A power generation scheduling method and related device

Abstract

The application discloses a power generation scheduling method and related device, which can be used in the field of energy scheduling. In the method, firstly, current operation data of a power system is acquired; the current operation data comprises power grid side operation data and power plant side operation data; then, power plant side safety calculation and power grid side safety calculation are performed based on the current operation data to obtain function abnormality information; finally, based on the function abnormality information, a target scheduling scheme is determined through a preconfigured slide ruler group; the slide ruler indicates a numerical correlation relationship between characteristic parameter values; the characteristic parameters are extracted based on the operation data. Thus, the numerical correlation relationship between the characteristic parameter values is pre-stored in the slide ruler group, when a function abnormality occurs, the target scheduling scheme can be quickly obtained through the slide ruler group without re-modeling, the time from abnormality detection to scheduling scheme generation is greatly shortened, and the safety of the power system is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy scheduling, in particular to a power generation scheduling method and related device. BACKGROUND

[0002] With the increasing penetration of new energy power plants in new power systems and the increasing complexity of power source structure, the coordinated scheduling of power grids and power plants faces multiple challenges. On the one hand, the large-scale access of intermittent power sources such as wind power and photovoltaic power leads to frequent problems such as voltage fluctuation, frequency oscillation and power imbalance on the grid side; on the other hand, traditional power sources such as hydropower and thermal power need to cope with high-frequency regulation requirements, and the correlation between their operating states and grid safety is increasingly close. The traditional scheduling method relies on manual experience or single parameter control, and it is difficult to quickly match multi-dimensional safety constraints and dynamic regulation requirements.

[0003] Therefore, how to efficiently provide a scheduling scheme for a power system to adapt to the safety scheduling requirements of a new power system becomes a problem to be solved. SUMMARY

[0004] Based on the above problems, the present application provides a power generation scheduling method and related device, which can efficiently provide a scheduling scheme for a power system.

[0005] The embodiments of the present application disclose the following technical solutions:

[0006] In a first aspect, the embodiments of the present application provide a power generation scheduling method, which comprises:

[0007] obtaining current operating data of a power system; the current operating data comprises grid-side operating data and power plant-side operating data;

[0008] performing power plant-side safety calculation and grid-side safety calculation based on the current operating data to obtain function abnormality information;

[0009] determining a target scheduling scheme through a pre-configured slide ruler group based on the function abnormality information; the slide ruler indicates a numerical correlation between characteristic parameter values; the characteristic parameters are obtained based on operating data extraction.

[0010] Optionally, applied to a hydropower plant, the performing power plant-side safety calculation and grid-side safety calculation based on the current operating data to obtain function abnormality information comprises:

[0011] performing power plant-side safety calculation and grid-side safety calculation based on the current operating data; the power plant-side safety calculation at least comprises hydraulic operation safety calculation, vibration safety calculation and load shedding safety calculation, and the grid-side safety calculation at least comprises voltage safety calculation, frequency safety calculation and system inertia safety calculation;

[0012] If any one of the power plant side safety calculation and the power grid side safety calculation indicates insufficient safety, or the difference between the current operation data and the historical reference data is greater than a preset threshold, function abnormality information including abnormal function and abnormal data is generated.

[0013] Optionally, applied to a photovoltaic power plant, the power plant side safety calculation and the power grid side safety calculation based on the current operation data are performed to obtain function abnormality information, which includes:

[0014] The power plant side safety calculation and the power grid side safety calculation are performed based on the current operation data; the power plant side safety calculation at least includes photovoltaic component safety calculation, electrical system safety calculation, active power safety calculation, and reactive power safety calculation, and the power grid side safety calculation at least includes voltage safety calculation, frequency safety calculation, and system inertia safety calculation;

[0015] If any one of the power plant side safety calculation and the power grid side safety calculation indicates insufficient safety, or the difference between the current operation data and the historical reference data is greater than a preset threshold, function abnormality information including abnormal function and abnormal data is generated.

[0016] Optionally, applied to a wind power plant, the power plant side safety calculation and the power grid side safety calculation based on the current operation data are performed to obtain function abnormality information, which includes:

[0017] The power plant side safety calculation and the power grid side safety calculation are performed based on the current operation data; the power plant side safety calculation at least includes unit structure vibration safety calculation and unit operation safety calculation, and the power grid side safety calculation at least includes voltage safety calculation, frequency safety calculation, and system inertia safety calculation;

[0018] If any one of the power plant side safety calculation and the power grid side safety calculation indicates insufficient safety, or the difference between the current operation data and the historical reference data is greater than a preset threshold, function abnormality information including abnormal function and abnormal data is generated.

[0019] Optionally, applied to a thermal power plant, the power plant side safety calculation and the power grid side safety calculation based on the current operation data are performed to obtain function abnormality information, which includes:

[0020] The power plant side safety calculation and the power grid side safety calculation are performed based on the current operation data; the power plant side safety calculation at least includes carbon emission safety calculation, and the power grid side safety calculation at least includes voltage safety calculation, frequency safety calculation, and system inertia safety calculation;

[0021] If the result of any one of the power plant side safety calculation and the power grid side safety calculation indicates insufficient safety, or the difference between the current operation data and the historical reference data is greater than a preset threshold, function abnormality information including abnormal functions and abnormal data is generated.

[0022] Optionally, the target scheduling scheme is determined based on the function abnormality information and a preconfigured slide ruler group.

[0023] A first scheduling scheme is determined based on the function abnormality information and a preconfigured first slide ruler group; the first slide ruler group is used to cooperatively schedule power generation priorities, power generation amounts, system inertias, frequencies, and voltages of different power plants.

[0024] Power plant side safety calculation and power grid side safety calculation are performed based on a scheduling result of the first scheduling scheme, and secondary abnormality information is determined.

[0025] A second scheduling scheme is determined based on the secondary abnormality information and a preconfigured second slide ruler group cooperatively scheduling operation data of different power plants; the second slide ruler group is used to cooperatively schedule operation data of multiple power plants.

[0026] The target scheduling scheme is generated based on the first scheduling scheme and a preset first weight, and the second scheduling scheme and a preset second weight.

[0027] Optionally, the target scheduling scheme is determined based on the function abnormality information and a preconfigured slide ruler group, including:

[0028] A target slide ruler corresponding to an abnormal function indicated in the function abnormality information is determined based on the abnormal function and functions of slide rulers in the preconfigured slide ruler group.

[0029] A sliding window of a target characteristic parameter corresponding to the abnormal data is determined based on the abnormal data indicated in the function abnormality information and the target slide ruler.

[0030] The target scheduling scheme is generated based on the sliding window and a deep learning model.

[0031] Optionally, before the target scheduling scheme is determined based on the function abnormality information and a preconfigured slide ruler group, the method further includes:

[0032] At least two historical characteristic parameters are extracted based on historical operation data under normal working conditions of a power system.

[0033] A slide ruler based on a deep learning model is constructed with a numerical correlation relationship between historical characteristic parameter values as a knowledge graph.

[0034] Optionally, the target scheduling scheme is determined based on the function abnormal information and a pre-configured slide ruler group.

[0035] The target slide ruler corresponding to the abnormal function is determined based on the abnormal function indicated in the function abnormal information and the functions of the slide rulers in the pre-configured slide ruler group.

[0036] The slide window corresponding to the target feature parameter of the abnormal data is determined based on the abnormal data indicated in the function abnormal information and the target slide ruler.

[0037] The target scheduling scheme is selected from a plurality of scheduling schemes pre-configured in the target slide ruler based on the slide window.

[0038] Optionally, before the target scheduling scheme is determined based on the function abnormal information and the pre-configured slide ruler group, the method further comprises:

[0039] At least two historical feature parameters are extracted based on historical operation data under normal working conditions of the power system.

[0040] A plurality of scheduling schemes are set based on the numerical correlation relationship between the historical feature parameter values.

[0041] The slide ruler is constructed based on the numerical correlation relationship between the historical feature parameter values and the plurality of scheduling schemes.

[0042] Optionally, applied to a hydropower plant, the at least two historical feature parameters are extracted based on historical operation data under normal working conditions of the power system, comprising:

[0043] A first operation data set under the safety condition of water power operation of the hydropower plant is obtained; the first operation data set at least includes upstream water level, downstream water level, spiral case pressure and guide vane opening data;

[0044] The first feature parameter is extracted based on the first operation data set; the first feature parameter at least includes reservoir water level rising speed and spiral case static water pressure.

[0045] Optionally, applied to a hydropower plant, the at least two historical feature parameters are extracted based on historical operation data under normal working conditions of the power system, comprising:

[0046] A second operation data set under the safety condition of vibration of the hydropower plant is obtained; the second operation data set at least includes active power, engine speed and engine amplitude;

[0047] The second feature parameter is extracted based on the second operation data set; the second feature parameter at least includes active power and engine amplitude.

[0048] Optionally, applied to a hydropower plant, the method comprises the following steps:

[0049] Optionally, applied to a hydropower plant, the method comprises the following steps:

[0050] Optionally, applied to a hydropower plant, the method comprises the following steps:

[0051] Optionally, applied to a photovoltaic power plant, the method comprises the following steps:

[0052] Optionally, applied to a photovoltaic power plant, the method comprises the following steps:

[0053] Optionally, applied to a photovoltaic power plant, the method comprises the following steps:

[0054] Optionally, applied to a thermal power plant, the method comprises the following steps:

[0055] Optionally, applied to a thermal power plant, the method comprises the following steps:

[0056] Optionally, applied to a thermal power plant, the method comprises the following steps:

[0057] Optionally, the method comprises the following steps:

[0058] Optionally, the method comprises the following steps:

[0059] Optionally, the method comprises the following steps:

[0060] Optionally, the method comprises the following steps:

[0061] Based on a preset monitoring period, reliability operation test and frequency change rate test are performed by using the current operation data, and stability information of the power plant is obtained;

[0062] Based on the stability information and a slide ruler group including a stability slide ruler, a target scheduling scheme is determined.

