Wind power distribution control method and device, storage medium and electronic equipment

Abstract

This application discloses a wind power allocation control method, which includes: dividing a regional wind-storage system into domain-level control units and group-level control units, wherein each domain-level control unit contains at least one group-level control unit; constructing a power transmission cross-section based on the transmission line groups of all group-level control units within the domain-level control unit, and calculating the total power margin of the power transmission cross-section; allocating the total power margin to each group-level control unit under the domain-level control unit; and performing power compensation based on the energy storage power station to match the total output power of each group-level control unit with the allocated power margin. This method allocates the power margin to the "group," which can solve the problem that power dispatching is difficult to control every wind farm at the same time, thus improving the stability of the wind farm.

Description

Technical Field

[0001] This application relates to the field of wind power generation technology, and in particular to a wind power distribution control method, device, storage medium and electronic equipment. Background Technology

[0002] In recent years, energy storage technology and cluster control technology have been widely applied in the field of wind power generation, aiming to reduce the adverse effects of wind power generation on the power grid and improve the stability of wind power grid connection. Energy storage technology has also been widely used in new energy power generation. Scholars have proposed various control methods that combine energy storage with new energy power generation, utilizing energy storage power stations to improve the power system's flexible adjustment capabilities, promote high-level absorption of new energy, address the uncertainties of offshore wind and solar power, smooth wind fluctuations, increase power generation, and enhance the low-voltage ride-through capability of permanent magnet wind turbines.

[0003] When wind power generation fails to meet dispatch requirements, there is a certain power transmission margin in the transmission lines. To address this issue, current wind-storage layouts are characterized by large-scale distributed and multi-point configurations. Traditional station-level control methods are lacking in applicability and economy. In terms of optimizing multi-point energy storage cluster control technology, the aforementioned studies have mostly focused on the optimization control and application of a single link, with few studies considering multi-objective optimization control research that combines new energy storage with power station cluster optimization control with regional grid dispatch optimization control. Furthermore, a top-down, regionally coordinated dispatch control system has not been formed. Summary of the Invention

[0004] Based on the above problems, this application provides a wind power distribution control method, device, computer storage medium and electronic device. It divides wind power clusters into regions and clusters, establishes a set of "domain" and its subordinate "groups", draws cross sections to obtain the power margin of power transmission line groups, and rationally distributes the power margin to each cluster in the region, so that control and scheduling can control each wind farm at the same time, thereby improving the stability of the wind power system.

[0005] In a first aspect, embodiments of this application provide a wind power distribution control method, the method comprising:

[0006] The regional wind-storage system is divided into domain-level control units and group-level control units. Each domain-level control unit contains at least one group-level control unit. The power transmission cross-section is constructed based on the transmission line group of all group-level control units within the domain-level control unit, and the total power margin of the power transmission cross-section is calculated. The total power margin is allocated to each group-level control unit under the domain-level control unit. Power compensation is performed based on the energy storage power station to match the total output power of each group-level control unit with the allocated power margin.

[0007] Combining the first aspect and the above implementation methods, in some possible implementations, the total power margin is allocated to the various group-level control units under the domain-level control unit, including:

[0008] Based on the normal distribution characteristics of the prediction errors of each group-level control unit, the realization probability density function that satisfies the scheduling requirements of each group-level control unit is calculated; based on the realization probability density function, the power margin allocation instruction of each group-level control unit is generated.

[0009] Combining the first aspect and the above implementation methods, in some possible implementation methods, based on the implementation probability density function, power margin allocation instructions for each group-level control unit are generated, including:

[0010] An optimization function is constructed with the goal of maximizing the product of the output realization probabilities of all group-level control units; based on the optimization function and the realization probability density function, the power margin allocation command of each group-level control unit is obtained.

[0011] Combining the first aspect and the above implementation methods, in some possible implementation methods, power compensation is performed based on the energy storage power station to match the total output power of each group-level control unit with the allocated power margin, including:

[0012] The energy storage power station calculates its optimal output power based on the scheduling plan tracking component and the fluctuation smoothing component; based on the optimal output power, the total output power of each group-level control unit is matched with the allocated power margin.

[0013] Combining the first aspect and the above implementation methods, in some possible implementation methods, the output power of the energy storage power station is calculated based on the scheduling plan tracking component and the fluctuation smoothing component, including:

[0014] Based on the state of charge of the energy storage power station, an energy storage lifetime optimization target is established; based on the scheduling plan tracking component, fluctuation smoothing component, and energy storage lifetime optimization target, the optimal output power of the energy storage power station is calculated.

[0015] Combining the first aspect and the above implementation methods, in some possible implementation methods, an energy storage lifetime optimization target is established based on the state of charge of the energy storage power station, including:

[0016] Based on the state of the energy storage battery in the energy storage power station, the working range of the energy storage power station is divided into the over-discharge zone, the discharge warning zone, the high-efficiency working zone, the charging warning zone, and the overcharge zone; when the working range deviates from the high-efficiency working zone, the depth of charge and discharge is constrained based on the degree of deviation.

