Scheduling method and system for collaborative complementation of wind, light, water, fire and storage

Abstract

The invention discloses a wind-solar-water-fire-storage collaborative and complementary scheduling method and system, and relates to the technical field of electric energy scheduling, and the method comprises the steps: collecting geographical climate environment data and source measurement data in a selected region; dividing an operation scene according to geographical climate environment data, and analyzing complementary coupling characteristics from a time scale and a space scale based on source measurement data; and establishing a day-ahead-intra-day-real-time scheduling system according to the analyzed complementary coupling characteristics. According to the method, a day-ahead-day-real-time scheduling framework with multiple time scales is established under the analysis of the space scale and the time scale, and the scheduling scheme is divided into three levels, so that the problem that the control measure of the existing method is too single is solved, the optimal configuration of resources in different regions is realized, and the scheduling efficiency is improved. And the randomness and volatility of wind and light output and the change of load demand can be flexibly coped with.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy dispatching, and in particular to a dispatching method and system for the coordinated complementarity of wind, solar, water, fire and energy storage. Background Art

[0002] The frequency and voltage control performance of current wind, solar, water, fire and other source measurements still cannot meet the urgent needs of coordinated operation and flexible operation. Although the current new energy standards put forward specific requirements for primary frequency regulation, the actual control strategy adopts the maximum power operation without abandoning wind / solar, which can only guarantee the power reduction strategy of primary frequency regulation at most, and generally lacks the implementation strategy of power increase (such as inertial support, power reservation, energy storage, etc.); thermal power primary frequency regulation also generally has the problem of insufficient regulation due to economic or technical reasons; hydropower generally adopts the opening adjustment mode, resulting in insufficient regulation under low water head and overshoot under high water head. In addition, the power system stabilizer (PSS) is an important basis for the safe operation of large power grids, but many years of application practice have shown that PSS still has problems such as installation location and parameter setting multi-machine coordination, high gain leading to reactive voltage fluctuations, and narrow adaptation frequency band to be solved. Therefore, under the large-scale grid connection of new energy, monitoring and improving the frequency and voltage control performance of wind, solar, water, fire and other source measurements is an important support and guarantee for the implementation of coordinated operation and flexible operation.

[0003] Existing stability control measures are generally stability control technologies that directly cut off new energy stations or disconnect them from the grid, which are relatively simple and extensive. There is still a lack of precise and rapid control and stable coordinated control strategies for the integrated coordinated operation of wind, solar, water, fire and storage. In the new power system with new energy as the main body, it is necessary to analyze the stability characteristics of the system under large-scale random fluctuations in new energy power, make breakthroughs in precise and rapid control, and fully integrate the stability control technology of new energy into the existing stability control system. The present invention aims to provide a dispatching method and system for the coordinated and complementary operation of wind, solar, water, fire and storage to solve the above problems. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is that although the current new energy standards put forward specific requirements for primary frequency regulation, the actual control strategy adopts the maximum power operation without abandoning wind / solar power, which can only guarantee the power reduction strategy of primary frequency regulation at most, and generally lacks the implementation strategy of power increase. The existing stability control measures are generally the stability control technology of directly cutting off the new energy station or decoupling the access to the grid line, which is relatively simple and extensive.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a scheduling method for the coordinated and complementary development of wind, solar, water, fire and storage, which includes collecting geographical climate environment data and source measurement data in a selected area; dividing the operation scenarios according to the geographical climate environment data, and analyzing the complementary coupling characteristics from the time scale and spatial scale based on the source measurement data; establishing a day-ahead, intra-day and real-time scheduling system according to the analyzed complementary coupling characteristics.