[0063] In a second aspect, the embodiments of the present application provide a power generation scheduling device, and the device comprises:

[0064] An acquisition module is configured to acquire current operation data of a power system, wherein the current operation data comprises power grid side operation data and power plant side operation data;

[0065] A calculation module is configured to perform power plant side safety calculation and power grid side safety calculation based on the current operation data, and obtain function abnormality information.

[0066] A scheduling module is configured to determine a target scheduling scheme by using a preconfigured slide ruler group based on the function abnormality information, wherein the slide ruler indicates a numerical correlation between characteristic parameter values, and the characteristic parameters are obtained based on operation data extraction.

[0067] In a third aspect, the embodiments of the present application provide a power generation scheduling device, and the device comprises a memory and a processor.

[0068] The memory is configured to store program code and transmit the program code to the processor.

[0069] The processor is configured to execute steps of the power generation scheduling method according to any one of the embodiments of the first aspect.

[0070] In a fourth aspect, the embodiments of the present application provide a computer readable storage medium, and the computer readable storage medium stores a computer program, when the computer program runs on a power generation scheduling device, the power generation scheduling device executes steps of the power generation scheduling method according to any one of the embodiments of the first aspect.

[0071] Compared with the prior art, the present application has the following beneficial effects:

[0072] The embodiment of the application provides a power generation scheduling method, in which, firstly, current operation data of a power system is acquired; the current operation data comprises power grid side operation data and power plant side operation data; then, power plant side safety calculation and power grid side safety calculation are carried out based on the current operation data, to obtain function abnormality information; finally, based on the function abnormality information, a target scheduling scheme is determined through a pre-configured slide ruler group; the slide ruler indicates a numerical correlation relationship between characteristic parameter values; the characteristic parameters are obtained based on operation data extraction. Therefore, the numerical correlation relationship between the characteristic parameter values is pre-stored in the slide ruler group, when the function abnormality occurs, the target scheduling scheme can be quickly obtained through the slide ruler group without re-modeling, the time from abnormality detection to scheduling scheme generation is greatly shortened, in the scene requiring high frequency adjustment such as power grid voltage fluctuation or unit vibration overrun, the target scheduling scheme can be efficiently provided, so that the function abnormality is effectively handled based on the target scheduling scheme, and the safety of the power system is improved. BRIEF DESCRIPTION OF DRAWINGS

[0073] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only constitute some embodiments of the application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor.

[0074] Figure 1 A flowchart of a power generation scheduling method provided by the embodiment of the application;

[0075] Figure 2 A water power operation safety slide ruler schematic diagram provided by the embodiment of the application;

[0076] Figure 3 A flowchart of a power generation scheduling method of a hydropower plant provided by the embodiment of the application;

[0077] Figure 4 A vibration safety slide ruler schematic diagram provided by the embodiment of the application;

[0078] Figure 5 A load shedding safety slide ruler schematic diagram provided by the embodiment of the application;

[0079] Figure 6 A reactive power slide ruler schematic diagram provided by the embodiment of the application;

[0080] Figure 7 An active power-reactive power characteristic curve schematic diagram of a photovoltaic inverter provided by the embodiment of the application;

[0081] Figure 8 A price slide ruler schematic diagram provided by the embodiment of the application;

[0082] Figure 9 Another power generation scheduling method flow chart provided for the embodiments of the present application;

[0083] Figure 10 Another power generation scheduling method flow chart provided for the embodiments of the present application;

[0084] Figure 11 A power generation scheduling device schematic diagram provided for the embodiments of the present application;

[0085] Figure 12 A power generation scheduling device structure diagram provided for the embodiments of the present application. DETAILED DESCRIPTION

[0086] The power generation scheduling method and related device provided by the present application can be used in the field of energy scheduling, and the above is only an example, and does not limit the application field of the power generation scheduling method and related device provided by the present application.

[0087] The terms "first", "second", "third", and "fourth" in the specification and claims of the present application and the description of the drawings are used to distinguish different objects, and are not used to limit a specific order.

[0088] In the embodiments of the present application, the words "as an example" or "for example" are used to represent an example, illustration or description. Any embodiment or design scheme described as "as an example" or "for example" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words "as an example" or "for example" are used to present the relevant concept in a specific manner.

[0089] The terms used in the embodiment part of the present application are only used to explain the specific embodiments of the present application, and are not intended to limit the present application.

[0090] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0091] Referring to Figure 1 The figure is a power generation scheduling method flow chart provided for the embodiments of the present application, and the method comprises:

[0092] S101: acquiring current operation data of the power system.

[0093] Specifically, the current operating data includes grid-side operating data and power plant-side operating data.

[0094] For example, grid-side operation data may include, but is not limited to, the voltage of each grid node, the overall inertia of the grid, frequency, real-time load distribution, power shortage, and buying and selling quotes and transaction prices in the electricity market.

[0095] The operating data on the power plant side may depend on the type of power plant. For example, for a hydropower plant, the operating data on the power plant side may include but is not limited to water level data, volute pressure, guide vane opening data, engine speed and amplitude, volute inlet pressure, relay stroke and speed change data; for a photovoltaic power plant, the operating data on the power plant side may include but is not limited to the active power, reactive power and illuminance of the generator set; for a wind power plant, the operating data on the power plant side may include but is not limited to wind speed, wind direction, active power, reactive power, blade angle, rotor speed, unit structural vibration and environmental conditions; for a thermal power plant, the operating data on the power plant side may include but is not limited to carbon emissions, heat consumption, coal consumption, cost per kilowatt-hour and plant power consumption rate.

[0096] S102: Perform power plant-side safety calculations and grid-side safety calculations based on current operating data to obtain functional abnormality information.

[0097] The grid-side security calculation includes at least voltage security calculation, frequency security calculation and system inertia security calculation.

[0098] The voltage safety calculation is used to determine whether the voltage at each node in the power grid is within the permitted range, thereby preventing problems such as equipment damage or load instability caused by voltage anomalies. For example, the voltage safety calculation result can be obtained based on the magnitude relationship between the real-time voltage and a preset voltage range and / or the real-time voltage variation trend. For example, a comparison can be used to determine whether the real-time voltage is within the preset voltage range. The real-time voltage variation trend can also be calculated by combining the numerical correlation between reactive power and voltage. If the voltage deviates from the preset voltage range or the reactive power regulation capacity is insufficient, the voltage safety calculation result will indicate insufficient safety.

[0099] Similarly, frequency is a core indicator reflecting the active power balance of the power grid. In the case of active power surplus, the frequency will rise, and in the case of active power deficiency, the frequency will decrease. Frequency safety calculation can be used to determine whether the frequency is within the stable range to avoid situations such as unit disconnection or equipment overload caused by abnormal frequency. As an example, the frequency safety calculation result can be obtained by the size relationship between the real-time frequency and the preset frequency range and / or the frequency change rate. For example, it can be determined by comparison whether the real-time frequency is within the preset frequency range, and the frequency stability can also be determined by calculating the frequency change rate. If the real-time frequency exceeds the preset frequency range or the frequency change rate is too fast, the frequency safety calculation result will indicate that the frequency safety is insufficient.

[0100] System inertia is the "buffering capability" of the power grid to resist frequency mutation. The larger the system inertia, the slower the frequency change rate. The system inertia is mainly provided by the rotational mass of synchronous units. System inertia safety calculation can be used to determine the frequency stability of the power grid when the active power is mutated. As an example, the equivalent system inertia can be obtained by calculating the ratio of the total rotational inertia of synchronous units to the system capacity, and the system inertia safety calculation result can be obtained in combination with the relationship between power deficiency and system inertia. For example, in combination with the relationship between power deficiency ΔP and system inertia H: RoCoF = ΔP / (2H×S base ), the system inertia safety is judged by calculating whether RoCoF exceeds the preset safety threshold. Wherein, RoCoF (Rate of Change of Frequency) is the frequency change rate; S base (System Base Capacity) is the system base capacity.

[0101] Similarly to the grid-side safety calculation, different types of power plants can be subjected to different power plant-side safety calculations. For example, for hydropower plants, hydraulic operation safety calculation, vibration safety calculation, and load shedding safety calculation can be performed; for photovoltaic power plants, photovoltaic component safety calculation, electrical system safety calculation, active power safety calculation, and reactive power safety calculation can be performed; for wind power plants, unit structure vibration safety calculation and unit operation safety calculation can be performed; for thermal power plants, carbon emission safety calculation can be performed, etc.

[0102] If the result of any one of the power plant side safety calculation and the power grid side safety calculation indicates insufficient safety, function abnormality information including abnormal function and abnormal data can be generated. For example, after the power grid side safety calculation, the system inertia safety calculation result indicates insufficient safety, and function abnormality information including the abnormal function of "insufficient system inertia" can be generated. In addition, the function abnormality information can also include at least operating data (abnormal data) such as frequency and power shortage related to the abnormal function, so as to facilitate subsequent determination of the target scheduling scheme by the slide ruler group.

[0103] S103: Based on the function abnormality information, the target scheduling scheme is determined by the pre-configured slide ruler group.

[0104] Wherein, the slide ruler indicates the numerical correlation between the values of the characteristic parameters; the characteristic parameters are extracted based on the operating data.

