Management system of new energy power station

Abstract

The invention provides a new energy power station management system, which comprises a dual power supply module, an energy management module, an energy recovery module and a power supply switching module, and is characterized in that the dual power supply module is used for obtaining state information of a power supply and sending a power supply switching instruction to the power supply switching module according to the state information, and the power supply comprises a main power supply and an auxiliary power supply; the energy management module is used for acquiring an operation mode and an energy demand prediction result of the new energy power station, and determining an energy supply strategy of the new energy power station based on the operation mode and the energy demand prediction result; the energy recovery module is used for obtaining recoverable energy generated in the operation process of the new energy power station and storing the recoverable energy into a battery according to an optimal storage strategy; the power supply switching module is used for receiving the power supply switching instruction and executing switching operation between the main power supply and the auxiliary power supply according to the power supply switching instruction, seamless switching of the main power supply and the auxiliary power supply can be achieved, the interest rate of energy is increased, and stable operation of the new energy power station is ensured.

Description

Technical Field

[0001] The present application relates to the technical field of new energy power stations, and in particular to a management system of new energy power stations. Background Art

[0002] As a green and clean energy supply method, new energy power stations have been widely used around the world. However, new energy power generation equipment is intermittent and unstable, and the power supply capacity is affected by multiple factors such as weather and seasons, which brings challenges to the stable power supply of new energy power stations.

[0003] Traditional new energy power stations usually rely on only a single new energy power generation equipment (main power supply) as a power supply source. When the main power supply fails or the supply is unstable, it often leads to production interruptions, affecting the stable operation of the power station and even seriously affecting the continuity and stability of industrial production. At the same time, traditional energy management methods cannot achieve the optimal configuration and utilization of energy, resulting in low energy utilization efficiency. Summary of the invention

[0004] The present application proposes a management system for a new energy power station, aiming to solve the problem in the above-mentioned prior art that the new energy power station cannot achieve seamless switching between the main power supply and the auxiliary power supply, resulting in unstable operation of the new energy power station and low energy utilization efficiency.

[0005] To achieve the above-mentioned purpose, the first aspect of the present application proposes a management system for a new energy power station, including a dual power module, an energy management module, an energy recovery module and a power switching module, wherein the dual power module is used to obtain the status information of the power supply, and send a power switching instruction to the power switching module according to the status information, wherein the power supply includes a main power supply and an auxiliary power supply, and the main power supply and the auxiliary power supply are used to provide electric energy to the new energy power station; the energy management module is used to obtain the operating mode and energy demand forecast results of the new energy power station, and determine the energy supply strategy of the new energy power station based on the operating mode and the energy demand forecast results; the energy recovery module is used to obtain the recoverable energy generated during the operation of the new energy power station, and store the recoverable energy in the battery according to the optimal storage strategy; the power switching module is used to receive the power switching instruction, and execute the switching operation between the main power supply and the auxiliary power supply according to the power switching instruction.

[0006] Furthermore, the dual power supply module includes a power supply monitoring submodule, a first power supply fault diagnosis submodule and a second power supply fault diagnosis submodule, wherein the power supply monitoring submodule is used to obtain first status information of the main power supply and second status information of the auxiliary power supply; the first power supply diagnosis submodule is used to determine that the main power supply is in a fault state based on the first status information and that the auxiliary power supply is in a normal state based on the second status information, generate a first power supply switching instruction, and send the first power supply switching instruction to the power supply switching module, wherein the first power supply switching instruction is used to switch the main power supply to the auxiliary power supply; the second power supply diagnosis submodule is used to determine that the main power supply recovers from a fault state to a normal state and satisfies a preset power supply state condition, generate a second power supply switching instruction, and send the second power supply switching instruction to the power supply switching module, wherein the second power supply switching instruction is used to switch the auxiliary power supply to the main power supply.