[0017] Combining the first aspect and the above implementation methods, in some possible implementations, the total power margin is allocated to the various group-level control units under the domain-level control unit, including:

[0018] Set the upper limit value of the power transmission cross section, and establish an upper limit constraint based on the upper limit value; based on the upper limit constraint, allocate the total power margin to each group-level control unit under the domain-level control unit.

[0019] Secondly, embodiments of this application provide a wind power distribution control device, the device comprising:

[0020] The partitioning module is used to divide the regional wind storage system into domain-level control units and group-level control units, with each domain-level control unit containing at least one group-level control unit.

[0021] The calculation module is used to construct the power transmission cross section based on the transmission line group of all group-level control units within the domain-level control unit, and to calculate the total power margin of the power transmission cross section.

[0022] The allocation module is used to allocate the total power margin to the various group-level control units under the domain-level control unit;

[0023] The execution module is used to perform power compensation based on the energy storage power station, so that the total output power of each group-level control unit matches the allocated power margin.

[0024] Thirdly, embodiments of this application provide a computer storage medium storing a plurality of instructions adapted for loading by a processor and executing the steps of the method described above.

[0025] Fourthly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being adapted to be loaded by the processor and to execute the steps of the method described above.

[0026] The beneficial effects of the technical solutions provided in some embodiments of this application include at least the following: the regional wind-storage system is divided into domain-level control units and group-level control units, with each domain-level control unit containing at least one group-level control unit; a power transmission cross-section is constructed based on the transmission line groups of all group-level control units within the domain-level control unit, and the total power margin of the power transmission cross-section is calculated; the total power margin is allocated to each group-level control unit under the domain-level control unit; and power compensation is performed based on the energy storage power station to match the total output power of each group-level control unit with the allocated power margin. This method allows the power margin scheduling commands to be allocated to control each wind farm simultaneously, improving the stability of wind power grid connection. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 A system architecture diagram of a wind power distribution control system provided in this application embodiment;

[0029] Figure 2 A flowchart illustrating a wind power distribution control method provided in an embodiment of this application;

[0030] Figure 3 A probability density function graph of wind farm output prediction error is provided for embodiments of this application;

[0031] Figure 4 A structural block diagram of a wind power distribution control device provided in an embodiment of this application;

[0032] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0033] To make the features and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0034] In the following description, when referring to the accompanying drawings, the same numbers in different drawings denote the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0035] In the description of this application, it should be understood that the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances. Furthermore, in the description of this application, unless otherwise stated, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship.

[0036] As mentioned earlier, in the field of wind power technology, the instability of wind brings randomness, intermittency, and volatility to wind power generation, making large-scale wind power grid connection an unprecedented challenge to the power grid in terms of security and dispatch: the output of wind turbines deviates from the planned value, resulting in a continuous existence of cross-sectional power margin, which greatly increases the difficulty of real-time grid balancing; the "one plant, one policy" direct control of hundreds of thousands of distributed wind turbines by provincial dispatch centers is no longer feasible; traditional site-level control approaches are comprehensively inadequate in terms of model scale, computational efficiency, and economics when facing the wind-storage-transmission pattern characterized by "large-scale distributed and multi-point" features. Existing technologies generally remain at the level of "single point" or "single layer" optimization: they either only focus on the battery life, or only on the regional cross-sectional power balance, or only solve the problem of a single site tracking the planned curve, lacking a multi-objective, multi-level collaborative mechanism that integrates "new energy-storage joint power station cluster optimization control" and "regional grid dispatch optimization control" into a unified framework.

[0037] In view of this, this application provides a wind power allocation control method, device, computer storage medium, and electronic equipment. Firstly, at the "domain control" layer, all wind-storage clusters under the same upper-level grid are considered as a "domain." Using the total margin of its grid connection section as a constraint, a dynamic margin allocation algorithm based on the probability density of wind power output prediction errors is adopted. The margin is weighted and distributed according to the real-time dispatchability probability of each cluster, achieving accurate and economical rebalancing of section power. Subsequently, at the "group control" layer, each cluster uses its allocated margin as an instruction to internally construct a multi-objective optimization model of "wind power + energy storage." With the objectives of tracking power generation plans, smoothing power fluctuations, and extending battery life, the model solves for energy storage charging and discharging strategies, ensuring that the batteries operate in a high-efficiency range and reducing the equivalent cycle count. This closed-loop system of "top-down partitioned instruction - bottom-up collaborative execution" not only solves the waste caused by the static allocation of section margin in traditional methods but also overcomes the drawbacks of single-point optimization neglecting battery life and dispatchability, ultimately significantly improving the stability, dispatch accuracy, and overall life-cycle economics of wind power grid connection.

