New energy power station grid-connected detection method and system for multi-dimensional evaluation of electric energy quality

Abstract

The invention relates to the related field of new energy power station dispatching management, and discloses a new energy power station grid-connected detection method and system for electric energy quality multi-dimensional evaluation, which are used for grid-connected management and optimization of a distributed new energy power station. According to the method, the power supply quality and stability of the power grid can be integrally evaluated, grid-connected distribution is performed on the new energy power station according to requirements to achieve an optimal power grid access effect, and compared with a mode of directly accessing a total power grid line at the shortest distance, the power supply state of the power grid can be better balanced, so that the overall power supply quality of the power grid is more stable.

Description

Technical Field

[0001] The present invention relates to the field of dispatching management of new energy power stations, and specifically to a grid connection detection method and system for new energy power stations with multi-dimensional evaluation of power quality. Background Technique

[0002] New energy power stations are facilities that generate electricity using renewable energy sources such as solar energy, wind energy, geothermal energy, and biomass energy. The large-scale construction and operation of new energy power stations are of great significance for green and sustainable development, and are also the main development direction of clean energy in the next few decades.

[0003] However, for the grid connection of new energy power stations, there are certain difficulties due to the instability and periodicity of new energy power generation. For example, for new energy sources such as solar energy and wind energy, their inherent instability cannot be changed, and the output power will vary with time and environment. Therefore, simply using new energy power stations as the main energy supply nodes for grid connection obviously has many problems and may even not be able to effectively meet the basic energy demand. Therefore, it is of practical significance to adopt a variable grid connection scheme to enable new energy power stations to be connected to the grid in an auxiliary manner to the main power grid. Summary of the Invention

[0004] The purpose of the present invention is to provide a grid connection detection method and system for new energy power stations with multi-dimensional evaluation of power quality 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 grid connection detection method for new energy power stations with multi-dimensional evaluation of power quality, including:

[0007] Access the grid management network, obtain the distribution information of the grid and the load data of the grid at each space-time node to establish a load distribution model, where the space-time node includes a spatial segment and a time segment, which are respectively used to represent the grid location point and the time point within the monitoring period;

[0008] Judge the boosting demand for multiple nodes of the load distribution model according to a preset power supply stability standard to obtain the grid boosting demand, which is used to represent that at a certain space-time node, the line load exceeds the power supply stability standard;

[0009] Obtain the spatial distribution data and corresponding energy supply distribution data of multiple new energy power stations, and match the energy supply distribution data with the grid boosting demand based on the principle of the nearest distance to establish multiple grid connection schemes, where the energy supply distribution data is used to represent the maximum average output capacity of the corresponding new energy power station in the time segment;

[0010] Perform simulation based on the historical output records of the corresponding new energy power station and the historical load records of the power grid, and judge the power supply stability of the simulation results to obtain the overall deviation of multiple grid connection schemes, so as to select the optimal grid connection scheme.

[0011] As a further solution of the present invention: The step of obtaining the distribution information of the power grid and the load data of the power grid at each space-time node to establish a load distribution model specifically includes:

[0012] Divide the power grid into sections based on the evaluation requirements to obtain several spatial segments and their time segments within the monitoring period;

[0013] Perform load evaluation on multiple monitoring periods of each spatial segment. The load evaluation includes the voltage reduction amount and the load occupancy rate. The load occupancy rate is characterized as the percentage value of the actual current to the rated current, that is:

[0014]

[0015] wherein, I represents the actual current value of the current spatial segment in the current time segment, and the I rate represents the rated current value of the current spatial segment line;

[0016] Establish a load distribution model according to the voltage reduction amount and the load occupancy rate of the spatial segment in different time segments. In the distribution model, the spatial segments are arranged in sequence based on the spatial distribution law, and the time segments of the same spatial segment are arranged in sequence based on the time axis. Both the spatial segment and the time segment are optional variables.

[0017] As a further solution of the present invention: In the step of performing load evaluation on multiple monitoring periods of each spatial segment, the actual current is used to characterize the maximum constant value of the current spatial segment within a certain time segment, that is, the current intensity with a stable duration reaching a certain determination time. The step of obtaining the distribution information of the power grid and the load data of the power grid at each space-time node further includes the steps:

[0018] Statistically analyze the short-time peak current of the spatial segment that is higher than the maximum constant value within the time segment, obtain its highest peak value and trigger frequency correspondingly, and record them as short-time peak characteristics;

[0019] Calculate the total duration ratio of the actual current within the current time segment where the short-time peak is located, and calculate the corresponding short-time maximum current value. If the short-time maximum current value exceeds the rated current value, then multiply the total duration ratio and the trigger frequency as the grid connection priority parameter. The larger the grid connection priority parameter, the higher the grid connection priority of the time segment of the current spatial segment on the basis of meeting the power grid boost demand within the range.