[0105] As an example, at least two historical characteristic parameters can be extracted based on the historical operating data under normal operating conditions of the power system. Then, the numerical correlation between the values of the historical characteristic parameters is used as a knowledge graph to construct a slide ruler based on a deep learning model. For example, two associated historical characteristic parameters such as the reservoir water level rising speed and the spiral case net water pressure can be extracted from the massive historical operating data under normal operating conditions of the power system. Then, the numerical correlation between the reservoir water level rising speed and the spiral case net water pressure is used as a knowledge graph of a deep learning model to construct a hydraulic operation safety slide ruler based on the deep learning model, as shown in the following figure. Figure 2

[0106] Through the hydraulic operation safety slide ruler, the reservoir water level rising speed can be coarsely adjusted and the spiral case net water pressure can be finely adjusted by combining the deep learning model, so as to obtain the selectable value window of the reservoir water level rising speed and the selectable value window of the spiral case net water pressure that can guarantee the hydraulic operation safety, and generate a target scheduling scheme that meets the selectable value window of the reservoir water level rising speed and the selectable value window of the spiral case net water pressure.

[0107] Specifically, after obtaining the function abnormality information, the target slide ruler corresponding to the abnormal function can be determined based on the abnormal function indicated in the function abnormality information and the functions of the slide rulers in the pre-configured slide ruler group. The sliding window of the target characteristic parameter corresponding to the abnormal data can be determined by the target slide ruler based on the abnormal data indicated in the function abnormality information. The target scheduling scheme is generated by the deep learning model based on the sliding window.

[0108] ​The one slide ruler group can include multiple slide rulers, for example, but not limited to, a water power operation safety slide ruler, a vibration safety slide ruler, and a load shedding safety slide ruler, each of which is configured with a corresponding function, such as the water power operation safety slide ruler corresponding to the function of water power operation safety. Based on the abnormal function indicated in the function abnormality information and the functions of each slide ruler in the pre-configured slide ruler group, the target slide ruler corresponding to the abnormal function can be determined from the slide ruler group, for example, the abnormal function is load shedding abnormality, and the target slide ruler related to load shedding safety can be determined from the slide ruler group based on the functions of each slide ruler, such as the water power operation safety slide ruler and the load shedding safety slide ruler related to load shedding safety, wherein the water power operation safety slide ruler can focus on the system safety during load shedding, and give the optional value window of the safe reservoir water level rising speed and the net spiral case water pressure; the load shedding safety slide ruler can focus on the electrical system and the related mechanical quantity, and give the optional value window of the active power and the engine speed after load shedding. Based on the deep learning model, the target scheduling scheme can be quickly generated through the cooperative determination of each optional value window by the two slide rulers.

[0109] As another example, at least two historical characteristic parameters can be extracted based on historical operation data under normal operating conditions of the power system in advance; then, based on the numerical correlation between the historical characteristic parameter values, multiple scheduling schemes are set; and then, based on the numerical correlation between the historical characteristic parameter values and the multiple scheduling schemes, a slide ruler is constructed. For example, two associated historical characteristic parameters such as reservoir water level rising speed and net spiral case water pressure can be extracted from massive historical operation data under normal operating conditions of the power system, and there is a numerical correlation between the historical characteristic parameters, such as the reservoir water level rising speed being 1 m / h and the net spiral case water pressure being 1.44 Mpa. Based on one or more sets of correlation, multiple scheduling schemes can be set in advance, and then, combined with the numerical correlation between the reservoir water level rising speed and the net spiral case water pressure and the corresponding scheduling scheme, a water power operation safety slide ruler can be constructed.

[0110] Through the water power operation safety slide ruler, the reservoir water level rising speed can be coarsely adjusted and the net spiral case water pressure can be finely adjusted, so as to obtain the optional value window of the reservoir water level rising speed and the optional value window of the net spiral case water pressure that can ensure the water power operation safety, and select a target scheduling scheme from the pre-set multiple scheduling schemes that meets the optional value window of the reservoir water level rising speed and the optional value window of the net spiral case water pressure.

[0111] Specifically, after obtaining the function abnormality information, the target slide ruler corresponding to the abnormal function can be determined based on the abnormal function indicated in the function abnormality information and the functions of each slide ruler in the preconfigured slide ruler group; then, the sliding window corresponding to the target feature parameter of the abnormal data corresponding to the target slide ruler can be determined based on the abnormal data indicated in the function abnormality information; and finally, the target scheduling scheme can be selected from the multiple scheduling schemes preconfigured in the target slide ruler based on the sliding window.

[0112] In the embodiments of the present application, firstly, current operation data of the power system is obtained; the current operation data includes power grid side operation data and power plant side operation data; then, power plant side safety calculation and power grid side safety calculation are performed based on the current operation data to obtain function abnormality information; finally, a target scheduling scheme is determined based on the function abnormality information through a preconfigured slide ruler group; the slide ruler indicates the numerical correlation between feature parameter values; and the feature parameters are extracted based on the operation data. Therefore, by pre-storing the numerical correlation between the feature parameter values through the slide ruler group, when a function abnormality occurs, the target scheduling scheme can be quickly obtained through the slide ruler group without the need for re-modeling, greatly shortening the time from abnormality detection to scheduling scheme generation, and the target scheduling scheme can be efficiently provided in scenarios requiring high-frequency adjustment such as power grid voltage fluctuation or unit vibration out-of-limit, so as to effectively handle the function abnormality based on the target scheduling scheme and improve the safety of the power system.

[0113] In addition, the parameter value correlation, safety judgment, scheme generation and other processes are digitized through the slide ruler in the embodiments of the present application, forming a reusable scheduling logic, laying a foundation for optimizing the scheduling strategy, and promoting the transformation of power generation scheduling from experience-driven to data-driven.

[0114] Referring to Figure 3 The figure is a flow chart of a hydropower plant power generation scheduling method provided by the embodiments of the present application, and the method comprises:

[0115] S301: based on the historical operation data under the normal working condition of the power system, at least two historical feature parameters are extracted.

[0116] The historical operation data under the normal working condition of the power system can be divided into multiple operation data sets according to the related functions, for example, can be divided into a first operation data set, a second operation data set and a third operation data set.

[0117] The first operation data set at least includes upstream water level, downstream water level, spiral case pressure and guide vane opening data; after obtaining the first operation data set under the hydropower plant hydraulic operation safety condition, the first feature parameter can be extracted based on the first operation data set. The first feature parameter at least includes reservoir water level rising speed and spiral case static water pressure.

[0118] The second operating data set includes at least active power, engine speed, and engine amplitude. After obtaining the second operating data set under the vibration safety condition of the hydropower plant, a second characteristic parameter can be extracted based on the second operating data set. The second characteristic parameter includes at least active power and engine amplitude.

[0119] The third operating data set includes at least volute inlet pressure, servomotor travel, and engine speed change data. After obtaining the third operating data set under the hydropower plant load shedding safety condition, a third characteristic parameter can be extracted based on the third operating data set. The third characteristic parameter includes at least load shedding active power and engine speed.

[0120] S302: Constructing a sliding scale based on the numerical correlation relationship between historical characteristic parameter values.

[0121] As an example, based on the extracted first feature parameter, a Figure 2 Based on the extracted second characteristic parameter, the hydraulic operation safety slider is constructed as shown in FIG. Figure 4 Based on the extracted third characteristic parameter, the vibration safety slider is constructed as shown in FIG. Figure 5 Load rejection safety slide shown.

[0122] As an example, a slider may include a data set, characteristic parameters, a function set, and a scheduling solution. Based on the abnormal function in the function abnormality information, a target slider corresponding to the abnormal function may be determined from a pre-configured slider group, and a target scheduling solution may be determined using the target slider. The function set of the target slider may include functions that are identical to or related to the abnormal function.

[0123] Taking the vibration safety slider as an example, the vibration conditions of the unit under different active powers can be obtained through variable power vibration testing, as shown in Tables 1 and 2 below:

[0124]

[0125]

[0126] The allowable values ​​of engine amplitude vary at different engine speeds. Based on the engine speed and allowable values ​​of engine amplitude, as well as the data in Tables 1 and 2, the engine amplitude corresponding to the active power at different engine speeds can be obtained, thereby constructing a vibration safety sliding scale for active power and engine amplitude.

[0127] In the case of large vibration in various parts of the hydroelectric generator, the active power of the generator can be quickly adjusted through the vibration safety ruler, and then, after determining the actual speed of the hydroelectric generator, the actual vibration values of different parts of the hydroelectric generator measured at the speed are compared with the corresponding vibration allowable values of the parts, the generator amplitude is finely adjusted, and thus the target scheduling scheme is obtained.

[0128] S303: Obtain current operation data of the power system.

[0129] The current operation data includes power grid side operation data and power plant side operation data.

[0130] S304: Perform power plant side safety calculation and power grid side safety calculation based on the current operation data to obtain functional abnormality information.

[0131] As an example, the power plant side safety calculation can at least include hydraulic operation safety calculation, vibration safety calculation and load shedding safety calculation, and the power grid side safety calculation can at least include voltage safety calculation, frequency safety calculation and system inertia safety calculation.

[0132] 1. Hydraulic operation safety calculation

[0133] For each hydropower station, the real-time reservoir water level rising speed and the spiral case static water pressure can be obtained from the current operation data of the hydropower station, and the real-time reservoir water level rising speed and the spiral case static water pressure are compared with the preset reference value to perform hydraulic operation safety calculation.

[0134] Exemplarily, see Table 3 below:

[0135]

[0136] The values of unit output (MW), upstream water level (m), downstream water level (m), spiral case pressure (Mpa) and guide vane opening of different units detected at 09:04 on August 18, 2018, 15:00 and 18:25 in the evening, and 09:25 on August 19, 2018, 13:50 are given in Table 3.

