Source network load storage energy flow intelligent regulation and control system and method based on cloud computing

Abstract

The invention relates to the technical field of power grid power supply balance regulation and control processing, and discloses a source network load storage energy flow intelligent regulation and control system and method based on cloud computing, and the system comprises a source network load storage operation state analysis module, a source network load storage energy flow regulation and control parameter analysis module, and a source network load storage energy flow regulation and control execution module. A power load supply-demand difference value of a power grid side of a target power supply area is accurately counted based on data operation, and power load regulation and control objects required by the power grid side of the target power supply area are intelligently screened in combination with an intelligent recognition algorithm and regulation and control feature information and identity feature information of the power load regulation and control objects of the target power supply area. Scientific and dynamic matching of a power grid side power load regulation and control object of a target power supply area is realized, the power energy flow regulation and control precision and efficiency of a power supply side, an energy storage side and a power grid side in source grid load storage are improved, and the operation safety and the power resource utilization efficiency of a power system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid power supply balance control processing, and specifically to a source-grid-load-storage energy flow intelligent control system and method based on cloud computing. Background Art

[0002] Source-grid-load-storage integration is a new type of power operation mode with "power source, power grid, load, and energy storage" as the overall planning. This mode can accurately control the power load and energy storage resources in the regional power system, effectively solve the system frequency and voltage fluctuation problems caused by the gradual increase in the proportion of renewable energy power generation output in the regional power system, improve the ability to absorb renewable energy power generation, and improve the safe operation level of the regional power grid, becoming an important way to promote energy transformation and power system upgrades. Source-grid-load-storage integration has the following advantages: 1. Source complementarity: Through the coordination and complementarity between flexible power generation resources and clean energy, the randomness and volatility of clean energy power generation output caused by environmental and meteorological factors can be solved, the utilization efficiency of renewable energy can be effectively improved, the rotating reserve of the power grid can be reduced, and the autonomous regulation ability of the system can be enhanced. 2. Source-grid coordination: On the basis of the coordinated operation of the existing power source and power grid, the "unfriendly" problem of large-scale grid connection of new energy and distributed power access to the power grid can be effectively solved through new grid regulation technology, so that new energy and conventional power sources can participate in grid regulation together, so that new energy can develop in the direction of friendly regulation ability and characteristics. 3. Interaction between grid and load: On the basis of signing an agreement with users and taking incentive measures, loads are converted into adjustable resources of the power grid. When problems occur or are about to occur in the power grid, the load is actively adjusted and responded to change the power flow distribution to ensure the safe, economical and reliable operation of the power grid. 4. Interaction between grid and storage: Give full play to the two-way regulation function of energy storage devices. Energy storage devices charge as loads during low power consumption and release electricity as power sources during peak power consumption. Their fast, stable and accurate charging and discharging regulation characteristics can provide the power grid with peak regulation, frequency regulation, standby, demand response and other services. 5. Interaction between source and load: Smart grids are composed of multiple power sources and loads with wide distribution in time and space. Both the power supply side and the load side can participate in the balance control of power supply and demand as dispatchable resources. The flexible change of load has become one of the important means to balance power supply fluctuations. Guiding users to change their electricity consumption habits and behaviors can gather various flexible and adjustable resources to participate in the peak regulation of the power system and the consumption of new energy. The existing source-grid-load-storage energy flow control system cannot realize scientific and intelligent control of the operating status of the power supply side, grid side, load side and energy storage side in the power system, which reduces the operating safety of the power system and the quality of power resource utilization.

[0003] The Chinese invention patent with announcement number CN117811053B discloses a coordinated interactive control method, device and system for source-grid-load-storage, which establishes the power topology relationship of the subject's resources; forms multiple demand-side resource aggregates based on all resources in the power topology relationship; determines the target demand-side resource aggregates participating in the control according to the preset control target and the regulation capability of each demand-side resource aggregate, and executes the control strategy according to the control strategy of the target demand-side resource aggregate. Improve the operating efficiency and energy utilization of the system; however, the above technical solutions cannot scientifically and intelligently control the operating status based on the real-time operating status of the power supply side, grid side, load side and energy storage side in the power system, which reduces the stability and safety of the power system operation. Summary of the invention

[0004] 1. Technical issues to be resolved In order to solve the problem that the above-mentioned existing source-grid-load-storage energy flow control system cannot realize scientific and intelligent control of the operating status of the power supply side, grid side, load side and energy storage side in the power system, which reduces the operating safety of the power system and the quality of power resource utilization, the above purpose is to realize online collection of power load parameters on the grid side of the target power supply area and power load parameters on the user side of the target power supply area, accurately analyze the power supply operating status information on the grid side of the target power supply area, accurately collect characteristic text information of the target power supply area, accurately search for power load control object information in the target power supply area, efficiently obtain control characteristic parameters of power load control objects in the target power supply area, scientifically count the power load supply and demand difference on the grid side of the target power supply area, accurately match the power load control object information on the grid side of the target power supply area, and autonomously and efficiently execute source-grid-load-storage energy flow control operations.

[0005] (II) Technical solution The present invention is implemented by the following technical scheme: a cloud computing-based source-grid-load-storage energy flow intelligent control method, the method comprising the following steps: S1. Collecting power load data on the grid side of the target power supply area and power load data on the user side of the target power supply area; S2. Analyze and process the power supply operation status of the target power supply area based on the power load parameters of the power grid and user in the target power supply area, generate power supply operation status analysis data of the power grid in the target power supply area, and directly terminate the source-grid-load-storage energy flow control operation when it is in a balanced state; S3. When in an unbalanced state, collecting characteristic text data of the target power supply area; S4, performing a search process for the electric load control object information of the target power supply area according to the characteristic text data of the target power supply area, constructing the electric load control object text data of the target power supply area and performing a search process for the control characteristic information of the electric load control object of the target power supply area, and constructing the control characteristic text data of the electric load control object of the target power supply area; S5. Based on the power load parameters on the power grid side and the user side of the target power supply area, numerical processing of the power load supply and demand on the power grid side of the target power supply area is performed to measure the power load supply and demand difference on the power grid side of the target power supply area; S6, based on the target power supply area grid side power load supply and demand difference, the target power supply area power load control object control feature text data and the target power supply area power load control object text data, the target power supply area grid side power load control object information analysis, generate the target power supply area grid side power load control object text data; S7, construct the source-grid-load-storage energy flow control result data and execute the source-grid-load-storage energy flow control operation.