[0038] Please see Figure 1 , Figure 1An exemplary system architecture diagram of a wind power distribution control method provided in this application embodiment.

[0039] like Figure 1 As shown, the system architecture may include a terminal 101, a network 102, and a server 103. The network 102 serves as the medium for providing a communication link between the terminal 101 and the server 103. The network 102 may include various types of wired or wireless communication links, such as wired communication links including fiber optic cables, twisted-pair cables, or coaxial cables, and wireless communication links including Bluetooth communication links, Wireless-Fidelity (Wi-Fi) communication links, or microwave communication links, etc.

[0040] Terminal 101 can interact with server 103 via network 102 to receive messages from or send messages to server 103. Alternatively, terminal 101 can interact with server 103 via network 102 to receive messages or data sent to server 103 by other users. Terminal 101 can be hardware or software. When terminal 101 is hardware, it can be various electronic devices, including but not limited to the wind farm shown in the illustration, or smartwatches, smartphones, tablets, laptops, and desktop computers. When terminal 101 is software, it can be installed in the electronic devices listed above, and it can be implemented as multiple software programs or software modules (e.g., to provide distributed services) or as a single software program or software module; no specific limitation is made here.

[0041] In this embodiment, terminal 101 can divide the regional wind-storage system into domain-level control units and group-level control units, with each domain-level control unit containing at least one group-level control unit; construct a power transmission cross-section based on the transmission line group of all group-level control units within the domain-level control unit, and calculate the total power margin of the power transmission cross-section; allocate the total power margin to each group-level control unit under the domain-level control unit; and perform power compensation based on the energy storage power station to match the total output power of each group-level control unit with the allocated power margin.

[0042] Server 103 can be a business server providing various services. It should be noted that server 103 can be either hardware or software. When server 103 is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or as a single server. When server 103 is software, it can be implemented as multiple software programs or software modules (e.g., used to provide distributed services), or as a single software program or software module; no specific limitations are made here.

[0043] Alternatively, the system architecture may not include server 103. In other words, server 103 may be an optional device in the embodiments of this specification. That is, the method provided in the embodiments of this specification can be applied to a system structure that only includes terminal 101. The embodiments of this application do not limit this.

[0044] It should be understood that Figure 1 The number of terminals, networks, and servers shown is only illustrative; the number can be any number of terminals, networks, and servers depending on the implementation requirements.

[0045] Please see Figure 2 , Figure 2 This is a flowchart illustrating a wind power distribution control method provided in an embodiment of this application. The execution entity in this embodiment can be an electronic device performing wind power distribution control, a processor within an electronic device performing the wind power distribution control method, or a wind power distribution control service within an electronic device performing the wind power distribution control method. For ease of description, the following uses a processor within an electronic device as an example to illustrate the specific execution process of the wind power distribution control method.

[0046] like Figure 2 As shown, the wind power distribution control method may include at least:

[0047] S201. Divide the regional wind storage system into domain-level control units and group-level control units. Each domain-level control unit contains at least one group-level control unit.

[0048] Specifically, when facing large-scale wind power grid connection, conventional technologies often cannot address the power adjustment needs of every wind farm. To ensure that dispatching methods reach every wind farm simultaneously, large-scale wind power grid connection can be divided into "domains" and their constituent "clusters." Based on the concepts of group control and domain control, the regional wind-storage system is divided into a region and its subordinate clusters. A collection of multiple power generation units within the same region is called a "cluster." All "clusters" are connected to the grid through aggregated output or unified dispatch, and these "clusters" transmit power to the upper-level grid at a certain voltage level. A collection of several geographically adjacent "clusters" sharing the same upper-level grid line or group of upper-level grid lines is defined as a "domain." The transmission lines connecting different "clusters" to the upper-level grid together form a power transmission line group. It should be noted that a domain-level control unit contains at least one cluster-level control unit.

[0049] S202. Construct a power transmission cross section based on the transmission line group of all group-level control units within the domain-level control unit, and calculate the total power margin of the power transmission cross section.

[0050] Specifically, due to the characteristics of wind power generation, when a wind power "cluster" transmits electricity to the upper-level grid, there may be situations where the transmitted power does not meet the requirements of the dispatch plan. In this case, there is a certain power margin in the power transmission cross-section, and the grid becomes unstable due to the power deficit. In order to stabilize the grid, the dispatch center will require each cluster to fill this power margin, so it is necessary to calculate the power margin and then further allocate power.

[0051] Furthermore, the transmission power required for the cross-section's scheduling is represented by P. s This indicates that the power generation of wind-storage clusters in different regions is represented by P. i Let i = 1 to n, then the cross-sectional margin at time t can be expressed as: in, The total power margin of the transmission cross section at time t. Let t be the transmission power of the cross section required for scheduling.

[0052] S203. Distribute the total power margin to the various group-level control units under the domain-level control unit.