[0137] Based on the data provided in Table 3, real-time reservoir water level rising speed and spiral case static water pressure can be obtained. If the real-time reservoir water level rising speed is greater than or equal to the reference value of the reservoir water level rising speed, or the real-time spiral case net water pressure is greater than or equal to the reference value of the spiral case net water pressure, the calculation result of the hydraulic operation safety calculation will indicate insufficient safety. The reference value of the reservoir water level rising speed is the maximum rising speed of the reservoir water level within a certain time allowed during the safe operation of the hydropower station, and the reference value of the spiral case net water pressure is the maximum actual net water pressure at the inlet of the turbine spiral case allowed during the safe operation of the hydropower station.

[0138] 2. Vibration safety calculation

[0139] It can be understood that the equipment in the hydropower plant, such as the water turbine generator, will generate vibration during operation. The amplitude and frequency of these vibrations are important indicators for assessing the operating condition of the equipment. Excessive vibration can mean that the equipment has wear, looseness, imbalance, or other potential problems. In the embodiments of the present application, the rotation speed and amplitude of the water turbine generator can be used to determine whether the hydropower station is in a vibration safety state.

[0140] Specifically, for each hydropower station, the rotation speed of the water turbine generator of the hydropower station and the vibration actual value (i.e., the generator amplitude) of different parts of the water turbine generator can be obtained from the water resource data of the hydropower station. After determining the actual rotation speed of the water turbine generator, the vibration actual value of different parts of the water turbine generator measured at the rotation speed is compared with the vibration allowable value corresponding to the part, with reference to the vibration allowable values of different parts of the water turbine generator shown in Table 4.

[0141]

[0142] If the vibration actual value of a part of the water turbine generator is greater than or equal to the vibration allowable value corresponding to the part, the calculation result of the vibration safety calculation will indicate insufficient safety. The vibration allowable value is the maximum vibration value of a part of the generator allowed during the safe operation of the hydropower station.

[0143] For example, when the rotation speed is less than 100 r / min, the vibration allowable value of the vertical vibration of the thrust bearing support of the vertical unit of the water turbine generator is 0.1 mm. When the actual vibration value of the vertical vibration of the thrust bearing support is greater than 0.1 mm, the calculation result of the vibration safety calculation will indicate insufficient safety.

[0144] 3. Load rejection safety calculation

[0145] Specifically, during the operation of the hydroelectric generating set, part or all of the load can be suddenly cut off, the dynamic response of the unit and related system is monitored, the pressure change of the water power components such as the diversion tunnel, the spiral case and the pressure steel pipe when the load is suddenly reduced is tested, and through the tests of different load levels (25%, 50%, 75%, 100%), the “load shedding amount-speed-pressure” correlation model is established. During the transition process when the hydroelectric generating set needs to quickly shed part or all of the load, the safety threshold of indicators such as the spiral case pressure rise rate, the water hammer pressure of the water diversion system, the unit speed rise rate, the servomotor closing time, the generator voltage fluctuation amplitude and the frequency recovery time can be referred to through the “load shedding amount-speed-pressure” correlation model to evaluate the load shedding safety.

[0146] Similar to the process of hydraulic operation safety calculation, vibration safety calculation and load shedding safety calculation, the power grid side safety calculation such as voltage safety calculation, frequency safety calculation and system inertia safety calculation can be performed through methods such as threshold comparison or model evaluation.

[0147] In addition, during the construction stage of the power plant or the normal operation of the power plant, the operation data of the power plant can be collected to form historical reference data for reference. By comparing the difference between the current operation data and the historical reference data, it can be determined whether the current operation state of the power plant is safe, for example, if the difference between the current operation data and the historical reference data is greater than 5%, it can be considered that the current operation state of the power plant is unsafe.

[0148] In summary, if any of the power plant side safety calculation and the power grid side safety calculation indicates insufficient safety, or the difference between the current operation data and the historical reference data is greater than a preset threshold, it can be considered that the current operation state of the power plant is unsafe.

[0149] In the case that the current operation state of the power plant is unsafe, function anomaly information including abnormal functions and abnormal data can be generated.

[0150] The abnormal functions can include the power plant side safety calculation results such as insufficient hydraulic operation safety, and / or the power grid side safety calculation results such as insufficient voltage safety, and / or the operation data categories with too large difference from the historical reference data such as voltage anomaly; the abnormal data can include the operation data related to the abnormal functions such as insufficient hydraulic operation safety, for example, including the upstream water level, the downstream water level, the unit output, the spiral case pressure, the guide vane opening, the spiral case inlet pressure, the servomotor stroke and the speed change, and can also include the complete operation data in the abnormal period.

[0151] S305: Based on the function anomaly information, a target scheduling scheme is determined through a pre-configured slide ruler group.

[0152] The slide ruler indicates a numerical correlation between the characteristic parameter values.

[0153] As an example provided by the embodiment of the application, the abnormal function in the function abnormality information is insufficient load rejection safety, based on which, the target slide ruler can be determined as a hydraulic operation safety slide ruler and a load rejection safety slide ruler, wherein the hydraulic operation safety slide ruler is used to ensure the safety of the entire system during the load rejection process, and focuses on mechanical characteristics and hydrological information; the load rejection safety slide ruler is used to ensure the safety of the system operation state after the load rejection, and focuses on electrical characteristics and related mechanical quantities. Therefore, multiple slide rulers can be combined by the function set series, and the target scheduling scheme that can guarantee the safety of the unit itself and provide support for the stability of the power grid can be obtained by combining multiple slide rulers for scheduling, converting the traditional experience-based judgment into data-based adjustment, and quickly outputting the safety strategy through the numerical correlation reflected by the slide ruler.

[0154] As another example provided by the embodiment of the application, the abnormal function in the function abnormality information is insufficient vibration safety, based on which, the target slide ruler can be determined as a vibration safety slide ruler. Taking the example that the power system considers the active power of the hydropower more important at this time, the system external load and the unit state can be connected together by the vibration safety slide ruler, the active power is mainly adjusted, and the engine amplitude is finely adjusted, so that the target scheduling scheme that can minimize the influence of unit vibration can be quickly obtained.

[0155] The embodiment of the application further provides a photovoltaic power plant power generation scheduling method, which comprises the following steps:

[0156] S601: extracting at least two historical characteristic parameters based on historical operation data under normal working conditions of the power system.

[0157] The historical operation data under normal working conditions of the power system can be divided into multiple operation data sets according to related functions, for example, a fourth operation data set including at least reactive power and voltage can be obtained, and then a fourth characteristic parameter including at least reactive power and voltage is extracted based on the fourth operation data set.

[0158] S602: constructing a slide ruler based on the numerical correlation between the historical characteristic parameter values.

[0159] As an example, a reactive power slide ruler as shown in FIG. 4 can be constructed based on the extracted fourth characteristic parameter. Figure 6

[0160] ​As an example, the slide ruler can include a data set, a feature parameter, a function set, and a scheduling scheme, based on an abnormal function in the function abnormality information, a target slide ruler corresponding to the abnormal function can be determined from a pre-configured slide ruler group, to determine a target scheduling scheme through the target slide ruler. Wherein, the function set of the target slide ruler includes the same or related functions as the abnormal function.

[0161] Optionally, the system inertia feature parameter and the frequency feature parameter can also be extracted from the historical operation data to construct a frequency slide ruler about system inertia and frequency; the active power feature parameter and the frequency feature parameter can also be extracted from the historical operation data to construct an active slide ruler about active power and frequency.

[0162] S603: Obtain current operation data of the power system.

[0163] Wherein, the current operation data includes grid-side operation data and power plant-side operation data.

[0164] S604: Perform power plant-side safety calculation and grid-side safety calculation based on the current operation data, to obtain function abnormality information.

[0165] Exemplarily, the power plant-side safety calculation at least includes photovoltaic component safety calculation, electrical system safety calculation, active power safety calculation, and reactive power safety calculation, and the grid-side safety calculation at least includes voltage safety calculation, frequency safety calculation, and system inertia safety calculation.

[0166] As an example, the safety information of the photovoltaic component can be obtained by calculating whether the working environmental temperature, the running time length, and / or the power generation attenuation rate of the photovoltaic component are within the specified range, to evaluate the long-term performance of the photovoltaic component and the inverter, the influence of weather conditions on the photovoltaic panel and the support structure, and / or the influence of the hot spot effect on the photovoltaic component; the electrical system safety calculation result can be obtained by calculating whether the short-circuit current, the ratio of the actual input current to the rated current, the cable carrying capacity, the insulation resistance, and / or the harmonic distortion rate of the electrical system are within the specified range; the active power safety calculation result can be obtained by calculating whether the real-time active power is within the safety range; the reactive power safety calculation result can be obtained by calculating whether the reactive power regulation capability is within the design range, etc.

[0167] In addition, the operation data of the power plant can also be collected during the construction stage of the power plant or the normal operation of the power plant to form historical reference data for reference. By comparing the difference between the current operation data and the historical reference data, it can be judged whether the current operation state of the power plant is safe, for example, if the difference between the current operation data and the historical reference data is greater than 5%, it can be considered that the current operation state of the power plant is not safe.

[0168] In summary, if the result of any one of the power plant side safety calculation and the power grid side safety calculation indicates insufficient safety, or the difference between the current operation data and the historical reference data is greater than the preset threshold, it can be considered that the current operation state of the power plant is unsafe.

[0169] In the case that the current operation state of the power plant is unsafe, function abnormality information including abnormal function and abnormal data can be generated.

[0170] S605: Based on the function abnormality information, a target scheduling scheme is determined through a pre-configured slide ruler group.

