of the dynamic operation behavior parameter sequence according to the first calculation basis or the second calculation basis, it 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 operation behavior parameter sequence is calculated according to the following formula:

[0107]

[0108] Among them, n1 is the first sequence parameter coefficient of the dynamic operation behavior parameter sequence;

[0109] The second sequence parameter coefficient of the dynamic operation behavior parameter sequence is calculated according to the following formula:

[0110] n2=1-2n1;

[0111] Wherein, n2 is the second sequence parameter coefficient of the dynamic operation 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: the first sequence parameter coefficient and the second sequence parameter coefficient can be obtained by providing calculation.

[0114] S140: Calculating an inertia response characteristic coefficient in the new energy station based on a sequence parameter coefficient of the dynamic operation behavior parameter sequence;

[0115] In some embodiments of the present application, when calculating the inertia response characteristic coefficient in the new energy station based on the sequence parameter coefficient of the dynamic operation behavior parameter sequence, it includes:

[0116] Randomly determine a dynamic operation behavior parameter sequence, and extract the corresponding first extraction coefficient and second extraction coefficient;

[0117] Randomly determine another dynamic operation behavior parameter sequence, and extract the corresponding third extraction coefficient and fourth extraction coefficient;

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

[0119] Extract the maximum first sequence parameter coefficient and the minimum first sequence parameter coefficient from all first sequence parameter coefficients, and calculate the difference of the first sequence parameter coefficients;

[0120] Calculating a first coefficient difference ratio of the first extraction coefficient difference and the first pole sequence parameter coefficient difference;

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

[0122] Extract the maximum second sequence parameter coefficient and the minimum second sequence parameter coefficient from all the second sequence parameter coefficients, and calculate the difference of the second sequence parameter coefficients;

[0123] Calculate a second coefficient difference ratio of the second extraction 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 a factor to be processed;

[0125] All the factors to be processed are normalized to obtain a sequence of factors to be processed, and the inertia response characteristic coefficient in the new energy station is calculated according to the sequence of factors to be processed.

[0126] In this embodiment, for the sake of convenience in distinction, the first sequence parameter coefficient of the dynamic operation 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 operation 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 processing method will not be introduced in detail.

[0128] The beneficial effect of the above technical solution is: the present 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 inertia response characteristic coefficient in the new energy station is calculated according to the sequence of factors to be processed, thereby ensuring the calculation accuracy of the inertia response characteristic coefficient, realizing the inertia response of the new energy station under dynamic conditions, ensuring the consistency of the inertia response, improving the inertia response capability of the new energy station in the power grid, and enhancing the stability and safety of the power grid.

[0129] In some embodiments of the present application, when all factors to be processed are normalized to obtain a sequence of factors to be processed, and the inertia response characteristic coefficient in the new energy station is calculated according to the sequence of factors to be processed, it includes:

[0130] Randomly combining the factors to be processed in the sequence of factors to be processed in pairs to obtain multiple combinations of factors to be processed;

[0131] The inertia response characteristic coefficient in the new energy station is calculated based on a combination of multiple factors to be processed:

[0132]

[0133] Among them, h is the inertia response characteristic coefficient in the new energy station, m is the number of factor combinations to be processed, g1 i is the factor to be processed in the ith factor combination to be processed, g2 is another factor to be processed in the ith factor combination to be processed, ((g1i-g2i) 2 )min for all (g1i-g2i) 2 The minimum value in ((g1 i -g2 i ) 2 ) max For all (g1 i -g2 i ) 2 The maximum value among them, k 2 For all (g1 i -g2 i ) 2 The variance of .

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

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

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

[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 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 there is no need to control the grid-connected equipment in the new energy station.

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

[0140] The beneficial effect of the above technical solution is that the present invention judges whether it is necessary to control the grid-connected equipment in the new energy station according to the relationship between the inertia response characteristic coefficient and the preset inertia response characteristic coefficient, thereby improving the judgment efficiency and avoiding the errors and subjectivity existing in manual judgment.

[0141] In some embodiments of the present application, when a corresponding inertia response strategy is selected based on the inertia response characteristic coefficient in the new energy station, and the grid-connected equipment in the new energy station is controlled according to the inertia response strategy, it includes:

[0142] The inertia response characteristic coefficient is traversed in a preset inertia response characteristic coefficient-inertia response strategy mapping table to determine an inertia response strategy corresponding to the inertia response characteristic coefficient.

[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 a suitable manner in any one or more embodiments or examples.

[0145] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not fully described in this specification is only for the sake of omitting space and saving resources.

