Double-control type wind power energy storage method and system

Abstract

The invention discloses a double-control type wind power energy storage method and system, and relates to the field of wind power plant control prediction, and the method comprises the steps: S1, obtaining a wind power plant operation log, and carrying out the analysis of the wind power plant operation log, and obtaining the operation data of a previous operation scene and a corresponding scene; s2, acquiring a deployment condition of a wind power plant, and constructing a wind power energy storage virtual framework in combination with a previous operation scene and operation data of a corresponding scene; s3, counting the loss condition of the previous power plant equipment, and marking the loss condition of the previous power plant equipment into the wind power energy storage virtual framework to obtain a wind power energy storage virtual operation model; and S4, predicting a future operation condition according to the wind power energy storage virtual operation model to obtain a double-control wind power energy storage strategy. The double-control type wind power energy storage method is adopted to monitor and predict the operation condition of the wind power plant, and the equipment loss condition is simulated to regulate and control the power plant, so that the efficiency of the power plant is effectively improved, and the safety of the power plant is maintained.

Description

Technical Field

[0001] The present invention relates to the field of wind farm control prediction, and particularly to a dual-control wind power energy storage method and system. Background Art

[0002] Wind power generation drives the wind turbine to rotate through wind force, converts the kinetic energy of the wind into mechanical energy, and then converts the mechanical energy into electrical energy through a generator. The problem with wind power is its instability. Since the wind sometimes exists and sometimes does not, energy storage is needed to balance it.

[0003] Traditional wind power energy storage systems are configured with energy storage to suppress the power fluctuations of wind power, such as lithium batteries or supercapacitors. Their main function is to release or store energy when the wind is unstable to maintain stable output. Traditional systems focus more on a single function, such as smoothing power or frequency modulation, and the control strategy may be relatively simple, such as charging and discharging according to the SOC (state of charge), without much complex coordination.

[0004] The dual-control system has dual regulation of power control and energy management at the same time. It not only has to handle real-time power fluctuations but also optimize the use of energy storage. However, in the process of dual regulation, less consideration is given to the inspection of equipment losses, and the equipment cannot be predicted and replaced, which may cause greater economic losses.

[0005] In order to solve these problems, there is an urgent need for a dual-control wind power energy storage method and system that takes into account equipment losses. Summary of the Invention

[0006] To solve the above problems, the present application proposes a dual-control wind power energy storage method and system.

[0007] A dual-control wind power energy storage method includes the following steps: S1. Obtain the operation log of the wind farm, and analyze the operation log of the wind farm to obtain past operation scenarios and the operation data corresponding to the scenarios; S2. Obtain the deployment situation of the wind farm, and construct a virtual framework for wind power energy storage in combination with past operation scenarios and the operation data corresponding to the scenarios; S3. Statistically analyze the equipment loss situation of the past power plant, and mark the equipment loss situation of the past power plant into the virtual framework of wind power energy storage to obtain a virtual operation model of wind power energy storage; S4. Predict the future operation situation according to the virtual operation model of wind power energy storage to obtain a dual-control wind power energy storage strategy.

[0008] Preferably, the specific content of analyzing the operation log of the wind farm in S1 to obtain past operation scenarios and the operation data corresponding to the scenarios is: Analyze the operation log of the wind farm to obtain past weather conditions, past urban demand conditions, and the correlation between the two; Conduct feature analysis on past weather conditions and past urban demand conditions to obtain weather features and urban demand features; Based on the correlation relationship between past weather conditions and past urban demand conditions, correlate the weather features and urban demand features to obtain a correlation group; Divide the wind farm operation logs according to the correlation group to obtain past operation scenarios, and extract the operation data corresponding to the scenarios to form a scenario data group.