[0007] Furthermore, the energy management module includes an operation mode determination submodule, an energy demand prediction submodule and an energy supply strategy determination submodule, wherein the operation mode determination submodule is used to obtain the operation mode of the new energy power station; the energy demand prediction submodule is used to obtain the energy demand prediction result of the new energy power station within the prediction period; the energy supply strategy determination submodule is used to determine the energy supply strategy of the new energy power station based on the operation mode and the energy demand prediction result.

[0008] Furthermore, the method of obtaining the operating mode of the new energy power station includes: obtaining a sample data set of the new energy power station; obtaining a preset clustering value K, and randomly selecting K sample data from the sample data set as cluster centers, wherein K is a positive integer; obtaining the Euclidean distance between each sample data and each cluster center in the sample data set, and assigning each sample data to the cluster to which the nearest cluster center belongs according to the minimum Euclidean distance principle to obtain an initial clustering result; according to the initial clustering result, determining the mean of all sample data in each cluster, using the mean as the updated cluster center, and repeating the above steps until the cluster center meets the preset end condition to obtain the optimal clustering result; based on the optimal clustering result, obtaining the operating mode of the new energy power station.

[0009] Furthermore, the method of obtaining the energy demand forecast result within the time period to be predicted includes: obtaining historical energy demand time series data, and preprocessing the historical energy demand time series data to obtain target historical energy demand time series data; training an initial autoregressive integrated moving average ARIMA model according to the target historical energy demand time series data to obtain a converged ARIMA model; and inputting the time period to be predicted into the ARIMA model to output the energy demand forecast result within the time period to be predicted.

[0010] Furthermore, the energy supply strategy of the new energy power station is determined based on the operating mode and the energy demand forecast result, including: obtaining the supply of the ith energy based on the operating mode and the energy demand forecast result, and constructing an objective function with the minimum cost as the goal, wherein i is a positive integer; constructing constraints according to the minimum supply and maximum supply of the ith energy, inputting the supply of the ith energy into the objective function, solving the objective function under the constraints to obtain the target supply of the ith energy; and obtaining the energy supply strategy of the new energy power station based on the target supply of the ith energy.

[0011] Furthermore, the energy recovery module includes a data acquisition submodule and an energy storage module, wherein the data acquisition submodule is used to acquire the operating data of the new energy power station and the battery operating data; the energy storage module is used to determine the optimal storage strategy based on the operating data of the new energy power station and the battery operating data, control the recoverable energy value and the rate value according to the optimal storage strategy, and based on the state parameters and health status of the battery, perform the operation of storing the recoverable energy value in the battery.

[0012] Furthermore, the operation of storing the recoverable energy value in the battery based on the state parameters and health status of the battery includes: in response to the state parameters and the health status failing to meet the preset warning conditions, the operation of storing the recoverable energy value in the battery is performed; or, in response to the state parameters and / or the health status meeting the preset warning conditions, the operation of storing the recoverable energy value in the battery is stopped.

[0013] Further, the power switching module includes a first power switching sub-module and a second power switching sub-module, wherein the first power switching sub-module is used to respond to receiving the first power switching instruction and switch the main power supply to the main power supply according to the first power switching instruction; the second power switching sub-module is used to respond to receiving the second power switching instruction and switch the auxiliary power supply to the main power supply according to the second power switching instruction.

[0014] Furthermore, the system also includes a display module, wherein the display module is used to display various information in the management system and generate a warning prompt when the management system meets the preset warning conditions.

[0015] The beneficial effects of the management system of a new energy power station provided in the present application include: being able to achieve seamless switching between the main power supply and the auxiliary power supply, ensuring the continuity and stability of the power supply of the new energy power station, and through the energy management module, being able to predict energy demand and determine energy supply strategies, effectively improving energy utilization and environmental protection.

[0016] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0018] Figure 1 This is a module diagram of a management system of a new energy power station in an embodiment of the present application.

[0019] Figure 2 This is a module schematic diagram of a dual power supply module in a management system of a new energy power station according to an embodiment of the present application.