[0007] As a preferred solution of the coordinated and complementary dispatching method of wind, solar, water, fire and storage described in the present invention, the geographical climate and environmental data include topographic data, climate and meteorological data, hydrological data and other environmental data; the topographic data include terrain elevation, terrain slope and landform type; the climate and meteorological data include temperature, humidity, wind speed, wind direction, precipitation, air pressure and solar radiation; the hydrological data include river flow, water level and water quality; the other environmental data include soil type and vegetation coverage; the source measurement data include wind power data, solar power data, water level and water quality ... The data includes the output of wind turbines, the status of wind turbines and the total output of wind farms; the photovoltaic data includes the output of photovoltaic panels, the status of photovoltaic panels and the total output of photovoltaic power stations; the hydropower data includes the output of turbines, the water level of reservoirs and the total output of hydropower stations; the thermal power data includes the output of coal-fired units, fuel consumption and the total output of thermal power plants; the energy storage data includes the status of energy storage systems, energy storage capacity and the output of energy storage systems; the power grid data includes power grid frequency, power grid voltage, power grid load and power grid topology.

[0008] As a preferred scheme of the coordinated and complementary scheduling method of wind, solar, water, fire and storage described in the present invention, wherein: the operation scenarios divided according to geographical climate environment data include wind speed scenarios, light scenarios, hydrological scenarios and temperature scenarios; the wind speed scenarios are divided into high wind speed, medium wind speed and low wind speed scenarios according to wind speed distribution; the light scenarios are divided into strong light, medium light and weak light scenarios according to light intensity and duration; the hydrological scenarios are divided into flood season, normal water season and dry season scenarios according to river flow and water level; the temperature scenarios are divided into high temperature, normal temperature and low temperature scenarios according to temperature changes.

[0009] As a preferred solution of the coordinated and complementary dispatching method of wind, solar, water, fire and storage described in the present invention, wherein: the analysis of complementary coupling characteristics from the time scale and spatial scale based on source measurement data includes being divided into short-term scale, medium-term scale and long-term scale in terms of time scale; the analysis of the short-term scale includes extracting wind and solar output data and load data in the short term, analyzing the fluctuation characteristics of wind and solar output, including fluctuation amplitude and frequency, evaluating the response ability of the energy storage system to short-term fluctuations, including charging and discharging speed and capacity, simulating the dispatching strategy in the short term, and analyzing the smoothing effect of the energy storage system on wind and solar output fluctuations; the analysis of the medium-term scale It includes extracting wind and solar power output data and load data in the medium term, analyzing the medium-term change trend of wind and solar power output, including daily and weekly changes, evaluating the scheduling flexibility of hydropower and thermal power, including start and stop time and adjustment range, simulating medium-term scheduling strategies, and analyzing the regulatory effect of hydropower and thermal power on wind and solar power output changes; the long-term scale analysis includes extracting wind and solar power output data and load data in the long term, analyzing the long-term laws of wind and solar power output, including seasonal and annual changes, evaluating the long-term synergistic optimization potential of wind, solar, hydropower, thermal power and storage, including resource complementarity and capacity allocation, formulating long-term scheduling strategies, and analyzing the long-term synergistic effects of wind, solar, hydropower, thermal power and storage.

[0010] As a preferred scheme of the scheduling method for the coordinated complementarity of wind, solar, water, fire and storage described in the present invention, wherein: the analysis of complementary coupling characteristics from the time scale and the spatial scale based on source measurement data also includes being divided into local scale, regional scale and global scale in terms of spatial scale; the analysis at the local scale includes selecting a single wind, solar, water, fire and storage facility as the analysis object, analyzing the output characteristics and load demands between the facilities, and evaluating the complementary coupling relationship between the facilities, including output complementarity and load sharing; the analysis at the regional scale includes selecting several wind, solar, water, fire and storage facilities in a region as the analysis objects, analyzing the output distribution, load demand and transmission network in the region, and evaluating the synergy effect in the region, including resource optimization allocation and transmission efficiency; the analysis at the global scale includes analyzing the global output characteristics, load demand and transmission network of the wind, solar, water, fire and storage facilities within the entire power grid, and evaluating the global complementary coupling characteristics, including cross-regional complementarity and global optimization.

[0011] As a preferred scheme of the coordinated and complementary scheduling method of wind, solar, water, fire and storage described in the present invention, the analysis of complementary coupling characteristics from the time scale and spatial scale based on source measurement data also includes fusing the data analyzed at the time scale and spatial scale to form a multidimensional data set, and using statistical analysis methods to evaluate the degree of complementary coupling of wind, solar, water, fire and storage at different time and spatial scales; analyzing the influence of different factors on the complementary coupling characteristics, and formulating targeted optimization scheduling strategies based on the analysis results.