[0009] Preferably, the specific content of obtaining the wind farm deployment situation in S2 and constructing a virtual framework for wind power energy storage in combination with past operation scenarios and their corresponding operation data is as follows: Obtain the wind farm deployment situation, and obtain the geographical information of the wind farm, the regional information on the fan side, the regional information on the energy storage side, and the equipment information from the wind farm deployment situation; Construct an initial plane block according to the geographical information of the wind farm, and divide the initial plane block into fan blocks and energy storage blocks in combination with the regional information on the fan side and the regional information on the energy storage side; Extract the equipment location information and equipment structure information from the equipment information; Generate an equipment virtual model according to the equipment structure information, and establish the equipment virtual model on the initial plane block according to the equipment location information to form a virtual block for wind power energy storage; Simulate the past operation scenarios and their corresponding operation data on the virtual block for wind power energy storage to obtain a virtual framework for wind power energy storage.

[0010] Preferably, the specific content of S3, statistically analyzing the equipment losses of past power plants and marking the equipment losses of past power plants into the virtual framework for wind power energy storage to obtain a virtual operation model for wind power energy storage is as follows: Statistically analyze the equipment losses of past power plants, and analyze the operation and maintenance conditions of different equipment to obtain the periodic change data of different equipment; Map the periodic change data of different equipment to the scenario data group in the past operation scenarios in the virtual framework for wind power energy storage to obtain a mapping relationship; Mark the periodic change data of different equipment and the scenario data group into the virtual framework for wind power energy storage, and perform training in combination with the mapping relationship to obtain the energy storage SOC safety constraints, converter constraints, fan constraints, and equipment loss values under different scenarios.

[0011] Preferably, the specific content of S4, predicting the future operation situation according to the virtual operation model for wind power energy storage to obtain a dual-control wind power energy storage strategy is as follows: Obtain the urban demand situation and weather situation for a future period of time, and extract the urban demand features and weather features; According to the urban demand characteristics and weather characteristics, the corresponding association groups are obtained, and based on the association groups, the past operating scenarios and their corresponding energy storage SOC safety constraints, converter constraints, fan constraints, and equipment loss value definitions are determined as target constraints; Obtain the current operating information, its corresponding constraint conditions, and the current equipment loss value, and determine whether to perform optimal scheduling in combination with the target constraints. If optimal scheduling is not performed, the wind farm operating data is simulated in real time and equipment monitoring is carried out; If optimal scheduling is to be performed, the target constraints are corrected by combining the equipment loss value in the target constraints and the current equipment loss value to obtain a dual-control wind power energy storage strategy.

[0012] Preferably, the specific content of correcting the target constraints by combining the equipment loss value in the target constraints and the current equipment loss value to obtain a dual-control wind power energy storage strategy is as follows: Define the equipment loss value in the target constraints as the target loss value; Obtain the current equipment loss value and the target loss value. If the current equipment loss value is greater than the target loss value, the current operating condition is not suitable for optimal scheduling, and equipment inspection and manual adjustment are carried out; If the current equipment loss value is less than the target loss value, it is defined as an abnormal equipment and the cumulative loss value variable is calculated. A conversion factor is configured for the cumulative loss value variable according to the equipment impact weight conversion factor to obtain a regulation function; Adjust the target constraints according to the regulation function to obtain a dual-control wind power energy storage strategy.

[0013] Preferably, the expression of the target constraints is: ; Among them, ; ; ; ; Among them, is the lower limit of the state of charge, is the upper limit of the state of charge, is the state of charge at the current time, is the corrected upper limit of the discharge power, is the corrected upper limit of the charging power, is the output electric power, is the lower limit of the fan speed, is the upper limit of the fan speed, is the current fan speed, is the charging efficiency, is the charging power, is the discharge power, is the discharge efficiency, is the corrected battery capacity, is the initial battery capacity, is the initial discharge power, is the initial fan speed, Y is the regulation function, is the fan regulation function, is the converter regulation function, is the energy storage SOC safety regulation function; Among them, the energy storage safety regulation function : ; converter regulation function : ; fan regulation function : ; Among them, i is the i-th abnormal device, is the loss value variable of the i-th abnormal device, is the influence weight conversion coefficient of the i-th abnormal device.

