System and method for improving data analysis management of new energy power system

Abstract

The invention relates to the technical field of electric power digital management, in particular to a system and method for improving data analysis management of a new energy electric power system. According to the system, a data access module, a data analysis module, a page display module, an early warning module and the like are constructed, and then the data analysis module provides diversified data analysis functions of a new energy consumption data analysis unit, a resource peak regulation contribution analysis unit, an available power management analysis unit, a row management analysis unit, a prediction analysis unit and the like; and the analysis result is displayed on a visual interface, so that digital management on the power system is facilitated, the flexibility and adaptability of the power system are enhanced, the influence of new energy access on the power system is reduced, and the impact of new energy fluctuation on a power grid is reduced, thereby reducing the dispatching cost, relieving the peak power consumption pressure and improving the power utilization efficiency. The power saving, environmental protection, greenness, intelligence and orderliness are realized, and the safe and stable operation and high-quality development of a power system are promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of power digital management, and in particular to a system and method for improving data analysis and management of a new energy power system. Background Art

[0002] With the continuous advancement of new energy systems, the power supply structure and grid structure are also constantly adjusted and deepened. Compared with traditional power systems, new energy systems are very different in power supply structure and grid structure, and the operating characteristics of the system have also changed greatly.

[0003] Large-scale new energy bases use ultra-high voltage direct current to transmit electricity to load centers over long distances, becoming the main way to balance resources across regions in my country. Renewable energy generation such as solar energy and light energy is highly random and intermittent, and wind power also has the characteristics of reverse peak regulation. The grid connection of renewable energy generation such as solar energy and light energy increases the uncertainty of the power generation side of the power grid. In order to ensure the stability and reliability of power supply, power demand management has gradually become a necessary means to ensure the safety and stability of the power grid and optimize the energy structure.

[0004] The traditional power operation and management system was previously established based on the traditional power generation system. The current power operation and management system is only applicable to situations with a medium or low proportion of renewable energy. In scenarios with a high proportion of renewable energy, wind power and photovoltaics will become the main sources of power supply. When there is no controllable power support such as large-capacity gas units or diesel generators, new flexible and diversified management and analysis mechanisms suitable for renewable energy operations will become a necessary and important means to ensure the balance of the power operation system. Summary of the invention

[0005] Based on this, it is necessary for the present invention to provide a system and method for improving data analysis and management of new energy power systems to solve at least one of the above technical problems.

[0006] To achieve the above-mentioned purpose, a system for improving data analysis and management of new energy power systems includes: a data access module for accessing various basic data in the operation process of new energy; a data analysis module for performing data processing based on the basic data and analysis algorithm, and outputting the results of the data processing to a page display module; a page display module for generating display page data according to a preset display method based on the results of the data processing, and outputting the display page data to a GPU to display the data processing results on a visual interface; the data analysis module includes:

[0007] A new energy consumption data analysis unit, for calculating daily abandoned power, utilization rate, utilization hours, etc. according to the basic data, and storing the daily results in a database;

[0008] A resource peak-shaving contribution analysis unit, used to statistically calculate the daily peak-shaving resource data of various power sources based on the basic data, and store the daily results in a database;

[0009] The available power management and analysis unit is used to directly adjust the available power data of each power module and perform early warning analysis based on the basic data and a preset early warning threshold.

[0010] Furthermore, the data analysis module also includes a data early warning unit, which is used to detect abnormal data such as forecast data and available power data, and send SMS alarms when abnormalities occur.

[0011] Furthermore, it also includes an operation management analysis unit, which is used to output the operation statistical analysis result value to the page display module according to the basic data and preset operation analysis parameters.

[0012] Furthermore, it also includes a prediction analysis unit, which is used to predict the results according to a preset prediction algorithm and the basic data, and output the prediction results to the page display module or the early warning unit.

[0013] Furthermore, it also includes a pumped storage and energy storage analysis unit, which is used to respond to the energy storage analysis parameters selected by the user, perform pumped storage and energy storage analysis based on the basic data, and output the pumped storage and energy storage analysis results to the page display module.