[0020] As a further aspect of the present invention: The step of matching the energy supply distribution data with the grid boosting demand based on the principle of the nearest distance and establishing multiple grid connection schemes specifically includes:

[0021] Obtain the output curves of multiple new energy power stations during the monitoring period, and divide the multiple new energy power stations into grid connection groups based on the output time period. The new energy power stations in different grid connection groups can be grid-connected to the same spatially segmented grid;

[0022] Based on the spatial distribution data, establish the grid connection radiation ranges of multiple new energy power stations in the same grid connection group, and each grid connection radiation range corresponds to a time segmented range. The adjacent grid connection radiation ranges adopt the principle of similar radiation radii;

[0023] Judge the priority of the grid boosting demand for multiple spatially segmented sections within the time segmented range in the grid connection radiation range to establish multiple grid connection schemes;

[0024] If multiple spatially segmented sections within the grid connection radiation range do not include the grid boosting demand, judge the grid connection priority of multiple spatially segmented sections to establish multiple grid connection schemes.

[0025] As a further aspect of the present invention: Each new energy power station can be simultaneously connected to multiple spatially segmented sections and independently control the output, and further includes the steps of:

[0026] Obtain an additional energy consumption request, where the energy consumption request includes the corresponding spatially segmented section and time segmented range, and the additional energy consumption request is used to represent the additional production demand of production materials;

[0027] Respond to the additional energy consumption request, sort the grid boosting demands of multiple spatially segmented sections where the new energy power station is grid-connected and output within the time segmented range in ascending order, sequentially select multiple spatially segmented sections and reduce their grid connection priorities to generate a grid connection scheduling plan.

[0028] The embodiment of the present invention aims to provide a grid connection detection system for new energy power stations for multi-dimensional evaluation of power quality, including:

[0029] A load modeling module, used to access the grid management network, obtain the distribution information of the grid and the load data of the grid at each space-time node to establish a load distribution model. The space-time node includes a spatially segmented section and a time segmented range, which are respectively used to represent the grid location point and the time point within the monitoring period;

[0030] A demand determination module, used to determine the boosting demand for multiple nodes of the load distribution model according to a preset power supply stability standard, and obtain the grid boosting demand, where the grid boosting demand is used to represent that at a certain space-time node, the line load exceeds the power supply stability standard;

[0031] The grid connection distribution module is used to obtain the spatial distribution data and corresponding energy supply distribution data of multiple new energy power stations, match the energy supply distribution data with the grid boosting demand based on the principle of the nearest distance, and establish multiple grid connection schemes. The energy supply distribution data is used to characterize the maximum average output capacity of the corresponding new energy power station in time segments.

[0032] The simulation module is used to perform simulation based on the historical output records of the corresponding new energy power stations and the historical load records of the grid, judge the power supply stability of the simulation results, obtain the overall deviation of multiple grid connection schemes, and select the optimal grid connection scheme.

[0033] As a further solution of the present invention: The load modeling module specifically includes:

[0034] The management segmentation unit is used to divide the grid into sections based on the evaluation requirements, and obtain several spatial segments and their time segments within the monitoring period.

[0035] The load evaluation unit is used to evaluate the load of multiple monitoring periods of each spatial segment. The load evaluation includes the voltage reduction amount and the load occupancy rate. The load occupancy rate is characterized as the percentage value of the actual current to the rated current, that is:

[0036]

[0037] Among them, I represents the actual current value of the current spatial segment in the current time segment, and the I rate represents the rated current value of the current spatial segment line.

[0038] The model single room unit is used to establish a load distribution model according to the voltage reduction amount and load occupancy rate of the spatial segment in different time segments. In the distribution model, the spatial segments are arranged in sequence based on the spatial distribution law, and the time segments of the same spatial segment are arranged in sequence based on the time axis. Both the spatial segments and the time segments are optional variables.

[0039] As a further solution of the present invention: In the step of evaluating the load of multiple monitoring periods of each spatial segment, the actual current is used to characterize the maximum constant value of the current spatial segment within a certain time segment, that is, the current intensity with a stable duration reaching a certain determination time. It also includes:

[0040] The peak value statistics unit is used to count the short-time peak current of the spatial segment higher than the maximum constant value within the time segment, obtain its highest peak value and trigger frequency correspondingly, and record it as the short-time peak feature.