[0020] Figure 3 This is a module schematic diagram of an energy management module in a management system of a new energy power station according to an embodiment of the present application.

[0021] Figure 4 This is a module schematic diagram of an energy recovery module in a management system of a new energy power station according to an embodiment of the present application.

[0022] Figure 5 This is a module schematic diagram of a power switching module in a management system of a new energy power station according to an embodiment of the present application.

[0023] Figure 6 This is a module diagram of another management system of a new energy power station in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0025] Figure 1It is a structural diagram of a management system of a new energy power station provided in an embodiment of the present application.

[0026] like Figure 1 As shown, the management system 1000 of the new energy power station may include: a dual power module 100 , an energy management module 200 , an energy recovery module 300 and a power switching module 400 .

[0027] Among them, the dual power supply module 100 is used to obtain the status information of the power supply and send a power switching instruction to the power supply switching module according to the status information, wherein the power supply includes a main power supply and an auxiliary power supply, and the main power supply and the auxiliary power supply are used to provide electric energy to the new energy power station.

[0028] It should be noted that the present application does not limit the specific method for obtaining the power status information, which can be selected according to actual conditions.

[0029] Optionally, the status information of the power sources (main power source and auxiliary power source) may be acquired based on high-precision sensors.

[0030] It should be noted that the power supply status information includes but is not limited to voltage, current, temperature and other status information.

[0031] In the embodiment of the present application, after the status information of the power source is obtained, a power switching instruction can be sent to the power switching module according to the status information to achieve seamless switching between power sources.

[0032] For example, based on the power status information, it is determined that the main power supply is in a fault state and the auxiliary power supply is in a normal state, then a first power switching instruction is generated and sent to the power switching module. The first power switching instruction is used to switch the main power supply to the auxiliary power supply.

[0033] The energy management module 200 is used to obtain the operation mode and energy demand forecast results of the new energy power station, and determine the energy supply strategy of the new energy power station based on the operation mode and energy demand forecast results.

[0034] It should be noted that data of different energy types of new energy power stations can be collected in real time through sensors and instrument devices, the K-Means clustering algorithm can be applied to identify the operation mode of the new energy power station, and the autoregressive integrated moving average model can be iteratively trained according to the historical energy demand time series data to obtain a converged autoregressive integrated moving average model, and future energy demand can be predicted based on the converged autoregressive integrated moving average model. Accordingly, the energy supply strategy of the new energy power station can be adjusted and determined in advance based on the operation mode and energy demand prediction results.

[0035] Among them, the energy recovery module 300 is used to obtain the recoverable energy generated during the operation of the new energy power station, and store the recoverable energy in the battery according to the optimal storage strategy.

[0036] It should be noted that the operating data of the new energy power station, such as the rotation speed and acceleration during braking and deceleration operations, can be obtained, and the operating data of the battery such as the charging status, temperature and health status provided by the battery management system can be obtained. According to the operating data of the new energy power station and the battery operating data, the optimal storage strategy is determined, and the generator is controlled to convert the mechanical energy generated by the new energy power station during braking and deceleration operations into electrical energy, and the recoverable energy value and rate value are accurately controlled by adjusting the load according to the optimal storage strategy, the recoverable energy value and rate value are controlled according to the optimal storage strategy, and based on the battery status information, the operation of storing the recoverable energy value in the battery is performed.

[0037] The power switching module 400 is used to receive a power switching instruction and execute a switching operation between the main power source and the auxiliary power source according to the power switching instruction.

[0038] In an embodiment of the present application, the power switching module can receive a power switching instruction, and execute a switching operation between the main power supply and the auxiliary power supply according to the power switching instruction, to achieve seamless switching between the main power supply and the auxiliary power supply, for example: switching the main power supply to the auxiliary power supply, and switching the auxiliary power supply to the main power supply, to ensure uninterrupted power supply to the new energy power station.