[0006] Preferably, the operation steps of collecting the power load data on the grid side of the target power supply area and the power load data on the user side of the target power supply area are as follows: S11. Collect the real-time power load parameters of the power supply network of the target power supply area online through the power management platform, and generate the power load data of the power grid side of the target power supply area. ,in The unit is megawatt, and the target power supply area indicates the administrative area where the target power system power supply network is located; The power management platform collects the real-time power load parameters of the power system user side in the target power supply area online, and generates the power load data of the user side in the target power supply area ,in The unit is megawatt.

[0007] Preferably, the grid-side power supply operation status analysis and processing of the target power supply area is performed based on the grid-side and user-side power load parameters of the target power supply area to generate the grid-side power supply operation status analysis data of the target power supply area. When it is in a balanced state, the operation steps of directly ending the source-grid-load-storage energy flow regulation operation are as follows: S21, the power load data of the power grid side of the target power supply area The power load data of the user side of the target power supply area Compare the power load values ​​and generate the power supply operation status analysis data of the target power supply area based on the power load value comparison results. ; when = , indicating that the power supply load on the grid side of the target power supply area is in a balanced state with the demand load on the user side, then the power supply operation status analysis data on the grid side of the target power supply area is output It is in a balanced state, and the source-grid-load-storage energy flow control operation is directly terminated at this time; when ≠ , indicating that the power supply load on the grid side of the target power supply area and the demand load on the user side are in an unbalanced state, then the power supply operation status analysis data on the grid side of the target power supply area is output It is a non-equilibrium state.

[0008] Preferably, when the state is unbalanced, the operation steps of collecting characteristic text data of the target power supply area are as follows: S31, when the target power supply area power grid side power supply operation status analysis data When the power supply area is in an unbalanced state, the information collection dialog box of the power management platform collects the identity feature text information of the target power supply area online and generates the target power supply area feature text data. The target power supply area characteristic text data includes name text data, geographic location text data, area code text data and postal code text data of the target power supply area.

[0009] Preferably, the target power supply area characteristic text data is used to search for the power load control object information of the target power supply area, the target power supply area power load control object text data is constructed, and the target power supply area power load control object control characteristic information search is performed, and the operation steps of constructing the target power supply area power load control object control characteristic text data are as follows: S41, the target power supply area characteristic text data Import the power management platform to search and process the identity feature text information of the power load control objects in the target power supply area, and construct a text data set of the power load control objects in the target power supply area , ;in Indicates the target power supply area for collection. The text data of the target power supply area power load regulation object corresponding to the power load regulation object, Indicates the maximum value of the number of power load regulation objects, the power load regulation objects include power stations, distributed renewable energy power generation objects and power energy storage objects, the power stations include thermal power stations, hydropower stations and nuclear power stations; the distributed renewable energy power generation objects include wind power generation objects and photovoltaic power generation objects; the power energy storage objects include battery energy storage objects, pumped storage objects, compressed air energy storage objects and electrochemical energy storage objects; the target power supply area power load regulation object text data includes the name text data, identity number text data and geographic location text data of the target power supply area power load regulation object; S42: The target power supply area power load control object text data set The text data of the target power supply area power load regulation object The power load control object is imported into the power management platform in order according to the power load control object number to search and process the control feature text information of the power load control object in the target power supply area, and generate the control feature text data set of the power load control object in the target power supply area ,in Indicates the target power supply area for collection. The target power supply area power load control object control feature text data corresponding to the power load control object, the target power supply area power load control feature text data includes the total power load control parameter, the used power load control parameter and the remaining power load control parameter of the power load control object in the target power supply area, and the units of the total power load control parameter, the used power load control parameter and the remaining power load control parameter are all megawatts; When the power load control object is a power station, the total power load control parameter of the power station represents the total power load control parameter of the power station for power load control on the grid side by increasing or decreasing power generation, the used power load control parameter of the power station represents the used power load control parameter of the power station for power load control on the grid side by increasing or decreasing power generation, and the remaining power load control parameter of the power station represents the remaining power load control parameter of the power station for power load control on the grid side by increasing or decreasing power generation; Wherein, when the power load control object is a distributed renewable energy power generation object, the total power load control parameter of the distributed renewable energy power generation object represents the total power load control parameter of the distributed renewable energy power generation object for power load control on the grid side by charging and discharging, the used power load control parameter of the distributed renewable energy power generation object represents the used power load control parameter of the distributed renewable energy power generation object for power load control on the grid side by charging and discharging, and the remaining power load control parameter of the distributed renewable energy power generation object represents the remaining power load control parameter of the distributed renewable energy power generation object for power load control on the grid side by charging and discharging; When the power load control object is an electric energy storage object, the total power load control parameter of the electric energy storage object represents the total power load control parameter of the electric energy storage object for grid-side power load control by charging and discharging, the used power load control parameter of the electric energy storage object represents the used power load control parameter of the electric energy storage object for grid-side power load control by charging and discharging, and the remaining power load control parameter of the electric energy storage object represents the remaining power load control parameter of the electric energy storage object for grid-side power load control by charging and discharging.

[0010] Preferably, the operation steps of performing numerical processing of the power load supply and demand of the power grid side of the target power supply area based on the power load parameters of the power grid side and the user side of the target power supply area and measuring the power load supply and demand difference of the power grid side of the target power supply area are as follows: S51, the power load data of the power grid side of the target power supply area The power load data of the user side of the target power supply area Perform differential processing on the power load values ​​to measure the difference between power supply and demand on the power grid side in the target power supply area ,in , The unit is megawatt; when >0, it means that the power supply load on the grid side of the target power supply area is greater than the demand load on the user side. At this time, it is necessary to reduce the power supply load on the grid side of the target power supply area. <0, indicating that the grid-side power supply load in the target power supply area is less than the required load on the user side. In this case, the grid-side power supply load in the target power supply area needs to be increased.