[0041] A peak evaluation unit is used to calculate the proportion of the total duration of the actual current in the current time segment where the short-term peak is located, and calculate the corresponding short-term maximum current value. If the short-term maximum current value exceeds the rated current value, then multiply the total duration proportion by the trigger frequency to obtain a grid connection priority parameter. The larger the grid connection priority parameter, the higher the grid connection priority of the current time segment in the current space segment on the basis of meeting the grid voltage boost demand within the range.

[0042] As a further aspect of the present invention: The grid connection allocation module includes:

[0043] A group division unit is used to obtain the output curves of multiple new energy power stations during the monitoring period, and divide the multiple new energy power stations into grid connection groups based on the output time period. The new energy power stations in different grid connection groups can be grid-connected to the same space segment grid.

[0044] A radiation demarcation unit is used to establish the grid connection radiation range of multiple new energy power stations in the same grid connection group based on the spatial distribution data, and each grid connection radiation range corresponds to a time segment range. Adjacent grid connection radiation ranges follow the principle of similar radiation radii.

[0045] A scheme generation unit is used to judge the priority of the grid voltage boost demand for multiple space segments within the time segment range in the grid connection radiation range, so as to establish multiple grid connection schemes.

[0046] An additional generation unit is used to judge the grid connection priority of multiple space segments if none of the multiple space segments in the grid connection radiation range include grid voltage boost demand, so as to establish multiple grid connection schemes.

[0047] As a further aspect of the present invention: It further includes a pre-demand response module, specifically including:

[0048] A demand reservation unit is used to obtain additional energy consumption requests, and the energy consumption requests include the corresponding space segment and time segment of the request. The additional energy consumption requests are used to represent the additional production scheduling requirements of production materials.

[0049] A grid connection reservation unit is used to respond to the additional energy consumption request, sort the grid voltage boost demands of multiple space segments where the new energy power stations are grid-connected and output within the time segment in ascending order, sequentially select multiple space segments and reduce their grid connection priorities, so as to generate a grid connection scheduling plan.

[0050] Compared with the prior art, the beneficial effects of the present invention are as follows: It is used for grid connection management and optimization of distributed new energy power stations. By segmenting the monitoring of the power grid in terms of space and time, it can comprehensively evaluate the power supply quality and stability of the power grid, and then allocate the grid connection of new energy power stations according to requirements to achieve the best grid connection effect. Compared with the method of directly connecting to the main grid line at the nearest distance, it can better balance the power supply state of the power grid and make the overall power supply quality of the power grid more stable. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a flowchart of a grid connection detection method for a new energy power station with multi-dimensional evaluation of power quality.

[0052] Figure 2 It is a flowchart of establishing multiple grid connection schemes in the grid connection detection method for a new energy power station with multi-dimensional evaluation of power quality.

[0053] Figure 3 It is a block diagram of the composition of a grid connection detection system for a new energy power station with multi-dimensional evaluation of power quality. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0054] In order to make the objectives, technical solutions and advantages of the present invention clearer, 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.

[0055] The following describes in detail the specific implementation manners of the present invention with reference to specific embodiments.

[0056] As Figure 1 described, a grid connection detection method for a new energy power station with multi-dimensional evaluation of power quality provided by an embodiment of the present invention includes the following steps:

[0057] S10. Access the grid management network, obtain the distribution information of the power grid and the load data of the power grid at each space-time node to establish a load distribution model. The space-time node includes a space segment and a time segment, which are respectively used to represent the power grid position point and the time point within the monitoring period;

[0058] S20. Determine the boosting requirements for multiple nodes of the load distribution model according to a preset power supply stability standard to obtain the power grid boosting requirements. The power grid boosting requirements are used to represent that at a certain space-time node, the line load exceeds the power supply stability standard;

[0059] S30, obtaining spatial distribution data of multiple new energy power stations and corresponding energy supply distribution data, and matching the energy supply distribution data with the power grid boosting demand based on the principle of closest distance, and establishing multiple grid connection schemes, wherein the energy supply distribution data is used to characterize the maximum average output capacity of the corresponding new energy power station in the time segment;

[0060] S40, performing simulation based on the historical output records of the corresponding new energy power station and the historical load records of the power grid, and judging the power supply stability of the simulation results, obtaining the overall deviation of multiple grid-connected schemes, so as to select the optimal grid-connected scheme.