[0171] Referring to Figure 7 The figure is an active power-reactive power characteristic curve diagram of a photovoltaic inverter provided by an embodiment of the present application, wherein the vertical axis P is active power, the horizontal axis Q is reactive power, point B is the inflection point of the P-Q characteristic curve, and the curve reflects the correlation of active output-reactive adjustment under different voltages.

[0172] When the grid voltage starts to drop from the standard value (1.0 PU), such as to 0.95 PU, the inverter will maintain the voltage by increasing the capacitive reactive power (Q increases), at this time, the active power (P) has a decrease but is still within the controllable range (from point A to point B); when the voltage drops to the threshold value corresponding to the inflection point B, the reactive power adjustment of the inverter reaches the physical limit, and it will not be able to continue to support the voltage by increasing the reactive power, that is, if the voltage continues to drop, such as to point C of 0.9 PU, beyond the inflection point B, the reactive power adjustment capability of the inverter is exhausted, and increasing the reactive power will cause the active power of the grid to collapse and the frequency to drop sharply, and the voltage cannot be maintained by increasing the reactive power at this time. At this time, the high system inertia power supply point can be accessed to supplement the system inertia and active power, and maintain the stability of the grid.

[0173] Taking the insufficient active power safety in the function abnormality information as an example, the traditional scheduling scheme needs to determine the reactive power to be increased by performing a series of complex calculations when the active power starts to drop from point A. However, the calculation process is time-consuming, and by the time the reactive power to be increased is obtained, the active power may have decreased below point B, and the voltage cannot be maintained by increasing the reactive power, and increasing the reactive power according to the calculation result will cause the active power of the grid to collapse. In the embodiment of the present application, the target scheduling scheme capable of stabilizing the grid can be quickly obtained by using the reactive slide ruler and the active slide ruler, and the stability of the grid is maintained.

[0174] The embodiment of the present application also provides a thermal power plant power generation scheduling method, which comprises the following steps:

[0175] S801: Based on the historical operation data under the normal working condition of the power system, at least two historical characteristic parameters are extracted.

[0176] The historical operation data under normal working conditions of the power system can be divided into multiple operation data sets according to relevant functions, for example, a fifth operation data set including at least coal consumption, heat consumption and unit power cost can be obtained, and at least fifth feature parameters including coal consumption and unit power cost are extracted based on the fifth operation data set.

[0177] S802: Constructing a sliding scale based on the numerical correlation between the historical feature parameter values.

[0178] As an example, a power price sliding scale as shown in FIG. 8B can be constructed based on the extracted fifth feature parameters. Figure 8

[0179] S803: Obtaining current operation data of the power system.

[0180] The current operation data includes grid-side operation data and power plant-side operation data.

[0181] S804: Performing power plant-side safety calculation and grid-side safety calculation based on the current operation data to obtain function abnormality information.

[0182] As an example, the power plant-side safety calculation includes at least carbon emission safety calculation, and the grid-side safety calculation includes at least voltage safety calculation, frequency safety calculation and system inertia safety calculation.

[0183] As an example, the carbon emission safety calculation can be obtained by calculating whether the carbon emission caused by coal consumption is within a specified range, the active power safety calculation result can be obtained by calculating whether the real-time active power is within a safe range, the reactive power safety calculation result can be obtained by calculating whether the reactive power regulation capability is within a design range, and the like.

[0184] In addition, the operation data of the power plant can also be collected during the construction stage of the power plant or during the normal operation of the power plant to form historical reference data for reference. By comparing the difference between the current operation data and the historical reference data, it can be determined whether the current operation state of the power plant is safe, for example, if the difference between the current operation data and the historical reference data is greater than 5%, it can be considered that the current operation state of the power plant is not safe.

[0185] In summary, if any of the power plant-side safety calculation and the grid-side safety calculation indicates insufficient safety, or the difference between the current operation data and the historical reference data is greater than a preset threshold, it can be considered that the current operation state of the power plant is not safe.

[0186] In the case that the current operation state of the power plant is not safe, function abnormality information including abnormal functions and abnormal data can be generated.

[0187] ​S805: Determine the target scheduling scheme based on the function abnormality information and the pre-configured sliding scale group.

[0188] Taking the insufficient carbon emission safety as an example, the abnormal function in the function abnormality information, as shown in the figure, can select the electricity price sliding scale as the target sliding scale, and first coarsely adjust the coal consumption to adjust the number of on-grid thermal power plants to make the carbon emission within the allowable range; and then finely adjust the electricity price to adjust the on-grid power to maximize the economic benefits of the thermal power plant, so as to obtain a target scheduling scheme that can guarantee the carbon emission safety and has higher economic benefits. Figure 8

[0189] For example, according to the carbon emission standard, it is obtained that the thermal power plant with coal consumption in the range of 270~300g / kWh is allowed to generate electricity, and the thermal power plant with coal consumption in the range of 290~330g / kWh is not allowed to generate electricity, so as to adjust the number of on-grid thermal power plants to make the carbon emission within the allowable range; and then further adjust the electricity price, in the case that the cost electricity price is high and the on-grid electricity price is low, select less or even no electricity generation to reduce the on-grid power, and in the case that the cost electricity price is low and the on-grid electricity price is high, select more electricity generation to increase the on-grid power, so as to obtain a target scheduling scheme that can guarantee the carbon emission safety and has higher economic benefits.

[0190] Similarly, for the wind power plant, the historical characteristic parameters can also be extracted from the historical operation data of the wind power plant, and the corresponding sliding scale can be constructed based on the numerical correlation between the historical characteristic parameter values. For the wind power plant, the power plant side safety calculation at least includes unit structure vibration safety calculation and unit operation safety calculation, and the grid side safety calculation at least includes voltage safety calculation, frequency safety calculation and system inertia safety calculation. If any one of the power plant side safety calculation and the grid side safety calculation indicates insufficient safety, or the difference between the current operation data and the historical reference data is greater than the preset threshold, it can be considered that the current operation state of the power plant is unsafe. In the case that the current operation state of the power plant is unsafe, the function abnormality information including the abnormal function and the abnormal data can be generated.

[0191] Referring to Figure 9 , the figure is another power generation scheduling method flowchart provided by the embodiment of the application, and the method comprises:

[0192] S901: Obtain the current operation data of the power system.

[0193] The current operation data includes grid side operation data and power plant side operation data.

[0194] ​For example, the grid-side operation data includes: system frequency 50.1 Hz (normal threshold 49.5-50.5 Hz), rate of change of frequency (RoCoF) 0.2 Hz / s (pre-warning threshold 0.5 Hz / s), point of common coupling voltage 10.3 kV (rated 10 kV), system inertia 6 s (safety threshold ≥ 5 s), active power deficiency 20 MW (caused by photovoltaic sudden drop); the power plant-side operation data includes: photovoltaic power plant: current active power 30 MW (rated 50 MW / plant), inverter reactive power 5 MVar (rated maximum 10 MVar), component temperature 45°C (safety ≤ 65°C), wind power plant: current active power 20 MW (rated 50 MW), wind speed 8 m / s (stable), hydropower plant: upstream water level 255 m (safety interval 250-260 m), downstream unit active power 40 MW (rated 60 MW), upper guide amplitude 0.07 mm (safety threshold 0.1 mm).

[0195] S902: Perform power plant-side safety calculation and grid-side safety calculation based on the current operation data to obtain function abnormality information.

[0196] As an example, the power plant-side safety calculation is performed, the photovoltaic power plant active sudden drop 20 MW (1-minute fluctuation 40%, exceeding the safety fluctuation threshold 10%), and it is determined that “active power fluctuation is abnormal”; the inverter reactive power 5 MVar (not reaching the upper limit 10 MVar) is normal; the operation parameters of the hydropower plant and the wind power plant are within the safety range, and there is no abnormality.

[0197] The grid-side safety calculation is performed, the current frequency is 50.1 Hz, which is within the normal range, but the RoCoF is 0.2 Hz / s, if the deficiency continues, the frequency may drop to 49.9 Hz after 10 seconds, and it is determined that “frequency stability warning (potential abnormality)”; the current system inertia 6 s is close to the threshold 5 s, if the photovoltaic continues to reduce the power, the inertia may drop below the safety value, and it is determined that “system inertia support is insufficient”.

[0198] Based on the above safety calculation results, function abnormality information including “photovoltaic active fluctuation is too large, grid active power deficiency 20 MW, frequency stability and inertia support have potential risks” and the like can be generated.

[0199] S903: Determine a first dispatching scheme based on the function abnormality information through a first slide ruler group pre-configured.

[0200] Among them, the slide ruler indicates the numerical relationship between the characteristic parameter values; the characteristic parameters are extracted based on the operation data. The first slide ruler group is used to cooperatively dispatch the power generation priority, power generation capacity, system inertia, frequency and voltage of different power plants.

[0201] Specifically, the abnormal functions indicated in the abnormal function information can include multiple abnormalities on the power plant side and the grid side, or an abnormality involves the adjustment of both the power plant side and the grid side. In this case, the first slide group can be used to perform coarse adjustment from the grid side, and the generation priorities, power generation, system inertia, frequency and voltage of different power plants can be cooperatively scheduled.

[0202] As an example, the first slide group can include a first slide about the active power of hydropower and the system inertia, a second slide about the generation priority, and a third slide about the active power and the frequency.

[0203] As an example, through the second slide about the generation priority, the generation priorities of different types of power plants can be obtained by comprehensively considering various aspects such as the power generation benefits of thermal power plants, the water levels of each level of hydropower stations of hydropower plants, etc. For example, within the range of the specified carbon emission, the generation priority of the thermal power plant can be increased in the case of low cost electricity price and high grid electricity price; in the case of large demand for downstream irrigation, the irrigation demand is preferentially met, and the generation priority of the hydropower plant is reduced, etc.

