A wind power control method based on power grid dispatching

Abstract

The present application relates to the technical field of wind power dispatching, and in particular to a wind power control method based on power grid dispatching. It includes: establishing a wind power prediction model and multiple wind power areas; predicting long-term power curve series of wind power areas according to the wind power prediction model, and generating a first-level power generation plan according to the predicted long-term power series; obtaining real-time operating parameters of wind power areas according to preset control time nodes, and generating control instructions according to the operating parameters. By establishing a wind power prediction model and multiple wind power areas, long-term power prediction is performed on the wind power areas, and multiple initial power generation allocation plans are generated in combination with the expected power supply demand curve of the power grid, and optimal screening is performed to generate a first-level power generation plan, thereby ensuring the overall operational stability of the wind farm. By establishing multiple control cycles, the original first-level power generation plan is short-term controlled, so that the wind power area can respond to changes in power grid demand in a timely manner to ensure the stability of the wind farm output power.

Description

Technical Field

[0001] The present application relates to the technical field of wind power dispatching, and in particular to a wind power control method based on power grid dispatching. Background Art

[0002] Wind energy is a renewable energy source that does not pollute the environment. As countries around the world pay more attention to the wind power industry, the proportion of wind power in electricity production is increasing. However, due to the intermittent and uncertain nature of wind power itself, this trend makes the impact of wind power generation on the power grid more and more obvious. The intermittent and random nature of wind energy will cause fluctuations in the output power of wind farms, which in turn causes fluctuations in the power grid. Summary of the invention

[0003] The purpose of this application is: to solve the above technical problems, this application provides a wind power control method based on power grid dispatching, aiming to improve the operating stability of wind farms and reduce the operation and maintenance costs of wind power operations.

[0004] In some embodiments of the present application, by establishing a wind power prediction model and multiple wind power areas, long-term power prediction is performed on the wind power areas, and multiple initial power generation allocation plans are generated based on their predicted long-term output power combined with the expected power supply demand curve of the power grid. Optimal screening is performed to generate a primary power generation plan, thereby ensuring the overall operating stability of the wind farm.

[0005] In some embodiments of the present application, by establishing multiple control cycles, the original primary power generation plan is regulated in the short term, so that the wind power area can respond to changes in power grid demand in a timely manner. At the same time, by establishing multiple wind power areas, dynamic regulation is performed between areas to ensure the stability of the wind farm output power and avoid introducing power grid fluctuations.

[0006] In some embodiments of the present application, a wind power control method based on power grid dispatch is provided, including:

[0007] Establish wind power prediction models and multiple wind power areas,

[0008] Predicting a long-term power curve series of a wind power area according to the wind power prediction model, and generating a primary power generation plan according to the predicted long-term power curve series;

[0009] The real-time operating parameters of the wind power area are acquired according to the preset control time node, and the control instruction is generated according to the operating parameters.

[0010] In some embodiments of the present application, when a primary power generation plan is generated according to a predicted long-term power curve series, the process includes:

[0011] Establish a wind farm power supply demand forecasting model;

[0012] Generate an expected power demand curve A1 according to the wind farm power demand prediction model;

[0013] Generate a wind power area number according to equipment parameters of all the wind power areas;

[0014] Generate a predicted long-term power curve series C of the wind power area according to the wind power prediction model, C=(C1, C2...Cm), where m is the number of wind power areas, and Ci is the predicted long-term power curve of the i-th wind power area;

[0015] Generate multiple initial power generation allocation plans according to the predicted long-term power curve series C and the expected power supply demand curve A1;

[0016] A primary power generation plan is generated based on all of the initial power generation allocation plans.

[0017] In some embodiments of the present application, when a primary power generation plan is generated according to all the initial power generation allocation plans, it includes:

[0018] Generate stability evaluation values ​​of all the initial power generation allocation plans, and establish a stability evaluation value sequence D, D = (D1, D2 ... Dn), where n is the number of initial power generation allocation plans;

[0019] A first-level power generation plan is generated according to the initial power generation allocation plan corresponding to the maximum value in the stability evaluation value sequence D.