[0061] In this embodiment, a new energy power station grid connection detection method for multi-dimensional evaluation of power quality is provided, which is used for the grid connection management and optimization of distributed new energy power stations. By performing segmented monitoring of the power grid in space and time, the power supply quality and stability of the power grid can be evaluated as a whole, and then the new energy power station can be distributed to the grid according to the demand to achieve the best grid access effect. Compared with the method of directly accessing the total power grid line at the shortest distance, the power supply state of the power grid can be better balanced, so that the overall power supply quality of the power grid is more stable; specifically, it mainly includes data collection, load spatiotemporal distribution modeling, boost demand analysis, grid connection scheme design, and simulation verification and optimization. When performing data collection and load spatiotemporal distribution modeling, in order to facilitate the subsequent refined load evaluation and grid connection design, the power grid needs to be divided in space and time. By dividing it into multiple grid section intervals, the partitioned load evaluation can be realized, which is convenient for judging the range interval that the new energy power station should be connected to when it is connected to the grid; and by dividing the monitoring period (usually a natural day) into multiple time intervals, the load in different time periods can be realized. Evaluation, the purpose of such setting is to achieve the same new energy power station to be connected to the grid and connected to multiple spatial segments at the same time and output to different spatial segments in multiple time segments within the monitoring period; in the process of establishing the grid connection plan, the selection of the spatial segment that needs to be connected to the grid uses the principle of the closest distance. The principle of the closest distance here is set with a maximum range interval. Even when the distribution density of the new energy power station is low, the selection of the grid connection object will be made within the maximum range interval to reduce the construction cost of the grid connection line; at the same time, when the demand spatial segments within the range interval are sorted and evaluated, it also has the continuation property of a group of spatial segments of the same line. When two spatial segments are on the same continuous line, the nearest selection is made, and the optimal selection object is the middle node (to share the pressure for the first half and ensure the demand for the second half); after the grid connection plan is allocated according to the data calculation, in order to ensure the feasibility of the plan, a simulation process is also set in this embodiment, and the historical record data of the new energy power station and the power grid are used for simulation fitting, so as to simulate the operation of the power grid after the grid connection and judge the effectiveness of multiple grid connection plans.

[0062] As another preferred embodiment of the present invention, the step of obtaining the distribution information of the power grid and the load data of the power grid at each spatio-temporal node to establish a load distribution model specifically includes:

[0063] Based on the evaluation requirements, divide the power grid into sections to obtain several spatial segments and their time segments within the monitoring period;

[0064] Perform load evaluation on multiple monitoring periods of each spatial segment. The load evaluation includes the voltage reduction amount and the load occupancy rate. The load occupancy rate is characterized as the percentage value of the actual current to the rated current, that is:

[0065]

[0066] wherein, I represents the actual current value of the current spatial segment in the current time segment, and the I rate represents the rated current value of the line of the current spatial segment;

[0067] Establish a load distribution model according to the voltage reduction amount and the load occupancy rate of the spatial segment in different time segments. In the distribution model, the spatial segments are arranged in sequence based on the spatial distribution law, and the time segments of the same spatial segment are arranged in sequence based on the time axis. Both the spatial segments and the time segments are optional variables.

[0068] In this embodiment, the establishment process of the load distribution model is supplemented, mainly including the processes of spatial-time division, load evaluation, and load model establishment. Here, the power grid is segmented both spatially and temporally. The purpose is to obtain more detailed data that can represent the load conditions of the corresponding regions; within a monitoring period, the active cycle characteristics of the load objects are different. Therefore, within a complete monitoring period, the concentrated active time periods of the load objects within the spatial segment are also different, resulting in periodic characteristics of the load intensity in different time segments. Through the time segment method, the active states of different time segments can be described more accurately, and then accurate grid connection matching can be performed according to the requirements of different time segments. For the judgment of grid connection, it is comprehensively evaluated through multiple data such as the load occupancy rate and the voltage drop value, depending on the relevant power supply standard specifications of the power grid.

[0069] As another preferred embodiment of the present invention, in the step of performing load evaluation on multiple monitoring periods of each spatial segment, the actual current is used to represent the maximum constant value of the current spatial segment within a certain time segment, that is, the current intensity with a stable duration reaching a certain determination time. The step of obtaining the distribution information of the power grid and the load data of the power grid at each spatio-temporal node further includes the steps:

[0070] Statistically analyze the short - term peak current in the space segment that is higher than the maximum constant value within the time segment, obtain its highest peak value and trigger frequency correspondingly, and record them as short - term peak characteristics;

[0071] Calculate the proportion of the total duration of the actual current within the current time segment where the short - term peak is located, and calculate the corresponding short - term maximum current value. If the short - term maximum current value exceeds the rated current value, then multiply the proportion of the total duration and the trigger frequency to obtain the grid - connection priority parameter. The larger the grid - connection priority parameter, the higher the grid - connection priority of the current time segment of the current space segment on the basis of meeting the grid voltage boost demand within the range.