[0204] Through the first slide group, a first scheduling scheme mainly used to maintain the safety of the grid side can be determined, for example, the first scheduling scheme is determined as: the active power of the downstream hydropower station is increased from 40 MW to 60 MW (full power) within 10 minutes to supplement 20 MW of active power; the wind power plant maintains the current active power of 20 MW; the photovoltaic power plant limits the active power fluctuation (fluctuation ≤5% within 1 minute) and increases the reactive power to 8 MVar to support the voltage.

[0205] S904: Perform power plant side safety calculation and grid side safety calculation based on the scheduling result of the first scheduling scheme, and determine secondary abnormal information.

[0206] Specifically, the scheduling result of the first scheduling scheme can be simulated to obtain a scheduling result, for example, the scheduling result is that the active power shortage is eliminated, the RoCoF is reduced to 0.05 Hz / s, the inertia is increased to 6.6 s, after the downstream hydropower station is fully powered, the outflow is increased from 10 m³ / s to 20 m³ / s, and the current water level is 260 m; then, based on the scheduling result, the power plant side safety calculation and the grid side safety calculation are performed again to obtain the secondary abnormal information, for example, the outflow of 20 m³ / s exceeds the downstream river channel carrying threshold (18 m³ / s), and the secondary abnormal information including the abnormal function of "downstream river channel flow risk" is generated.

[0207] S905: Based on the secondary abnormal information, cooperatively schedule the operation data of different power plants through the pre-configured second slide group to determine a second scheduling scheme.

[0208] The second slide group is used to cooperatively schedule the operation data of multiple power plants.

[0209] As an example, the second group of sliding scales can include a fourth sliding scale about the outflow of the water and electricity and the downstream water level, and a fifth sliding scale about the active power distribution of each power plant.

[0210] Through the second group of sliding scales, a second scheduling scheme mainly for maintaining the safety of the power plant side can be determined, for example, the second scheduling scheme is determined as: the active power of the downstream hydropower station is reduced from 60MW to 55MW to reduce the outflow to 18m³ / s, to meet the threshold limit of the downstream river channel carrying capacity.

[0211] S906: Based on the first scheduling scheme and the preset first weight, and the second scheduling scheme and the preset second weight, a target scheduling scheme is generated.

[0212] Among them, the first weight is the weight of maintaining the stability of the power grid in the target scheduling scheme, and the second weight is the weight of maintaining the stability of the power plant in the target scheduling scheme. The first weight and the second weight can be flexibly set according to actual needs, for example, the first weight can be set to 0.6, and the second weight can be set to 0.4.

[0213] For the part that conflicts in the first scheduling scheme and the second scheduling scheme, the adjustment range can be allocated based on the first weight and the second weight to generate the final target scheduling scheme.

[0214] For example, the first scheduling scheme requires the active power of the downstream hydropower station to increase by 20MW, and the second scheduling scheme requires the active power of the downstream hydropower station to increase by 15MW, and there is a difference of 5MW between them. At this time, based on the first weight and the second weight, the first scheduling scheme can bear 5MWx0.6=3MW, and the second scheduling scheme can bear 5MWx0.4=2MW. The increase in the active power of the downstream hydropower station is determined to be 18MW, that is, compared with the first scheduling scheme, the active power of the downstream hydropower station is increased by 2MW, and compared with the second scheduling scheme, the active power of the downstream hydropower station is increased by 3MW. The final target scheduling scheme is obtained.

[0215] Therefore, the adjustment range is allocated according to the weight, which can not only retain the core of the first scheme “quickly supplementing active power”, but also optimize “reducing the risk of the power plant”. The final target scheduling scheme can pass the safety verification of the power grid side and the safety verification of the power plant side at the same time, ensuring that the measures after weight allocation do not break the threshold of the power grid stability and do not cause the risk of the power plant equipment, avoiding the problem that a single scheduling scheme loses one and gains the other, and making the scheduling result more in line with the core demand of balancing the safety and efficiency of the actual power grid.

[0216] Referring to Figure 10 The figure is another power generation scheduling method flowchart provided by the embodiment of the application, and the method comprises:

[0217] S1001: Obtain the system operation data set of each unit in the power plant respectively.

[0218] The power plant comprises at least one of a hydroelectric unit, a wind power unit, a photovoltaic unit and a coal power unit.

[0219] As an example, the system operation data set comprises at least total active power, current load and system inertia, and can further comprise data such as system frequency and historical reference data.

[0220] For example, the system frequency is 50.0 Hz, the system inertia is 7.2 s, wherein the thermal power plant and the hydroelectric power plant provide 6.0 s, the wind power plant and the photovoltaic power plant provide virtual inertia 1.2 s, the active power of the hydroelectric power plant is 40 MW, the active power of the wind power plant is 30 MW, the active power of the photovoltaic plant is 50 MW, the active power of the coal power plant is 40 MW, the total active power is 160 MW, the current load is 180 MW, and the historical reference data is that the average system inertia in the same period in the past 30 days is 7.5 s, and the frequency fluctuation standard deviation is 0.05 Hz.

[0221] S1002: Extracting system characteristic parameters based on the system operation data set.

[0222] The system characteristic parameters at least comprise system power shortage and system inertia. Specifically, the system power shortage = current load - total active power.

[0223] As an example, the system characteristic parameters can be extracted based on the system operation data in the past 30 days.

[0224] S1003: Constructing a stability slide based on the numerical correlation between the values of the system characteristic parameters.

[0225] Specifically, the stability slide about system power shortage and system inertia can be constructed based on the extracted system characteristic parameters.

[0226] S1004: Obtaining current operation data of the power system.

[0227] For example, the current operation data is that the system frequency is 49.95 Hz, which has decreased by 0.05 Hz in the past 1 hour; the real-time active power of each unit is respectively 38 MW for the hydroelectric power plant, 25 MW for the wind power plant, 45 MW for the photovoltaic power plant and 40 MW for the thermal power plant; the current load is 180 MW; and the system inertia is 7.0 s.

[0228] S1005: Based on a preset monitoring period, performing reliability operation test and frequency change rate test using the current operation data to obtain stability information of the power plant.

[0229] As an example, the monitoring period can be flexibly set based on actual needs, for example, in the case of stable operation of the power system, the monitoring period can be set to several months or even one year, and in the case of frequent fluctuations of the power system or in the early stage of establishment of the power system, the monitoring period can be set to several hours or several days.

[0230] A reliability operation test (RRT) is conducted using current operating data, simulating a 32MW power shortage lasting 10 minutes. The loss of load probability (LOLP) is calculated. Taking LOLP = 0.05 as an example, there is a 5% probability of triggering under-frequency load shedding. At this point, it can be determined that "reliability risk exists."

[0231] Use the current operating data to perform the rate of change test (RO), based on the formula RoCoF=ΔP / (2×H×S base )(S base =300MVA), calculate the current RoCoF=32 / (2×7.0×300)=0.024Hz / s, which is within the safe range.

[0232] From this, we can obtain the stability information of the power plant, including "the current power shortage is 32MW, the system inertia is 7.0s (low); if not adjusted, the risk of load loss in 10 minutes is 5%, and active power needs to be supplemented and the inertia needs to be increased."

[0233] S1006: Determine a target scheduling solution based on the stability information and the slider group including the stability slider.

[0234] As an example, based on the stability information, a slider group including a second slider regarding power generation priority, a stability slider, a hydropower regulation slider, and a thermal power regulation slider may be used. Among them, through the stability slider, based on the stability information of "current power shortage of 32MW and system inertia of 7.0s", the core regulation strategy of "supplementing 32MW of active power and increasing the system inertia to more than 7.5s" can be output; through the second slider, the regulation strategy of "prioritizing the regulation of hydropower plants and thermal power plants to increase system inertia" can be obtained; through the hydropower regulation slider, the regulation strategy of "the current active power of hydropower is 38MW, which can be increased to a maximum of 55MW, the regulation time is 5 minutes, and the increase of 17MW can increase the system inertia by 0.34s" can be obtained; through the thermal power regulation slider, the regulation strategy of "the current active power of thermal power is 40MW, which can be increased to a maximum of 50MW, the regulation time is 10 minutes, and the increase of 10MW can increase the system inertia by 0.3s" can be obtained; the remaining 5MW active power shortage can be supplemented by photovoltaic power plants, thus obtaining the final target scheduling plan.

[0235] Thus, through a closed-loop process of "data acquisition - feature extraction - slider construction - experimental verification - dispatch generation," grid stability indicators are linked to unit regulation capabilities via a slider, achieving the goals of quantifying risks and precise regulation. Compared to traditional dispatch, this method, based on real-time data and experimental verification, avoids the bias of empirical decision-making and is particularly suitable for stability control in multi-energy complementary power grids.

[0236] See also Figure 11The figure is a schematic diagram of a power generation scheduling device provided by the embodiment of the application, and the device comprises:

[0237] The acquisition module 111 is configured to acquire current operation data of the power system; the current operation data comprises grid-side operation data and power plant-side operation data.

[0238] The calculation module 112 is configured to perform power plant-side safety calculation and grid-side safety calculation based on the current operation data, to obtain function abnormality information.

[0239] The scheduling module 113 is configured to determine a target scheduling scheme by using a preconfigured slide ruler group based on the function abnormality information; the slide ruler indicates a numerical correlation relationship between characteristic parameter values; the characteristic parameters are obtained based on the operation data.