[0053] Specifically, after calculating the total power margin, it needs to be allocated from the domain-level control unit to each group-level control unit. This allows each group-level control unit to participate in power output.

[0054] In one possible implementation, based on the specific normal distribution of the prediction errors of each group-level control unit, the realization probability density function that satisfies the scheduling requirements of each group-level control unit is calculated; based on the realization probability density function, the power margin allocation command for each group-level control unit is generated. In specific wind power generation scenarios, wind power generation depends on natural wind speed conditions, but natural wind speed is difficult to predict accurately and its changes are uncontrollable, which makes wind power generation random and uncertain. Specifically, when the actual wind speed deviates too much from the scheduling prediction value, the power generated by the wind farm will be far higher or lower than the planned value. This problem will increase the difficulty of power scheduling for the dispatch center, and on the other hand, the energy storage system may also be unable to compensate for the difference. Therefore, when allocating the total power margin of the power transmission section, the difference between the actual power generation value and the predicted value of each wind farm should be considered. Specifically, current wind power prediction systems can provide power prediction data at different time scales, and the prediction error basically conforms to a normal distribution. After collecting and analyzing these data, the probability density function of wind power prediction error can be obtained. Assume that at time t, the output prediction error of the i-th wind turbine is... Then the probability density function of its prediction error can be denoted as: Since its error basically conforms to a normal distribution, we have:

[0055] In the formula, The standard deviation of the prediction error probability for the i-th wind farm at time t is represented, and it is usually calculated from historical data of the wind farm. This represents the expected value of the prediction error for the i-th wind farm at time t, typically... , Let be the predicted active power of the i-th wind farm at time t for the next time. Based on the above formula, the probability density function of the wind farm output prediction error can be plotted. For example... Figure 3 As shown, Figure 3 This application provides a probability density function diagram of wind farm output prediction error in an embodiment. Further, the prediction error at time t is obtained. Its standard deviation of prediction error Next, the probability density function can be calculated:

[0056] The closer the output power of a wind farm is to the predicted value, the smaller the error, the larger the value of the probability density function, and the more accurate the predicted power.

[0057] In one possible implementation, an optimization function is constructed with the objective of maximizing the product of the output realization probabilities of all group-level control units. Based on the optimization function and the realization probability density function, the power margin allocation command for each group-level control unit is obtained. Due to the aforementioned issues, when allocating the total power margin of the power transmission cross-section, the difference between the actual power generation value and the predicted value of each wind farm should be considered. This ensures that each wind farm, while meeting power generation requirements, maximizes its output probability. A reasonable allocation of the power margin ensures that, after the total power margin allocation of the power transmission cross-section, the probability of the total output command for each wind farm in each group-level control unit is maximized; that is, the product of the output realization probabilities of each wind farm in each group-level control unit is maximized. Therefore, the product of the probabilities that the output of all wind farms requiring scheduling reaches the scheduling command at time t is:

[0058] It should be noted that when the output power of a wind farm is higher than the dispatch value, the output must be reduced. Therefore, this application only considers the case where the output power of the wind farm does not reach the dispatch value.

[0059] In one possible implementation, a power upper limit value is set for the power transmission cross-section, and an upper limit constraint is established based on this value. Based on this constraint, the total power margin is allocated to each group-level control unit under the domain-level control unit. To limit the power upper limit of the power transmission cross-section and prevent potential line problems or other issues due to reaching the power limit, a power upper limit value can be set for the power transmission cross-section. An upper limit constraint is established based on this value, and the total power margin is allocated to each group-level control unit under the domain-level control unit. This method ensures that when allocating the power margin, the transmission lines of each wind farm will not exceed the limited upper limit value, preventing other dangerous problems.

[0060] S204. Based on the power compensation performed by the energy storage power station, the total output power of each group-level control unit is matched with the allocated power margin.

[0061] Specifically, the randomness and volatility of natural wind can cause wind farm output to deviate significantly from the planned value. To reduce the error, the energy storage system equipped in the wind farm needs to perform real-time power compensation to ensure that the total output power of each group-level control unit and the allocated power margin are consistent, thereby controlling the output power of each wind farm.

[0062] Alternatively, since the output power of a wind farm is highly susceptible to changes in the surrounding weather, when encountering extreme and sudden weather, the output power of the wind farm may deviate significantly from the planned power generation value at a certain moment. In this case, even if the energy storage system performs charging and discharging actions, it will not be able to make up for this difference, so the energy storage system will not perform any compensation actions.