[0012] As a preferred solution of the coordinated and complementary dispatching method of wind, solar, water, fire and storage described in the present invention, wherein: the establishment of a day-ahead, intraday and real-time dispatching system based on the analyzed complementary coupling characteristics includes the following steps: the day-ahead dispatching framework is established by predicting the wind and solar output, load demand and hydrological conditions within the next day based on the results of long-term and medium-term time scale analysis, and evaluating the distribution and transmission capacity of wind, solar, water, fire and storage resources in different regions based on spatial scale analysis, and formulating a day-ahead dispatching plan based on the prediction and evaluation results, including a power generation plan, an energy storage charging and discharging plan and a water and thermal power dispatching plan; the intraday dispatching framework is established by Based on the results of short-term time scale analysis, the forecast of wind and solar power output and load demand within the day is updated, and the operating status of wind, solar, water, fire and storage facilities and the load of the power grid are monitored using real-time data. According to the updated forecast and real-time monitoring data, the daily dispatch plan is adjusted; the steps for establishing the real-time dispatch framework are: based on the time scale analysis from minutes to hours, the wind and solar power output, load changes and power grid status are monitored in real time, and the complementary coupling status of various parts of the power grid is evaluated in real time using local and regional spatial scale analysis. According to the real-time data and analysis results, the real-time dispatch strategy is executed, including starting and stopping the generator sets and adjusting the charging and discharging of the energy storage system.

[0013] Another object of the present invention is to provide a coordinated and complementary dispatching system for wind, solar, water, fire and storage. This system can divide the operation scenarios according to geographical climate environment data, and analyze the complementary coupling characteristics from the time scale and spatial scale based on source measurement data; and establish a day-ahead, intra-day and real-time dispatching system based on the analyzed complementary coupling characteristics.

[0014] To solve the above technical problems, the present invention provides the following technical solutions: a system for a coordinated and complementary dispatching method of wind, solar, water, fire and storage, comprising: a data acquisition module, a coupling characteristic analysis module and a dispatching system establishment module; the data acquisition module collects geographic climate environment data and source measurement data in a selected area; the coupling characteristic analysis module divides the operation scenarios according to the geographic climate environment data, and analyzes the complementary coupling characteristics from the time scale and spatial scale based on the source measurement data; the dispatching system establishment module establishes a day-ahead, intra-day and real-time dispatching system according to the analyzed complementary coupling characteristics.

[0015] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned scheduling method for coordinated complementarity of wind, solar, water, fire and storage are implemented.

[0016] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a scheduling method for the coordinated complementarity of wind, solar, water, fire and storage as described above.

[0017] The beneficial effects of the present invention are as follows: the existing methods adopt the maximum power operation without abandoning wind / solar power in the actual control strategy, which can only guarantee the power reduction strategy of frequency regulation at most, but generally lack the implementation strategy of power increase, and the existing stability control measures are generally the stability control technology of directly cutting in new energy stations or decoupling and connecting to the grid lines, which are relatively simple and extensive.

[0018] In order to cope with the problem that the existing methods have too single control measures and cannot meet the current changing environmental problems, the present invention establishes a multi-time scale (day-ahead-intraday-real-time) scheduling framework through analysis of both spatial and temporal scales, and divides the scheduling scheme into three levels, which solves the problem that the existing methods have too single control measures, realizes the optimal allocation of resources in different regions, and can flexibly respond to the randomness and volatility of wind and solar power output, as well as changes in load demand.

[0019] The present invention effectively improves the frequency and voltage control capabilities of the power grid through the coordinated and complementary scheduling of wind, solar, water, fire and storage, and reduces the frequency and voltage deviations caused by fluctuations in the output of renewable energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0021] Figure 1 This is a flow chart of a scheduling method for the coordinated complementarity of wind, solar, water, fire and energy storage in Example 1.