[0072] In this embodiment, the step of obtaining debt data in the previous embodiment to establish a load distribution model is supplemented, and a short - term peak characteristic is newly introduced. Here, the short - term peak characteristic is defined based on the observation end (that is, the short - term peak current fed back by the monitoring data. If it is based on the generating end, the reasons for its generation are diverse and uncertain. For example, there may be large - scale equipment in this space segment, which will generate extremely large peaks when starting). Such peak characteristics, if generated when the grid line is highly loaded, may affect the operating status of other equipment. Therefore, when the load conditions of multiple space segment lines within the coverage area of the new energy power station are low and do not generate large grid - connection demands, the new energy power station is preferentially grid - connected to the space segment with a high incidence of short - term peak characteristics and a high short - term peak value (that is, a higher grid - connection priority is given to it) to minimize the impact on other equipment when the peak characteristics occur in this area.

[0073] As Figure 2 shown, as another preferred embodiment of the present invention, the step of matching the energy supply distribution data with the grid voltage boost demand based on the principle of the nearest distance and establishing multiple grid - connection schemes specifically includes:

[0074] S31, obtain the output curves of multiple new energy power stations during the monitoring period, and divide the multiple new energy power stations into grid - connection groups based on the output time period. The new energy power stations in different grid - connection groups can be grid - connected to the same space segment power grid;

[0075] S32, establish the grid - connection radiation ranges of multiple new energy power stations in the same grid - connection group based on the spatial distribution data, and each grid - connection radiation range corresponds to a time - segment range. Adjacent grid - connection radiation ranges adopt the principle of similar radiation radii;

[0076] S33, judge the priority of the grid voltage boost demand for multiple space segments within the grid - connection radiation range within the time - segment range to establish multiple grid - connection schemes;

[0077] S34. If none of the multiple spatial segments within the grid connection radiation range include grid boosting requirements, then determine the grid connection priorities of the multiple spatial segments to establish multiple grid connection schemes.

[0078] In this embodiment, the steps for generating a grid connection scheme for a distributed new energy power station are described, mainly including the determination of the power station coverage area and the process of selecting the matching degree of spatial segments and time segments within the range; because the types of new energy power stations are different, the output time periods are also different. For example, the output time period of photovoltaic new energy is mainly during the day (and requires sunny weather), while at night, the temperature difference causes the air flow velocity to increase, and at this time, the output of wind energy new energy will increase to a certain extent. Therefore, according to the output curve of the new energy power station within the cycle, grid connection groups are formed, and multiple new energy power stations with the same output time period are set in the same group, that is, multiple new energy power stations within the same time period are used to cover the entire grid connection control area during this time period, and then the best reasonable allocation is carried out for different time periods within the monitoring cycle. Under such grouping, the same spatial segment may be connected to multiple new energy power stations at the same time and receive the grid connection output of different new energy power stations at different time segments.

[0079] As another preferred embodiment of the present invention, each of the new energy power stations can be simultaneously connected to multiple spatial segments and independently control the output, and further includes the steps:

[0080] Obtain an additional energy consumption request, where the energy consumption request includes the spatial segment and time segment corresponding to the request, and the additional energy consumption request is used to represent the additional production demand of production materials;

[0081] Respond to the additional energy consumption request, sort the grid boosting requirements of the multiple spatial segments where the new energy power station outputs power in ascending order during the time segment, sequentially select multiple spatial segments and reduce their grid connection priorities to generate a grid connection scheduling plan.

[0082] In this embodiment, the grid connection scheduling management of new energy power stations according to planned production requirements is added. When the grid connection in a certain spatial segment supplies a large production base, in some cases, the production base may need to additionally open multiple production lines simultaneously to achieve the production goal, so the energy consumption demand for the grid within the spatial segment will also increase. Therefore, the production base can make an additional energy consumption request in advance to facilitate the new energy power station to perform timely grid connection scheduling to supplement the grid connection immediately during the task time.