[0063] In one possible implementation, the energy storage power station calculates its optimal output power based on the scheduling plan tracking component and the fluctuation smoothing component; based on the optimal output power, the total output power of each group-level control unit is matched with the allocated power margin. Specifically, this method includes a wind-storage joint simulation system, which is a comprehensive simulation platform for simulating the coordinated operation of wind farms and energy storage systems. Through computer modeling and simulation technology, it studies the dynamic characteristics, control strategies, and impact on the power grid of the wind-storage joint system. The total output power P of the system... out The output power P of the wind turbine group wind and the output power P of energy storage ESS composition:

[0064] In this system, the power output is positive during discharge and negative during charging. Wind turbines typically consist of either doubly-fed induction generators (DFIGs) or direct-drive turbines. The energy storage power station is primarily responsible for mitigating wind power fluctuations caused by wind speed deviations from dispatch forecasts and for tracking the dispatch plan curve. Considering both scenarios, the output power of the energy storage power station can be expressed as:

[0065] Where: P ESS1 P represents the output power of energy storage compensation that tracks the scheduling plan curve. ESS2 P represents the output power of energy storage compensation for smoothing wind power fluctuations. plan P represents the power value of the scheduling plan curve. windc This indicates the operating capacity of the wind turbine group. P represents the system tracking power error value allowed by the dispatching system. tag This indicates the permitted grid-connected wind power value.

[0066] The State of Charge (SOC) of an energy storage power station and its equivalent output power P batt The relationship between them can be represented as:

[0067] In the formula: SOC(t) and SOC(t+Δt) represent the state of charge of the stored energy at this moment and the next moment, respectively, and E nom Indicates the rated capacity of the energy storage system. This represents the self-discharge efficiency, a factor that needs to be considered when the system is in a long-term energy storage state. F represents the charge / discharge efficiency. dis and F char These indicate whether the energy storage system is in a discharging or charging state, respectively.

[0068] Evaluation Indicators: The primary goal of an energy storage power station is to track the power generation plan curve. When the wind farm's output power deviates from the planned power generation value, the energy storage power station adjusts the total output of the wind-storage system in a timely manner through charging and discharging, so that the total output power can approach the planned power generation value. Based on the above principle, at time t, the error between the output power of the wind-storage power station and the planned power generation curve is: The smaller this difference, the better. To reasonably evaluate the error value of wind farms with different installed capacities, it is necessary to consider the installed capacity P... windc Taking this into account, the grid connection evaluation indicators at time t and throughout the entire time period can be expressed as:

[0069] In the formula: A plan (t) represents the accuracy of wind and energy storage grid connection at time t. The higher this value, the better the wind and energy storage track the power generation plan curve at time t; B plan The accuracy rate of wind and energy storage grid connection during the total assessment period is used to evaluate the accuracy of wind and energy storage tracking the power generation plan curve throughout the entire period; N is the number of evaluation points throughout the entire period.

[0070] To more intuitively describe the deviation of wind farm power generation from the planned power generation curve within a specified time period, an evaluation index for grid connection dispatch qualification rate is established:

[0071] In the formula: C plan This indicates the grid connection qualification rate of wind-storage power stations over the total time period. The larger this value, the greater the role of energy storage in tracking the power generation plan curve, and the fewer sudden weather events in the area where the wind-storage power station is located. Conversely, the smaller this value, the smaller the role of energy storage in tracking the power generation plan curve, and the more sudden weather events in the area where the wind-storage power station is located. This indicates whether the wind-storage power station has tracked the power generation plan curve within the allowable error range at time t.

[0072] In one possible implementation, an energy storage lifetime optimization objective is established based on the state of charge (SBC) of the energy storage power station. The optimal output power of the energy storage power station is calculated based on the scheduling plan tracking component, fluctuation smoothing component, and the energy storage lifetime optimization objective. Specifically, due to the high cost of energy storage systems, while satisfying the auxiliary wind farm's tracking power generation plan curve, it is necessary to extend the lifespan of the energy storage batteries as much as possible and rationally plan the number of charge-discharge cycles of the energy storage system. Typically, one charge-discharge cycle refers to the energy storage system completing one full deep discharge (DOD) cycle. When the charge-discharge depth is inconsistent, the equivalent number of cycles can be obtained by accumulating the discharge amount.

[0073] In the formula ESS life This indicates the lifespan percentage, representing the cycle life (ESS) of a battery at a given percentage of its charge / discharge depth compared to its full charge / discharge cycle life (ESS) under full charge / discharge conditions. life The factor is k, where k is a material-related constant, typically ranging from 1.5 to 2.5. This allows us to quantify the relationship between battery life and depth of discharge. From the above formula, it can be seen that, given a fixed material, battery life can be extended by rationally controlling the depth of discharge (DOD) of the energy storage system.

[0074] Since energy storage operations are irregular in real-world scenarios, the cumulative throughput is used to measure the depth of charge and discharge, and this is used to estimate the energy storage lifetime.

[0075] In the formula E sum Indicates cumulative throughput. and These indicate the charging and discharging indicators, respectively.

