Power system source network load storage safety state control method and system

Abstract

The invention provides a power system source network load storage safety state control method and system, and relates to the technical field of power distribution management.The method comprises the steps that after it is recognized that an intelligent power grid enters an isolated network operation state, historical power consumption data and historical power generation data in a current area before isolated network operation are obtained; acquiring pre-estimated climate information within a preset pre-estimated duration after the current moment, and generating pre-estimated power generation data within the pre-estimated duration after the current moment according to the pre-estimated climate information and the historical power generation data; obtaining the current storage electric quantity of the plurality of storage battery packs in the current area, and generating adjustable electricity consumption within the estimated duration after the current moment according to the plurality of current storage electric quantity and the estimated power generation data; according to the adjustable power consumption and the historical power consumption data of the plurality of power consumption units, generating power optimization regulation and control data; and adjusting the optimized dispatching electric quantity of the plurality of storage battery packs in the current area according to the electric quantity optimization regulation and control data.

Description

Technical Field

[0001] The present application relates to the technical field of power distribution management, and in particular to a method and system for controlling the safe state of a power system source, grid, load and storage. Background Art

[0002] In remote mountainous areas, due to their remote geographical location, the cost of electricity transmission is high, but there are more natural resources available. Renewable clean energy power generation is widely used in remote mountainous areas because it uses natural resources for clean power generation.

[0003] Among them, in order to maintain the stability and safety of electricity consumption in multiple microgrid power generation sources, the main power grid and the power consumption unit in the power system, smart grids are used to regulate the use of electricity in a certain area to enhance the efficiency of electricity use.

[0004] However, when the power supply stability of the power system decreases or other information transmission failures occur, the smart grid in some areas may be in an isolated network operation state. The connection between the smart grid in the isolated network operation state and the main grid is interrupted. Therefore, it can only rely on its own power generation equipment and batteries to maintain power supply, which greatly reduces the safety and stability of electricity use in the area. Summary of the invention

[0005] In order to enhance the safety and stability of electricity consumption in a region when a smart grid enters an isolated grid operation state, the present application provides a method and system for controlling the safe state of a power system source, grid, load and storage.

[0006] In a first aspect, the present application provides a method for controlling a safe state of a power system source, grid, load and storage, using the following technical solution:

[0007] A method for controlling the safe state of a power system source, grid, load and storage, after identifying that a smart grid has entered an isolated grid operation state, the method comprises:

[0008] Retrieve historical electricity consumption data of multiple electricity users in the current area before the isolated grid is put into operation from the storage database, as well as historical power generation data of multiple centralized clean energy power generation equipment and multiple distributed photovoltaic power generation equipment;

[0009] Obtain estimated climate information within a preset estimated time period after the current moment at a specified network address, and generate estimated power generation data within the estimated time period after the current moment based on the estimated climate information and the historical power generation data;

[0010] Acquire the current storage power of multiple battery packs in the current area, and generate the available power within the estimated time after the current moment according to the multiple current storage power and the estimated power generation data;

[0011] Generate power optimization and control data according to the available power and the historical power consumption data of the plurality of power consuming units;

[0012] According to the power optimization control data, the optimized dispatching power of the plurality of battery groups in the current area is adjusted.

[0013] Optionally, generating the estimated power generation data within the estimated time period after the current moment according to the estimated climate information and the historical power generation data includes:

[0014] According to the historical power generation data, the average photovoltaic power generation corresponding to the unit sunshine duration and the corresponding hydropower generation per unit duration are calculated;

[0015] According to the estimated sunshine duration in the estimated climate information and the estimated duration, the estimated photovoltaic power generation and the estimated hydropower generation within the estimated duration are calculated and generated, and the estimated photovoltaic power generation and the estimated hydropower generation are summarized to generate estimated power generation data.

[0016] Optionally, generating power optimization and control data according to the available power and the historical power consumption data of the plurality of power consumption units includes:

[0017] Retrieving historical climate data in the current area before the isolated network is operated from a storage database, wherein the historical climate data is composed of historical climate information on multiple dates;

[0018] Based on the historical electricity consumption data of the plurality of electricity consuming units, generating electricity consumption distribution status information corresponding to the estimated duration;

[0019] According to the power consumption distribution status information and the adjustable power consumption, power optimization allocation data is generated.