[0014] The present invention also provides a method for improving data analysis and management of a new energy power system, comprising the steps of:

[0015] Step S1, data access: access various basic data during the operation of new energy;

[0016] Step S2, data analysis: performing data processing based on the basic data and the analysis algorithm, and outputting the result of the data processing to the page display module; specifically including:

[0017] Step S21, new energy consumption data analysis: based on the basic data, statistically calculate the daily abandoned power, utilization rate, utilization hours, etc., and store the daily results in the database;

[0018] Step S22, resource peak load contribution analysis: based on the basic data, statistically calculate the daily peak load resource data of various power sources, and store the daily results in a database;

[0019] Step S23, available power management analysis: directly adjusting the available power data of each power module, and performing early warning analysis based on the basic data and a preset early warning threshold;

[0020] Step S3, page display: generating display page data according to a preset display method based on the result of the data processing, and outputting the display page data to the GPU to display the data processing result on a visual interface.

[0021] Furthermore, it also includes step S24, data early warning: abnormal data detection is performed on the predicted data, available power data, etc., and a text message alarm is issued when an abnormality occurs.

[0022] Furthermore, the method further includes step S25, operation management analysis: outputting the operation statistical analysis result value to the page display module according to the basic data and preset operation analysis parameters.

[0023] Furthermore, it also includes step S26, predictive analysis: performing result prediction according to a preset prediction algorithm and the basic data, and outputting the prediction result to the page display module or the early warning unit.

[0024] Furthermore, it also includes step S27, pumped storage and energy storage analysis: responding to the energy storage analysis parameters selected by the user, and performing pumped storage and energy storage analysis according to the basic data, and outputting the pumped storage and energy storage analysis results to the page display module.

[0025] The system and method for improving data analysis and management of new energy power systems of the present invention construct data access modules, data analysis modules, page display modules, early warning modules, etc., and then the data analysis module provides diversified data analysis functions such as new energy consumption data analysis unit, resource peak-shaving contribution analysis unit, available power management analysis unit, row management analysis unit and prediction analysis unit, and displays the analysis results in a visual interface, which is convenient for digital management of power systems, enhances the flexibility and adaptability of power systems, reduces the impact of new energy access on power systems, and reduces the impact of new energy fluctuations on power grids, thereby reducing dispatch costs, alleviating peak power consumption pressure, achieving electricity saving, environmental protection, green, intelligent and orderly, and promoting safe and stable operation and high-quality development of power systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Other features, objectives and advantages of the present invention will become more apparent from a reading of the detailed description of a non-limiting implementation made with reference to the following accompanying drawings.

[0027] Figure 1 It is a schematic diagram of the software framework structure of a system for improving data analysis and management of new energy power systems provided by the present invention.

[0028] Figure 2 It is a flow chart of a method for improving data analysis and management of a new energy power system provided by the present invention.

[0029] Figure 3 yes Figure 2 Schematic diagram of the sub-process of step S2 in FIG.

[0030] Figure 4 It is a schematic diagram of the system hardware structure of a system for improving data analysis and management of new energy power systems in one embodiment of the present invention.

[0031] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0032] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0033] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0034] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0035] To achieve this, please refer to Figure 1 The present invention provides a system for improving data analysis and management of a new energy power system, including: a data access module 10, a data analysis module 20, a page display module 30, a user management module 40 and a report management module 50.

[0036] The data access module 10 is used to access various basic data in the operation process of new energy. Specifically, the basic data may include: real-time and historical sequence data of the D5000 Jincang database, daily power and power extreme value data of the dispatch daily OMS database, day-ahead forecast data and day-ahead weather forecast data uploaded by each region, installed capacity data of the DAMO database model data center, and peak-shaving market related data.

[0037] The data analysis module 20 is used to perform data processing based on the basic data and the analysis algorithm, and output the result of the data processing to the page display module 30.

[0038] The page display module 30 is used to generate display page data according to a preset display method based on the result of the data processing, and output the display page data to the GPU to display the data processing result on a visual interface.

[0039] Furthermore, it also includes a user management module 40 for allocating user rights and managing users.

[0040] Furthermore, it also includes a report management module 50, which is used to provide selection of report output parameters and output corresponding reports according to the report output parameters selected by the user.

[0041] Wherein, the data analysis module 20 includes:

[0042] The new energy consumption data analysis unit 201 is used to calculate the daily abandoned power, utilization rate, utilization hours, etc. according to the basic data, and store the daily results in a database;

[0043] The resource peak load contribution analysis unit 202 is used to statistically calculate the daily peak load resource data of various power sources according to the basic data, and store the daily results in a database;

[0044] The available power management and analysis unit 203 is used to directly adjust the available power data of each power module and perform early warning analysis based on the basic data and a preset early warning threshold.