[0011] Preferably, based on the target power supply area grid side power load supply and demand difference, the target power supply area power load control object control feature text data and the target power supply area power load control object text data, the target power supply area grid side power load control object information analysis is performed to generate the target power supply area grid side power load control object text data. The operation steps are as follows: S61. Obtaining a text data set of the target power supply area power load regulation object , the target power supply area power load control object control feature text data set , the difference between power supply and demand of the power grid side in the target power supply area ; S62: the power supply and demand difference of the power grid side in the target power supply area The corresponding absolute value of the power load supply and demand difference and the control feature text data set of the power load control object in the target power supply area The control characteristic text data of the power load control object in the target power supply area The corresponding remaining power load control parameters are compared with the power load values ​​to search for the control feature text data of the power load control object in the target power supply area. The corresponding remaining power load control parameter is greater than and close to the power load supply and demand difference of the power grid side in the target power supply area. The target power supply area power load control object control feature text data corresponding to the absolute value of the power load supply and demand difference , perform a search to find out the difference between the power supply and demand of the power grid side in the target power supply area The control feature text data of the power load control object in the target power supply area that matches The specific steps are as follows: S621, initialization, setting the maximum number of iterations T of the algorithm; S622, propagation: propagating the target power supply area power load control object control feature text data set The control characteristic text data of the power load control object in the target power supply area Synchronous setting is water wave, each of the target power supply area power load control object control characteristic text data The water wave is an independent individual, so the control feature text data of the power load control object in each target power supply area Water waves will have 3 properties: position, wavelength and wave height ; In each iteration, each target power supply area power load control object control feature text data Water waves will propagate to the target power supply area power load control object control feature text data set The target power supply area power load regulation object regulation feature text data in the search space The corresponding remaining power load control parameter and the difference between the power supply and demand of the power grid side in the target power supply area The corresponding absolute value of the power load supply and demand difference is used to search and compare the power load value. It will decrease by 1, and its position update formula is as follows: ,in Indicates that in the propagation stage After iterations, water waves A control feature text data set of the power load control object in the target power supply area Position in the search space; Indicates that in the propagation stage Water wave before iteration A control feature text data set of the power load control object in the target power supply area Position in the search space; , They are respectively a set of control feature text data of the power load control object in the target power supply area The upper and lower bounds in the search space, Indicates value Random function of S623, reflection: control feature text data of power load control object in the target power supply area After the water wave propagates, the target power supply area power load control object control feature text data Water wave refraction and control feature text data set of the power load control object in the target power supply area The target power supply area power load regulation object regulation feature text data in the search space The corresponding remaining power load control parameter and the difference between the power supply and demand of the power grid side in the target power supply area The corresponding absolute value of the power load supply and demand difference is used to search and compare the power load value, and each time the power load control object control feature text data of the target power supply area is propagated water wave height will decrease by 1 when When it decreases to 0, the control feature text data of the target power supply area power load control object The water waves will be refracted, and their height and wavelength will change; the refracted position is normally distributed in the current target power supply area power load control object control feature text data Water wave and optimal target power supply area power load control object control feature text data The midpoint of the water wave is the mean value, and the control feature text data of the power load control object in the current target power supply area Water wave and optimal target power supply area power load control object control feature text data The water wave distance is the position of the variance, and after refraction, the target power supply area power load control object control feature text data The height of the water wave will be reinitialized to the maximum wave height After refraction, recalculate the control feature text data of the target power supply area power load control object Wavelength of water waves ; S624, breaking waves: text data of control characteristics of the power load control object in the target power supply area Water wave control feature text data set of power load control object in the target power supply area After propagation in the search space, the control feature text data of the power load control object in the target power supply area is reached, which is better than the current optimal one. The location of the water wave, that is, the control feature text data set of the power load control object in the target power supply area The search space searches for the difference between the power supply and demand of the power grid side in the target power supply area. The control feature text data of the power load control object in the target power supply area that matches The target power supply area power load control object control feature text data The water waves will break and the current optimal target power supply area power load control object control feature text data The water wave propagates to the location where the breaking waves are generated, that is, the difference between the power supply and demand of the power grid side in the target power supply area The control feature text data of the power load control object in the target power supply area that matches The formula for generating the breaking wave position is as follows: ,in Indicates that in the breaking wave stage After iterations, water waves A control feature text data set of the power load control object in the target power supply area The position in the search space, Indicates value The random function of to It means that each breaking wave is randomly located in the space dimension The target power supply area power load control object control feature text data set The number of the spatial dimension selected in the search space, represents the spatial dimension that is actually randomly selected for each breaking wave, to represents the specific spatial dimension parameter randomly selected for each breaking wave, is a constant; S625: When the maximum number of iterations of the algorithm is met, the difference between the power supply and demand of the power grid side in the target power supply area is output. The control feature text data of the power load control object in the target power supply area ; S63, the target power supply area power load control object control feature text data output in step S625 The corresponding power load control object is identified and the target power supply area grid side power load control object identity data is generated. ; S64: the target power supply area grid side power load control object identity data The target power supply area power load regulation object text data set The text data of the target power supply area power load regulation object Perform character matching on the power load control object number to search for the power load control object identity data on the grid side of the target power supply area The corresponding target power supply area power load control object text data , and generate the text data of the power load control object on the grid side of the target power supply area through data identification .

[0012] Preferably, the operation steps of constructing the source-grid-load-storage energy flow control result data and executing the source-grid-load-storage energy flow control operation are as follows: S71: The power supply and demand difference of the power grid side in the target power supply area and the target power supply area grid side power load control object text data Combine data and construct source-grid-load-storage energy flow control result data ,in ; S72, the power flow management platform controls the energy flow of the source, grid, load and storage energy according to the result data Text data of the target power supply area grid-side power load control object The target power supply area grid side power load control object is controlled according to the target power supply area grid side power load supply and demand difference Execute source-grid-load-storage energy flow control operations; when >0, the power flow management platform controls the text data of the power load regulation object on the grid side of the target power supply area The corresponding target power supply area grid-side power load control object is as follows Carry out power supply load reduction operations on the grid side of the target power supply area; when When <0, the power flow management platform controls the text data of the power load regulation object on the grid side of the target power supply area The corresponding target power supply area grid-side power load control object is as follows Execute the grid-side power supply load increase operation in the target power supply area, including Indicates the difference between power supply and demand of the power grid side in the target power supply area The absolute value of .