[0020] In some embodiments of the present application, the generating of multiple initial power generation allocation plans includes:

[0021] Generate a power generation range for each wind power area according to the predicted long-term power curve sequence C;

[0022] According to all the power generation intervals and the expected power supply demand curve A1, a power generation allocation plan series B is established, B=(B1, B2…Bn), where Bi=(b i1 , b i2 …b im );

[0023] Among them, n is the power generation allocation plan, Bi is the i-th power generation allocation plan, bim is the power generation curve corresponding to the m-th wind power area in the i-th power supply plan; m is the number of wind power areas, and bim is within the power generation range of the i-th wind power area.

[0024] In some embodiments of the present application, when generating the stability evaluation values ​​of all the initial power generation allocation plans, it includes:

[0025] According to the predicted long-term power curve series C, a power generation-fluctuation probability mapping table is established for each wind power area;

[0026] Generate the fluctuation probability of each power generation allocation plan according to the power generation - fluctuation probability mapping table;

[0027] Generate the stability evaluation value of each power generation allocation plan according to the fluctuation probability.

[0028] In some embodiments of the present application, generating a regulation instruction according to the operating parameters includes:

[0029] Generate a selection order according to the wind power region number;

[0030] Set each wind power region as the target wind power region in sequence according to the selection order;

[0031] Establish a short - term power prediction model;

[0032] Establish a regulation period according to the regulation time node;

[0033] Generate the predicted short - term power ci of the current regulation period according to the regulation time node and the short - term power prediction model, where ci is the predicted short - term power ci when the i - th wind power region is the target wind power region;

[0034] Obtain the predicted long - term power curve Ci of the target wind power region;

[0035] Judge whether to generate a regulation instruction within the current regulation period according to the predicted long - term power curve Ci of the target wind power region and the predicted short - term power ci of the current regulation period.

[0036] In some embodiments of the present application, when judging whether to generate a regulation instruction within the current regulation period according to the predicted long - term power curve Ci of the target wind power region and the predicted short - term power ci of the current regulation period, it includes:

[0037] When Ci < ci, generate a real - time power difference e;

[0038] Preset a power difference threshold e1;

[0039] If e1 > e, no regulation instruction is generated for the target wind power region within the current regulation period, and the target wind power region is set as a type - I wind power region in the current regulation period;

[0040] If e1 < e, a first regulation instruction is generated for the target wind power region within the current regulation period, and the target wind power region is set as a type - II wind power region in the current regulation period.

[0041] In some embodiments of the present application, when presetting the power difference threshold e1, it includes:

[0042] Obtaining the operating parameters of the target wind power area, and generating the adjustment cost f1 and the unit power increase benefit f2 according to the operating parameters;

[0043] Get the predicted short-term power of the previous regulation cycle;

[0044] Get the actual short-term power of the previous regulation cycle;

[0045] Generate short-term power prediction model credibility g;

[0046] Generate a power difference threshold e1;

[0047] e1=g*f1 / f2.

[0048] In some embodiments of the present application, when judging whether to generate a control instruction in the current control cycle according to the predicted long-term power curve Ci of the target wind power area and the predicted short-term power ci of the current control cycle, it also includes:

[0049] Generate a standard power generation h1 of the current control period of the target wind power area according to the control period and the first-level power generation plan;

[0050] When Ci>ci, the current target wind power area is set as the third type of wind power area in the current regulation cycle;

[0051] Obtain the historical energy storage of the target wind power area, and correct the predicted short-term power ci according to the historical energy storage;

[0052] Generating expected power generation h2 based on the revised forecast short-term power ci;

[0053] Generate a power generation difference j based on the standard power generation h1 and the expected power generation h2;

[0054] Obtain the power generation difference of all three types of wind power areas in the current regulation cycle to generate the total power generation reduction value j1;

[0055] According to the power generation difference of all the second-class wind power areas in the current regulation cycle, the total power generation increase value j2 is generated;

[0056] A control instruction in the current control cycle is generated according to the total value of power generation increase j2 and the total value of power generation decrease j1.