[0014] Preferably, the device loss value is evaluated according to the device loss situation.

[0015] A dual-control wind power energy storage system, comprising: Data acquisition unit: Obtain the operation log of the wind farm, analyze the operation log of the wind farm to obtain the past operation scenarios and the operation data of their corresponding scenarios; Frame construction unit: Obtain the deployment situation of the wind farm, and construct a wind power energy storage virtual frame in combination with the past operation scenarios and the operation data of their corresponding scenarios; Model generation unit: Statistically analyze the past equipment loss situation of the power plant, and mark the past equipment loss situation into the wind power energy storage virtual frame to obtain a wind power energy storage virtual operation model; Strategy generation unit: Predict the future operation situation according to the wind power energy storage virtual operation model to obtain a dual-control wind power energy storage strategy.

[0016] In summary, a dual-control wind power energy storage method and system of the present invention, compared with the traditional technology, adopts a dual-control wind power energy storage method to monitor and predict the operation situation of the wind farm, simulate the equipment loss situation and then regulate the power plant, effectively improving the power plant efficiency and maintaining the safety of the power plant.

[0017] Next, through the drawings and embodiments, the technical method of the present invention will be further described in detail. Description of the Drawings

[0018] Figure 1This is a flowchart of the steps of a dual - control wind power energy storage method of the present invention; Figure 2 This is a block diagram of a dual - control wind power energy storage system of the present invention. Specific embodiments

[0019] The technical method of the present invention will be further described below with reference to the drawings and embodiments. It should be noted that: unless otherwise specifically stated, the relative arrangements of components and steps, numerical expressions and values set forth in these embodiments do not limit the scope of the present application.

[0020] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way a limitation on the present application, its application, or its use.

[0021] Techniques, systems, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques, systems, and devices should be regarded as part of the specification.

[0022] In all the examples shown and discussed here, any specific values should be construed as merely exemplary and not as a limitation. Thus, other examples of the exemplary embodiments may have different values.

[0023] Unless otherwise defined, the technical terms or scientific terms used in the present invention should have the ordinary meaning as understood by those of ordinary skill in the field to which the present invention belongs.

[0024] As Figure 1 shown, the present invention provides a dual - control wind power energy storage method. S1: Obtain the operation log of the wind farm, and analyze the operation log of the wind farm to obtain past operation scenarios and the operation data corresponding to the scenarios.

[0025] Further, the specific content of analyzing the operation log of the wind farm in S1 to obtain past operation scenarios and the operation data corresponding to the scenarios is as follows: Analyze the operation log of the wind farm to obtain past weather conditions, past urban demand conditions, and the correlation between the two.

[0026] Conduct feature analysis on past weather conditions and past urban demand conditions to obtain weather features and urban demand features.

[0027] Correlate the weather features and urban demand features according to the correlation between past weather conditions and past urban demand conditions to obtain a correlation group.

[0028] Divide the operation log of the wind farm according to the correlation group to obtain past operation scenarios, and extract the operation data corresponding to the scenarios to form a scenario data group.

[0029] S2. Obtain the deployment situation of the wind farm, and construct a virtual framework for wind power energy storage by combining past operation scenarios and the operation data corresponding to these scenarios.

[0030] Further, the specific content of obtaining the deployment situation of the wind farm in S2 and constructing a virtual framework for wind power energy storage by combining past operation scenarios and the operation data corresponding to these scenarios is as follows: Obtain the deployment situation of the wind farm, and obtain the geographical information of the wind farm, the regional information on the fan side, the regional information on the energy storage side, and equipment information from the deployment situation of the wind farm.

[0031] Construct an initial plane block based on the geographical information of the wind farm, and divide the initial plane block into fan blocks and energy storage blocks by combining the regional information on the fan side and the regional information on the energy storage side.

[0032] Extract the equipment information to obtain the equipment location information and equipment structure information.