[0146] Those skilled in the art can understand that the above are only 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 aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for controlling inertia response characteristics of a new energy station coordinated by multiple grid-connected modes, characterized in that: include: Determine the grid-connected equipment in the new energy station, and obtain the dynamic operation response corresponding to each grid-connected equipment, wherein the dynamic operation response includes a dynamic operation behavior and a dynamic operation behavior parameter; Screening all grid-connected devices according to the dynamic operation behavior and the dynamic operation behavior parameters, and obtaining a sequence of grid-connected devices to be analyzed based on the screening results; Analyze the grid-connected devices in the grid-connected device sequence to be analyzed, construct a dynamic operation behavior parameter sequence according to the same dynamic operation behavior, and calculate a sequence parameter coefficient of the dynamic operation behavior parameter sequence based on the dynamic operation behavior parameters, wherein the sequence parameter coefficient includes a first sequence parameter coefficient and a second sequence parameter coefficient; Calculating the inertia response characteristic coefficient in the new energy station based on the sequence parameter coefficient of the dynamic operation behavior parameter sequence; A corresponding inertia response strategy is selected based on the inertia response characteristic coefficient in the new energy station, and the grid-connected equipment in the new energy station is controlled according to the inertia response strategy.

2. The inertia response characteristic control method of a new energy station coordinated by multiple grid-connected modes according to claim 1 is characterized in that: When all grid-connected devices are screened according to the dynamic operation behavior and the dynamic operation behavior parameters, and a grid-connected device sequence to be analyzed is obtained based on the screening result, it includes: All grid-connected devices are randomly matched in pairs to obtain multiple grid-connected device combinations; Calculating the device association degree of two grid-connected devices in the grid-connected device combination according to the dynamic operation behavior and the dynamic operation behavior parameter; Extracting a combination of grid-connected devices whose device association degree is greater than a preset device association degree, and generating a first merging mark; Extracting the minimum device association degree from all grid-connected device combinations that generate the first merge mark, extracting the device association degree that is less than or equal to the preset device association degree, and constructing a device association degree set based on the minimum device association degree; respectively determining the Euclidean distance between the minimum device association degree and the remaining device association degrees in the device association degree set; Extracting the grid-connected device combination corresponding to the maximum Euclidean distance and generating a second merging mark; The grid-connected device sequence to be analyzed is determined according to the first merging mark and the second merging mark.

3. The inertia response characteristic control method of a new energy station coordinated by multiple grid-connected modes according to claim 2 is characterized in that: When calculating the device association degree of two grid-connected devices in the grid-connected device combination according to the dynamic operation behavior and the dynamic operation behavior parameter, it includes: Wherein, w is the device association degree, |u1(p1∩p2)| is the number of intersections of the dynamic operation behaviors of two grid-connected devices in the grid-connected device combination, |u1(p1∪p2)| is the number of unions of the dynamic operation behaviors of two grid-connected devices in the grid-connected device combination, |u2(p1∩p2)| is the number of intersections of the dynamic operation behavior parameters of two grid-connected devices in the grid-connected device combination, |u2(p1∪p2)| is the number of unions of the dynamic operation behavior parameters of two grid-connected devices in the grid-connected device combination, r 2 is the average value of the difference in the dynamic operation behavior quantity of two grid-connected devices in all grid-connected device combinations, t 2 is the variance of the difference in the number of dynamic operation behaviors of two grid-connected devices in all grid-connected device combinations, a1 is the number of dynamic operation behaviors of one grid-connected device in the grid-connected device combination, and a2 is the number of dynamic operation behaviors of another grid-connected device in the grid-connected device combination.

4. The inertia response characteristic control method of a new energy station coordinated by multiple grid-connected modes according to claim 1 is characterized in that: When analyzing the grid-connected devices in the grid-connected device sequence to be analyzed, constructing a dynamic operation behavior parameter sequence according to the same dynamic operation behavior, and calculating the sequence parameter coefficient of the dynamic operation behavior parameter sequence based on the dynamic operation behavior parameters, it includes: Randomly mapping the dynamic operation behavior parameters in the dynamic operation behavior parameter sequence into a data point graph; Determine a maximum dynamic operation behavior parameter and a minimum dynamic operation behavior parameter in the dynamic operation behavior parameter sequence, calibrate the maximum dynamic operation behavior parameter and the minimum dynamic operation behavior parameter in the data point graph, and connect them based on a data straight line; Determine whether there is a dynamic operation behavior parameter on the data straight line, and if so, obtain multiple parameter circles with the position point of the existing dynamic operation behavior parameter as the center and the dynamic operation behavior parameter as the radius; Determine the parameter distance from each circle center to any parameter circle, and extract the shortest parameter distance and the longest parameter distance as the first calculation basis; If not, then determine the maximum parameter circle and the minimum parameter circle with the position points of the maximum dynamic operation behavior parameter and the minimum dynamic operation behavior parameter as the center and s1 and s2 as the radius, wherein s1=d1 / (d1+d2), d1 is the maximum dynamic operation behavior parameter, d2 is the minimum dynamic operation behavior parameter, and s2=d2 / (d1+d2); Determine the longest circle distance and the shortest circle distance between the maximum parameter circle and the minimum parameter circle as a second calculation basis; The sequence parameter coefficient of the dynamic operation behavior parameter sequence is calculated according to the first calculation basis or the second calculation basis.