[0045] Specifically, the new energy consumption data analysis unit 201 may further include:

[0046] The consumption analysis subunit is used to respond to the consumption analysis parameters selected by the user, perform consumption analysis according to the basic data, and output the consumption analysis results to the page display module;

[0047] The consumption data export subunit is used to store and export the consumption analysis results of the consumption analysis subunit in a preset format.

[0048] Preferably, the consumption analysis subunit can realize one or more of the following functions:

[0049] Regional (e.g. province, city, district, etc.) wind power, photovoltaic, and new energy consumption curves, which display the actual output of regional new energy, theoretical power, site available power, network available power, blocked power within the station, grid blocked power, peak load blocked power and other indicator data in the form of curves; you can select any time period to query and export data;

[0050] Ximeng wind power consumption curve, which displays the AC and DC power limits of Ximeng wind power, Xitai DC power, actual output, theoretical power, site available power (corrected), available power of the entire network, thermal power output, wind power limit, blocked power within the station, blocked power for peak load regulation, blocked power of the grid and other indicators in the form of curves; you can select any time period to query and export data;

[0051] Direct-controlled wind farm absorption curve, which displays the actual output, limit, predicted power, theoretical power, station available power (corrected), network available power, AGC instructions, blocked power inside the station, blocked power outside the station and other indicator data of the regional direct-controlled new energy station in the form of a curve; you can select any time period to query and export data;

[0052] Absorption analysis, access to the output data of each coordinated thermal power unit, energy storage unit, pumped storage unit in the area, load, received power, wind power, photovoltaic, nuclear power storage, interconnection lines, etc., statistical analysis of the load rate of thermal power units in the region and provincial grids, absorption space accumulation diagram, etc., and display them in the form of curves.

[0053] Preferably, the consumption data export subunit can realize one or more of the following functions:

[0054] New energy consumption statistics table, which is a report format for statistical analysis of regional and regional new energy power generation, abandoned power, utilization rate, maximum abandoned power and other related indicator data, and can be exported to Excel, Word and other format files;

[0055] A simple statistical table of new energy consumption, which is a report format for statistical analysis of regional and regional new energy power generation, abandoned power, utilization rate, maximum abandoned power and other related indicator data, which can be exported to Excel, Word and other format files;

[0056] Ximeng wind power consumption statistics table, which statistically analyzes the power generation, abandoned power, utilization rate and other related indicators of each wind farm in Ximeng in the form of a report, and can be exported to Excel, Word and other format files;

[0057] Direct dispatch and authorized regional wind power consumption statistics table, statistical analysis of each wind farm's power generation, abandoned power, utilization rate and other related indicators in the form of reports, can be exported to Excel, Word and other format files;

[0058] The peak load-shaving power and electricity analysis table of pumped storage units is used to statistically analyze the daily output, peak load-shaving power and electricity data of each pumped storage unit and energy storage unit in the region, and can be exported to Excel, Word and other format files;

[0059] Daily report on regional new energy consumption, statistical analysis of relevant indicator data such as new energy power generation, abandoned power, utilization rate, etc. of the northern Hebei power grid and its important sections in report form, which can be exported to Excel, Word and other format files.

[0060] It is understandable that, under the premise of having obtained the basic data, the above functions can be realized by a person skilled in the art through a software algorithm according to the calculation needs, and no further details will be given here.

[0061] Furthermore, the data analysis module 20 also includes a data early warning unit 204, which is used to detect abnormal data such as forecast data and available power data, and send SMS alarms when abnormalities occur.

[0062] Furthermore, the data analysis module 20 also includes an operation management analysis unit 205, which is used to output the operation statistical analysis result value to the page display module according to the basic data and preset operation analysis parameters.

[0063] Preferably, the operation management and analysis unit 205 can implement one or more of the following functions:

[0064] Regional power grid new energy installed capacity and power statistics table, statistical analysis of regional and regional new energy installed capacity, power generation, power generation, utilization hours and other indicators in the form of reports, including year-on-year, proportion, occurrence time and other analysis data, can be exported to Excel, Word and other format files;

[0065] A statistical table of new energy installed capacity and power consumption of a certain power grid, which statistically analyzes the data of new energy installed capacity, power generation, power generation, utilization hours and other indicators of a certain area and each region in the form of a report, including year-on-year, proportion, occurrence time and other analytical data, which can be exported to Excel, Word and other format files;

[0066] New energy extreme value statistics table, statistical analysis of the region and each region's new energy maximum and minimum power, load share, installed capacity share, simultaneous rate share; maximum and minimum daily power generation, power generation and purchase share and other related indicators, can be exported to Excel, Word and other format files;

