Multi-energy coordinated new energy power station grid-connected frequency stability detection and adjustment method
Through intelligent gateway monitoring and data fitting, combined with battery energy storage system and meteorological prediction, the problem of unstable power supply curve after the new energy power station is incorporated into the power supply network is solved, and the frequency stability and energy utilization optimization of the power supply network are achieved.
Patent Information
- Application Number
- CN202510447559.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-10
- Publication Date
- 2025-07-11
AI Technical Summary
In the power supply grid, the incorporation of multiple new energy power stations leads to turbulent and unstable power supply curves, which are affected by the environment and have no connection with demand, resulting in reduced power supply quality and availability and energy waste.
Through intelligent gateway equipment, the power data of the power supply network and grid-connected nodes are monitored, data fitting and feature analysis are performed, periodic output characteristics and consumption characteristics are established, grid-connected scheduling requirements and correction parameters are generated, time axis synchronous correction and frequency correction are performed, battery energy storage systems are used for collaborative management, and meteorological data are combined for refined prediction and correction.
It has realized the refined control and management of the incorporation of new energy power stations into the power supply network, optimized energy utilization, reduced the risk of frequency exceeding the limit, and ensured the stability and safety of power supply.
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Figure CN120300833A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of new energy grid management, and specifically to a method for detecting and regulating the grid-connected frequency stability of a new energy power station with multi-energy coordination. Background Technique
[0002] A new energy power station is a series of new energy devices that use renewable energy for power conversion and supply in order to achieve sustainable green development.
[0003] In a power supply grid, on the same main line, usually multiple new energy power stations are connected, and new energy power stations of different new energy types are included. Different new energies are affected by different meteorological environment factors due to their different energy conversion methods. Therefore, they will show different output curve characteristics at different time periods in the same cycle. If the method of directly connecting to the power supply grid is adopted, this will make the power supply curve in the cycle of the power supply grid become turbulent and unstable. The power supply curve affected by the environment and unrelated to the demand, as well as the disordered frequency characteristics, greatly reduce the power supply quality and availability of the power supply grid, and at the same time cause a large amount of energy waste. Summary of the Invention
[0004] The purpose of the present invention is to provide a method for detecting and regulating the grid-connected frequency stability of a new energy power station with multi-energy coordination, so as to solve the problems raised in the above background technique.
[0005] To achieve the above purpose, the present invention provides the following technical solutions:
[0006] A method for detecting and regulating the grid-connected frequency stability of a new energy power station with multi-energy coordination, comprising:
[0007] Monitoring multiple nodes of the power supply grid through an intelligent gateway device to obtain the power consumption data of the power supply grid and the power output data of multiple grid-connected nodes in the cycle;
[0008] Fitting the change characteristics of the power output data of the grid-connected nodes in several cycles to correspondingly establish a periodic output characteristic, which is used to characterize the time-related distribution of the power generation characteristics of the new energy power station at the grid-connected node in the cycle;
[0009] Statistically analyzing the consumption distribution characteristics based on the power consumption data in several cycles, obtaining the periodic consumption characteristics and correspondingly allocating the output requirements of multiple grid-connected nodes to establish a grid-connected scheduling requirement, where the output requirement is used to characterize the node grid-connected demand at each time period in the cycle;
[0010] Obtain the output frequency characteristics of the grid-connected node through the described periodic output characteristics, and perform a difference operation based on a preset grid-connected safety frequency range to generate a grid-connected correction parameter, which is used to ensure the frequency modulation requirements for the output of the grid-connected part of the new energy power station at a certain time node.
[0011] As a further solution of the present invention: it further includes the steps of:
[0012] Align the grid-connected scheduling requirements and the grid-connected correction parameter on the time axis to merge and generate an adjustment control plan for the power grid within a cycle;
[0013] Based on the grid-connected node, split the adjustment control plan and bind it to the management communication interface of the grid-connected node to generate a node control plan corresponding to the grid-connected node;
[0014] Perform time-axis synchronization correction on multiple grid-connected nodes, and execute the node control plan after the time-axis correction to perform grid-connected output and frequency correction at the corresponding time node. The time-axis synchronization correction is executed when the grid-connected node is idle, and a synchronization correction is performed once in each cycle.