[0039] The present application proposes a management system for a new energy power station, comprising a dual power module, an energy management module, an energy recovery module and a power switching module, wherein the dual power module is used to obtain power status information and send a power switching instruction to the power switching module according to the status information, wherein the power includes a main power supply and an auxiliary power supply, the main power supply and the auxiliary power supply are used to provide electric energy to the new energy power station, the energy management module is used to obtain the operation mode and energy demand prediction results of the new energy power station, and determine the energy supply strategy of the new energy power station based on the operation mode and energy demand prediction results, the energy recovery module is used to obtain the recoverable energy generated during the operation of the new energy power station, and store the recoverable energy in the battery according to the optimal storage strategy, the power switching module is used to receive the power switching instruction and execute the switching operation between the main power supply and the auxiliary power supply according to the power switching instruction. The management system of the new energy power station provided by the present application can realize seamless switching between the main power supply and the auxiliary power supply, ensure the continuity and stability of the power supply of the new energy power station, and can predict energy demand and determine energy supply strategy through the energy management module, effectively improving the utilization rate and environmental protection of energy.

[0040] In the implementation of this application, if Figure 2As shown, the dual power supply module 100 includes a power supply monitoring submodule 10 , a first power supply fault diagnosis submodule 11 and a second power supply fault diagnosis submodule 12 .

[0041] The power monitoring submodule 10 is used to obtain first status information of the main power supply and second status information of the auxiliary power supply.

[0042] It should be noted that the first state information of the main power supply may include the voltage V1(t), current I1(t) and temperature T1(t) of the main power supply at time t, and the second state information of the auxiliary power supply may include the voltage V2(t), current I2(t) and temperature T2(t) of the auxiliary power supply at time t.

[0043] Among them, the first power supply diagnosis submodule 11 is used to determine that the main power supply is in a fault state based on the first status information and that the auxiliary power supply is in a normal state based on the second status information, generate a first power supply switching instruction, and send the first power supply switching instruction to the power supply switching module, wherein the first power supply switching instruction is used to switch the main power supply to the auxiliary power supply.

[0044] It should be noted that the present application can pre-set the corresponding main power supply threshold according to the specification information of the main power supply and pre-set the corresponding auxiliary power supply threshold according to the specification information of the auxiliary power supply. According to the first status information of the main power supply and the main power supply threshold, it can be determined whether the main power supply is in a fault state, and according to the second status information of the auxiliary power supply and the auxiliary power supply threshold, it can be determined whether the auxiliary power supply is in a fault state.

[0045] It should be noted that the main power supply threshold includes: the minimum main power supply voltage V1min, the maximum main power supply voltage V1max, the minimum main power supply current I1min, the maximum main power supply current I1max and the maximum main power supply temperature T1max; the auxiliary power supply threshold includes: the minimum auxiliary power supply voltage V2min, the maximum auxiliary power supply voltage V2max, the minimum auxiliary power supply current I2min, the maximum auxiliary power supply current I2max and the maximum auxiliary power supply temperature T2max.

[0046] For example, when V1(t)<V1min、V1(t)> V1max、I1(t)<I1min、I1(t)> If I1max, T1(t)>T1max, the main power supply is judged to be in a fault state. If V1(t) is not satisfied,<V1min、V1(t)> V1max、I1(t)<I1min、I1(t)> When all conditions of I1max, T1(t)>T1max are met, the main power supply is judged to be in normal state.

[0047] For example, when V2(t)<V2min、V2(t)> V2max, I2(t)<I2min、I2(t)> If I2max, T2(t)>T2max, the auxiliary power supply is judged to be in a fault state. If V2(t) is not satisfied,<V2min、V2(t)> V2max, I2(t)<I2min、I2(t)> When all conditions of I2max, T2(t)>T2max are met, the auxiliary power supply is judged to be in normal state.