[0013] A source-grid-load-storage energy flow intelligent control system based on cloud computing, used to implement the source-grid-load-storage energy flow intelligent control method based on cloud computing, the system includes a source-grid-load-storage operation status analysis module, a source-grid-load-storage energy flow control parameter analysis module, and a source-grid-load-storage energy flow control execution module; data processing of the source-grid-load-storage operation status analysis module, the source-grid-load-storage energy flow control parameter analysis module, and the source-grid-load-storage energy flow control execution module are all based on cloud computing for data processing; The source-grid-load-storage operation status analysis module includes a target power supply area grid-side power load parameter acquisition unit, a target power supply area user-side power load acquisition unit, and a target power supply area grid-side power supply operation status analysis unit; The target power supply area grid-side power load parameter acquisition unit collects the target power supply area grid-side power load data through the power management platform; the target power supply area user-side power load acquisition unit collects the target power supply area user-side power load data through the power management platform; the target power supply area grid-side power supply operation status analysis unit performs grid-side power supply operation status analysis and processing in the target power supply area based on the grid-side and user-side power load parameters in the target power supply area, and generates the target power supply area grid-side power supply operation status analysis data; The source-grid-load-storage energy flow control parameter analysis module includes a target power supply area feature text information collection unit, a target power supply area power load control object information search unit, a target power supply area power load control object control feature parameter search unit, a target power supply area grid side power load supply and demand difference statistics unit, and a target power supply area grid side power load control object information analysis unit; The target power supply area characteristic text information collection unit collects the target power supply area characteristic text data through the power management platform; the target power supply area power load control object information search unit performs power load control object information search processing in the target power supply area according to the target power supply area characteristic text data combined with the power management platform to construct the target power supply area power load control object text data; the target power supply area power load control object control characteristic parameter search unit performs power load control object control characteristic information search processing in the target power supply area according to the target power supply area power load control object text data combined with the power management platform to construct the target power supply area power load control object control characteristic parameter search unit Characteristic text data; the target power supply area grid-side power load supply and demand difference statistical unit performs numerical processing of the target power supply area grid-side power load supply and demand based on the grid-side and user-side power load parameters of the target power supply area, and measures the target power supply area grid-side power load supply and demand difference; the target power supply area grid-side power load control object information analysis unit performs target power supply area grid-side power load required power load control object information analysis based on the target power supply area grid-side power load supply and demand difference, the target power supply area power load control object control characteristic text data and the target power supply area power load control object text data, and generates the target power supply area grid-side power load control object text data; The source-grid-load energy storage energy flow control execution module includes a source-grid-load energy storage energy flow control parameter construction unit and a source-grid-load energy storage energy flow control operation execution unit; The source-grid-load energy storage flow control parameter construction unit is used to construct the source-grid-load energy storage flow control result data; the source-grid-load energy storage flow control operation execution unit executes the source-grid-load energy storage flow control operation according to the source-grid-load energy storage flow control result data in combination with the power management platform.

[0014] (III) Beneficial effects The present invention provides a cloud computing-based intelligent control system and method for source-grid-load-storage energy flow. It has the following beneficial effects: 1. Dynamically and accurately monitor the power load parameters on the grid side and user side of the target power supply area through the power management platform, and provide data support for intelligent and accurate monitoring of the operating status of the power supply network in the target power supply area; accurately and efficiently evaluate the operating status of the power supply network in the target power supply area based on the power load parameters on the grid side and user side of the target power supply area combined with numerical analysis, and realize accurate monitoring of the operating status of the power energy flow on the grid side and user side in the source, network, load and storage based on cloud computing, thereby improving the intelligent operation and stability of the power system.

[0015] 2. Accurately collect characteristic information of the target power supply area through the power management platform to provide reliable data support for scientific and accurate search of power load control objects in the target power supply area; based on data search and combined with the power management platform, accurately collect characteristic information of power load control objects in the target power supply area and control characteristic information of power load control objects in the target power supply area, realize accurate and efficient search of identity characteristic information and control characteristic information of power load control objects in the target power supply area based on cloud computing, and realize accurate monitoring of power energy flow operation characteristics on the power supply side and energy storage side in source, grid, load and storage; based on data calculation, accurately count the power load supply and demand difference on the grid side of the target power supply area, and combine the intelligent recognition algorithm with the control characteristic information and identity characteristic information of the power load control objects in the target power supply area to intelligently screen the power load control objects required on the grid side of the target power supply area, realize scientific and dynamic matching of power load control objects on the grid side of the target power supply area, improve the power energy flow control accuracy and efficiency on the power supply side, energy storage side and grid side in source, grid, load and storage, and improve the operation safety of the power system and the efficiency of power resource utilization.

[0016] 3. Based on the power load supply and demand difference on the grid side of the target power supply area and the characteristic information of the power load control object in the target power supply area combined with data processing, the source-grid-load-storage-energy flow control result information is timely and accurately constructed to achieve efficient and accurate collection of source-grid-load-storage-energy flow control information, and reduce the power supply regulation response time of the power system; based on the source-grid-load-storage-energy flow control result information combined with the power management platform, the source-grid-load-storage-energy flow control operation is autonomously and efficiently executed, thereby improving the reliability and accuracy of the source-grid-load-storage-energy flow control operation and improving the power supply stability and response efficiency of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of a module of a cloud computing-based source-grid-load-storage energy flow intelligent control system provided by the present invention; Figure 2 A flow chart of the method for intelligent control of source-grid-load-storage energy flow based on cloud computing provided by the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] The embodiments of the source-grid-load-storage energy flow intelligent control system and method based on cloud computing are as follows: Example

[0020] See also Figure 1 - Figure 2 , a cloud computing-based source-grid-load-storage energy flow intelligent control method, the method comprises the following steps: S1. Collecting power load data on the grid side of the target power supply area and power load data on the user side of the target power supply area; S2. Analyze and process the power supply operation status of the target power supply area based on the power load parameters of the power grid and user in the target power supply area, generate power supply operation status analysis data of the power grid in the target power supply area, and directly terminate the source-grid-load-storage energy flow control operation when it is in a balanced state; S3. When in an unbalanced state, collecting characteristic text data of the target power supply area; S4, searching and processing the electric load control object information of the target power supply area according to the characteristic text data of the target power supply area, constructing the electric load control object text data of the target power supply area and searching and processing the control characteristic information of the electric load control object of the target power supply area, constructing the control characteristic text data of the electric load control object of the target power supply area; S5. Based on the power load parameters on the power grid side and the user side of the target power supply area, numerical processing of the power load supply and demand on the power grid side of the target power supply area is performed to measure the power load supply and demand difference on the power grid side of the target power supply area; S6. Analyze the required power load control object information of the target power supply area grid side based on the power load supply and demand difference of the target power supply area grid side, the control feature text data of the power load control object of the target power supply area, and the power load control object text data of the target power supply area, and generate the power load control object text data of the target power supply area grid side; S7, construct the source-grid-load-storage energy flow control result data and execute the source-grid-load-storage energy flow control operation.