[0033] Generate an equipment virtual model based on the equipment structure information, and establish the equipment virtual model on the initial plane block according to the equipment location information to form a virtual block for wind power energy storage.

[0034] Simulate the past operation scenarios and the operation data corresponding to these scenarios on the virtual block for wind power energy storage to obtain a virtual framework for wind power energy storage.

[0035] S3. Statistically analyze the equipment loss situation of past power plants, and mark the equipment loss situation of past power plants into the virtual framework for wind power energy storage to obtain a virtual operation model for wind power energy storage.

[0036] Further, the specific content of statistically analyzing the equipment loss situation of past power plants in S3 and marking the equipment loss situation of past power plants into the virtual framework for wind power energy storage to obtain a virtual operation model for wind power energy storage is as follows: Statistically analyze the equipment loss situation of past power plants, and analyze the operation and maintenance situations of different equipment to obtain the periodic change data of different equipment.

[0037] Map the periodic change data of different equipment to the scenario data groups in the past operation scenarios in the virtual framework for wind power energy storage to obtain a mapping relationship.

[0038] Mark the periodic change data of different equipment and the scenario data groups into the virtual framework for wind power energy storage, and perform training in combination with the mapping relationship to obtain the energy storage SOC safety constraints, converter constraints, fan constraints, and equipment loss values under different scenarios.

[0039] S4. Predict the future operation situation based on the virtual operation model for wind power energy storage to obtain a dual-control wind power energy storage strategy.

[0040] Further, the specific content of predicting the future operation situation based on the virtual operation model for wind power energy storage in S4 to obtain a dual-control wind power energy storage strategy is as follows: Obtain the urban demand situation and weather conditions for a period of time in the future, and extract urban demand characteristics and weather characteristics.

[0041] Obtain the corresponding association groups based on the urban demand characteristics and weather characteristics, and determine the past operation scenarios and their corresponding energy storage SOC safety constraints, converter constraints, wind turbine constraints, and device loss value definitions as target constraints according to the association groups.

[0042] Obtain the current operation information and its corresponding constraint conditions, as well as the current device loss value, and determine whether to perform optimal scheduling in combination with the target constraints. If optimal scheduling is not performed, simulate the operation data of the wind farm in real time and monitor the devices.

[0043] If optimal scheduling is to be performed, correct the target constraints by combining the device loss value in the target constraints and the current device loss value to obtain a dual-control type wind power energy storage strategy.

[0044] Furthermore, the specific content of correcting the target constraints by combining the device loss value in the target constraints and the current device loss value to obtain a dual-control type wind power energy storage strategy is as follows: Define the device loss value in the target constraints as the target loss value.

[0045] Obtain the current device loss value and the target loss value. If the current device loss value is greater than the target loss value, the current operation status is not suitable for optimal scheduling, and device inspection and manual adjustment are performed.

[0046] If the current device loss value is less than the target loss value, define it as an abnormal device and calculate the cumulative loss value variable, and configure a conversion factor for the cumulative loss value variable according to the device impact weight conversion coefficient to obtain a regulation function; Adjust the target constraints according to the regulation function to obtain a dual-control type wind power energy storage strategy.

[0047] Furthermore, the expression of the target constraints is: .

[0048] Among them, . It can be seen that during the process of adjusting the target constraints according to the regulation function, the energy storage safety constraint adjusts the upper limit of the state of charge positively, and further adjusts the calibrated battery capacity. The lower limit of the state of charge can be set to a fixed value.

[0049] .

[0050] .

[0051] .

[0052] It can be seen that during the process of adjusting the target constraint according to the regulation function, the fan constraint adjusts the upper limit of the fan speed, and a fixed value can be set.