[0048] It should be noted that after generating the first switching instruction, the voltage and frequency of the auxiliary power supply can be adjusted to match the output of the auxiliary power supply with the output of the main power supply. In the subsequent power switching process, the control strategy can be used to achieve a smooth transition of the load and avoid current shock.

[0049] Among them, the second power supply diagnosis submodule 12 is used to determine that the main power supply has recovered from a fault state to a normal state and meets the preset power supply state conditions, generate a second power supply switching instruction, and send the second power supply switching instruction to the power supply switching module, wherein the second power supply switching instruction is used to switch the auxiliary power supply to the main power supply.

[0050] It should be noted that when it is determined that the main power supply has recovered from a fault state to a normal state, and the main power supply meets the preset power supply state conditions, for example: the main power supply state can be compared with the auxiliary power supply state to obtain a state comparison result. If the comparison result indicates that the main power supply state is better than the auxiliary power supply state, the main power supply meets the preset power supply state conditions, and a second power supply switching instruction is generated.

[0051] In the implementation of this application, if Figure 3 As shown, the energy management module 200 includes an operation mode determination submodule 20 , an energy demand prediction submodule 21 and an energy supply strategy determination submodule 22 .

[0052] The operation mode determination submodule 20 is used to obtain the operation mode of the new energy power station.

[0053] In an embodiment of the present application, a sample data set of a new energy power station can be obtained, a preset clustering value K can be obtained, and K sample data can be randomly selected from the sample data set as clustering centers, where K is a positive integer. The Euclidean distance between each sample data and each clustering center in the sample data set is obtained, and each sample data is assigned to the cluster to which the nearest clustering center belongs according to the principle of minimum Euclidean distance to obtain an initial clustering result. According to the initial clustering result, the mean of all sample data in each cluster is determined, and the mean is used as the updated clustering center. The above steps are repeated until the clustering center meets the preset end condition to obtain the optimal clustering result. Based on the optimal clustering result, the operating mode of the new energy power station is obtained.

[0054] For example, the operation data of the new energy power station can be obtained and preprocessed. From the preprocessed operation data, the characteristic data of the change trend of power output and the rate of energy consumption are selected as the sample data set. The clustering value K can be determined based on the prior knowledge of the operation mode of the new energy power station, and K sample data points are randomly selected as the clustering center C = {c1, c2, ..., c K}, where each sample data point x can be calculated according to the Euclidean distance calculation formula i With each cluster center c j The Euclidean distance between the sample data points x i According to the principle of minimum Euclidean distance, the cluster to which the nearest cluster center belongs can be assigned. The mean of each cluster can be calculated according to the mean calculation formula, and the mean of each cluster is determined as the center of the cluster. The above steps are repeated until the cluster center no longer changes to obtain the optimal clustering result. Based on the optimal clustering result, the operating mode of the new energy power station is obtained, and the operating mode of the new energy power station represented by each cluster in the optimal clustering result is determined.

[0055] Among them, the Euclidean distance calculation formula is: d(x i ,c j ) is the sample data point x i With cluster center c j The Euclidean distance between il is the sample data point x i The coordinates in the lth dimension, c jl is the cluster center c j The coordinate in the lth dimension, k is the number of spatial dimensions.

[0056] The mean calculation formula is: c j is the cluster S j The cluster center point (mean), x i is the sample data point.

[0057] The energy demand prediction submodule 21 is used to obtain the energy demand prediction result of the new energy power station within the prediction period.

[0058] In an embodiment of the present application, historical energy demand time series data can be obtained and preprocessed to obtain target historical energy demand time series data. An initial autoregressive integrated moving average (ARIMA) model is trained based on the target historical energy demand time series data to obtain a converged ARIMA model. The time period to be predicted is input into the ARIMA model to output the energy demand prediction result within the time period to be predicted.