[0076] Based on the above evaluation indicators, a multi-objective function is established: First, the responsibility of the energy storage system is to improve the grid connection tracking accuracy of the wind storage system. The objective function is as follows:

[0077] In the formula, a1 and b1 are two constants. It is the objective function that measures the degree to which the grid-connected power deviates from the power generation plan. If the output power of the wind-storage system is within the allowable error range, then... The greater the deviation, the equals 0. The larger the value, the greater. Therefore The smaller the value, the better the effect of energy storage in tracking the power generation plan curve.

[0078] Based on this, an objective function related to a single charge-discharge cycle is established:

[0079] During a single charge and discharge cycle, the smaller the equivalent power output of the energy storage power station, the better. The smaller the value, the smaller the impact of energy storage charging and discharging on the total lifetime within the time scale T.

[0080] In one possible implementation, based on the state of the energy storage battery, the operating range of the energy storage power station is divided into an over-discharge zone, a discharge warning zone, a high-efficiency operating zone, a charging warning zone, and an overcharge zone. When the operating range deviates from the high-efficiency operating zone, the depth of charge and discharge is constrained based on the degree of deviation. Specifically, to further extend the lifespan of the energy storage power station, considering the function of the cumulative discharge amount equivalent to the number of cycles, it is known that, while satisfying the tracking power generation plan curve, overcharging and over-discharging of the energy storage battery should be avoided as much as possible, and the state of charge (SOC) of the energy storage battery should be maintained within a reasonable range. The SOC state of the energy storage battery can be divided into five regions: over-discharge zone... Discharge warning zone High-efficiency operating area of ​​energy storage battery Charging warning zone and overcharge zone .

[0081] The objective function for the State of Charge (SOC) of an energy storage battery needs to be established by dividing it into charging and discharging states, and evaluating the five regions mentioned above. The evaluation principle is that the smaller the objective function is when the SOC is close to or within the high-efficiency operating region, and the larger the objective function is when the SOC is far from these regions. That is, the magnitude of the objective function value is positively correlated with the degree to which the SOC deviates from the high-efficiency operating region. To extend the service life of the energy storage battery, it is necessary to ensure that the energy storage follows the planned curve while minimizing this objective function as much as possible. The following function is established:

[0082] Based on the above multi-objective function, the relevant multi-objective optimization model is established as follows:

[0083] That is, in satisfying At the same time, the value is minimized. The value is the largest.

[0084] Finally, based on the above control function and evaluation index, the following constraints are established:

[0085] In the formula, P s max Indicates the upper limit of power transmission across the cross section. Let represent the power difference between the i-th wind-storage power station and the dispatch value at time t, and represent the section margin of the i-th wind-storage power station. It is the predicted active power value of the i-th wind-storage power station at time t, and the value at the next time step. It is the rated output power of the i-th wind-storage power station.

[0086] Based on this constraint, the energy storage system can distribute its output power to the wind farms in the cluster while ensuring its own lifespan, thereby making reasonable allocation of the total power margin of the power transmission cross section.

[0087] This application provides a wind power distribution control method. First, the total power margin of the total power transmission cross section of a "domain" is obtained. Then, the power margin is reasonably allocated to each "group" of wind-storage power stations. After the domain control process is completed, the group control process requires the energy storage system to compensate for the power. At this time, the energy storage control method is optimized so that the lifespan of the energy storage system is extended while compensating for the power. At the same time, the total power margin of the power transmission cross section is reasonably allocated, and the scheduling is allocated to each wind farm through the "domain control and group control" method, which improves the stability and economy of wind power grid connection.

[0088] Please see Figure 4 , Figure 4 This is a structural block diagram of a wind power distribution control device provided in an embodiment of this application. Figure 4 As shown, the wind power distribution control device 400 includes: a partitioning module 410, a calculation module 420, an allocation module 430, and an execution module 440. Wherein:

[0089] The partitioning module 410 is used to divide the regional wind storage system into domain-level control units and group-level control units, wherein the domain-level control unit contains at least one group-level control unit.

[0090] The calculation module 420 is used to construct the power transmission cross section based on the transmission line group of all group-level control units within the domain-level control unit, and to calculate the total power margin of the power transmission cross section.

[0091] The allocation module 430 is used to allocate the total power margin to each group-level control unit under the domain-level control unit;

[0092] The execution module 440 is used to perform power compensation based on the energy storage power station, so that the total output power of each group-level control unit matches the allocated power margin.

[0093] In some possible embodiments, the allocation module 430 is further configured to calculate the realization probability density function that satisfies the scheduling requirements of each group-level control unit based on the normal distribution of the prediction error of each group-level control unit; and generate power margin allocation instructions for each group-level control unit based on the realization probability density function.

[0094] In some possible embodiments, the allocation module 430 is further configured to construct an optimization function with the objective of maximizing the product of the output realization probabilities of all group-level control units; and to obtain power margin allocation instructions for each group-level control unit based on the optimization function and the realization probability density function.