[0067] Statistical table of new energy support capacity for morning peak, evening peak, midday valley, early morning and all day, statistical analysis of regional and provincial networks' extreme and average new energy power for all day, morning peak, evening peak, midday valley, early morning and other periods, time of extreme value occurrence, proportion of load, proportion of installed capacity, proportion of power generation, daily power, power proportion and other data;

[0068] New energy power record high statistics table, which is a table showing the new energy power record high time and power situation of each region and the situation of breaking 100 million from 2019 to date, and can be exported to Excel, Word and other formats;

[0069] New energy electricity record high statistics table, which is a table showing the record high time and power situation of new energy electricity in each region from 2019 to date, and can be exported to Excel, Word and other formats;

[0070] The statistical analysis page for the number of hours of new energy use displays data such as the number of hours of new energy use, electricity consumption, and growth rate for each region and province based on different time scales such as day, week, and month. You can select any time period to query and export data.

[0071] Furthermore, the data analysis module 20 also includes a prediction analysis unit 206, which is used to perform result prediction according to a preset prediction algorithm and the basic data, and output the prediction result to the page display module or the early warning unit.

[0072] Furthermore, the prediction and analysis unit 206 includes a day-ahead prediction subunit, which is used to analyze the actual output, prediction, prediction bandwidth, actual concurrency rate, actual output load share, installed capacity, measured predicted meteorological data and other data of each power module of new energy; based on the displayed data, one or more of the prediction deviation, concurrency rate, peak and valley values ​​and time indicators are statistically analyzed.

[0073] Preferably, the prediction analysis unit 206 can implement one or more of the following functions:

[0074] At 8 pm, the forecast data display page displays the actual output, forecast, forecast bandwidth, actual concurrency rate, actual output load ratio, installed capacity, measured forecast wind speed, irradiance and other data of the region and each province in the form of curves; based on the displayed data, the forecast deviation, concurrency rate, peak and valley values ​​and time and other indicators are statistically analyzed; any time period can be selected to query and export data;

[0075] Report to the National Regulator's forecast page, which displays the data of the region and province reporting to the National Regulator, forecast bandwidth, site availability, and network-wide available power in a curve format; you can select any time period to query and export data;

[0076] The forecast page for a key area shows the actual output of new energy in a key area, day-ahead forecast, ultra-short-term forecast and other data in the form of curves; you can select any time period to query and export data; you can select multiple areas to display superimposed data; based on the displayed data, you can calculate the forecast deviation, simultaneity rate, peak and valley values, time and other indicators;

[0077] The curve page of Ximeng Forecast Benchmarking Platform displays the forecast results of 5 companies in Ximeng in the form of curves, including day-ahead forecasts and ultra-short-term forecasts; you can select any time period to query and export data; you can select multiple regions to display superimposed data; based on the displayed data, you can calculate the forecast deviation, simultaneity, peak and valley values, time and other indicators;

[0078] The forecast analysis page for each province in the region statistically analyzes the new energy forecast accuracy, maximum deviation, maximum deviation percentage installed capacity, occurrence time, maximum load and other related indicators for the region and each region during the whole day, morning and evening peaks, early morning troughs and midday troughs, and can be exported to Excel, Word and other format files;

[0079] The 8 pm forecast analysis page for each province in the region statistically analyzes the accuracy, maximum deviation, maximum deviation percentage installed capacity, occurrence time, maximum load and other related indicators of the new energy forecast data reported at 8 pm for the entire day, morning and evening peaks, early morning troughs and midday troughs in the region and each region, and can be exported to Excel, Word and other format files;

[0080] The regional direct-scheduled wind farm forecast accuracy page statistically analyzes the forecast accuracy, maximum deviation, deviation ratio, ranking, etc. of each wind farm in Ximeng during the whole day, evening peak, and midday valley periods, and can be exported to Excel, Word and other format files;

[0081] The Ximeng wind power short-term forecast benchmark analysis page statistically analyzes the accuracy of Ximeng forecast data reported by five forecast manufacturers, including forecast accuracy for the whole day, evening peak, midday trough and other time periods, maximum deviation, maximum deviation percentage installed capacity, occurrence time, ranking and other related indicators, which can be exported to Excel, Word and other format files.

[0082] Furthermore, it also includes a pumped storage and energy storage analysis unit 207, which is used to respond to the energy storage analysis parameters selected by the user, perform pumped storage and energy storage analysis based on the basic data, and output the pumped storage and energy storage analysis results to the page display module.