[0015] As a further solution of the present invention: it further includes:
[0016] Integrate the periodic consumption characteristics and periodic output characteristics respectively to obtain the total periodic demand and total periodic output, and calculate the periodic supply-demand ratio, which is the ratio of the total periodic output to the total periodic demand;
[0017] Based on the periodic supply-demand ratio, manage and judge the output and demand at the current time node to correspondingly match a coordination plan. The coordination plan specifically includes:
[0018] If the output is higher than the demand and the current supply-demand ratio is greater than the periodic supply-demand ratio, store and manage the excess power through the battery energy storage system;
[0019] If the output is higher than the demand and the current supply-demand ratio is less than the periodic supply-demand ratio, no coordination management is performed;
[0020] If the output is less than the demand, discharge and replenish energy through the battery energy storage system.
[0021] As a further solution of the present invention: it further includes:
[0022] Split the cycle into several consecutive sub-evaluation periods, discretely count the historical power consumption data corresponding to the sub-evaluation periods, and establish multiple fluctuation threshold ranges based on the degree of dispersion;
[0023] Assign supply - demand correction values to multiple said fluctuation threshold ranges, and correct the cycle supply - demand ratio based on the supply - demand correction values to obtain the sub - cycle supply - demand ratio of the current sub - evaluation cycle. The corrected cycle supply - demand ratio is not less than one, and the supply - demand correction value is inversely proportional to the degree of dispersion.
[0024] As a further aspect of the present invention: It further includes the steps of:
[0025] Obtain the meteorological environment data corresponding to the power generation data within several cycle periods at the corresponding grid - connected node.
[0026] Based on the new energy power station type of the current grid - connected node, obtain the associated data parameters in the meteorological data, and fit them with the power generation data to establish the meteorological output correlation function of this grid - connected node. The meteorological output correlation function is used to characterize the impact of environmental parameter changes on the output of the new energy power station.
[0027] As a further aspect of the present invention: It further includes the steps of:
[0028] Obtain the prediction of the meteorological environment data at the grid - connected node in the next cycle period, and based on the prediction of the meteorological environment data, obtain the cycle prediction output at the corresponding grid - connected node in the next cycle period.
[0029] Use the cycle prediction output to correct the output data of the grid - connected node for the cycle output characteristics of this cycle period, so as to achieve characteristic update based on the cycle environment.
[0030] As a further aspect of the present invention: It further includes the steps of:
[0031] Record the meteorological environment of the grid - connected node in real - time, and perform short - term inertial prediction through a meteorological model to obtain the future short - term meteorological environment state. The short - term inertial prediction is used to predict the meteorological state within several minutes or less.
[0032] Optimize and update the grid - connection scheduling requirements and grid - connection correction parameters based on the short - term meteorological environment state.
[0033] A new energy power station grid - connection frequency stability detection and regulation system for multi - energy coordination, including:
[0034] A data supervision and recording module, used to monitor multiple nodes of the power supply network through an intelligent gateway device, and obtain the power consumption data of the power supply network and the power generation data of multiple grid - connected nodes within a cycle period.
[0035] An output feature fitting module, used to fit the change characteristics of the power generation data of the grid - connected node within several cycle periods to correspondingly establish cycle output characteristics. The cycle output characteristics are used to characterize the time - related distribution of the power generation characteristics of the new energy power station at the grid - connected node within the cycle period.
[0036] A demand feature fitting module, which is used to perform consumption distribution feature statistics based on power consumption data within several cycle periods, obtain cycle consumption features and correspondingly allocate the output demands of multiple grid connection nodes to establish grid connection scheduling demands, where the output demands are used to represent the node grid connection demands in each time period within the cycle period;
[0037] An adjustment demand evaluation module, which is used to obtain the output frequency feature of the grid connection node through the cycle output feature, and generate a grid connection correction parameter by taking the difference based on a preset grid connection safety frequency range, where the grid connection correction parameter is used to ensure the frequency modulation demand for the grid connection part output of the new energy power station at a certain time node.