[0057] In some embodiments of the present application, when a control instruction is generated according to the total value of power generation increase j2 and the total value of power generation decrease j1, it includes:

[0058] If j1≤j2, generate energy storage control instructions;

[0059] If j1>j2, obtain the expected total increase in power generation j3 for all Class I wind power areas;

[0060] When j1≤j2+j3, a secondary control instruction is generated in the current control cycle;

[0061] When j1>j2+j3, three-level control instructions are generated in the current control cycle.

[0062] Compared with the prior art, the wind power control method based on power grid dispatch in the embodiment of the present application has the following beneficial effects:

[0063] By establishing a wind power prediction model and multiple wind power areas, long-term power prediction is carried out for the wind power areas. Based on the predicted long-term output power and the expected power supply demand curve of the power grid, multiple initial power generation allocation plans are generated, and optimal screening is performed to generate a first-level power generation plan, thereby ensuring the overall operational stability of the wind farm.

[0064] By establishing multiple control cycles, the original primary power generation plan is regulated in the short term, so that the wind power area can respond to changes in grid demand in a timely manner. At the same time, by establishing multiple wind power areas, dynamic regulation is carried out between regions to ensure the stability of wind farm output power and avoid introducing grid fluctuations. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a flow chart of a wind power control method based on power grid dispatch in the preferred embodiment of the present application. DETAILED DESCRIPTION

[0066] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0067] 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.

[0068] 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.

[0069] 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.

[0070] like Figure 1 As shown, a wind power control method based on power grid dispatching in a preferred embodiment of the present application includes:

[0071] S101: Establish a wind power prediction model and multiple wind power areas;

[0072] S102: predicting a long-term power curve series of a wind power area according to the wind power prediction model, and generating a primary power generation plan according to the predicted long-term power curve series;

[0073] S103: Acquire real-time operating parameters of the wind power area according to preset control time nodes, and generate control instructions according to the operating parameters.

[0074] Specifically, multiple wind power areas are set according to the equipment parameters and environmental parameters of the wind farm. The equipment parameters include but are not limited to the historical operating time of the equipment and the equipment failure rate. The environmental parameters include the equipment location and the change in wind speed in the equipment area. The equipment location is taken as the main factor, and comprehensive settings are made based on multiple parameters to form an internal control model of the wind farm, thereby improving the stability of the output power of the wind farm.

[0075] Specifically, when generating a first-level power generation plan based on the predicted long-term power curve series, it includes:

[0076] Establish a wind farm power supply demand forecasting model;

[0077] Generate an expected power demand curve A1 according to the wind farm power demand prediction model;

[0078] Generate wind power area numbers based on equipment parameters of all wind power areas;

[0079] Generate a series of predicted long-term power curves C of the wind power area according to the wind power prediction model, C=(C1, C2…Cm), where m is the number of wind power areas, and Ci is the predicted long-term power curve of the i-th wind power area;

[0080] Generate multiple initial power generation allocation plans based on the predicted long-term power curve series C and the expected power supply demand curve A1;

[0081] A primary power generation plan is generated based on all initial power generation allocation plans.

[0082] Specifically, the wind power prediction model is a medium- and long-term prediction model based on monthly units, which uses historical wind power data and atmospheric historical data as sample statistical information to predict future wind speed and wind power, thereby establishing a long-term output power curve.

[0083] Specifically, when generating multiple initial power generation allocation plans, it includes:

[0084] Generate the power generation range of each wind power area according to the predicted long-term power curve series C;

[0085] According to the total power generation range and the expected power supply demand curve A1, a power generation allocation plan series B is established, B=(B1,B2…Bn), where Bi=(b i1 , b i2 …b im );

[0086] Among them, n is the power generation allocation plan, Bi is the i-th power generation allocation plan, bim is the power generation curve corresponding to the m-th wind power area in the i-th power supply plan; m is the number of wind power areas, and bim is within the power generation range of the i-th wind power area.

[0087] Specifically, when establishing a power generation allocation plan, first randomly generate multiple power generation curves according to the power generation range of each wind power area, select a power generation curve from each wind power area for random combination, generate an initial combination, and determine whether the total power generation of any node in the initial combination meets the predicted demand. If yes, generate a power generation allocation plan based on the current combination result. If not, eliminate the current initial combination. Generate a power generation allocation plan sequence based on all power generation allocation plans.