[0083] Preferably, the pumped storage and energy storage analysis unit 207 can implement one or more of the following functions:

[0084] Daily report on pumped storage operation, statistical analysis of installed capacity, maximum pumping and generating power, pumped power generation, pumping times, pumping hours and other data of each pumped storage power station in the region;

[0085] Pumped storage operation curve: the curve shows the operating output of the pumped storage power stations in the region and each region. The regional curve shows the positive and negative data of each pumped storage power station and the pumped storage output data of the region itself. If a province has only one pumped storage power station, there is no need to display the superposition curve;

[0086] Tracking and statistics of planned power generation of pumped storage (combined into one), displaying the actual power generation and planned power generation data of the regional operating area and each pumped storage power station in the form of curves and bar charts; you can select any time period to query and export data by different time dimensions such as day, week, month, etc.;

[0087] Tracking and statistics of monthly power generation of pumped storage, including monthly statistics and tracking of power generation plans, actual power generation, power progress, and power generation plan updates of each pumped storage power plant in the region;

[0088] Daily statistics on the operation of new energy storage, which displays the storage capacity, energy, maximum discharge power, maximum charging power, charge and discharge amount, charge and discharge times and other indicators of new energy storage, independent energy storage and equipped energy storage.

[0089] The system for improving data analysis and management of new energy power systems of the present invention constructs a data access module, a data analysis module, a page display module, an early warning module, etc., and then the data analysis module provides a variety of data analysis functions such as a new energy consumption data analysis unit, a resource peak-shaving contribution analysis unit, an available power management analysis unit, a row management analysis unit, and a prediction analysis unit, and displays the analysis results in a visual interface, which is convenient for digital management of the power system, enhances the flexibility and adaptability of the power system, reduces the impact of new energy access on the power system, and reduces the impact of new energy fluctuations on the power grid, thereby reducing dispatch costs, alleviating peak power consumption pressure, achieving electricity saving, environmental protection, green, intelligent and orderly, and promoting safe and stable operation and high-quality development of the power system.

[0090] Please combine Figure 2 and Figure 3 The present invention also provides a method for improving data analysis and management of a new energy power system, comprising the steps of:

[0091] Step S1, data access: access various basic data during the operation of new energy;

[0092] Step S2, data analysis: performing data processing based on the basic data and the analysis algorithm, and outputting the result of the data processing to the page display module; specifically including:

[0093] Step S21, new energy consumption data analysis: based on the basic data, statistically calculate the daily abandoned power, utilization rate, utilization hours, etc., and store the daily results in the database;

[0094] Step S22, resource peak load contribution analysis: based on the basic data, statistically calculate the daily peak load resource data of various power sources, and store the daily results in a database;

[0095] Step S23, available power management analysis: directly adjusting the available power data of each power module, and performing early warning analysis based on the basic data and a preset early warning threshold;

[0096] Step S3, page display: generating display page data according to a preset display method based on the result of the data processing, and outputting the display page data to the GPU to display the data processing result on a visual interface.

[0097] Furthermore, it also includes step S24, data early warning: abnormal data detection is performed on the predicted data, available power data, etc., and a text message alarm is issued when an abnormality occurs.

[0098] Furthermore, the method further includes step S25, operation management analysis: outputting the operation statistical analysis result value to the page display module according to the basic data and preset operation analysis parameters.

[0099] Furthermore, it also includes step S26, predictive analysis: performing result prediction according to a preset prediction algorithm and the basic data, and outputting the prediction result to the page display module or the early warning unit.

[0100] Furthermore, it also includes step S27, pumped storage and energy storage analysis: responding to the energy storage analysis parameters selected by the user, and performing pumped storage and energy storage analysis according to the basic data, and outputting the pumped storage and energy storage analysis results to the page display module.

[0101] It is understandable that the above method for improving data analysis and management of renewable energy power systems is a process step corresponding to the aforementioned system for improving data analysis and management of renewable energy power systems, and the functional implementation of the above system corresponds to the method for improving data analysis and management of renewable energy power systems. The data analysis step in the specific step 2 can realize the functions of any of the above units and sub-units, which will not be repeated here.

[0102] Please combine Figure 4 The system for improving data analysis and management of new energy power systems of the present invention is established and operated on the basis of a computer system, and specifically includes a memory 61, a processor 62, and a computer program 63 stored in the memory 61 and executable on the processor 62. When the processor 62 executes the computer program 63, the steps of the method for improving data analysis and management of new energy power systems as described in any one of the above items are implemented.