[0038] As a further solution of the present invention: It further includes an adjustment and correction module, including:
[0039] A time alignment unit, which is used to align the grid connection scheduling demand and the grid connection correction parameter on the time axis to merge and generate an adjustment control scheme for the power supply network within a cycle period;
[0040] A node distribution unit, which is used to split the adjustment control scheme based on the grid connection nodes and bind it to the management communication interface of the grid connection nodes to generate a node control scheme for the corresponding grid connection nodes;
[0041] A correction management unit, which is used to perform time axis synchronization correction on multiple grid connection nodes, and execute the node control scheme after the time axis correction to perform grid connection output and frequency correction at the corresponding time node, where the time axis synchronization correction is executed when the grid connection node is idle, and a synchronization correction is performed once in each cycle period.
[0042] As a further further solution of the present invention: It further includes a supply and demand management module, specifically including:
[0043] A supply and demand evaluation unit, which is used to integrate the cycle consumption feature and the cycle output feature respectively to obtain the cycle total demand and the cycle total output, and calculate the cycle supply and demand ratio, where the cycle supply and demand ratio is the ratio of the cycle total output to the cycle total demand;
[0044] A collaborative management unit, which is used to perform management judgment on the output and demand at the current time node based on the cycle supply and demand ratio to correspondingly match a collaborative scheme, where the collaborative scheme specifically includes: If the output is higher than the demand and the current supply and demand ratio is greater than the cycle supply and demand ratio, the excess power is stored and managed through a battery energy storage system; If the output is higher than the demand and the current supply and demand ratio is less than the cycle supply and demand ratio, no collaborative management is performed; If the output is less than the demand, the battery energy storage system is used for discharging and energy replenishment.
[0045] Compared with the prior art, the beneficial effects of the present invention are as follows: By taking real-time monitoring and recording of data by the intelligent gateway, it is possible to effectively supervise and characteristically evaluate the output of new energy power stations in the power supply network, and adjust the power output requirements of multiple new energy sites in combination with the consumption requirements of the power supply network, and perform frequency supervision and correction under the corresponding requirements, so as to achieve refined control and management of the integration of new energy power stations into the power supply network. On the premise of ensuring the safety of the integration frequency, the utilization rate of energy is optimized through the time-sharing release of the output. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] Figure 1 It is a flow block diagram of a method for detecting and adjusting the grid connection frequency stability of a new energy power station for multi-energy coordination.
[0047] Figure 2 It is a flow chart of output demand judgment in a method for detecting and adjusting the grid connection frequency stability of a new energy power station for multi-energy coordination. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0048] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0049] The following describes in detail the specific implementation manners of the present invention with reference to specific embodiments.
[0050] As Figure 1 described, a method for detecting and adjusting the grid connection frequency stability of a new energy power station for multi-energy coordination provided by an embodiment of the present invention includes the following steps:
[0051] S10. Monitor multiple nodes of the power supply network through an intelligent gateway device, and obtain the power consumption data of the power supply network and the power output data of multiple grid connection nodes within a cycle period;
[0052] S20. Fit the change characteristics of the power output data of the grid connection nodes within several cycle periods to correspondingly establish a periodic output characteristic, and the periodic output characteristic is used to characterize the time-related distribution of the power generation characteristics of the new energy power station at the grid connection node within the cycle period;
[0053] S30. Statistically analyze the consumption distribution characteristics based on the power consumption data within several cycle periods, obtain the periodic consumption characteristics and correspondingly allocate the output requirements of multiple grid connection nodes to establish a grid connection scheduling requirement, and the output requirement is used to characterize the grid connection demand of each node at each time period within the cycle period;
[0054] S40. Obtain the output frequency characteristics of the grid-connected node through the output characteristics of the cycle, and perform a difference operation based on a preset grid-connected safety frequency range to generate a grid-connected correction parameter, where the grid-connected correction parameter is used to ensure the frequency modulation requirements for the output of the grid-connected part of the new energy power station at a certain time node.