[0021] For further information, see Figure 1 - Figure 2 The operation steps for collecting the power load data on the grid side of the target power supply area and the power load data on the user side of the target power supply area are as follows: S11. Collect the real-time power load parameters of the power supply network of the target power supply area online through the power management platform, and generate the power load data of the power grid side of the target power supply area. ,in The unit is megawatt, and the target power supply area indicates the administrative area where the target power system power supply network is located; The power management platform collects the real-time power load parameters of the power system user side in the target power supply area online, and generates the power load data of the user side in the target power supply area ,in The unit is megawatt.

[0022] Based on the grid-side and user-side power load parameters of the target power supply area, the grid-side power supply operation status of the target power supply area is analyzed and processed to generate the grid-side power supply operation status analysis data of the target power supply area. When it is in a balanced state, the operation steps of directly ending the source-grid-load-storage energy flow control operation are as follows: S21. The power load data of the power grid side in the target power supply area The power load data of the user side in the target power supply area Compare the power load values ​​and generate the power supply operation status analysis data of the target power supply area based on the power load value comparison results. ; when = , indicating that the power supply load on the grid side of the target power supply area is in a balanced state with the demand load on the user side, then the power supply operation status analysis data on the grid side of the target power supply area is output It is in a balanced state, and the source-grid-load-storage energy flow control operation is directly terminated at this time; when ≠ , indicating that the power supply load on the grid side of the target power supply area and the demand load on the user side are in an unbalanced state, then the power supply operation status analysis data on the grid side of the target power supply area is output It is a non-equilibrium state.

[0023] Through the cooperation of the power load parameter collection unit on the grid side of the target power supply area and the power load collection unit on the user side of the target power supply area, the power management platform is used to dynamically and accurately monitor the power load parameters on the grid side and the user side of the target power supply area, providing data support for intelligent and precise monitoring of the operating status of the power supply network in the target power supply area; the power supply operating status analysis unit on the grid side of the target power supply area accurately and efficiently evaluates the operating status of the power supply network in the target power supply area based on the power load parameters on the grid side and the user side of the target power supply area combined with numerical analysis, and realizes precise monitoring of the operating status of the power energy flow on the grid side and the user side in the source, grid, load and storage based on cloud computing, thereby improving the intelligent operation and stability of the power system.

[0024] For further information, see Figure 1 - Figure 2 When it is in an unbalanced state, the steps for collecting characteristic text data of the target power supply area are as follows: S31, when the target power supply area power grid side power supply operation status analysis data When the power supply area is in an unbalanced state, the information collection dialog box of the power management platform collects the identity feature text information of the target power supply area online and generates the target power supply area feature text data. The target power supply area characteristic text data includes the name text data, geographical location text data, area code text data and postal code text data of the target power supply area.

[0025] The steps of searching and processing the electric load control object information of the target power supply area according to the characteristic text data of the target power supply area, constructing the electric load control object text data of the target power supply area and searching and processing the control characteristic information of the electric load control object of the target power supply area, and constructing the control characteristic text data of the electric load control object of the target power supply area are as follows: S41, target power supply area characteristic text data Import the power management platform to search and process the identity feature text information of the power load control objects in the target power supply area, and construct a text data set of the power load control objects in the target power supply area , ;in Indicates the target power supply area for collection. The text data of the target power supply area power load regulation object corresponding to the power load regulation object, Indicates the maximum value of the number of power load control objects. The power load control objects include power stations, distributed renewable energy power generation objects and power energy storage objects. Power stations include thermal power stations, hydropower stations and nuclear power stations. Distributed renewable energy power generation objects include wind power generation objects and photovoltaic power generation objects. Power energy storage objects include battery energy storage objects, pumped storage objects, compressed air energy storage objects and electrochemical energy storage objects. The text data of power load control objects in the target power supply area includes the name text data, identity number text data and geographic location text data of the power load control objects in the target power supply area. S42: Collect the text data of the target power supply area power load regulation object Text data of power load control objects in the target power supply area The power load control object is imported into the power management platform in order according to the power load control object number to search and process the control feature text information of the power load control object in the target power supply area, and generate the control feature text data set of the power load control object in the target power supply area ,in Indicates the target power supply area for collection. The target power supply area power load control object control feature text data corresponding to the power load control object, the target power supply area power load control feature text data includes the total power load control parameter, the used power load control parameter and the remaining power load control parameter of the power load control object in the target power supply area, and the units of the total power load control parameter, the used power load control parameter and the remaining power load control parameter are all megawatts; When the power load control object is a power station, the total power load control parameter of the power station represents the total power load control parameter of the power station for power load control on the grid side by increasing or decreasing power generation, the used power load control parameter of the power station represents the used power load control parameter of the power station for power load control on the grid side by increasing or decreasing power generation, and the remaining power load control parameter of the power station represents the remaining power load control parameter of the power station for power load control on the grid side by increasing or decreasing power generation; Wherein, when the power load control object is a distributed renewable energy power generation object, the total power load control parameter of the distributed renewable energy power generation object represents the total power load control parameter of the distributed renewable energy power generation object for power load control on the grid side by charging and discharging, the used power load control parameter of the distributed renewable energy power generation object represents the used power load control parameter of the distributed renewable energy power generation object for power load control on the grid side by charging and discharging, and the remaining power load control parameter of the distributed renewable energy power generation object represents the remaining power load control parameter of the distributed renewable energy power generation object for power load control on the grid side by charging and discharging; When the power load control object is an electric energy storage object, the total power load control parameter of the electric energy storage object represents the total power load control parameter of the electric energy storage object for grid-side power load control by charging and discharging, the used power load control parameter of the electric energy storage object represents the used power load control parameter of the electric energy storage object for grid-side power load control by charging and discharging, and the remaining power load control parameter of the electric energy storage object represents the remaining power load control parameter of the electric energy storage object for grid-side power load control by charging and discharging.

[0026] The operation steps for processing the power load supply and demand of the power grid side of the target power supply area based on the power load parameters of the power grid side and the user side of the target power supply area and measuring the power load supply and demand difference of the power grid side of the target power supply area are as follows: S51, the power load data of the power grid side of the target power supply area The power load data of the user side in the target power supply area Perform differential processing on the power load values ​​to measure the difference between power supply and demand on the power grid side in the target power supply area ,in , The unit is megawatt; when >0, it means that the power supply load on the grid side of the target power supply area is greater than the demand load on the user side. At this time, it is necessary to reduce the power supply load on the grid side of the target power supply area. <0, indicating that the grid-side power supply load in the target power supply area is less than the required load on the user side. In this case, the grid-side power supply load in the target power supply area needs to be increased.