[0022] Figure 2 This is a module structure diagram of a wind, solar, water, fire and energy storage coordinated and complementary dispatching system in Example 2. DETAILED DESCRIPTION

[0023] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0024] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0025] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and which provides a coordinated and complementary dispatching method of wind, solar, water, fire and storage, including: Figure 1 As shown:

[0026] S1. Collect geographic climate environment data and source measurement data in the selected area.

[0027] 1. Geographical, climatic and environmental data include topographic and geomorphic data, climate and meteorological data, hydrological data and other environmental data.

[0028] 1. Topographic data:

[0029] Terrain elevation: Collect altitude data of Guizhou Plateau mountains.

[0030] Terrain slope: record terrain slope information in different areas.

[0031] Landform type: Classify and record landform types such as mountains, hills, and plains.

[0032] 2. Climate and meteorological data:

[0033] Temperature: Collect historical and real-time temperature data, including maximum temperature, minimum temperature, etc.

[0034] Humidity: Record air humidity information.

[0035] Wind Speed ​​and Direction: Collect wind speed and direction data at different heights.

[0036] Precipitation: Record historical and real-time precipitation, including rain, snow, etc.

[0037] Air Pressure: Collects atmospheric pressure data.

[0038] Solar radiation: Records the intensity of solar radiation, including direct radiation and diffuse radiation.

[0039] 3. Hydrological data:

[0040] River Flow: Collect historical and real-time flow data for rivers.

[0041] Water level: record water level information of rivers and reservoirs.

[0042] Water quality: Collect water quality data of water bodies, such as pH value, sand content, etc.

[0043] 4. Other environmental data:

[0044] Soil Type: Record the soil types in different areas.

[0045] Vegetation Cover: Collect vegetation coverage and type data.

[0046] 2. Source measurement data includes wind power data, photovoltaic data, hydropower data, thermal power data, energy storage data and power grid data.

[0047] 5. Wind power data:

[0048] Wind turbine output: collect the active and reactive output of each wind turbine in real time.

[0049] Fan status: record the operating status of the fan, such as normal operation, shutdown, maintenance, etc.

[0050] Total wind farm output: summarizes the total output data of the wind farm.

[0051] 6. Photovoltaic data:

[0052] Photovoltaic panel output: real-time collection of active and reactive output of each photovoltaic panel.

[0053] Photovoltaic panel status: record the operating status of the photovoltaic panel.

[0054] Total output of photovoltaic power stations: summarizes the total output data of photovoltaic power stations.

[0055] 7. Hydropower data:

[0056] Turbine output: collect the active and reactive output of each turbine in real time.

[0057] Reservoir water level: record the real-time water level of the reservoir.

[0058] Total output of hydropower stations: summarizes the total output data of hydropower stations.

[0059] 8. Thermal power data:

[0060] Coal-fired / gas-fired unit output: real-time collection of active and reactive output of each coal-fired / gas-fired unit.

[0061] Fuel consumption: Record fuel consumption.

[0062] Total output of thermal power plants: summarizes the total output data of thermal power plants.

[0063] 9. Energy storage data:

[0064] Energy storage system status: records the charging and discharging status of the energy storage system.

[0065] Energy storage capacity: Real-time collection of the remaining capacity of the energy storage system.

[0066] Energy storage system output: collects the active and reactive output of the energy storage system.

[0067] 10. Grid data:

[0068] Grid frequency: Real-time monitoring of grid frequency changes.

[0069] Grid voltage: Collect voltage data at each key node.

[0070] Grid load: record the real-time load data of the grid.

[0071] Grid topology: Update the grid topology information.

[0072] S2. Divide the operation scenarios according to the geographical climate and environmental data, and analyze the complementary coupling characteristics from the time scale and spatial scale based on the source measurement data.

[0073] The operating scenarios divided according to geographical climate environment data include wind speed scenarios, lighting scenarios, hydrological scenarios and temperature scenarios.

[0074] Wind speed scenarios are divided into high wind speed, medium wind speed and low wind speed scenarios according to wind speed distribution.