[0053] Among them, is the lower limit of the state of charge, is the upper limit of the state of charge, is the state of charge at the current time, is the upper limit of the corrected discharge power, is the upper limit of the corrected charge power, is the output electric power, is the lower limit of the fan speed, is the upper limit of the fan speed, is the current fan speed, is the charge efficiency, is the charge power, is the discharge power, is the discharge efficiency, is the corrected battery capacity, is the initial battery capacity, is the initial discharge power, is the initial fan speed, Y is the regulation function, is the fan regulation function, is the converter regulation function, is the energy storage SOC safety regulation function; Among them, the energy storage safety regulation function : .

[0054] Converter regulation function : .

[0055] Fan regulation function : .

[0056] Among them, i is the i-th abnormal device, is the loss value variable of the i-th abnormal device, is the influence weight conversion coefficient of the i-th abnormal device.

[0057] Furthermore, the device loss value is evaluated according to the device loss situation.

[0058] As Figure 2 shown, a dual-control wind power energy storage system includes: Data acquisition unit: Obtain the operation log of the wind farm, and analyze the operation log of the wind farm to obtain the past operation scenarios and the operation data of their corresponding scenarios.

[0059] Frame construction unit: Obtain the deployment situation of the wind farm, and construct a virtual framework for wind power energy storage by combining past operation scenarios and the operation data corresponding to their respective scenarios.

[0060] Model generation unit: Statistically analyze the equipment loss situation of past power plants, and mark the equipment loss situation of past power plants into the virtual framework of wind power energy storage to obtain a virtual operation model of wind power energy storage.

[0061] Strategy generation unit: Predict the future operation situation based on the virtual operation model of wind power energy storage to obtain a dual-control wind power energy storage strategy.

[0062] Finally, it should be noted that the above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that they can still modify or equivalently replace the technical method of the present invention, and these modifications or equivalent replacements do not make the modified technical method deviate from the spirit and scope of the technical method of the present invention.

Claims

1. A dual-control wind power energy storage method, characterized in that: The following steps are involved: S1. Obtain wind farm operation logs, analyze the wind farm operation logs to obtain operation data of past operation scenarios and corresponding scenarios; S2. Obtain the deployment status of the wind farm and build a wind power energy storage virtual framework based on the operation data of past operation scenarios and their corresponding scenarios; S3, counting the past power plant equipment losses, marking the past power plant equipment losses into the wind power energy storage virtual framework to obtain a wind power energy storage virtual operation model; S4. Based on the wind power energy storage virtual operation model, the future operation status is predicted to obtain a dual-control wind power energy storage strategy.

2. A dual-control wind power energy storage method according to claim 1, characterized in that: In S1, the specific contents of the past operation scenarios and the operation data of the corresponding scenarios obtained by analyzing the wind farm operation log are as follows: Analyze the wind farm operation log to obtain past weather conditions, past urban demand conditions, and the relationship between the two; Conduct feature analysis on past weather conditions and past urban demand conditions to obtain weather characteristics and urban demand characteristics; According to the correlation between past weather conditions and past urban demand conditions, weather characteristics and urban demand characteristics are correlated to obtain a correlation group; The wind farm operation logs are divided according to the associated groups to obtain past operation scenarios, and the operation data of the corresponding scenarios are extracted to form scenario data groups.

3. A dual-control wind power energy storage method according to claim 2, characterized in that: The specific contents of obtaining the deployment status of wind farms in S2 and building a wind power energy storage virtual framework by combining the operation data of past operation scenarios and their corresponding scenarios are as follows: Obtain the deployment status of the wind farm, and obtain the wind farm geographic information, wind turbine side area information, energy storage side area information and equipment information; Construct an initial plane block according to the geographic information of the wind farm, and divide the initial plane block into a wind turbine block and an energy storage block based on the wind turbine side regional information and the energy storage side regional information; Extracting device information to obtain device location information and device structure information; Generate a virtual model of the equipment according to the equipment structure information, and build the virtual model of the equipment on the initial plane block according to the equipment location information to form a wind power energy storage virtual block; The operation data of past operation scenarios and their corresponding scenarios are simulated on the wind power energy storage virtual block to obtain the wind power energy storage virtual framework.