[0055] In this embodiment, a method for detecting and adjusting the grid-connected frequency stability of a new energy power station with multi-energy coordination is provided. By taking real-time monitoring records of the data of the intelligent gateway, it can effectively supervise and evaluate the output of the new energy power station in the power supply network and characterize it. Combining the consumption requirements of the power supply network, it adjusts the power supply output requirements of multiple new energy sites, and conducts frequency supervision and correction under corresponding requirements to achieve refined control and management of the new energy power station connected to the power supply network. On the premise of ensuring the safety of the grid-connected frequency, the utilization rate of energy is optimized through the time-sharing release of the output; specifically, in the power supply network, the same main line usually includes the connection of multiple new energy power stations, and new energy power stations of different new energy types. Therefore, in a cycle (the cycle used to express the law of power supply and demand changes, which refers to a natural day in this embodiment), different new energy power stations have different grid-connected power supply curves, and their distribution methods on the time axis of the cycle are different. For the same new energy power station, at different time nodes of the grid-connected power supply curve, there are significant differences in its output intensity characteristics, frequency characteristics, etc. Therefore, when not adjusted by dispatching, it can be classified as inferior energy and cannot be directly grid-connected. If forced to be connected to the grid, it will have a greater impact on the purity and output stability of the grid frequency. This embodiment provides a detection and adjustment method to manage the grid connection of new energy power stations, mainly including two aspects: one is the dispatching management of the output quantity of the connection, and the other is the grid-connected frequency management; by separately monitoring multiple grid-connected nodes and the power supply network, performing characteristic fitting processing based on the power consumption data and power output data of several cycles, and judging the demand and supply relationship in the entire cycle, it is then possible to store and transfer the output power with a short high-output time through the grid-connected dispatching demand for additional supplementation during the period when the grid-connected output is insufficient, thereby realizing the grid-connected adjustment management of the entire cycle. For the grid-connected management of frequency, the corresponding correction parameters can be predicted through the cycle output characteristics of the new energy power station to make it within a safe frequency range, and it can also avoid the time delay caused by adjusting and correcting through real-time detection feedback, reducing the probability of risk events of frequency exceeding the limit.
[0056] As another preferred embodiment of the present invention, it further includes:
[0057] Align the grid-connected dispatching demand and the grid-connected correction parameter on the time axis to merge and generate a regulation control plan for the power supply network in a cycle.
[0058] Split the regulation and control scheme based on the grid-connected nodes and bind it to the management communication interface of the grid-connected nodes to generate a node control scheme corresponding to the grid-connected nodes;
[0059] Perform time-axis synchronization correction on multiple grid-connected nodes, and execute the node control scheme after the time-axis correction to perform grid connection output and frequency correction at corresponding time nodes. The time-axis synchronization correction is executed when the grid-connected nodes are idle, and synchronization correction is performed once in each cycle period.
[0060] In this embodiment, the management steps of grid connection dispatching execution are supplemented. The basis for execution is the grid connection dispatching requirements and grid connection correction parameters generated in the previous embodiment. After determining that the times of several grid-connected nodes in the power supply network are consistent, when the corresponding grid-connected nodes reach the corresponding time nodes of the regulation and control scheme, control and management of grid connection output and correction management of frequency are performed. The main part here is that time-axis synchronization management is required. For multiple grid-connected nodes in the same power supply network, if the time axes are not unified, serious misalignment will occur during the dispatching of grid connection output, resulting in a large deviation between the final result and the expected output curve.
[0061] As Figure 2 shown, as another preferred embodiment of the present invention, it further includes steps:
[0062] S51, Integrate the cycle consumption characteristics and cycle output characteristics respectively to obtain the total cycle demand and total cycle output, and calculate the cycle supply-demand ratio, where the cycle supply-demand ratio is the ratio of the total cycle output to the total cycle demand;
[0063] S52, Based on the cycle supply-demand ratio, manage and judge the output and demand of the current time node to correspondingly match the cooperation scheme. The cooperation scheme specifically includes:
[0064] S521, If the output is higher than the demand and the current supply-demand ratio is greater than the cycle supply-demand ratio, store and manage the excess power through the battery energy storage system;
[0065] S522, If the output is higher than the demand and the current supply-demand ratio is less than the cycle supply-demand ratio, no cooperation management is performed;
[0066] S533, If the output is less than the demand, discharge and replenish energy through the battery energy storage system.
[0067] In this embodiment, for multiple new energy power stations, the integrated grid-connected power supply curves of them will yield a power supply curve for the total line. At the same time, the outputs of different new energy power stations are all affected by environmental factors. Therefore, there are two problems. Firstly, at a certain time period, the total grid-connected supply of multiple new energy power stations is less than the demand, and energy supplementation is required. Secondly, due to the influence of the valley and peak values based on the actual environmental changes on the bus output, pre-judgment according to the environmental changes and correction are needed. The main purpose of this embodiment is to solve the first problem. A battery energy storage system BESS is correspondingly provided, which is used for quickly discharging or charging when needed to achieve short-term frequency deviation compensation. When, at a certain time period, the output of the new energy power station is much higher than the demand at this time period, the excess energy is stored through the battery energy storage system and the output is adjusted during the energy shortage period. Specifically, a cycle supply-demand ratio is introduced here, that is, within the cycle period, the total power supply and total consumption of the power supply network. This ratio can be used to judge whether energy storage preparation is needed for the output of the new energy power station within a relatively short time period. And based on this ratio, a certain reserve can be provided as the dynamic safety range during the fluctuation of the demand in actual power supply.