[0088] In the preferred embodiment of the present application, the stability evaluation values ​​of all initial power generation allocation plans are generated, and a stability evaluation value series D is established, D=(D1, D2…Dn), where n is the number of initial power generation allocation plans;

[0089] A first-level power generation plan is generated according to the initial power generation allocation plan corresponding to the maximum value in the stability evaluation value sequence D.

[0090] Specifically, when generating the stability evaluation value of the entire initial power generation allocation plan, it includes:

[0091] According to the predicted long-term power curve series C, a power generation-fluctuation probability mapping table is established for each wind power area;

[0092] Generate the fluctuation probability of each power generation allocation plan according to the power generation-fluctuation probability mapping table;

[0093] Generate the stability evaluation value of each power generation allocation plan according to the fluctuation probability.

[0094] Specifically, iterative training is performed based on historical operation data to establish a power generation - fluctuation probability mapping table for each wind power region. The fluctuation probability refers to the probability that the equipment fails to achieve the target quantity due to operation fluctuations when the power generation curve of the i-th wind power region is bim. The greater the probability, the lower the corresponding stability evaluation value.

[0095] Specifically, by setting the stability evaluation value, optimize all initial power generation allocation plans to reduce the volatility of the primary power generation plan and improve the overall operation stability of the wind farm.

[0096] In the preferred embodiment of this application, generate a control instruction according to the operation parameters, including:

[0097] Generate a selection order according to the wind power region number;

[0098] Set each wind power region as the target wind power region in turn according to the selection order;

[0099] Establish a short-term power prediction model;

[0100] Establish a control period according to the control time node;

[0101] Generate the predicted short-term power ci of the current control period according to the control time node and the short-term power prediction model, where ci is the predicted short-term power ci when the i-th wind power region is the target wind power region;

[0102] Obtain the predicted long-term power curve Ci of the target wind power region;

[0103] Judge whether to generate a control instruction within the current control period according to the predicted long-term power curve Ci of the target wind power region and the predicted short-term power ci of the current control period.

[0104] Specifically, the prediction period of its short-term power prediction model is the same as the control period.

[0105] Specifically, by establishing a short-term prediction model, perform short-term control on the wind farm to better eliminate the influence of wind power fluctuations and ensure the stability of the wind farm output.

[0106] Specifically, when Ci < ci, generate a real-time power difference e;

[0107] Preset a power difference threshold e1;

[0108] If e1 > e, no regulation instruction is generated for the target wind power area in the current regulation period, and the target wind power area is set as a first-class wind power area in the current regulation period;

[0109] If e1 < e, a first regulation instruction is generated for the target wind power area in the current regulation period, and the target wind power area is set as a second-class wind power area in the current regulation period.

[0110] Specifically, the first regulation instruction means adjusting the relevant operating parameters of the wind power area according to the predicted short-term power to increase the power generation of the current wind power area. And the electricity outside the planned power generation is subjected to energy storage processing.

[0111] Specifically, when presetting the power difference threshold e1, it includes:

[0112] Obtain the operating parameters of the target wind power area, and generate an adjustment cost f1 and a unit power increase benefit f2 according to the operating parameters;

[0113] Obtain the predicted short-term power of the previous regulation period;

[0114] Obtain the actual short-term power of the previous regulation period;

[0115] Generate the credibility g of the short-term power prediction model;

[0116] Generate the power difference threshold e1;

[0117] e1 = g * f1 / f2.

[0118] Specifically, the adjustment cost refers to the cost required to adjust the equipment of the target wind power area from the current operating power to the predicted short-term power. By setting the power difference threshold, the wind power area is prevented from being frequently adjusted due to small fluctuations in the predicted short-term power, thereby reducing the overall operation and maintenance cost.