[0083] As Figure 3 shown, the present invention also provides a new energy power station grid connection detection system for multi-dimensional evaluation of power quality, which includes:

[0084] The load modeling module 100 is used to access the power grid management network, obtain the distribution information of the power grid and the load data of the power grid at each space-time node, so as to establish a load distribution model. The space-time node includes a space segment and a time segment, which are respectively used to represent the power grid location point and the time point within the monitoring period;

[0085] The demand determination module 200 is used to determine the boosting demand for multiple nodes of the load distribution model according to a preset power supply stability standard, and obtain the power grid boosting demand, which is used to represent that at a certain space-time node, the line load exceeds the power supply stability standard;

[0086] The grid connection allocation module 300 is used to obtain the spatial distribution data of multiple new energy power stations and the corresponding energy supply distribution data, and match the energy supply distribution data with the power grid boosting demand based on the principle of the nearest distance, and establish multiple grid connection schemes. The energy supply distribution data is used to represent the maximum average output capacity of the corresponding new energy power station in the time segment;

[0087] The simulation module 400 is used to perform simulation based on the historical output records of the corresponding new energy power stations and the historical load records of the power grid, and perform power supply stability judgment on the simulation results, obtain the overall deviation of multiple grid connection schemes, so as to select the optimal grid connection scheme.

[0088] As another preferred embodiment of the present invention, the load modeling module specifically includes:

[0089] The management segment unit is used to divide the power grid into sections based on the evaluation requirements, and obtain several space segments and their time segments within the monitoring period;

[0090] The load evaluation unit is used to evaluate the load of multiple monitoring periods of each space segment. The load evaluation includes the voltage reduction amount and the load occupancy rate. The load occupancy rate is characterized as the percentage value of the actual current to the rated current, that is:

[0091]

[0092] wherein, I represents the actual current value of the current space segment in the current time segment, and the I rate represents the rated current value of the current space segment line;

[0093] The model unit is used to establish a load distribution model according to the voltage reduction amount and the load occupancy rate of the space segment in different time segments. In the distribution model, the space segments are arranged in sequence based on the space distribution law, and the time segments of the same space segment are arranged in sequence based on the time axis. Both the space segment and the time segment are optional variables.

[0094] As another preferred embodiment of the present invention, in the step of performing load evaluation on multiple monitoring periods of each space segment, the actual current is used to characterize the maximum constant value of the current space segment within a certain time segment, that is, the current intensity when the stable duration reaches a certain determination time, and further includes:

[0095] A peak statistics unit for statistically analyzing the short-term peak current of the space segment that is higher than the maximum constant value within the time segment, correspondingly obtaining its highest peak value and trigger frequency, and recording them as short-term peak characteristics;

[0096] A peak evaluation unit for calculating the proportion of the total duration of the actual current within the current time segment where the short-term peak is located, and calculating the corresponding short-term maximum current value. If the short-term maximum current value exceeds the rated current value, then the product of the total duration proportion and the trigger frequency is used as the grid connection priority parameter. The larger the grid connection priority parameter, the higher the grid connection priority of the current time segment of the current space segment on the basis of meeting the grid voltage boost demand within the range.

[0097] As another preferred embodiment of the present invention, the grid connection distribution module 300 includes:

[0098] A group division unit for obtaining the output curves of multiple new energy power stations during the monitoring period, and performing grid connection group division on the multiple new energy power stations based on the output time period. The new energy power stations in different grid connection groups can be grid-connected to the same space segment power grid;

[0099] A radiation demarcation unit for establishing the grid connection radiation range of multiple new energy power stations in the same grid connection group based on the spatial distribution data, and each belonging grid connection radiation range corresponds to a time segment range. The adjacent grid connection radiation ranges adopt the principle of similar radiation radii;

[0100] A scheme generation unit for judging the priority of the grid voltage boost demand for multiple space segments within the time segment range of the grid connection radiation range, so as to establish multiple grid connection schemes;

[0101] An additional generation unit for judging the grid connection priority of multiple space segments if the multiple space segments within the grid connection radiation range do not include the grid voltage boost demand, so as to establish multiple grid connection schemes.

[0102] As another preferred embodiment of the present invention, it further includes a pre-demand response module, specifically including:

[0103] A demand reservation unit for obtaining additional energy consumption requests, where the energy consumption requests include the corresponding space segment and time segment of the request, and the additional energy consumption requests are used to characterize the additional production demand of production materials;

[0104] The grid-connection reservation unit is configured to, in response to the additional energy consumption request, sort the grid boosting demands of multiple spatial segments output by the new energy power station during the time period in ascending order, sequentially select multiple spatial segments and reduce their grid-connection priorities to generate a grid-connection scheduling plan.

[0105] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in 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.

[0106] After considering the specification and the disclosure of the embodiments, those skilled in the art will readily think of other embodiments of the present disclosure. The present application is intended to cover any variations, uses, or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common general 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.