[0240] Therefore, the numerical correlation relationship between the characteristic parameter values is pre-stored by using the slide ruler group, in the case of function abnormality, the target scheduling scheme can be quickly obtained by using the slide ruler group without re-modeling, the time from abnormality detection to generation of the scheduling scheme is greatly shortened, in the case of high-frequency adjustment such as grid voltage fluctuation or unit vibration overrun, the target scheduling scheme can be efficiently provided, the function abnormality can be effectively handled based on the target scheduling scheme, and the safety of the power system is improved.

[0241] Optionally, the calculation module 112 is specifically configured to perform power plant-side safety calculation and grid-side safety calculation based on the current operation data; the power plant-side safety calculation at least comprises hydraulic operation safety calculation, vibration safety calculation and load shedding safety calculation, and the grid-side safety calculation at least comprises voltage safety calculation, frequency safety calculation and system inertia safety calculation; if any one of the calculation results of the power plant-side safety calculation and the grid-side safety calculation indicates insufficient safety, or the difference between the current operation data and historical reference data is greater than a preset threshold, function abnormality information including abnormal function and abnormal data is generated.

[0242] Optionally, the calculation module 112 is specifically configured to perform power plant-side safety calculation and grid-side safety calculation based on the current operation data; the power plant-side safety calculation at least comprises photovoltaic component safety calculation, electrical system safety calculation, active power safety calculation and reactive power safety calculation, and the grid-side safety calculation at least comprises voltage safety calculation, frequency safety calculation and system inertia safety calculation; if any one of the calculation results of the power plant-side safety calculation and the grid-side safety calculation indicates insufficient safety, or the difference between the current operation data and historical reference data is greater than a preset threshold, function abnormality information including abnormal function and abnormal data is generated.

[0243] Optionally, the computing module 112 is specifically configured to: perform power plant side safety calculation and power grid side safety calculation based on the current operation data; the power plant side safety calculation at least includes unit structure vibration safety calculation and unit operation safety calculation, and the power grid side safety calculation at least includes voltage safety calculation, frequency safety calculation and system inertia safety calculation; if any one of the power plant side safety calculation and the power grid side safety calculation indicates insufficient safety, or the difference between the current operation data and the historical reference data is greater than a preset threshold, the function abnormal information including the abnormal function and the abnormal data is generated.

[0244] Optionally, the computing module 112 is specifically configured to: perform power plant side safety calculation and power grid side safety calculation based on the current operation data; the power plant side safety calculation at least includes carbon emission safety calculation, and the power grid side safety calculation at least includes voltage safety calculation, frequency safety calculation and system inertia safety calculation; if any one of the power plant side safety calculation and the power grid side safety calculation indicates insufficient safety, or the difference between the current operation data and the historical reference data is greater than a preset threshold, the function abnormal information including the abnormal function and the abnormal data is generated.

[0245] Optionally, the scheduling module 113 is specifically configured to: determine a first scheduling scheme through a first slide ruler group pre-configured based on the function abnormal information; the first slide ruler group is used to cooperatively schedule power generation priority, power generation capacity, system inertia, frequency and voltage of different power plants; perform power plant side safety calculation and power grid side safety calculation based on a scheduling result of the first scheduling scheme to determine secondary abnormal information; cooperatively schedule operation data of different power plants through a second slide ruler group pre-configured based on the secondary abnormal information to determine a second scheduling scheme; the second slide ruler group is used to cooperatively schedule operation data of multiple power plants; and generate a target scheduling scheme based on the first scheduling scheme and a preset first weight, and the second scheduling scheme and a preset second weight.

[0246] Optionally, the scheduling module 113 is specifically configured to: determine a target slide ruler corresponding to the abnormal function based on the abnormal function indicated in the function abnormal information and functions of each slide ruler in the slide ruler group pre-configured; determine a sliding window of a target feature parameter corresponding to the abnormal data through the target slide ruler based on the abnormal data indicated in the function abnormal information; and generate the target scheduling scheme through the deep learning model based on the sliding window.

[0247] Optionally, the power generation scheduling device provided by another embodiment of the present application further comprises: a first construction module comprising an extraction unit and a first construction unit, wherein the extraction unit is configured to extract at least two historical feature parameters based on historical operation data under normal working conditions of the power system; and the first construction unit is configured to construct a slide ruler based on a deep learning model with a numerical correlation relationship between historical feature parameter values as a knowledge graph.

[0248] Optionally, the scheduling module 113 is configured to: determine a target slide ruler corresponding to the abnormal function based on the abnormal function indicated in the function abnormality information and the functions of the slide rulers in the preconfigured slide ruler group; determine a sliding window corresponding to a target characteristic parameter of the abnormal data based on the abnormal data indicated in the function abnormality information through the target slide ruler; and select a target scheduling scheme from the plurality of scheduling schemes preconfigured in the target slide ruler based on the sliding window.

[0249] Optionally, the power generation scheduling device further comprises a second construction module, which comprises an extraction unit, a setting unit and a second construction unit. The extraction unit is configured to extract at least two historical characteristic parameters based on historical operation data under normal working conditions of the power system. The setting unit is configured to set a plurality of scheduling schemes based on a numerical correlation relationship between the historical characteristic parameter values. The second construction unit is configured to construct a slide ruler based on the numerical correlation relationship between the historical characteristic parameter values and the plurality of scheduling schemes.

[0250] Optionally, the extraction unit is configured to obtain a first operation data set under a water power plant water power operation safety condition. The first operation data set at least includes upstream water level, downstream water level, spiral case pressure and guide vane opening data. The first characteristic parameter is extracted based on the first operation data set. The first characteristic parameter at least includes reservoir water level rising speed and spiral case static water pressure.

[0251] Optionally, the extraction unit is configured to obtain a second operation data set under a water power plant vibration safety condition. The second operation data set at least includes active power, engine speed and engine amplitude. The second characteristic parameter is extracted based on the second operation data set. The second characteristic parameter at least includes active power and engine amplitude.

[0252] Optionally, the extraction unit is configured to obtain a third operation data set under a water power plant load rejection safety condition. The third operation data set at least includes spiral case inlet pressure, servomotor stroke and engine speed change data. The third characteristic parameter is extracted based on the third operation data set. The third characteristic parameter at least includes load rejection active power and engine speed.

[0253] Optionally, the extraction unit is configured to obtain a fourth operation data set under an active power safety condition of a photovoltaic power plant. The fourth operation data set at least includes reactive power and voltage. The fourth characteristic parameter is extracted based on the fourth data set. The fourth characteristic parameter at least includes reactive power and voltage.

[0254] Optionally, the extraction unit is configured to obtain a fifth operation data set under a carbon emission safety condition of a thermal power plant. The fifth operation data set at least includes coal consumption, heat consumption and unit cost. The fifth characteristic parameter is extracted based on the fifth operation data set. The fifth characteristic parameter at least includes coal consumption and unit cost.

[0255] Optionally, the extraction unit is configured to acquire system operation data sets of each unit in the power plant respectively, wherein the system operation data sets at least include total active power, current load and system inertia; the power plant includes at least one of a hydropower unit, a wind power unit, a photovoltaic unit and a coal power unit; the system feature parameters are extracted based on the system operation data sets; the system feature parameters at least include system power shortage and system inertia.

[0256] Optionally, the power generation scheduling device provided by the embodiment of the present application further includes a monitoring module configured to perform reliability operation test and frequency change rate test based on preset monitoring period using current operation data to obtain stability information of the power plant; and determine the target scheduling scheme based on the stability information and a slide ruler group including a stability slide ruler.

[0257] Referring to Figure 12 , the figure is a structure diagram of a power generation scheduling device provided by the embodiment of the present application, the device includes a memory 121 and a processor 122.

[0258] The memory 121 is configured to store program codes and transmit the program codes to the processor.

[0259] The processor 122 is configured to execute the steps of the power generation scheduling method according to the instructions in the program codes.

[0260] In addition, the present application further provides a computer readable storage medium, the computer readable storage medium stores computer instructions, when the computer instructions run on the power generation scheduling device, the power generation scheduling device executes the steps of the power generation scheduling method.

[0261] It should be noted that each embodiment in the present specification adopts a progressive manner for description, and the same and similar parts between each embodiment can be referred to each other, and each embodiment focuses on the different places from other embodiments. Especially, the device and storage medium embodiments are described more simply because they are basically similar to the method embodiments, and the relevant parts can be referred to the part of the description of the method embodiments. The device and storage medium embodiments described above are only schematic, and the units described as separate components can be or can not be physically separated, and the components indicated as units can be or can not be physical units, that is, they can be located in one place, or can be distributed on multiple network units. According to the actual needs, part or all of the modules can be selected to achieve the purpose of the embodiment scheme. Those skilled in the art can understand and implement without creative labor.

[0262] The above merely provides one specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any changes or replacements within the technical scope disclosed by the present application, which can be easily thought by any person skilled in the art, should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A power generation scheduling method, characterized in that: The method comprises: Acquiring current operating data of the power system; the current operating data includes grid-side operating data and power plant-side operating data; Performing power plant-side safety calculations and grid-side safety calculations based on the current operating data to obtain functional abnormality information; Based on the functional anomaly information, a target scheduling plan is determined by a pre-configured sliding scale group; the sliding scale indicates a numerical correlation relationship between characteristic parameter values; the characteristic parameters are extracted based on operating data; The determining of a target scheduling solution based on the functional abnormality information by a pre-configured sliding scale group includes: Based on the functional anomaly information, a first scheduling scheme is determined using a pre-configured first slider group; the first slider group is used to coordinate the power generation priority, power generation, system inertia, frequency, and voltage of different power plants; based on the scheduling results of the first scheduling scheme, power plant-side security calculations and grid-side security calculations are performed to determine secondary anomaly information; based on the secondary anomaly information, a second scheduling scheme is determined using a pre-configured second slider group to coordinate the operating data of different power plants; the second slider group is used to coordinate the operating data of multiple power plants; based on the first scheduling scheme and a preset first weight, and based on the second scheduling scheme and a preset second weight, a target scheduling scheme is generated; or, Based on the abnormal function indicated in the functional abnormality information and the functions of each slider in the pre-configured slider group, a target slider corresponding to the abnormal function is determined; based on the abnormal data indicated in the functional abnormality information, a sliding window of target characteristic parameters corresponding to the abnormal data is determined through the target slider; based on the sliding window, a target scheduling plan is generated through a deep learning model; or based on the sliding window, a target scheduling plan is selected from multiple scheduling plans preset in the target slider.