5. The method for controlling inertia response characteristics of new energy stations coordinated by multiple grid-connected modes according to claim 4 is characterized in that: When calculating the sequence parameter coefficient of the dynamic operation behavior parameter sequence according to the first calculation basis or the second calculation basis, it includes: 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 operation behavior parameter sequence is calculated according to the following formula: Among them, n1 is the first sequence parameter coefficient of the dynamic operation behavior parameter sequence; The second sequence parameter coefficient of the dynamic operation behavior parameter sequence is calculated according to the following formula: n2=1-2n1; Wherein, n2 is the second sequence parameter coefficient of the dynamic operation behavior parameter sequence.

6. The method for controlling inertia response characteristics of new energy stations coordinated by multiple grid-connected modes according to claim 1 is characterized in that: When calculating the inertia response characteristic coefficient in the new energy station based on the sequence parameter coefficient of the dynamic operation behavior parameter sequence, it includes: Randomly determine a dynamic operation behavior parameter sequence, and extract the corresponding first extraction coefficient and second extraction coefficient; Randomly determine another dynamic operation behavior parameter sequence, and extract the corresponding third extraction coefficient and fourth extraction coefficient; Calculate a first extraction coefficient difference between the first extraction coefficient and the third extraction coefficient; Extract the maximum first sequence parameter coefficient and the minimum first sequence parameter coefficient from all first sequence parameter coefficients, and calculate the difference of the first sequence parameter coefficients; Calculating a first coefficient difference ratio of the first extraction coefficient difference and the first pole sequence parameter coefficient difference; Calculate a second extraction coefficient difference between the third extraction coefficient and the fourth extraction coefficient; Extract the maximum second sequence parameter coefficient and the minimum second sequence parameter coefficient from all the second sequence parameter coefficients, and calculate the difference of the second sequence parameter coefficients; Calculate a second coefficient difference ratio of the second extraction 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 a factor to be processed; All the factors to be processed are normalized to obtain a sequence of factors to be processed, and the inertia response characteristic coefficient in the new energy station is calculated according to the sequence of factors to be processed.

7. The method for controlling inertia response characteristics of new energy stations coordinated by multiple grid-connected modes according to claim 6 is characterized in that: When all the factors to be processed are normalized to obtain a sequence of factors to be processed, and the inertia response characteristic coefficient in the new energy station is calculated according to the sequence of factors to be processed, it includes: Randomly combining the factors to be processed in the sequence of factors to be processed in pairs to obtain multiple combinations of factors to be processed; The inertia response characteristic coefficient in the new energy station is calculated based on a combination of multiple factors to be processed: Among them, h is the inertia response characteristic coefficient in the new energy station, m is the number of factor combinations to be processed, g1 i is the factor to be processed in the ith factor combination to be processed, g2 is another factor to be processed in the ith factor combination to be processed, 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 of .

8. The method for controlling inertia response characteristics of new energy stations coordinated by multiple grid-connected modes according to claim 1 is characterized in that: Before selecting a corresponding inertia response strategy based on the inertia response characteristic coefficient in the new energy station and controlling the grid-connected equipment in the new energy station according to the inertia response strategy, the method further includes: Determining whether it is necessary to control the grid-connected equipment in the new energy station according to the relationship between the inertia response characteristic coefficient and the preset inertia response characteristic coefficient; 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 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 there is no need to control the grid-connected equipment in the new energy station.

9. The method for controlling inertia response characteristics of new energy stations coordinated by multiple grid-connected modes according to claim 1 is characterized in that: When a corresponding inertia response strategy is selected based on the inertia response characteristic coefficient in the new energy station, and the grid-connected equipment in the new energy station is controlled according to the inertia response strategy, the method includes: The inertia response characteristic coefficient is traversed in a preset inertia response characteristic coefficient-inertia response strategy mapping table to determine an inertia response strategy corresponding to the inertia response characteristic coefficient.

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