[0020] Optionally, each of the historical electricity consumption data includes historical electricity consumption information corresponding to each of the historical climate information on multiple dates;

[0021] The generating of the power consumption distribution state information corresponding to the estimated duration based on the historical power consumption data of the plurality of power consumption units includes:

[0022] Based on the estimated temperature values ​​at multiple different time points in the estimated climate information, a corresponding estimated temperature average is calculated and generated, and corresponding approximate historical climate information is matched in the historical climate data according to the estimated temperature average;

[0023] According to the preset stage duration, the estimated duration after the current moment is divided into a plurality of unit time periods;

[0024] According to the historical power consumption information corresponding to the approximate historical climate information, the total historical power consumption of multiple power consumption units in each unit time period is obtained, and power consumption distribution state information is generated according to the multiple historical power consumptions corresponding to the approximate climate information.

[0025] Optionally, generating power optimization allocation data according to the power consumption distribution state information and the adjustable power consumption includes:

[0026] According to the power consumption distribution state information, dividing the unit power distribution in each unit time period within the estimated duration;

[0027] The power optimization and deployment data is generated based on the summary of the power distribution of the multiple units.

[0028] Optionally, the method further includes:

[0029] Generating estimated total power change information of the plurality of battery groups according to the plurality of unit allocated power;

[0030] Calculate and generate a total power bottom line value based on a preset battery capacity threshold and the total capacity of multiple battery groups;

[0031] If the estimated total power in the estimated total power change information is less than or equal to the total power bottom line value within the target unit time period, the optimized scheduled power of the battery group within the target unit time period will be updated according to the total power bottom line value.

[0032] In the second aspect, the present application provides a power system source grid load storage safety state control system, which adopts the following technical solution:

[0033] A safety state control system for a power system source, grid, load and storage, the system comprising an intelligent terminal, the intelligent terminal comprising:

[0034] An information acquisition module is used to retrieve from the storage database the historical power consumption data of multiple power users in the current area before the isolated grid is put into operation, as well as the historical power generation data of multiple centralized clean energy power generation equipment and multiple distributed photovoltaic power generation equipment;

[0035] A power generation state estimation module, used to obtain estimated climate information within a preset estimated time period after the current moment in a specified network address, and generate estimated power generation data within the estimated time period after the current moment based on the estimated climate information and the historical power generation data;

[0036] The power information aggregation module is used to obtain the current storage power of multiple battery packs in the current area, and generate the available power within the estimated time after the current moment according to the multiple current storage power and the estimated power generation data;

[0037] An electricity optimization allocation module, used for generating electricity optimization control data according to the available electricity and the historical electricity consumption data of the plurality of electricity users;

[0038] The power optimization allocation module is used to adjust the optimized scheduling power of the multiple battery groups in the current area according to the power optimization control data.

[0039] In a third aspect, the present application provides a smart terminal, which adopts the following technical solution:

[0040] A smart terminal, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set are loaded and executed by the processor to implement the processing of the smart terminal in the safe state control method of the power system source, grid, load and storage as described in the first aspect.

[0041] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0042] A computer-readable storage medium, wherein at least one instruction, at least one program, a code set or an instruction set is stored in the storage medium, wherein the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to implement the processing of an intelligent terminal in the safe state control method of a power system source, grid, load and storage as described in the first aspect.

[0043] In summary, the present application includes at least one of the following beneficial technical effects:

[0044] The power generation of multiple clean energy power generation equipment within the estimated time is estimated based on historical power generation data, and the estimated power generation data is generated; then the estimated power generation in the estimated power generation data and the total current storage capacity of multiple battery groups are combined to understand the available power of the smart grid when entering the island operation state; further, the power demand at different times is analyzed through historical power consumption data, and then the available power is reasonably allocated based on the difference in historical power consumption demand at different times, so as to enhance the balanced distribution of power supply within the estimated time, thereby enhancing the stability and security of power supply after the smart grid enters the island operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0046] Figure 1 It is a flow chart of a method for controlling the safe state of a power system source, grid, load and storage provided in an embodiment of the present application.

[0047] Figure 2 It is a flow chart of generating power optimization and control data provided by an embodiment of the present application.

[0048] Figure 3 It is a flow chart of generating power consumption distribution status information provided by an embodiment of the present application.

[0049] Figure 4 It is a schematic diagram of the structure of a smart terminal provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below in conjunction with Figures 1-4.