[0119] In the preferred embodiment of the present application, when judging whether to generate a regulation instruction in the current regulation period according to the predicted long-term power curve Ci of the target wind power area and the predicted short-term power ci of the current regulation period, it further includes:

[0120] Generate the standard power generation h1 of the target wind power area in the current regulation period according to the regulation period and the primary power generation plan;

[0121] When Ci > ci, set the current target wind power area as a third-class wind power area in the current regulation period;

[0122] Obtain the historical energy storage of the target wind power area, and correct the predicted short-term power ci according to the historical energy storage;

[0123] Generate the expected power generation h2 according to the corrected predicted short-term power ci;

[0124] Generate power generation difference j based on standard power generation h1 and expected power generation h2;

[0125] Obtain the power generation difference of all three types of wind power areas in the current regulation cycle to generate the total power generation reduction value j1;

[0126] Specifically, correcting the short-term power ci according to historical energy storage means judging whether the short-term power can be made consistent with the long-term power by releasing the historical energy storage. If so, the short-term power of the target area is increased directly by releasing the historical energy storage. If not, the corrected short-term power is the maximum output power after all the historical energy storage is released.

[0127] According to the power generation difference of all the second-class wind power areas in the current regulation cycle, the total power generation increase value j2 is generated;

[0128] The control instructions within the current control cycle are generated according to the total value of power generation increase j2 and the total value of power generation decrease j1.

[0129] Specifically, when generating standard power generation, including

[0130] Specifically, if j1≤j2, an energy storage control instruction is generated;

[0131] If j1>j2, obtain the expected total increase in power generation j3 for all Class I wind power areas;

[0132] When j1≤j2+j3, a secondary control instruction is generated in the current control cycle;

[0133] When j1>j2+j3, three-level control instructions are generated in the current control cycle.

[0134] Specifically, its energy storage control instruction refers to the second-class wind power area inputting the remaining power generation into the energy storage module of the wind power area after the surplus power generation of the third-class wind power area is used to make up for the vacant power generation of the third-class wind power area. The second-class control instruction refers to the first-class wind power area adjusting the operating parameters according to its predicted short-term power to ensure the overall output power of the wind farm.

[0135] The third-level control instruction means that all wind power areas begin to release historical storage to increase power generation, thereby ensuring the overall output power of the wind farm.

[0136] According to the first concept of the present application, by establishing a wind power prediction model and multiple wind power areas, long-term power prediction is carried out for the wind power areas, and multiple initial power generation allocation plans are generated based on their predicted long-term output power combined with the expected power supply demand curve of the power grid. After optimization screening, a primary power generation plan is generated to ensure the overall operational stability of the wind farm.

[0137] According to the second concept of the present application, by establishing multiple control cycles, the original primary power generation plan is regulated in the short term, so that the wind power area can respond to changes in power grid demand in a timely manner. At the same time, by establishing multiple wind power areas, dynamic regulation is carried out between areas to ensure the stability of wind farm output power and avoid introducing power grid fluctuations.

[0138] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A wind power control method based on power grid dispatching, characterized in that: Including: Establishing a wind power prediction model and multiple wind power regions; Predicting a long-term power curve sequence of a wind power region according to the wind power prediction model, and generating a primary power generation plan according to the predicted long-term power curve sequence; Obtaining real-time operation parameters of a wind power region according to a preset regulation time node, and generating a regulation instruction according to the operation parameters; When generating a primary power generation plan according to the predicted long-term power curve sequence, including: Establishing a power supply demand prediction model for a wind farm; Generating an expected power supply demand curve A1 according to the power supply demand prediction model for the wind farm; Generating a wind power region number according to the equipment parameters of all the wind power regions; Generating a predicted long-term power curve sequence C for the wind power region according to the wind power prediction model, C = (C1, C2…Cm), where m is the number of wind power regions, and Ci is the predicted long-term power curve of the i-th wind power region; Generating a plurality of initial power generation allocation plans according to the predicted long-term power curve sequence C and the expected power supply demand curve A1; Generating a primary power generation plan according to all the initial power generation allocation plans; When generating a primary power generation plan according to all the initial power generation allocation plans, including: Generating a stability evaluation value for all the initial power generation allocation plans, and establishing a stability evaluation value sequence D, D = (D1, D2…Dn), where n is the number of initial power generation allocation plans; Generating a primary power generation plan according to the initial power generation allocation plan corresponding to the maximum value in the stability evaluation value sequence D; When generating the plurality of initial power generation allocation plans, including: Generating a power generation interval for each wind power region according to the predicted long-term power curve sequence C; According to all the power generation intervals and the expected power supply demand curve A1, a power generation allocation plan series B is established, B=(B1, B2…Bn), where Bi=(b i1 , b i2 …b im ); Where n is the power generation allocation plan, Bi is the i-th power generation allocation plan, b im is the power generation curve corresponding to the mth wind power area in the i-th power supply plan; m is the number of wind power areas, and b im It is within the power generation range of the i-th wind power area; When generating the stability evaluation value for all the initial power generation allocation plans, including: Establishing a power generation - fluctuation probability mapping table for each wind power region according to the predicted long-term power curve sequence C; Generating a fluctuation probability for each power generation allocation plan according to the power generation - fluctuation probability mapping table; Generating a stability evaluation value for each power generation allocation plan according to the fluctuation probability.