2. The method according to claim 1, characterized in that Applied to a hydropower plant, the power plant side security calculation and the grid side security calculation are performed based on the current operating data to obtain functional abnormality information, including: performing power plant-side safety calculations and grid-side safety calculations based on the current operating data; the power plant-side safety calculations at least include hydraulic operation safety calculations, vibration safety calculations, and load rejection safety calculations; and the grid-side safety calculations at least include voltage safety calculations, frequency safety calculations, and system inertia safety calculations; If any calculation result of the power plant side security calculation and the grid side security calculation indicates insufficient safety, or the difference between the current operating data and the historical reference data is greater than a preset threshold, functional abnormality information including abnormal function and abnormal data is generated.

3. The method according to claim 1, characterized in that Applied to a photovoltaic power plant, the power plant-side safety calculation and the grid-side safety calculation are performed based on the current operating data to obtain functional abnormality information, including: Performing power plant-side security calculations and grid-side security calculations based on the current operating data; the power plant-side security calculations include at least photovoltaic module safety calculations, electrical system safety calculations, active power safety calculations, and reactive power safety calculations; and the grid-side security calculations include at least voltage safety calculations, frequency safety calculations, and system inertia safety calculations; If any calculation result of the power plant side security calculation and the grid side security calculation indicates insufficient safety, or the difference between the current operating data and the historical reference data is greater than a preset threshold, functional abnormality information including abnormal function and abnormal data is generated.

4. The method according to claim 1, wherein Applied to a wind power plant, the power plant side security calculation and the grid side security calculation are performed based on the current operating data to obtain functional abnormality information, including: performing power plant-side safety calculations and grid-side safety calculations based on the current operating data; the power plant-side safety calculations at least include unit structural vibration safety calculations and unit operation safety calculations, and the grid-side safety calculations at least include voltage safety calculations, frequency safety calculations, and system inertia safety calculations; If any calculation result of the power plant side security calculation and the grid side security calculation indicates insufficient safety, or the difference between the current operating data and the historical reference data is greater than a preset threshold, functional abnormality information including abnormal function and abnormal data is generated.

5. The method according to claim 1, wherein Applied to a thermal power plant, the power plant side security calculation and the grid side security calculation are performed based on the current operating data to obtain functional abnormality information, including: Performing power plant-side security calculations and grid-side security calculations based on the current operating data; the power plant-side security calculations at least include carbon emission security calculations, and the grid-side security calculations at least include voltage security calculations, frequency security calculations, and system inertia security calculations; If any calculation result of the power plant side security calculation and the grid side security calculation indicates insufficient safety, or the difference between the current operating data and the historical reference data is greater than a preset threshold, functional abnormality information including abnormal function and abnormal data is generated.

6. The method according to claim 1, characterized in that In the case where a target scheduling solution is generated by a deep learning model based on the sliding window, before determining the target scheduling solution by a pre-configured sliding scale group based on the functional abnormality information, the method further includes: Extracting at least two historical characteristic parameters based on historical operating data of the power system under normal operating conditions; Using the numerical correlation between historical feature parameter values ​​as the knowledge graph, a sliding scale based on the deep learning model is constructed.

7. The method according to claim 1, characterized in that In a case where a target scheduling scheme is selected from a plurality of scheduling schemes preset in the target slider based on the sliding window, before determining the target scheduling scheme using a preconfigured slider group based on the function abnormality information, the method further includes: Extracting at least two historical characteristic parameters based on historical operating data of the power system under normal operating conditions; Setting multiple scheduling plans based on the numerical correlation between historical characteristic parameter values; A sliding scale is constructed based on the numerical correlation between the historical characteristic parameter values ​​and the multiple scheduling schemes.

8. The method according to claim 6 or 7, characterized in that Applied to a hydropower plant, the method extracts at least two historical characteristic parameters based on historical operating data of the power system under normal operating conditions, including: Acquire a first operating data set under a condition of hydraulically safe operation of the hydropower plant; the first operating data set includes at least upstream water level, downstream water level, volute pressure, and guide vane opening data; A first characteristic parameter is extracted based on the first operating data set; the first characteristic parameter includes at least a reservoir water level rising rate and a volute hydrostatic pressure.

9. The method according to claim 6 or 7, characterized in that Applied to a hydropower plant, the method extracts at least two historical characteristic parameters based on historical operating data of the power system under normal operating conditions, including: Acquire a second operating data set under a vibration safety condition of the hydropower plant; the second operating data set includes at least active power, engine speed, and engine amplitude; A second characteristic parameter is extracted based on the second operating data set; the second characteristic parameter includes at least active power and engine amplitude.

10. The method according to claim 6 or 7, characterized in that Applied to a hydropower plant, the method extracts at least two historical characteristic parameters based on historical operating data of the power system under normal operating conditions, including: Acquire a third operating data set under a load shedding safety condition of the hydropower plant; the third operating data set at least including volute inlet pressure, servomotor stroke, and engine speed change data; A third characteristic parameter is extracted based on the third operating data set; the third characteristic parameter at least includes load rejection active power and engine speed.

11. The method according to claim 6 or 7, characterized in that Applied to photovoltaic power plants, the method extracts at least two historical characteristic parameters based on historical operating data of the power system under normal operating conditions, including: Acquire a fourth operating data set under a safe active power condition of the photovoltaic power plant; the fourth operating data set includes at least reactive power and voltage; A fourth characteristic parameter is extracted based on the fourth operating data set; the fourth characteristic parameter includes at least reactive power and voltage.

12. The method according to claim 6 or 7, characterized in that Applied to thermal power plants, the method extracts at least two historical characteristic parameters based on historical operating data of the power system under normal operating conditions, including: Obtaining a fifth operating data set under a carbon emission safety condition of the thermal power plant; the fifth operating data set at least including coal consumption, heat consumption, and cost per kilowatt-hour; A fifth characteristic parameter is extracted based on the fifth operating data set; the fifth characteristic parameter at least includes coal consumption and cost per kilowatt-hour.

13. The method according to claim 6 or 7, characterized in that The extracting of at least two historical characteristic parameters based on historical operating data of the power system under normal operating conditions includes: Obtaining a system operation data set for each unit in a power plant respectively; the system operation data set includes at least total active power, current load, and system inertia; the power plant includes at least one unit selected from the group consisting of a hydropower unit, a wind power unit, a photovoltaic unit, and a coal-fired power unit; System characteristic parameters are extracted based on the system operation data set; the system characteristic parameters at least include system power shortage and system inertia.

14. The method according to claim 13, wherein: After obtaining the current operating data of the power plant, the method further includes: Based on a preset monitoring period, the reliability operation test and the frequency change rate test are performed using the current operation data to obtain stability information of the power plant; A target scheduling solution is determined based on the stability information and a slider group including a stability slider.

15. A power generation dispatching device, characterized in that: The device comprises: An acquisition module is used to acquire current operation data of the power system; the current operation data includes grid-side operation data and power plant-side operation data; a calculation module, configured to perform power plant-side safety calculations and grid-side safety calculations based on the current operating data to obtain function abnormality information; A scheduling module, configured to determine a target scheduling plan based on the functional anomaly information using a pre-configured sliding scale group; the sliding scale group indicates a numerical correlation relationship between characteristic parameter values; the characteristic parameters are extracted based on the operating data; The scheduling module is specifically configured to: determine a first scheduling scheme based on the functional abnormality information using a pre-configured first slider group; the first slider group is used to coordinately schedule the power generation priority, power generation, system inertia, frequency, and voltage of different power plants; perform power plant-side security calculations and grid-side security calculations based on the scheduling results of the first scheduling scheme to determine secondary abnormality information; based on the secondary abnormality information, determine a second scheduling scheme by coordinating the operating data of different power plants using a pre-configured second slider group; the second slider group is used to coordinately schedule the operating data of multiple power plants; and generate a target scheduling scheme based on the first scheduling scheme and a preset first weight, and the second scheduling scheme and a preset second weight. or, Based on the abnormal function indicated in the functional abnormality information and the functions of each slider in the pre-configured slider group, a target slider corresponding to the abnormal function is determined; based on the abnormal data indicated in the functional abnormality information, a sliding window of target characteristic parameters corresponding to the abnormal data is determined through the target slider; based on the sliding window, a target scheduling plan is generated through a deep learning model; or based on the sliding window, a target scheduling plan is selected from multiple scheduling plans preset in the target slider.

16. A power generation dispatching device, characterized in that: The device includes: a memory and a processor; The memory is used to store program code and transmit the program code to the processor; The processor is configured to execute the steps of the power generation scheduling method according to any one of claims 1 to 14 according to the program code.

17. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program. When the computer program runs on a power generation dispatching device, the power generation dispatching device executes the steps of the power generation dispatching method according to any one of claims 1 to 14.

Images