[0103] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the computer.

[0104] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0105] The memory may be an internal storage unit, such as a hard disk or a memory; the memory may also be an external storage device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the memory may include both an internal storage unit and an external storage device. The memory is used to store the computer program and other programs and data required by the terminal device. The memory may also be used to temporarily store data that has been output or is to be output.

[0106] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of a system for improving the data analysis and management capabilities of an electric energy system as described in any of the above items.

[0107] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0108] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0109] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0110] In the embodiments provided by the present invention, it should be understood that the disclosed devices / systems and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0111] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0112] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0113] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0114] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0115] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A system for improving data analysis and management of new energy power systems, comprising: Data access module, used to access various basic data during the operation of new energy; A data analysis module, used to perform data processing based on the basic data and analysis algorithm, and output the results of the data processing to the page display module; A page display module is used to generate display page data according to a preset display method based on the result of the data processing, and output the display page data to the GPU to display the data processing result on a visual interface; characterized in that the data analysis module includes: A new energy consumption data analysis unit, for calculating daily abandoned power, utilization rate, utilization hours, etc. according to the basic data, and storing the daily results in a database; A resource peak-shaving contribution analysis unit, used to statistically calculate the daily peak-shaving resource data of various power sources based on the basic data, and store the daily results in a database; The available power management and analysis unit is used to directly adjust the available power data of each power module and perform early warning analysis based on the basic data and a preset early warning threshold.

2. The system for improving data analysis and management of new energy power systems according to claim 1, characterized in that: The data analysis module also includes a data early warning unit, which is used to detect abnormal data such as forecast data and available power data, and send SMS alarms when abnormalities occur.

3. The system for improving data analysis and management of new energy power systems according to claim 1, characterized in that: The data analysis module also includes an operation management analysis unit, which is used to output the operation statistical analysis result value to the page display module according to the basic data and preset operation analysis parameters.

4. The system for improving data analysis and management of new energy power systems according to claim 2, characterized in that: The data analysis module also includes a prediction analysis unit, which is used to perform result prediction based on a preset prediction algorithm and the basic data, and output the prediction result to the page display module or the early warning unit.

5. The system for improving data analysis and management of new energy power systems according to claim 1, characterized in that: The data analysis module also includes a pumped storage and energy storage analysis unit, which is used to respond to the energy storage analysis parameters selected by the user, perform pumped storage and energy storage analysis based on the basic data, and output the pumped storage and energy storage analysis results to the page display module.

6. A method for improving data analysis and management of new energy power systems, characterized in that: Includes steps: Step S1, data access: access various basic data during the operation of new energy; Step S2, data analysis: performing data processing based on the basic data and the analysis algorithm, and outputting the result of the data processing to the page display module; specifically including: Step S21, new energy consumption data analysis: based on the basic data, daily abandoned power, utilization rate, and utilization hours are statistically calculated, and the daily results are stored in a database; Step S22, resource peak load contribution analysis: based on the basic data, statistically calculate the daily peak load resource data of various power sources, and store the daily results in a database; Step S23, available power management analysis: directly adjusting the available power data of each power module, and performing early warning analysis based on the basic data and a preset early warning threshold; Step S3, page display: generating display page data according to a preset display method based on the result of the data processing, and outputting the display page data to the GPU to display the data processing result on a visual interface.

7. The method for improving data analysis and management of new energy power systems according to claim 1, characterized in that: The step also includes: step S24, data early warning: abnormal data detection is performed on the predicted data and the available power data, and a text message alarm is issued if an abnormality occurs.

8. The method for improving data analysis and management of new energy power systems according to claim 1, characterized in that: The step S25 is also included, operation management analysis: outputting the operation statistical analysis result value to the page display module according to the basic data and the preset operation analysis parameters.

9. The method for improving data analysis and management of new energy power systems according to claim 7, characterized in that: It also includes step S26, prediction analysis: performing result prediction according to a preset prediction algorithm and the basic data, and outputting the prediction result to the page display module or the early warning unit.

10. The method for improving data analysis and management of new energy power systems according to claim 1, characterized in that: It also includes step S27, pumped storage and energy storage analysis: responding to the energy storage analysis parameters selected by the user, performing pumped storage and energy storage analysis based on the basic data, and outputting the pumped storage and energy storage analysis results to the page display module.

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