[0107] 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 grid connection detection method for new energy power stations with multi-dimensional evaluation of power quality, characterized in that, Including: Access the power grid management network, obtain the distribution information of the power grid and the load data of the power grid at each spatio-temporal node to establish a load distribution model, where the spatio-temporal node includes a spatial segment and a time segment, which are respectively used to represent the power grid location point and the time point within the monitoring period; Determine the boosting requirements for multiple nodes of the load distribution model according to a preset power supply stability standard, and obtain the power grid boosting requirements, which are used to represent that at a certain spatio-temporal node, the line load exceeds the power supply stability standard; Obtain the spatial distribution data and corresponding energy supply distribution data of multiple new energy power stations, and match the energy supply distribution data with the power grid boosting requirements based on the principle of the nearest distance to establish multiple grid connection schemes, where the energy supply distribution data is used to represent the maximum average output capacity of the corresponding new energy power station in the time segment; Conduct simulation based on the historical output records of the corresponding new energy power stations and the historical load records of the power grid, and perform power supply stability judgment on the simulation results to obtain the overall deviation of multiple grid connection schemes, so as to select the optimal grid connection scheme.

2. The new energy power station grid connection detection method for multi-dimensional evaluation of power quality according to claim 1, characterized in that The step of obtaining the distribution information of the power grid and the load data of the power grid at each spatio-temporal node to establish a load distribution model specifically includes: Divide the power grid into sections based on the evaluation requirements to obtain several spatial segments and their time segments within the monitoring period; Conduct load evaluation on multiple monitoring periods of each spatial segment, where the load evaluation includes the voltage drop amount and the load occupancy rate, and the load occupancy rate is characterized as the percentage value of the actual current to the rated current, that is: Among them, I represents the actual current value of the current space segment in the current time segment, and the I rate represents the rated current value of the current space segment line; Establish a load distribution model according to the voltage drop amount and the load occupancy rate of the spatial segment in different time segments. In the distribution model, the spatial segments are arranged in sequence based on the spatial distribution law, and the time segments of the same spatial segment are arranged in sequence based on the time axis. Both the spatial segment and the time segment are optional variables.

3. The new energy power station grid connection detection method for multi-dimensional evaluation of power quality according to claim 2, characterized in that, In the step of conducting load evaluation on multiple monitoring periods of each spatial segment, the actual current is used to represent the maximum constant value of the current spatial segment within a certain time segment, that is, the current intensity with a stable duration reaching a certain judgment time. The step of obtaining the distribution information of the power grid and the load data of the power grid at each spatio-temporal node further includes the step: Statistically analyze the short-term peak current of the spatial segment that is higher than the maximum constant value within the time segment, obtain its highest peak value and trigger frequency, and record them as short-term peak characteristics; Calculate the total duration ratio of the actual current within the current time segment where the short-term peak is located, and calculate the corresponding short-term maximum current value. If the short-term maximum current value exceeds the rated current value, then multiply the total duration ratio and the trigger frequency as the grid connection priority parameter. The larger the grid connection priority parameter, the higher the grid connection priority of the current time segment of the current spatial segment on the basis of meeting the power grid boosting requirements within the range.

4. The new energy power station grid connection detection method for multi-dimensional evaluation of power quality according to claim 3, characterized in that, The step of matching the energy supply distribution data with the power grid boosting requirements based on the principle of the nearest distance to establish multiple grid connection schemes specifically includes: Obtain the output curves of multiple new energy power stations during the monitoring period, and divide the multiple new energy power stations into grid connection groups based on the output time period. The new energy power stations in different grid connection groups can be grid-connected to the same spatially segmented power grid; Based on the spatial distribution data, establish the grid connection radiation ranges of multiple new energy power stations in the same grid connection group, and each grid connection radiation range corresponds to a time segment range. The adjacent grid connection radiation ranges follow the principle of similar radiation radii; Judge the priority of the power grid boosting requirements for multiple spatially segmented sections within the time segment range of the grid connection radiation range to establish multiple grid connection plans; If none of the multiple spatially segmented sections within the grid connection radiation range include power grid boosting requirements, judge the grid connection priority of the multiple spatially segmented sections to establish multiple grid connection plans.

5. The new energy power station grid connection detection method for multi-dimensional evaluation of power quality according to claim 4, characterized in that, Each new energy power station can be connected to multiple spatially segmented sections simultaneously and independently control the output. It further includes the steps: Obtain an additional energy consumption request, where the energy consumption request includes the corresponding spatially segmented section and time segment, and the additional energy consumption request is used to represent the additional production demand of production materials; In response to the additional energy consumption request, sort the power grid boosting requirements of the multiple spatially segmented sections where the new energy power station is grid-connected and output within the time segment in ascending order, select multiple spatially segmented sections in sequence and reduce their grid connection priority to generate a grid connection scheduling plan.