[0059] For example, historical energy demand time series data {y t}, t=1,2,…,T, check the stationarity of the historical energy demand time series data, perform differential operation (preprocessing) on ​​the historical energy demand time series data to obtain the target historical energy demand time series data, determine the three parameters in the ARIMA model, namely the autoregressive order p, the differential order d, and the moving average order q, and use the target historical energy demand time series data to train the ARIMA model. The general form of the ARIMA model is: in, is the autoregressive coefficient, θ j is the moving average coefficient, ∈ t is a white noise sequence, and the parameters can be estimated by the least squares method using the target historical energy demand time series data. and θ i The value of , input the verification data into the ARIMA model to get the predicted value With the actual value y t The error value is obtained by comparison, and the ARIMA model is tuned according to the error value until the model training end condition is met to obtain a converged ARIMA model. The forecast period h is input into the ARIMA model to output the energy demand forecast result within the forecast period.

[0060] The energy supply strategy determination submodule 22 is used to determine the energy supply strategy of the new energy power station based on the operation mode and the energy demand prediction result.

[0061] In an embodiment of the present application, the supply of the i-th energy can be obtained based on the operating mode and the energy demand forecast results, and an objective function is constructed with the minimum cost as the goal, wherein i is a positive integer, and constraints are constructed according to the minimum supply and maximum supply of the i-th energy. The supply of the i-th energy is input into the objective function, and the objective function is solved under the constraints to obtain the target supply of the i-th energy. Based on the target supply of the i-th energy, the energy supply strategy of the new energy power station is obtained.

[0062] For example, based on the operation mode and energy demand forecast results, the supply of the i-th energy source x is obtained. i , where i = 1, 2, ..., n, n is the number of energy types, and the objective function is defined by minimizing the cost. Then the objective function Among them, c i is the unit cost of the i-th energy source. The supply of each energy source has an upper limit, namely the maximum supply u i And the lower limit is the minimum supply l i , then the constraints include the upper limit constraint (x i ≤u i ) and the lower limit constraint (x i ≥l i ), solve the objective function under the constraints and obtain the target supply of the i-th energy source Based on the target supply of the i-th energy Develop energy supply strategies for new energy power stations.

[0063] It should be noted that after formulating the energy supply strategy of the new energy power station, the energy supply strategy can be sent to the new energy power station to perform energy allocation and control operations. At the same time, the performance of each module in the energy management module is regularly evaluated. The evaluation results include: the accuracy of the energy demand forecast results and the execution effect of the energy supply strategy. According to the evaluation results, the algorithms and models are optimized to improve the overall performance and efficiency of the management system of the new energy power station.

[0064] In the implementation of this application, if Figure 4 As shown, the energy recovery module 300 includes a data acquisition submodule 30 and an energy storage module 31 .

[0065] The data acquisition submodule 30 is used to acquire the operation data of the new energy power station and the battery operation data.

[0066] For example, for the operating data of the new energy power station, when the new energy power station is performing braking and deceleration operations, the speed, acceleration and other operating data of the new energy power station can be detected in real time based on sensors. For the battery operating data, the battery charging status, temperature, health status and other operating data provided by the battery management system can be obtained.

[0067] Among them, the energy storage module 31 is used to determine the optimal storage strategy based on the operating data of the new energy power station and the battery operating data, control the recoverable energy value and rate value according to the optimal storage strategy, and based on the state parameters and health status of the battery, execute the operation of storing the recoverable energy value in the battery.

[0068] It should be noted that the optimal storage strategy can be determined based on the operating data of the new energy power station and the battery operating data, and the generator can be controlled to convert the mechanical energy generated by the new energy power station during braking and deceleration operations into electrical energy. The recoverable energy value and rate value can be accurately controlled by adjusting the load according to the optimal storage strategy, and the operation of storing the recoverable energy value in the battery is performed based on the battery status information. At the same time, the external battery management system continuously monitors key parameters and dynamically adjusts the charging strategy.

[0069] It should be noted that the battery status parameters include at least current, voltage and temperature, and the battery internal resistance can be compared with the battery reference internal resistance to determine the battery health status.