4. A dual-control wind power energy storage method according to claim 3, characterized in that: S3. Count the past power plant equipment losses, and mark the past power plant equipment losses into the wind power energy storage virtual framework to obtain the specific content of the wind power energy storage virtual operation model: Statistics on past power plant equipment losses, and analysis of the operation and maintenance of different equipment to obtain periodic change data of different equipment; The periodic change data of different equipment are mapped with the scene data group in the past operation scenes in the wind power energy storage virtual framework to obtain the mapping relationship; The periodic change data and scenario data groups of different devices are labeled into the wind power energy storage virtual framework and trained with the mapping relationship to obtain the energy storage SOC safety constraints, converter constraints, wind turbine constraints and equipment loss values ​​under different scenarios.

5. A dual-control wind power energy storage method according to claim 4, characterized in that: In S4, the specific content of the dual-control wind power energy storage strategy is obtained by predicting the future operation status based on the wind power energy storage virtual operation model: Obtain the city demand and weather conditions for a period of time in the future and extract the city demand characteristics and weather characteristics; The corresponding association groups are obtained according to the city demand characteristics and weather characteristics. The past operation scenarios and their corresponding energy storage SOC safety constraints, converter constraints, wind turbine constraints and equipment loss values ​​are defined as target constraints according to the association groups. Obtain the current operation information and its corresponding constraints as well as the current equipment loss value, and determine whether to optimize scheduling in combination with the target constraints. If not, simulate the wind farm operation data in real time and perform equipment monitoring; If optimal scheduling is performed, the target constraint is modified by combining the equipment loss value in the target constraint and the current equipment loss value to obtain a dual-control wind power energy storage strategy.

6. A dual-control wind power energy storage method according to claim 5, characterized in that: The specific content of the dual-control wind power energy storage strategy is obtained by correcting the target constraint by combining the equipment loss value in the target constraint and the current equipment loss value: Define the equipment loss value in the target constraint as the target loss value; Get the current equipment loss value and target loss value. If the current equipment loss value is greater than the target loss value, the current operating status is not suitable for optimized scheduling. Perform equipment inspection and make manual adjustments. If the current equipment loss value is less than the target loss value, it is defined as an abnormal device and the cumulative loss value variable is calculated. The conversion factor is configured for the cumulative loss value variable according to the equipment impact weight conversion coefficient to obtain the control function; The target constraints are adjusted according to the control function to obtain the dual-control wind power energy storage strategy.

7. A dual-control wind power energy storage method according to claim 5, characterized in that: The expression of the goal constraint is: ； in, ； ； ； ； in, is the lower limit of the state of charge, is the upper limit of the state of charge, is the charge state at the current time, is the corrected upper limit of discharge power, is the corrected upper limit of charging power, is the output electrical power, is the lower limit of the fan speed, is the upper limit of the fan speed, is the current fan speed, For charging efficiency, is the charging power, is the discharge power, is the discharge efficiency, is the corrected battery capacity, is the initial battery capacity, is the initial discharge power, is the initial fan speed, Y is the control function, is the fan control function, is the converter control function, It is the energy storage SOC safety control function; Among them, energy storage Security control function : ; Converter control function : ; Fan control function : ; Where i is the i-th abnormal device, is the loss value variable of the i-th abnormal device, is the impact weight conversion coefficient of the i-th abnormal device.

8. A dual-control wind power energy storage system, characterized in that: include: Data collection unit: obtains wind farm operation logs, analyzes the wind farm operation logs to obtain past operation scenarios and operation data of corresponding scenarios; Framework construction unit: obtains the deployment status of wind farms and builds a wind power energy storage virtual framework based on the operation data of past operation scenarios and their corresponding scenarios; Model generation unit: statistics on past power plant equipment losses, and marks the past power plant equipment losses into the wind power energy storage virtual framework to obtain a wind power energy storage virtual operation model; Strategy generation unit: predicts the future operation status based on the wind power energy storage virtual operation model to obtain the dual-control wind power energy storage strategy.

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