[0068] As another preferred embodiment of the present invention, the collaborative solution further includes the steps:
[0069] The cycle period is split into several consecutive sub-evaluation periods, and discrete statistics are performed on the historical power consumption data corresponding to the sub-evaluation periods, and multiple fluctuation threshold ranges are established based on the degree of dispersion.
[0070] Supply-demand correction values are assigned to the multiple fluctuation threshold ranges, and the cycle supply-demand ratio is corrected based on the supply-demand correction values to obtain the sub-cycle supply-demand ratio of the current sub-evaluation period. The corrected cycle supply-demand ratio is not less than one, and the supply-demand correction value is inversely proportional to the degree of dispersion.
[0071] In this embodiment, the cycle supply-demand ratio in the collaborative solution is further refined and managed. Here, it is specifically refined to the sub-cycles of smaller time periods. Within an entire cycle period, at different time periods, due to the different living and production habits of the consumption objects, the fluctuation stability reflected in the historical data will be different. For example, during the period from nine o'clock to eleven o'clock, scattered electricity consumption objects no longer consume electricity, and the remaining electricity consumption objects are production centers, and their production equipment is fixed and stable. Then the electricity consumption during this time period is relatively stable, that is, the degree of dispersion is low, and the fluctuation threshold range is small. At this time, the cycle supply-demand ratio can be reduced through the supply-demand correction method, thereby reducing the supply of redundant electricity. For the grid connection node, more electricity can be saved for output during the period of higher demand or larger fluctuations to ensure the stability of electricity consumption.
[0072] As another preferred embodiment of the present invention, it further includes the steps of:
[0073] Obtain the meteorological environment data corresponding to the power generation data within several cycle periods at the corresponding grid-connected node;
[0074] Based on the new energy power station type of the current grid-connected node, obtain the associated data parameters in the meteorological data, fit them with the power generation data, and establish the meteorological output association function of this grid-connected node, where the meteorological output association function is used to characterize the influence of environmental parameter changes on the output of the new energy power station.
[0075] Furthermore, it further includes the steps of:
[0076] Obtain the prediction of the meteorological environment data at the grid-connected node in the next cycle period, and based on the prediction of the meteorological environment data, predict the cycle prediction output at the corresponding grid-connected node in the next cycle period;
[0077] Use the cycle prediction output to correct the output data of the grid-connected node for the cycle output characteristics of the current cycle period, so as to achieve the characteristic update based on the cycle environment.
[0078] In this embodiment, for different new energy power stations, they are affected by different environmental influence factors. When the corresponding influence factors change, the actual output of the new energy power station will also fluctuate greatly or even shut down. Therefore, the cycle output characteristics based on historical data can only express the overall trend to a certain extent. If refined prediction and adjustment management are required, it is also necessary to predict the output of each new energy power station according to environmental factors, so as to determine the available scheduling resources of the whole and each node, predict the actual output of the cycle period, and based on this, correct the output data of the grid-connected node, making the control and scheduling of the whole cycle period more reliable and uniform.
[0079] As another preferred embodiment of the present invention, it further includes:
[0080] Record the meteorological environment of the grid-connected node in real time, and perform short-term inertial prediction through a meteorological model to obtain the future short-term meteorological environment state, where the short-term inertial prediction is used to predict the meteorological state for several minutes or less;
[0081] Optimize and update the grid-connected scheduling requirements and grid-connected correction parameters based on the short-term meteorological environment state.