2. The wind power control method based on power grid dispatching according to claim 1, characterized in that: When generating a regulation instruction according to the operation parameters, including: Generating a selection order according to the wind power region number; Sequentially setting each wind power region as a target wind power region according to the selection order; Establishing a short-term power prediction model; Establishing a regulation period according to the regulation time node; Generating a predicted short-term power ci for the current regulation period according to the regulation time node and the short-term power prediction model, where ci is the predicted short-term power when the i-th wind power region is the target wind power region; Obtaining the predicted long-term power curve Ci of the target wind power region; Judging whether to generate a regulation instruction within the current regulation period according to the predicted long-term power curve Ci of the target wind power region and the predicted short-term power ci of the current regulation period.

3. The wind power control method based on power grid dispatching according to claim 2, characterized in that: When judging whether to generate a regulation instruction within the current regulation period according to the predicted long-term power curve Ci of the target wind power region and the predicted short-term power ci of the current regulation period, including: When Ci < ci, generating a real-time power difference e; Presetting a power difference threshold e1; If e1 > e, no regulation instruction is generated for the target wind power area within the current regulation period, and the target wind power area is set as a first-class wind power area within the current regulation period; If e1 < e, a first regulation instruction is generated for the target wind power area within the current regulation period, and the target wind power area is set as a second-class wind power area within the current regulation period.

4. The wind power control method based on power grid dispatching according to claim 3 is characterized in that: When presetting the power difference threshold e1, it includes: Obtain the operating parameters of the target wind power area, and generate an adjustment cost f1 and a unit power increase benefit f2 according to the operating parameters; Obtain the predicted short-term power of the previous regulation period; Obtain the actual short-term power of the previous regulation period; Generate the credibility g of the short-term power prediction model; Generate the power difference threshold e1; e1 = g * f1 / f2.

5. The wind power control method based on power grid dispatching according to claim 4, characterized in that: When judging whether to generate a regulation instruction within the current regulation period according to the predicted long-term power curve Ci of the target wind power area and the predicted short-term power ci of the current regulation period, it also includes: Generate the standard power generation amount h1 of the target wind power area in the current regulation period according to the regulation period and the primary power generation plan; When Ci > ci, set the current target wind power area as a third-class wind power area within the current regulation period; Obtain the historical energy storage of the target wind power area, and correct the predicted short-term power ci according to the historical energy storage; Generate the expected power generation amount h2 according to the corrected predicted short-term power ci; Generate a power generation difference j according to the standard power generation amount h1 and the expected power generation amount h2; Obtain the power generation differences of all third-class wind power areas within the current regulation period, and generate a total power generation reduction value j1; Generate a total power generation increase value j2 according to the power generation differences of all second-class wind power areas within the current regulation period; Generate a regulation instruction within the current regulation period according to the total power generation increase value j2 and the total power generation reduction value j1.

6. The wind power control method based on power grid dispatching according to claim 5, characterized in that: When generating a regulation instruction according to the total power generation increase value j2 and the total power generation reduction value j1, it includes: If j1 ≤ j2, generate an energy storage regulation instruction; If j1 > j2, obtain the total expected power generation increase amount j3 of all first-class wind power areas; When j1 ≤ j2 + j3, generate a secondary regulation instruction within the current regulation period; When j1 > j2 + j3, generate a tertiary regulation instruction within the current regulation period.

Images