[0027] Based on the target power supply area grid side power load supply and demand difference, the target power supply area power load control object control feature text data and the target power supply area power load control object text data, the target power supply area grid side power load control object information analysis is performed to generate the target power supply area grid side power load control object text data. The operation steps are as follows: S61. Obtaining a text data set of power load regulation objects in the target power supply area , target power supply area power load control object control feature text data set , the difference between power supply and demand of the power grid side in the target power supply area ; S62: The power supply and demand difference of the power grid side in the target power supply area The corresponding absolute value of the power load supply and demand difference and the control feature text data set of the power load control object in the target power supply area Control feature text data of power load control objects in the target power supply area The corresponding remaining power load control parameters are compared with the power load values ​​to search for the control feature text data of the power load control object in the target power supply area The corresponding remaining power load control parameter is greater than and close to the power load supply and demand difference on the grid side in the target power supply area. The corresponding power load supply and demand difference absolute value of the target power supply area power load control object control feature text data , perform a search to find out the difference between the power supply and demand of the power grid side in the target power supply area The control feature text data of the power load control object in the matching target power supply area The specific steps are as follows: S621, initialization, setting the maximum number of iterations T of the algorithm; S622, propagation: the target power supply area power load control object control feature text data set Control feature text data of power load control objects in the target power supply area Synchronous setting is water wave, and each target power supply area power load control object control feature text data The water wave is an independent individual, so the control feature text data of the power load control object in each target power supply area Water waves will have 3 properties: position, wavelength and wave height ; In each iteration, the control feature text data of the power load control object in each target power supply area is Water waves will propagate to the target power supply area power load control object control feature text data set The target power supply area in the search space has electric load control object control feature text data The corresponding remaining power load control parameters and the difference between the power supply and demand of the power grid side in the target power supply area The corresponding absolute value of the power load supply and demand difference is used to search and compare the power load value. It will decrease by 1, and its position update formula is as follows: ,in Indicates that in the propagation stage After iterations, water waves A collection of text data on the control characteristics of power load control objects in the target power supply area Position in the search space; Indicates that in the propagation stage Water wave before iteration A collection of text data on the control characteristics of power load control objects in the target power supply area Position in the search space; , They are respectively the control feature text data sets of the power load control objects in the target power supply area The upper and lower bounds in the search space, Indicates value Random function of S623, Refraction: Control feature text data of power load control objects in a target power supply area After the water wave propagates, the control feature text data of the power load control object in the target power supply area Water wave refraction and control feature text data set of power load control objects in target power supply area The target power supply area in the search space has electric load control object control feature text data The corresponding remaining power load control parameters and the difference between the power supply and demand of the power grid side in the target power supply area The corresponding absolute value of the power load supply and demand difference is used to search and compare the power load numerical value, and the control feature text data of the power load control object in the target power supply area is propagated each time. water wave height will decrease by 1 when When it decreases to 0, the control characteristic text data of the power load control object in the target power supply area Water waves will be refracted, and their height and wavelength will change; the refracted position is normally distributed in the current target power supply area power load control object control feature text data Water wave and optimal target power supply area power load control object control feature text data The midpoint of the water wave is the mean value, and the control feature text data of the power load control object in the current target power supply area Water wave and optimal target power supply area power load control object control feature text data The distance of the water wave is the position of the variance, and the control feature text data of the power load control object in the target power supply area after refraction The height of the water wave will be reinitialized to the maximum wave height ; After refraction, recalculate the control feature text data of the power load control object in the target power supply area Wavelength of water waves ; S624, Breaking waves: text data of control characteristics of power load control objects in target power supply area Water wave in the target power supply area power load control object control feature text data set After propagation in the search space, the control feature text data of the power load control object in the power supply area that is better than the current optimal target is reached. The location of the water wave, that is, the control feature text data set of the power load control object in the target power supply area Search the difference between the power supply and demand of the power grid side and the target power supply area in the search space The control feature text data of the power load control object in the matching target power supply area The location of the target power supply area power load control object control feature text data The water waves will break and the control feature text data of the power load control object in the current optimal target power supply area will be The water wave propagates to the location where the breaking waves are generated, that is, the difference between the power supply and demand of the power grid side in the output and the target power supply area The control feature text data of the power load control object in the matching target power supply area The formula for generating the breaking wave position is as follows: ,in Indicates that in the breaking wave stage After iterations, water waves A collection of text data on the control characteristics of power load control objects in the target power supply area The position in the search space, Indicates value The random function of to It means that each breaking wave is randomly located in the space dimension The target power supply area power load control object control feature text data set The number of the spatial dimension selected in the search space, represents the spatial dimension that is actually randomly selected for each breaking wave, to represents the specific spatial dimension parameter randomly selected for each breaking wave, is a constant; S625: When the maximum number of iterations of the algorithm is met, the difference between the power supply and demand of the power grid side in the target power supply area is output. Control feature text data of power load control objects in the target power supply area ; S63: The target power supply area power load control object control feature text data output in step S625 is The corresponding power load control object is identified and the target power supply area grid side power load control object identity data is generated. ; S64: the target power supply area grid side power load control object identity data Text data set of power load regulation objects in the target power supply area Text data of power load control objects in the target power supply area Perform character matching on the power load control object number to search for the identity data of the power load control object on the grid side of the target power supply area Corresponding target power supply area power load control object text data , and generate the text data of the power load control object on the grid side of the target power supply area through data identification .

[0028] The target power supply area characteristic text information collection unit accurately collects the target power supply area characteristic information through the power management platform, and provides reliable data support for scientifically and accurately searching for the power load control object in the target power supply area; the target power supply area power load control object information search unit and the target power supply area power load control object control characteristic parameter search unit cooperate with each other, based on data search and combined with the power management platform to accurately collect the target power supply area power load control object characteristic information and the target power supply area power load control object control characteristic information, realize accurate and efficient search for the identity characteristic information and control characteristic information of the power load control object in the target power supply area based on cloud computing, and realize accurate monitoring of the power supply side and the power grid, load and storage The operation characteristics of the electric energy flow on the energy storage side; the target power supply area grid side electric load supply and demand difference statistical unit and the target power supply area grid side electric load control object information analysis unit cooperate with each other, based on data calculation, accurately count the target power supply area grid side electric load supply and demand difference, and combine the intelligent recognition algorithm with the control feature information and identity feature information of the target power supply area electric load control object to perform intelligent screening of the target power supply area grid side electric load control objects, realize scientific and dynamic matching of the target power supply area grid side electric load control objects, improve the power supply side, energy storage side and grid side of the source, grid, load and storage control accuracy and efficiency, and improve the operation safety of the power system and the efficiency of power resource utilization.