[0075] Lighting scenes are divided into strong lighting, medium lighting, and weak lighting scenes according to lighting intensity and duration.

[0076] The hydrological scenarios are divided into flood season, normal water season and dry season according to river flow and water level.

[0077] Temperature scenes are divided into high temperature, normal temperature and low temperature scenes according to temperature changes.

[0078] The data is divided into short-term, medium-term and long-term scales. The analysis of the short-term scale includes extracting short-term wind and solar power output data and load data, analyzing the fluctuation characteristics of wind and solar power output, including fluctuation amplitude and frequency, evaluating the response ability of the energy storage system to short-term fluctuations, including charging and discharging speed and capacity, simulating short-term dispatching strategies, and analyzing the smoothing effect of the energy storage system on wind and solar power output fluctuations.

[0079] The medium-term scale analysis includes extracting wind and solar power output data and load data in the medium term, analyzing the medium-term change trend of wind and solar power output, including daily and weekly changes, evaluating the dispatch flexibility of hydropower and thermal power, including start and stop time and adjustment range, simulating the dispatch strategy in the medium term, and analyzing the regulatory effect of hydropower and thermal power on wind and solar power output changes.

[0080] The long-term analysis includes extracting long-term wind and solar power output data and load data, analyzing the long-term patterns of wind and solar power output, including seasonal and annual changes, evaluating the long-term synergistic optimization potential of wind, solar, water, fire and storage, including resource complementarity and capacity allocation, formulating long-term scheduling strategies, and analyzing the long-term synergistic effects of wind, solar, water, fire and storage.

[0081] The data are divided into local scale, regional scale and global scale in terms of spatial scale. The analysis at the local scale includes selecting a single wind, solar, water, fire and storage facility as the analysis object, analyzing the output characteristics and load demands between the facilities, and evaluating the complementary coupling relationship between the facilities, including output complementarity and load sharing.

[0082] The regional-scale analysis includes selecting several wind, solar, water, fire and storage facilities in a region as the analysis objects, analyzing the output distribution, load demand and transmission network in the region, and evaluating the synergy effects in the region, including optimal resource allocation and transmission efficiency.

[0083] The global-scale analysis includes analyzing the global output characteristics, load demand and transmission network of wind, solar, water, fire and storage facilities within the entire power grid, and evaluating the global complementary coupling characteristics, including cross-regional complementarity and global optimization.

[0084] The data from time scale and space scale analysis are integrated to form a multidimensional data set, and statistical analysis methods are used to evaluate the degree of complementary coupling between wind, solar, water, fire and storage at different time and space scales.

[0085] Analyze the influence of different factors on the complementary coupling characteristics, and formulate targeted optimization scheduling strategies based on the analysis results to improve the synergistic and complementary effects of wind, solar, water, fire and storage.

[0086] Verify the effectiveness of analysis results and optimization strategies through simulation or actual operation data, perform iterative optimization based on feedback results, and continuously improve analysis methods and scheduling strategies.

[0087] S3. Establish a day-ahead, intra-day and real-time scheduling system based on the analyzed complementary coupling characteristics.

[0088] The steps to establish the day-ahead dispatch framework are to predict the wind and solar power output, load demand and hydrological conditions in the next day based on the results of long-term and medium-term time scale analysis, evaluate the distribution and transmission capacity of wind, solar, water, fire and storage resources in different regions based on spatial scale analysis, and formulate a day-ahead dispatch plan based on the prediction and evaluation results, including power generation plan, energy storage charging and discharging plan and water and thermal power dispatch plan.

[0089] The steps to establish the intraday dispatch framework are to update the forecast of intraday wind and solar power output and load demand based on the results of short-term time scale analysis, use real-time data to monitor the operating status of wind, solar, water, fire and storage facilities and grid load conditions, and adjust the intraday dispatch plan according to the updated forecast and real-time monitoring data.

[0090] The steps to establish a real-time dispatch framework are to monitor wind and solar power output, load changes and grid status in real time based on time scale analysis from minutes to hours, use local and regional spatial scale analysis to evaluate the complementary coupling status of various parts of the grid in real time, and execute real-time dispatch strategies based on real-time data and analysis results, including starting and stopping generators and adjusting the charging and discharging of energy storage systems.