6. A grid connection detection system for a new energy power station for multi-dimensional assessment of power quality, characterized in that, It includes: A load modeling module, used to access the power grid management network, obtain the distribution information of the power grid and the load data of the power grid at each space-time node to establish a load distribution model. The space-time node includes a spatially segmented section and a time segment, which are respectively used to represent the power grid location point and the time point within the monitoring period; A demand determination module, used to determine the boosting requirements of multiple nodes of the load distribution model according to a preset power supply stability standard to obtain the power grid boosting requirements. The power grid boosting requirements are used to represent that at a certain space-time node, the line load exceeds the power supply stability standard; A grid connection allocation module, used to obtain the spatial distribution data and corresponding energy supply distribution data of multiple new energy power stations, and match the energy supply distribution data with the power grid boosting requirements based on the principle of the closest distance to establish multiple grid connection plans. The energy supply distribution data is used to represent the maximum average output capacity of the corresponding new energy power station in the time segment; A simulation module, used to perform simulation based on the historical output records of the corresponding new energy power stations and the historical load records of the power grid, and judge the power supply stability of the simulation results to obtain the overall deviation of multiple grid connection plans to select the optimal grid connection plan.

7. The new energy power station grid connection detection system for multi-dimensional evaluation of power quality according to claim 6, characterized in that, The load modeling module specifically includes: A management segmentation unit, used to divide the power grid into sections based on the evaluation requirements to obtain several spatially segmented sections and their time segments within the monitoring period; A load evaluation unit, used to evaluate the load of each spatially segmented section for multiple monitoring periods. The load evaluation includes the voltage reduction amount and the load occupancy rate. The load occupancy rate is expressed as the percentage of the actual current to the rated current, that is: Among them, I represents the actual current value of the current space segment in the current time segment, and the I rate represents the rated current value of the current space segment line; Model single-room unit, used to establish a load distribution model according to the voltage reduction amount and load occupancy rate in different time segments for the space segments. In the distribution model, the space segments are arranged in sequence based on the space distribution law, and the time segments of the same space segment are arranged in sequence based on the time axis. Both the space segments and the time segments are optional variables.

8. The new energy power station grid connection detection system for multi-dimensional evaluation of power quality according to claim 7, characterized in that In the step of performing load assessment on multiple monitoring periods of each space segment, the actual current is used to characterize the maximum constant value of the current space segment within a certain time segment, that is, the current intensity when the stable duration reaches a certain determination time. It also includes: Peak statistics unit, used to count the short-term peak currents of the space segment that are higher than the maximum constant value within the time segment, obtain its highest peak value and trigger frequency correspondingly, and record them as short-term peak characteristics; Peak evaluation unit, used to calculate the total duration ratio of the actual current within the current time segment where the short-term peak is located, and calculate the corresponding short-term maximum current value. If the short-term maximum current value exceeds the rated current value, then multiply the total duration ratio and the trigger frequency as the grid connection priority parameter. The larger the grid connection priority parameter, the higher the grid connection priority of the time segment of the current space segment on the basis of meeting the grid voltage boost demand within the range.

9. The new energy power station grid connection detection system for multi-dimensional evaluation of power quality according to claim 8, characterized in that, The grid connection allocation module includes: Group division unit, used to obtain the output curves of multiple new energy power stations during the monitoring period, and perform grid connection group division on multiple new energy power stations based on the output time period. The new energy power stations in different grid connection groups can be grid-connected to the same space segment power grid; Radiation demarcation unit, used to establish the grid connection radiation range of multiple new energy power stations in the same grid connection group based on the space distribution data, and each affiliated grid connection radiation range corresponds to a time segment range. The adjacent grid connection radiation ranges adopt the principle of similar radiation radii; Scheme generation unit, used to judge the priority of the grid voltage boost demand for multiple space segments within the time segment range in the grid connection radiation range, so as to establish multiple grid connection schemes; Extra generation unit, used to judge the grid connection priority of multiple space segments if none of the multiple space segments in the grid connection radiation range include the grid voltage boost demand, so as to establish multiple grid connection schemes.

10. The new energy power station grid connection detection system for multi-dimensional assessment of power quality according to claim 9, characterized in that, It also includes a pre-demand response module, specifically including: Demand reservation unit, used to obtain additional energy consumption requests, and the energy consumption requests include the corresponding space segment and time segment of the request. The additional energy consumption requests are used to characterize the additional production scheduling requirements of production materials; Grid connection reservation unit, used to respond to the additional energy consumption request, arrange the grid voltage boost demands of multiple space segments for the grid connection output of the new energy power station within the time segment in ascending order, select multiple space segments in sequence and reduce their grid connection priorities to generate a grid connection scheduling plan.

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