[0029] For further information, see Figure 1 - Figure 2 The steps for constructing the source-grid-load-storage energy flow control result data and executing the source-grid-load-storage energy flow control operation are as follows: S71, the power supply and demand difference of the power grid side in the target power supply area and text data of power load regulation objects on the grid side of the target power supply area Combine data and construct source-grid-load-storage energy flow control result data ,in ; S72, power flow management platform based on source grid load storage energy flow control result data Text data of power load control objects on the grid side in the target power supply area Control the target power supply area grid side power load control object according to the target power supply area grid side power load supply and demand difference Execute source-grid-load-storage energy flow control operations; when >0, the power flow management platform controls the text data of the power load regulation object on the power grid side of the target power supply area The corresponding target power supply area grid-side power load control object is as follows Carry out power supply load reduction operations on the grid side of the target power supply area; when When <0, the power flow management platform controls the text data of the power load regulation object on the power grid side of the target power supply area The corresponding target power supply area grid-side power load control object is as follows Execute the grid-side power supply load increase operation in the target power supply area, including Indicates the difference between power supply and demand of the power grid side in the target power supply area The absolute value of .

[0030] The source-grid-load-energy-storage-energy-flow-control parameter construction unit timely and accurately constructs the source-grid-load-energy-storage-energy-flow-control result information based on the power load supply-demand difference on the grid side of the target power supply area and the power load control object characteristic information of the target power supply area in combination with data processing, so as to realize efficient and accurate collection of source-grid-load-energy-storage-energy-flow-control information and reduce the power supply regulation response time of the power system; the source-grid-load-energy-storage-energy-flow-control operation execution unit autonomously and efficiently executes the source-grid-load-energy-storage-energy-flow-control operation based on the source-grid-load-energy-storage-energy-flow-control result information and the power management platform, so as to improve the reliability and accuracy of the source-grid-load-energy-storage-energy-flow-control operation and enhance the power supply stability and response efficiency of the power system.

[0031] Embodiment 2: See also Figure 1 - Figure 2 , a source-grid-load-storage energy flow intelligent control system based on cloud computing is used to implement a source-grid-load-storage energy flow intelligent control method based on cloud computing, the system includes a source-grid-load-storage operation state analysis module, a source-grid-load-storage energy flow control parameter analysis module, and a source-grid-load-storage energy flow control execution module; data processing of the source-grid-load-storage operation state analysis module, the source-grid-load-storage energy flow control parameter analysis module, and the source-grid-load-storage energy flow control execution module are all based on cloud computing for data processing; The source-grid-load-storage operation status analysis module includes a target power supply area grid-side power load parameter acquisition unit, a target power supply area user-side power load acquisition unit, and a target power supply area grid-side power supply operation status analysis unit; The target power supply area grid-side power load parameter collection unit collects the target power supply area grid-side power load data through the power management platform; the target power supply area user-side power load collection unit collects the target power supply area user-side power load data through the power management platform; the target power supply area grid-side power supply operation status analysis unit performs grid-side power supply operation status analysis and processing in the target power supply area based on the grid-side and user-side power load parameters in the target power supply area, and generates the target power supply area grid-side power supply operation status analysis data; The source-grid-load-storage energy flow control parameter analysis module includes a target power supply area feature text information acquisition unit, a target power supply area power load control object information search unit, a target power supply area power load control object control feature parameter search unit, a target power supply area grid side power load supply and demand difference statistics unit, and a target power supply area grid side power load control object information analysis unit; The target power supply area characteristic text information collection unit collects the target power supply area characteristic text data through the power management platform; the target power supply area power load control object information search unit searches for the target power supply area power load control object information based on the target power supply area characteristic text data combined with the power management platform to construct the target power supply area power load control object text data; the target power supply area power load control object control characteristic parameter search unit searches for the target power supply area power load control object control characteristic information based on the target power supply area power load control object text data combined with the power management platform to construct the target power supply area power load control object control Characteristic text data; a target power supply area grid-side power load supply and demand difference statistical unit, which performs numerical processing of the target power supply area grid-side power load supply and demand based on the grid-side and user-side power load parameters of the target power supply area, and measures the target power supply area grid-side power load supply and demand difference; a target power supply area grid-side power load control object information analysis unit, which performs target power supply area grid-side power load control object information analysis based on the target power supply area grid-side power load supply and demand difference, the target power supply area power load control object control characteristic text data and the target power supply area power load control object text data, and generates the target power supply area grid-side power load control object text data; The source-grid-load-storage energy flow control execution module includes a source-grid-load-storage energy flow control parameter construction unit and a source-grid-load-storage energy flow control operation execution unit; The source-grid-load energy storage flow control parameter construction unit is used to construct the source-grid-load energy storage flow control result data; the source-grid-load energy storage flow control operation execution unit executes the source-grid-load energy storage flow control operation based on the source-grid-load energy storage flow control result data and the power management platform.

[0032] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A cloud computing-based intelligent control method for source-grid-load-storage energy flow, characterized in that: The method comprises the following steps: S1. Collecting power load data on the grid side of the target power supply area and power load data on the user side of the target power supply area; S2. Analyze and process the power supply operation status of the target power supply area based on the power load parameters of the power grid and user in the target power supply area, generate power supply operation status analysis data of the power grid in the target power supply area, and directly terminate the source-grid-load-storage energy flow control operation when it is in a balanced state; S3. When in an unbalanced state, collecting characteristic text data of the target power supply area; S4, performing a search process for the electric load control object information of the target power supply area according to the characteristic text data of the target power supply area, constructing the electric load control object text data of the target power supply area and performing a search process for the control characteristic information of the electric load control object of the target power supply area, and constructing the control characteristic text data of the electric load control object of the target power supply area; S5. Based on the power load parameters on the power grid side and the user side of the target power supply area, numerical processing of the power load supply and demand on the power grid side of the target power supply area is performed to measure the power load supply and demand difference on the power grid side of the target power supply area; S6, based on the target power supply area grid side power load supply and demand difference, the target power supply area power load control object control feature text data and the target power supply area power load control object text data, the target power supply area grid side power load control object information analysis, generate the target power supply area grid side power load control object text data; S7, construct the source-grid-load-storage energy flow control result data and execute the source-grid-load-storage energy flow control operation.