[0095] In some possible embodiments, the execution module 440 is used to calculate the optimal output power of the energy storage power station based on the scheduling plan tracking component and the fluctuation smoothing component; and based on the optimal output power, to match the total output power of each group-level control unit with the allocated power margin.

[0096] In some possible embodiments, the execution module 440 is used to establish an energy storage lifetime optimization target based on the state of charge of the energy storage power station;

[0097] Based on the scheduling plan tracking component, fluctuation smoothing component, and energy storage lifetime optimization objective, the optimal output power of the energy storage power station is calculated.

[0098] In some possible embodiments, the execution module 440 is used to divide the working range of the energy storage power station into an over-discharge zone, a discharge warning zone, an efficient working zone, a charging warning zone, and an overcharge zone based on the state of the energy storage battery of the energy storage power station; when the working range deviates from the efficient working zone, the depth of charge and discharge is constrained based on the degree of deviation.

[0099] In some possible embodiments, the allocation module 430 is used to set the upper limit value of the power transmission cross section, establish an upper limit constraint based on the upper limit value, and allocate the total power margin to each group-level control unit under the domain-level control unit based on the upper limit constraint.

[0100] It should be noted that the wind power distribution control device provided in the above embodiments is only illustrated by the division of the above functional modules when executing the wind power distribution control method. In practical applications, the above functional allocation can be completed by different functional modules as needed, that is, the internal structure of the equipment can be divided into different functional modules to complete all or part of the functions described above. In addition, the wind power distribution control device and the wind power distribution control method embodiments provided in the above embodiments belong to the same concept, and the implementation process is detailed in the method embodiments, which will not be repeated here.

[0101] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0102] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 5 As shown, the electronic device 500 may include: at least one processor 501, at least one network interface 504, user interface 503, memory 505, and at least one communication bus 502.

[0103] The communication bus 502 is used to enable communication between these components.

[0104] The user interface 503 may include a display screen, and the optional user interface 503 may include a standard wired interface or a wireless interface.

[0105] The network interface 504 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0106] The processor 501 may include one or more processing cores. The processor 501 connects to various parts within the electronic device 500 using various interfaces and lines, and performs various functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 505, and by calling data stored in the memory 505. Optionally, the processor 501 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 501 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also be implemented as a separate chip without being integrated into the processor 501.

[0107] The memory 505 may include random access memory (RAM) or read-only memory. Optionally, the memory 505 may include a non-transitory computer-readable storage medium. The memory 505 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 505 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 505 may also be at least one storage device located remotely from the aforementioned processor 501. Figure 5 As shown, the memory 505, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a wind power distribution control application.

[0108] exist Figure 5 In the illustrated electronic device 500, the user interface 503 is mainly used to provide an input interface for the user and to acquire user input data; while the processor 501 can be used to call the driving wind power distribution control application stored in the memory 505 and specifically perform the following operations:

[0109] The regional wind-storage system is divided into domain-level control units and group-level control units. Each domain-level control unit contains at least one group-level control unit. A power transmission cross-section is constructed based on the transmission line group of all group-level control units within the domain-level control unit, and the total power margin of the power transmission cross-section is calculated. The total power margin is allocated to each group-level control unit under the domain-level control unit. Power compensation is performed based on the energy storage power station to match the total output power of each group-level control unit with the allocated power margin.

[0110] In some possible embodiments, before the processor 501 executes the allocation of total power margin to each group-level control unit under the domain-level control unit, it is also configured to: calculate the implementation probability density function that satisfies the scheduling requirements of each group-level control unit based on the normal distribution of the prediction error of each group-level control unit; and generate power margin allocation instructions for each group-level control unit based on the implementation probability density function.

[0111] In some possible embodiments, processor 501 executes power margin allocation instructions for each group-level control unit based on the implementation probability density function. Specifically, it executes an optimization function aimed at maximizing the product of the output implementation probabilities of all group-level control units; and obtains the power margin allocation instructions for each group-level control unit based on the optimization function and the implementation probability density function.

[0112] In some possible embodiments, the processor 501 performs power compensation based on the energy storage power station to match the total output power of each group-level control unit with the allocated power margin. Specifically, it performs the calculation of the optimal output power of the energy storage power station based on the scheduling plan tracking component and the fluctuation smoothing component; and based on the optimal output power, matches the total output power of each group-level control unit with the allocated power margin.

[0113] In some possible embodiments, the processor 501 executes the calculation of the output power of the energy storage power station based on the scheduling plan tracking component and the fluctuation smoothing component. Specifically, it is used to execute the establishment of an energy storage lifetime optimization target based on the state of charge of the energy storage power station; and to calculate the optimal output power of the energy storage power station based on the scheduling plan tracking component, the fluctuation smoothing component and the energy storage lifetime optimization target.