[0091] Example 2, reference Figure 2, which is the second embodiment of the present invention, and is different from the first embodiment in that: a system for a coordinated and complementary dispatching method of wind, solar, water, fire and storage includes a data acquisition module 100, a coupling characteristic analysis module 200 and a dispatching system establishment module 300; the data acquisition module 100 collects geographic climate environment data and source measurement data in a selected area; the coupling characteristic analysis module 200 divides the operation scenarios according to the geographic climate environment data, and analyzes the complementary coupling characteristics from the time scale and spatial scale based on the source measurement data; the dispatching system establishment module 300 establishes a day-ahead, intra-day and real-time dispatching system according to the analyzed complementary coupling characteristics.

[0092] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0093] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0094] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0095] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0096] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A dispatching method for wind, solar, water, fire and storage synergy and complementation, characterized by: include, Collect geographical climate environmental data and source measurement data in the selected area; Divide the operation scenarios according to the geographical climate and environmental data, and analyze the complementary coupling characteristics from the time scale and spatial scale based on the source measurement data; A day-ahead, intra-day and real-time scheduling system is established based on the analyzed complementary coupling characteristics.

2. A dispatching method for wind, solar, water, fire and storage synergy and complementation as claimed in claim 1, characterized in that: The geographical climate and environmental data include topographic data, climate and meteorological data, hydrological data and other environmental data; The topographic data include topographic elevation, topographic slope and topographic type; The climate and meteorological data include temperature, humidity, wind speed, wind direction, precipitation, air pressure and solar radiation; The hydrological data include river flow, water level and water quality; the other environmental data include soil type and vegetation coverage; The source measurement data includes wind power data, photovoltaic data, hydropower data, thermal power data, energy storage data and power grid data; The wind power data includes wind turbine output, wind turbine status, and total wind farm output; the photovoltaic data includes photovoltaic panel output, photovoltaic panel status, and total photovoltaic power station output; the hydropower data includes turbine output, reservoir water level, and total hydropower station output; the thermal power data includes coal-fired unit output, fuel consumption, and total thermal power plant output; the energy storage data includes energy storage system status, energy storage capacity, and energy storage system output; The grid data includes grid frequency, grid voltage, grid load and grid topology.

3. A dispatching method for wind, solar, water, fire and storage synergy and complementation as claimed in claim 2, characterized in that: The operation scenarios divided according to the geographical climate environment data include wind speed scenarios, light scenarios, hydrological scenarios and temperature scenarios; The wind speed scenario is divided into high wind speed, medium wind speed and low wind speed scenarios according to the wind speed distribution; The lighting scenes are divided into strong lighting, medium lighting and weak lighting scenes according to lighting intensity and duration; The hydrological scenario is divided into flood season, normal water season and dry season scenarios according to river flow and water level; The temperature scenes are divided into high temperature, normal temperature and low temperature scenes according to temperature changes.

4. A dispatching method for wind, solar, water, fire and storage synergy and complementation as claimed in claim 3, characterized in that: The analysis of complementary coupling characteristics from the time scale and space scale based on source measurement data includes dividing the time scale into short-term scale, medium-term scale and long-term scale; The short-term analysis includes extracting wind and solar power output data and load data in the short term, analyzing the fluctuation characteristics of wind and solar power output, including fluctuation amplitude and frequency, evaluating the response capability of the energy storage system to short-term fluctuations, including charging and discharging speed and capacity, simulating the dispatching strategy in the short term, and analyzing the smoothing effect of the energy storage system on wind and solar power output fluctuations; The medium-term scale analysis includes extracting wind and solar power output data and load data in the medium term, analyzing the medium-term change trend of wind and solar power output, including daily and weekly changes, evaluating the dispatch flexibility of hydropower and thermal power, including start and stop time and regulation range, simulating the dispatch strategy in the medium term, and analyzing the regulatory effect of hydropower and thermal power on wind and solar power output changes; The long-term scale analysis includes extracting long-term wind and solar power output data and load data, analyzing the long-term patterns of wind and solar power output, including seasonal and annual changes, evaluating the long-term synergistic optimization potential of wind, solar, water, fire and storage, including resource complementarity and capacity allocation, formulating long-term scheduling strategies, and analyzing the long-term synergistic effects of wind, solar, water, fire and storage.