[0070] Optionally, in response to both the status parameters and the health status failing to meet the preset warning conditions, the operation of storing the recoverable energy value in the battery is performed; in response to the status parameters and / or the health status meeting the preset warning conditions, the operation of storing the recoverable energy value in the battery is stopped.

[0071] In the implementation of this application, if Figure 5 As shown, the power switching module 400 includes a first power switching sub-module 40 and a second power switching sub-module 41 .

[0072] The first power switching submodule 40 is used for switching the main power source to the main power source according to the first power switching instruction in response to receiving the first power switching instruction.

[0073] The second power switching submodule 41 is used for switching the auxiliary power supply to the main power supply according to the second power switching instruction in response to receiving the second power switching instruction.

[0074] In the implementation of this application, if Figure 6 As shown, the management system 1000 of the new energy power station also includes a display module 500 .

[0075] The display module 500 is used to display various information in the management system and generate an early warning prompt when the management system meets the preset early warning conditions.

[0076] For example, the display module can display the operating status of the management system of the new energy power station (whether it is running normally), the current total energy consumption of the management system of the new energy power station and the energy consumption distribution of each part, and can also display the total amount and source of recoverable energy, analyze the utilization rate of recoverable energy, and when the main power supply fails and the supply is unstable, it can display whether it has successfully switched to the auxiliary power supply, as well as the specific time and reason for the switching between the main power supply and the auxiliary power supply. Through the real-time display of the display module, various status information of the management system can be obtained in time, so that potential problems and abnormal situations can be discovered in time. When an abnormal situation occurs (when the preset warning conditions are met), the display module generates a warning prompt and sends out an alarm signal, such as: sound and light alarm, voice alarm, etc., to remind the staff to take timely measures to deal with it, so as to avoid further deterioration of the problem and cause system failure.

[0077] To summarize, the present application proposes a management system for a new energy power station, which realizes the reliability and stability of the power supply of the new energy power station, and configures an auxiliary power supply based on the new energy power generation equipment as the main power supply. It can quickly take over the power supply task when the main power supply fails and the supply is unstable, thereby ensuring the uninterrupted power supply of the new energy power station. It not only avoids production interruptions caused by power failures, but also improves the efficiency of energy utilization. At the same time, it can obtain the operation mode of the new energy power station, the energy demand forecast results and the energy supply strategy, realize the optimal configuration and utilization of energy, reduce the cost in the energy management process, and improve the utilization rate and environmental protection of energy, which plays a positive role in promoting the development and application of green energy.

[0078] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0079] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0080] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A management system for a new energy power station, characterized in that: It includes dual power supply module, energy management module, energy recovery module and power switching module, among which: The dual power supply module is used to obtain power status information and send a power switching instruction to the power switching module according to the status information, wherein the power supply includes a main power supply and an auxiliary power supply, and the main power supply and the auxiliary power supply are used to provide electric energy to the new energy power station; The energy management module is used to obtain the operation mode and energy demand prediction result of the new energy power station, and determine the energy supply strategy of the new energy power station based on the operation mode and the energy demand prediction result; The energy recovery module is used to obtain the recoverable energy generated during the operation of the new energy power station and store the recoverable energy in the battery according to the optimal storage strategy; The power switching module is used to receive a power switching instruction and execute a switching operation between the main power supply and the auxiliary power supply according to the power switching instruction.

2. The management system according to claim 1, characterized in that: The dual power supply module includes a power supply monitoring submodule, a first power supply fault diagnosis submodule and a second power supply fault diagnosis submodule, wherein: The power monitoring submodule is used to obtain the first status information of the main power supply and the second status information of the auxiliary power supply; The first power diagnosis submodule is used to determine that the main power supply is in a fault state based on the first state information and that the auxiliary power supply is in a normal state based on the second state information, generate a first power switching instruction, and send the first power switching instruction to the power switching module, wherein the first power switching instruction is used to switch the main power supply to the auxiliary power supply; The second power supply diagnosis submodule is used to determine whether the main power supply has recovered from a fault state to a normal state and meets a preset power supply state condition, generate a second power supply switching instruction, and send the second power supply switching instruction to the power supply switching module, wherein the second power supply switching instruction is used to switch the auxiliary power supply to the main power supply.