[0114] In some possible embodiments, the processor 501 executes the state of charge based on the energy storage power station and establishes an energy storage lifetime optimization target. Specifically, it executes the energy storage battery state based on the energy storage power station and divides the working range of the energy storage power station into an over-discharge zone, a discharge warning zone, an efficient working zone, a charging warning zone, and an overcharge zone. When the working range deviates from the efficient working zone, the depth of charge and discharge is constrained based on the degree of deviation.

[0115] In some possible embodiments, the processor 501 performs the allocation of total power margin to each group-level control unit under the domain-level control unit, specifically by setting a power upper limit value for the power transmission cross section, establishing an upper limit constraint based on the power upper limit value, and allocating the total power margin to each group-level control unit under the domain-level control unit based on the upper limit constraint.

[0116] This application also provides a computer-readable storage medium storing instructions that, when executed on a computer or processor, cause the computer or processor to perform the above-described instructions. Figure 2 One or more steps in the illustrated embodiment. If the constituent modules of the above-described wind power distribution control device are implemented as software functional units and sold or used as independent products, they can be stored in the computer-readable storage medium.

[0117] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., digital versatile discs (DVDs)), or semiconductor media (e.g., solid state disks (SSDs)).

[0118] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The aforementioned storage medium includes various media capable of storing program code, such as Read Only Memory (ROM), Random Access Memory (RAM), magnetic disks, or optical disks. Unless otherwise specified, the technical features of this embodiment and its implementation schemes can be combined arbitrarily.

[0119] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A wind power distribution control method, characterized in that, The method includes: The regional wind storage system is divided into domain-level control units and group-level control units, wherein the domain-level control unit contains at least one group-level control unit. Based on the transmission line group of all group-level control units within the domain-level control unit, construct the power transmission cross section and calculate the total power margin of the power transmission cross section; The total power margin is allocated to each group-level control unit under the domain-level control unit; Based on the power compensation performed by the energy storage power station, the total output power of each group-level control unit is matched with the allocated power margin.

2. The method as described in claim 1, characterized in that, Before allocating the total power margin to the various group-level control units under the domain-level control unit, the method further includes: Based on the normal distribution characteristics of the prediction errors of each group-level control unit, the probability density function for achieving the scheduling requirements of each group-level control unit is calculated. Based on the aforementioned probability density function, power margin allocation instructions are generated for each group-level control unit.

3. The method as described in claim 2, characterized in that, The step of generating power margin allocation instructions for each group-level control unit based on the implemented probability density function includes: An optimization function is constructed with the objective of maximizing the product of the probabilities of output realization of all group-level control units. The power margin allocation instructions for each group-level control unit are obtained based on the optimization function and the implementation probability density function.

4. The method as described in claim 2, characterized in that, The power compensation based on the energy storage power station, which matches the total output power of each group-level control unit with the allocated power margin, includes: The energy storage power station calculates its optimal output power based on the scheduling plan tracking component and the fluctuation smoothing component. Based on the optimal output power, the total output power of each group-level control unit is matched with the allocated power margin.

5. The method as described in claim 4, characterized in that, The calculation of the power output of the energy storage power station based on the scheduling plan tracking component and the fluctuation smoothing component includes: Based on the state of charge of the energy storage power station, an energy storage lifetime optimization target is established; Based on the scheduling plan tracking component, the fluctuation smoothing component, and the energy storage lifetime optimization objective, the optimal output power of the energy storage power station is calculated.

6. The method as described in claim 5, characterized in that, The establishment of energy storage lifetime optimization targets based on the state of charge of the energy storage power station includes: Based on the state of the energy storage battery in the energy storage power station, the working range of the energy storage power station is divided into an over-discharge zone, a discharge warning zone, a high-efficiency working zone, a charging warning zone, and an overcharge zone. When the working range deviates from the high-efficiency working range, the depth of charge and discharge is constrained based on the degree of deviation.

7. The method as described in claim 1, characterized in that, The process of allocating the total power margin to the various group-level control units under the domain-level control unit includes: Set an upper limit value for the power transmission cross section, and establish an upper limit constraint based on the upper limit value; Based on the upper limit constraint, the total power margin is allocated to each group-level control unit under the domain-level control unit.

8. A wind power distribution control device, characterized in that, The device includes: A partitioning module is used to divide the regional wind storage system into domain-level control units and group-level control units, wherein the domain-level control unit includes at least one group-level control unit. The calculation module is used to construct a power transmission cross section based on the transmission line group of all group-level control units within the domain-level control unit, and to calculate the total power margin of the power transmission cross section. The allocation module is used to allocate the total power margin to each group-level control unit under the domain-level control unit; The execution module is used to perform power compensation based on the energy storage power station, so that the total output power of each group-level control unit matches the allocated power margin.

9. A computer storage medium, characterized in that, The computer storage medium stores a plurality of instructions adapted for loading by a processor and executing the steps of the method as described in any one of claims 1 to 7.

10. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method as described in any one of claims 1 to 7.

Images