[0082] In this embodiment, since the generation and output of electricity are real-time, if the grid connection frequency is corrected by means of real-time monitoring, there will be a certain lag in the correction because there is a certain delay in the detection and feedback process, and the lag may cause the inferior frequency not to be corrected back to the safe frequency range in time. Therefore, based on data prediction correction and environmental prediction correction, this embodiment predicts the meteorological environment by detecting and recording the actual environment, so as to judge the meteorological environment changes in a short period of time, such as half a minute, two minutes or ten minutes. Therefore, high-precision meteorological environment prediction can be realized in this short period of time to determine the actual output of the new energy power station, and accurate grid connection scheduling requirements and frequency correction can be carried out to ensure the high quality and stability of the grid-connected power.
[0083] Another embodiment of the present invention also provides a new energy power station grid connection frequency stability detection and adjustment system for multi-energy coordination, including:
[0084] A data supervision and recording module, configured to perform multi-node monitoring on the power supply network through an intelligent gateway device, and obtain the power consumption data of the power supply network and the power generation data of multiple grid connection nodes within a cycle period;
[0085] An output feature fitting module, configured to fit the change features of the power generation data of the grid connection nodes within several cycle periods, so as to correspondingly establish a periodic output feature, and the periodic output feature is used to characterize the time-correlated distribution of the power generation characteristics of the new energy power station at the grid connection node within the cycle period;
[0086] A demand feature fitting module, configured to perform consumption distribution feature statistics based on the power consumption data within several cycle periods, obtain the periodic consumption features and correspondingly allocate the output demands of multiple grid connection nodes, so as to establish grid connection scheduling requirements, and the output demands are used to characterize the node grid connection demand at each time period within the cycle period;
[0087] An adjustment demand evaluation module, configured to obtain the output frequency feature of the grid connection node through the periodic output feature, and generate a grid connection correction parameter by taking the difference based on a preset grid connection safety frequency range, and the grid connection correction parameter is used to ensure the frequency modulation demand for the grid-connected part of the new energy power station at a certain time node.
[0088] As another preferred embodiment of the present invention, it further includes an adjustment and correction module, including:
[0089] A time alignment unit, configured to align the grid connection scheduling requirements and the grid connection correction parameters on the time axis to merge and generate an adjustment control plan for the power supply network within a cycle period;
[0090] A node distribution unit, configured to split the regulation control scheme based on grid-connected nodes and bind it to the management communication interface of the grid-connected nodes, so as to generate a node control scheme corresponding to the grid-connected nodes;
[0091] A correction management unit, configured to perform time-axis synchronization correction on multiple grid-connected nodes and execute the node control scheme after the time-axis correction, so as to perform grid connection output and frequency correction at corresponding time nodes. The time-axis synchronization correction is executed when the grid-connected nodes are idle, and a synchronization correction is performed once in each cycle period.
[0092] As another preferred embodiment of the present invention, it further includes a supply and demand management module, specifically including:
[0093] A supply and demand evaluation unit, configured to integrate the periodic consumption characteristics and periodic output characteristics respectively to obtain the total periodic demand and total periodic output, and calculate the periodic supply and demand ratio, where the periodic supply and demand ratio is the ratio of the total periodic output to the total periodic demand;
[0094] A collaborative management unit, configured to perform management judgment on the output and demand at the current time node based on the periodic supply and demand ratio, so as to correspondingly match a collaborative scheme. The collaborative scheme specifically includes: if the output is higher than the demand and the current supply and demand ratio is greater than the periodic supply and demand ratio, the excess power is stored and managed through a battery energy storage system; if the output is higher than the demand and the current supply and demand ratio is less than the periodic supply and demand ratio, no collaborative management is performed; if the output is less than the demand, the battery energy storage system is used for discharging and energy replenishment.
[0095] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.
[0096] After considering the specification and the disclosure of the embodiments, those skilled in the art will readily conceive of other embodiments of the present disclosure. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the claims.
[0097] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.
Claims
1. A method for detecting and adjusting the grid connection frequency stability of a new energy power station with multi - energy coordination, characterized in that, Including: Performing multi-node monitoring on the power supply network through an intelligent gateway device to obtain the power consumption data of the power supply network and the power output data of multiple grid-connected nodes within a cycle period; Fitting the change characteristics of the power output data of the grid-connected nodes within several cycle periods to correspondingly establish a periodic output characteristic, where the periodic output characteristic is used to characterize the time-correlated distribution of the power generation characteristics of the new energy power station at the grid-connected node within the cycle period; Statistically analyzing the consumption distribution characteristics based on the power consumption data within several cycle periods, obtaining the periodic consumption characteristics and correspondingly allocating the output demands of multiple grid-connected nodes to establish a grid-connected scheduling demand, where the output demand is used to characterize the node grid-connected demand at each time period within the cycle period; Obtaining the output frequency characteristic of the grid-connected node through the periodic output characteristic, and performing a difference operation based on a preset grid-connected safety frequency interval to generate a grid-connected correction parameter, where the grid-connected correction parameter is used to ensure the frequency modulation demand for the grid-connected part of the output of the new energy power station at a certain time node.