2. The method for intelligent control of source-grid-load-storage energy flow based on cloud computing according to claim 1 is characterized in that: The S1 comprises the following steps: S11. Collect the real-time power load parameters of the power supply network of the target power supply area online through the power management platform, and generate the power load data of the power grid side of the target power supply area. ,in The unit is megawatt, and the target power supply area indicates the administrative area where the target power system power supply network is located; The power management platform collects the real-time power load parameters of the power system user side in the target power supply area online, and generates the power load data of the user side in the target power supply area ,in The unit is megawatt.

3. The method for intelligent control of source-grid-load-storage energy flow based on cloud computing according to claim 2 is characterized in that: The S2 comprises the following steps: S21, the With the Compare the power load values ​​and generate the power supply operation status analysis data of the target power supply area based on the power load value comparison results. ; when = , then the target power supply area grid side power supply operation status analysis data is output It is in a balanced state, and the source-grid-load-storage energy flow control operation is ended directly at this time; when ≠ , then the target power supply area grid side power supply operation status analysis data is output It is a non-equilibrium state.

4. The method for intelligent control of source-grid-load-storage energy flow based on cloud computing according to claim 3 is characterized by: The S3 comprises the following steps: S31, when the When the power supply area is in an unbalanced state, the information collection dialog box of the power management platform collects the identity feature text information of the target power supply area online and generates the target power supply area feature text data. .

5. The method for intelligent control of source-grid-load-storage energy flow based on cloud computing according to claim 4 is characterized in that: The S4 comprises the following steps: S41, the Import the power management platform to search and process the identity feature text information of the power load control objects in the target power supply area, and construct a text data set of the power load control objects in the target power supply area , ;in Indicates the target power supply area for collection. The text data of the target power supply area power load regulation object corresponding to the power load regulation object, Indicates the maximum number of power load control objects; S42, the As stated in The power load control object is imported into the power management platform in order according to the power load control object number to search and process the control feature text information of the power load control object in the target power supply area, and generate the control feature text data set of the power load control object in the target power supply area ,in Indicates the target power supply area for collection. The target power supply area power load control object corresponds to a power load control object, and the target power supply area power load control object control characteristic text data includes the total power load control parameters, the used power load control parameters and the remaining power load control parameters of the power load control object in the target power supply area.

6. The method for intelligent control of source-grid-load-storage energy flow based on cloud computing according to claim 5 is characterized by: The S5 comprises the following steps: S51, the power load data of the power grid side of the target power supply area The power load data of the user side of the target power supply area Perform differential processing on the power load values ​​to measure the difference between power supply and demand on the grid side in the target power supply area ,in The unit is megawatt.

7. The method for intelligent control of source-grid-load-storage energy flow based on cloud computing according to claim 6 is characterized by: The S6 comprises the following steps: S61, obtaining the , , ; S62, the The absolute value of the corresponding power load supply and demand difference is As stated in The corresponding remaining power load control parameters are compared with the power load values ​​to search for the The corresponding remaining power load control parameter is greater than and close to the The corresponding absolute value of the power load supply and demand difference , perform a search for Matching the The specific steps are as follows: S621, initialization, setting the maximum number of iterations T of the algorithm; S622, dissemination: As stated in Synchronize to water waves, each of the The water wave is an independent individual, so each of the Water waves will have three properties: position, wavelength and wave height ; In each iteration, each Water waves will propagate through the The search space The corresponding remaining power load control parameters are the same as those The corresponding absolute value of the power load supply and demand difference is used to search and compare the power load value. will decrease by 1; S623, refraction: in a After the water wave propagates, the Water waves refract and The search space The corresponding remaining power load control parameters are the same as those The corresponding absolute value of the power load supply and demand difference is used to search and compare the power load value. water wave height will decrease by 1 when When it decreases to 0, the The water waves will be refracted, and their height and wavelength will change; the position after refraction is normally distributed in the current Water waves and optimal The midpoint of the water wave is the mean value. Water waves and optimal The distance of the water wave is the position of the variance, after refraction The height of the water wave will be reinitialized to the maximum wave height ; After refraction, recalculate the Wavelength of water waves ; S624, Breaking Waves: Water waves in the After propagating in the search space, the optimal The position of the water wave, that is, Search the search space for Matching the ; then the The waves will break and the current optimal The water wave propagates to the location where the breaking waves are generated, that is, the output is the same as the Matching the location; S625. When the maximum number of iterations of the algorithm is met, output With the ; S63, the output of step S625 The corresponding power load control object is identified and the target power supply area grid side power load control object identity data is generated. ; S64, the With the As stated in Perform character matching on the power load control object number to search for the The corresponding , and generate the text data of the power load control object on the grid side of the target power supply area through data identification .

8. The method for intelligent control of source-grid-load-storage energy flow based on cloud computing according to claim 7 is characterized by: The S7 comprises the following steps: S71, the and stated Combine data and construct source-grid-load-storage energy flow control result data ; S72, the power flow management platform is based on middle The power load control object on the grid side of the target power supply area is controlled according to the Execute source-grid-load-storage energy flow control operations; when >0, the power flow management platform controls the text data of the power load regulation object on the grid side of the target power supply area The corresponding target power supply area grid-side power load control object is as follows Carry out power supply load reduction operations on the grid side of the target power supply area; when When <0, the power flow management platform controls the text data of the power load regulation object on the grid side of the target power supply area The corresponding target power supply area grid-side power load control object is as follows Execute the grid-side power supply load increase operation in the target power supply area, including Indicates the difference between power supply and demand of the power grid side in the target power supply area The absolute value of .

9. A cloud computing-based intelligent control system for source-grid-load-storage energy flow, used to implement the cloud computing-based intelligent control method for source-grid-load-storage energy flow as described in any one of claims 1 to 8, characterized in that: The system comprises a source-grid-load-storage operation status analysis module, a source-grid-load-storage energy flow control parameter analysis module, and a source-grid-load-storage energy flow control execution module.

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