3. The management system according to claim 1, characterized in that: The energy management module includes an operation mode determination submodule, an energy demand prediction submodule and an energy supply strategy determination submodule, wherein: The operation mode determination submodule is used to obtain the operation mode of the new energy power station; The energy demand prediction submodule is used to obtain the energy demand prediction result of the new energy power station within the prediction period; The energy supply strategy determination submodule is used to determine the energy supply strategy of the new energy power station based on the operation mode and the energy demand prediction result.

4. The management system according to claim 3, characterized in that: The obtaining the operation mode of the new energy power station includes: Obtaining a sample data set of the new energy power station; Obtain a preset clustering value K, and randomly select K sample data from the sample data set as cluster centers, where K is a positive integer; Obtaining the Euclidean distance between each sample data and each cluster center in the sample data set, assigning each sample data to the cluster to which the cluster center closest to it belongs according to the minimum Euclidean distance principle, and obtaining an initial clustering result; According to the initial clustering result, determine the mean of all sample data in each cluster, use the mean as the updated cluster center, and repeat the above steps until the cluster center meets the preset end condition to obtain the optimal clustering result; Based on the optimal clustering result, the operation mode of the new energy power station is obtained.

5. The management system according to claim 3, characterized in that: The obtaining of the energy demand forecast result within the forecast period includes: Acquire historical energy demand time series data, and preprocess the historical energy demand time series data to obtain target historical energy demand time series data; According to the target historical energy demand time series data, an initial autoregressive integrated moving average ARIMA model is trained to obtain a converged ARIMA model; The time period to be predicted is input into the ARIMA model to output the energy demand prediction result within the time period to be predicted.

6. The management system according to claim 3, characterized in that: The determining of the energy supply strategy of the new energy power station based on the operation mode and the energy demand prediction result includes: Based on the operation mode and the energy demand forecast result, the supply of the i-th energy source is obtained, and an objective function is constructed with the minimum cost as the goal, wherein i is a positive integer; Constructing constraint conditions according to the minimum supply and maximum supply of the i-th energy source, inputting the supply of the i-th energy source into the objective function, solving the objective function under the constraint conditions, and obtaining a target supply of the i-th energy source; Based on the target supply amount of the i-th energy source, an energy supply strategy of the new energy power station is obtained.

7. The management system according to claim 1, characterized in that: The energy recovery module is also used for: The data acquisition submodule is used to obtain the operation data of the new energy power station and the battery operation data; The energy storage module is used to determine the optimal storage strategy based on the operating data of the new energy power station and the battery operating data, control the recoverable energy value and the rate value according to the optimal storage strategy, and based on the state parameters and health status of the battery, execute the operation of storing the recoverable energy value in the battery.

8. The management system according to claim 7, characterized in that: The operation of storing the recoverable energy value in the battery based on the state parameter and health state of the battery includes: In response to the state parameter and the health state not meeting the preset warning condition, performing an operation of storing the recoverable energy value in the battery; or, In response to the state parameter and / or the health state meeting a preset warning condition, the operation of storing the recoverable energy value in the battery is stopped.

9. The management system according to claim 2, characterized in that: The power switching module includes a first power switching submodule and a second power switching submodule, wherein: a first power switching submodule, configured to, in response to receiving the first power switching instruction, switch the main power source to the primary power source according to the first power switching instruction; The second power switching submodule is configured to, in response to receiving the second power switching instruction, switch the auxiliary power supply to the main power supply according to the second power switching instruction.

10. The management system according to claim 1, characterized in that: The management system further comprises a display module, wherein: The display module is used to display various information in the management system and generate a warning prompt when the management system meets the preset warning conditions.

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