2. The new energy power station grid connection frequency stability detection and adjustment method for multi-energy coordination according to claim 1, wherein, It further includes steps: Aligning the grid-connected scheduling demand and the grid-connected correction parameter on the time axis to merge and generate an adjustment control plan for the power supply network within one cycle period; Based on the grid-connected node, splitting the adjustment control plan and binding it to the management communication interface of the grid-connected node to generate a node control plan corresponding to the grid-connected node; Performing time-axis synchronization correction on multiple grid-connected nodes, and executing the node control plan after the time-axis correction to perform grid connection output and frequency correction at the corresponding time node. The time-axis synchronization correction is executed when the grid-connected node is idle, and one synchronization correction is performed for each cycle period.
3. The method for detecting and adjusting the grid connection frequency stability of a new energy power station with multi - energy coordination according to claim 2, wherein It further includes: Integrating the periodic consumption characteristic and the periodic output characteristic respectively to obtain the total periodic demand and the total periodic output, and calculating the periodic supply-demand ratio, where the periodic supply-demand ratio is the ratio of the total periodic output to the total periodic demand; Based on the periodic supply-demand ratio, performing management judgment on the output and demand at the current time node to correspondingly match a coordination plan. The coordination plan specifically includes: If the output is higher than the demand and the current supply-demand ratio is greater than the periodic supply-demand ratio, storing and managing the excess power through a battery energy storage system; If the output is higher than the demand and the current supply-demand ratio is less than the periodic supply-demand ratio, no coordination management is performed; If the output is less than the demand, discharging and replenishing energy through the battery energy storage system.
4. The method for detecting and regulating the grid connection frequency stability of a new energy power station with multi - energy coordination according to claim 3, wherein, It further includes: Splitting the cycle period into several consecutive sub-evaluation periods, discretely statistically analyzing the several historical power consumption data corresponding to the sub-evaluation periods, and establishing multiple fluctuation threshold ranges based on the degree of discreteness; Assigning supply-demand correction values to multiple fluctuation threshold ranges, and correcting the periodic supply-demand ratio based on the supply-demand correction values to obtain the sub-cycle supply-demand ratio of the current sub-evaluation period. The corrected periodic supply-demand ratio is not less than one, and the supply-demand correction value is inversely proportional to the degree of discreteness.
5. The method for detecting and regulating the grid-connected frequency stability of a new energy power station with multi-energy coordination according to claim 4, characterized in that, It further includes steps: Obtaining the meteorological environment data corresponding to the power output data within several cycle periods at the corresponding grid-connected node; Obtain the associated data parameters in the meteorological data based on the new energy power station type of the current grid-connected node, fit them with the power output data, and establish the meteorological output association function of this grid-connected node. The meteorological output association function is used to characterize the impact of environmental parameter changes on the output of the new energy power station.
6. The method for detecting and regulating the grid-connected frequency stability of a new energy power station with multi-energy coordination according to claim 5, characterized in that, It also includes the steps: Obtain the prediction of the meteorological environment data of the grid-connected node in the next cycle, and based on the prediction of the meteorological environment data, predict the cycle output of the corresponding grid-connected node in the next cycle; Use the cycle prediction output to correct the output data of the grid-connected node for the cycle output characteristics of this cycle, so as to achieve the characteristic update based on the cycle environment.
7. The method for detecting and regulating the grid-connected frequency stability of a new energy power station with multi-energy coordination according to claim 6, characterized in that, It also includes the steps: Record the meteorological environment of the grid-connected node in real time, and perform short-term inertial prediction through the meteorological model to obtain the future short-term meteorological environment state. The short-term inertial prediction is used to predict the meteorological state for several minutes or less; Optimize and update the grid connection scheduling requirements and grid connection correction parameters based on the short-term meteorological environment state.