5. The method for coordinated and complementary dispatching of wind, solar, water, fire and energy storage as claimed in claim 4, characterized in that: The said analyzing the complementary coupling characteristics from the time scale and the spatial scale based on the source measurement data also includes dividing the spatial scale into a local scale, a regional scale and a global scale; The local scale analysis includes selecting a single wind, solar, water, fire and storage facility as the analysis object, analyzing the output characteristics and load requirements between the facilities, and evaluating the complementary coupling relationship between the facilities, including output complementarity and load sharing; The regional scale analysis includes selecting a number of wind, solar, water, fire and storage facilities in a region as the analysis objects, analyzing the output distribution, load demand and transmission network in the region, and evaluating the synergy effect in the region, including resource optimization allocation and transmission efficiency; The global-scale analysis includes analyzing the global output characteristics, load demand and transmission network of wind, solar, water, fire and storage facilities within the entire power grid, and evaluating the global complementary coupling characteristics, including cross-regional complementarity and global optimization.

6. A dispatching method for wind, solar, water, fire and storage synergy and complementation as claimed in claim 5, characterized in that: The analyzing the complementary coupling characteristics from the time scale and the space scale based on the source measurement data also includes fusing the data analyzed from the time scale and the space scale to form a multidimensional data set, and using statistical analysis methods to evaluate the degree of complementary coupling of wind, solar, water, fire and storage at different time and space scales; Analyze the impact of different factors on the complementary coupling characteristics, and formulate targeted optimization scheduling strategies based on the analysis results.

7. A dispatching method for wind, solar, water, fire and storage synergy and complementation as claimed in claim 6, characterized in that: The establishment of a day-ahead, intra-day, and real-time dispatching system based on the analyzed complementary coupling characteristics includes the following steps: the steps of establishing a day-ahead dispatching framework are: based on the results of long-term and medium-term time scale analysis, predicting the wind and solar output, load demand, and hydrological conditions within the next day; based on spatial scale analysis, evaluating the distribution and transmission capacity of wind, solar, water, fire, and storage resources in different regions; and formulating a day-ahead dispatching plan based on the prediction and evaluation results, including a power generation plan, an energy storage charging and discharging plan, and a water and thermal power dispatching plan; The steps to establish the intraday dispatch framework are: based on the results of the short-term time scale analysis, update the forecast of wind and solar power output and load demand within the day, use real-time data to monitor the operating status of wind, solar, water, fire and storage facilities and the load of the power grid, and adjust the intraday dispatch plan according to the updated forecast and real-time monitoring data; The steps to establish a real-time dispatch framework are to monitor wind and solar power output, load changes and grid status in real time based on time scale analysis from minutes to hours, use local and regional spatial scale analysis to evaluate the complementary coupling status of various parts of the grid in real time, and execute real-time dispatch strategies based on real-time data and analysis results, including starting and stopping generators and adjusting the charging and discharging of energy storage systems.

8. A system using a dispatching method for wind, solar, water, fire and storage coordination and complementation as claimed in any one of claims 1 to 7, characterized in that: It includes a data acquisition module (100), a coupling characteristic analysis module (200) and a scheduling system establishment module (300); The data collection module (100) collects geographical climate environment data and source measurement data in a selected area; The coupling characteristic analysis module (200) divides the operation scenes according to the geographical climate environment data, and analyzes the complementary coupling characteristics from the time scale and the spatial scale based on the source measurement data; The scheduling system establishment module (300) establishes a day-ahead, intra-day, and real-time scheduling system according to the analyzed complementary coupling characteristics.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a scheduling method for the coordinated complementarity of wind, solar, water, fire and storage are implemented as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of a scheduling method for the coordinated complementarity of wind, solar, water, fire and storage are implemented as described in any one of claims 1 to 7.

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