[0051] The embodiment of the present application provides a method for controlling the safe state of a power system source, grid, load and storage, and the method can be applied to a safe state control system of a power system source, grid, load and storage, wherein the safe state control system of a power system source, grid, load and storage can be composed of multiple battery groups, centralized clean energy power generation equipment, distributed photovoltaic power generation equipment and intelligent terminals, wherein the centralized clean energy power generation equipment can be photovoltaic power generation equipment or hydropower generation equipment. The executor of the method can be an intelligent terminal in the safe state control system of a power system source, grid, load and storage. The embodiment of the present application takes the example of the power allocation between multiple power generation equipment, multiple battery groups and power consumption units during the operation of the smart grid entering an isolated network, and other situations are similar and will not be described one by one.

[0052] The following will be combined with specific implementation methods. Figure 1 The processing flow shown is described in detail, and the content can be as follows:

[0053] S101, retrieve from a storage database the historical power consumption data of multiple power users in the current area before the isolated grid is operated, as well as the historical power generation data of multiple centralized clean energy power generation equipment and multiple distributed photovoltaic power generation equipment.

[0054] In practice, the storage database of the smart terminal records the power generation data of multiple centralized clean energy power generation equipment and multiple distributed photovoltaic power generation equipment in the current area, and also records the power consumption data of multiple power users in the current area. In the process of recording power generation data and power consumption data, in order to enhance the timeliness of the data and reduce the storage pressure of the data, the power generation data and power consumption data recorded are usually updated regularly or in real time, and the power generation data and power consumption data recorded here are respectively referred to as historical power generation data and historical power consumption data.

[0055] After the smart terminal identifies that the power transmission between the smart grid and the main grid in the current area is interrupted and enters the isolated grid operation state, the smart terminal retrieves the historical power consumption data of multiple power users in the current area before the isolated grid operation from the storage database, as well as the historical power generation data of multiple centralized clean energy power generation equipment and multiple distributed photovoltaic power generation equipment.

[0056] S102, obtaining estimated climate information within a preset estimated time period after the current moment in a designated network address, and generating estimated power generation data within an estimated time period after the current moment based on the estimated climate information and historical power generation data.

[0057] In implementation, the smart terminal is preset with an estimated duration, and is used to estimate the power generation data within the estimated duration after the smart grid is detected to enter the isolated grid operation time. Here, the time when the smart grid is detected to enter the isolated grid operation time is the current time. And the estimated duration here is usually the duration of the smart grid in the isolated grid operation due to the fault, such as 1 hour, 1 day, 1 week, etc.

[0058] Specifically, the smart terminal first obtains the estimated climate information within the estimated time after the current moment in the specified network address, where the estimated climate information at least includes the estimated sunshine duration and the estimated temperature values ​​at multiple time nodes, and the time nodes here can be in units of 1 hour or 1 minute.

[0059] Then, the historical power generation data is used by analogy, for example, by obtaining the hydropower generation under unit duration of hydropower generation and the photovoltaic power generation under unit sunshine duration, to calculate the estimated power generation data within the estimated duration after the current moment.

[0060] S103, obtaining the current storage power of multiple battery packs in the current area, and generating the available power within the estimated time after the current moment according to the multiple current storage power and the estimated power generation data.

[0061] During implementation, the smart terminal obtains the total storage capacity of all battery packs in the current area, referred to here as the current storage capacity, and superimposes the estimated power generation in the estimated power generation data and the current storage capacity of multiple battery packs to calculate and generate the available power within the estimated time after the current moment.

[0062] S104, generating power optimization and control data according to the available power and historical power consumption data of multiple power consumption units.

[0063] In implementation, the smart terminal will divide the available electricity. The division rule can be equal division, or it can summarize the distribution law of historical electricity consumption in historical electricity consumption data, and then divide it according to the weight distribution law of historical electricity consumption. The electricity divided from the available electricity and the corresponding time points will be summarized to generate electricity optimization and control data.

[0064] S105, adjusting the optimized dispatching power of multiple battery groups in the current area according to the power optimization control data.

[0065] In implementation, a unit duration is preset in the smart terminal, and the unit duration here can be 1 minute, 1 hour, etc. At the same time, the smart terminal divides the estimated duration into multiple unit time periods based on the unit duration, so as to divide the power allocation processing in multiple time periods within the estimated duration. For example, if the estimated duration is 1 day and the unit duration is 1 hour, the unit time period is each hour of the day.

[0066] The intelligent terminal integrates the power optimization control data and the estimated power generation data to calculate the amount of power that multiple battery groups need to charge or discharge in each unit time period. Here, the amount of power that multiple battery groups need to charge or discharge in each unit time period is called the optimized scheduling power.

[0067] In the present application, historical power generation data is used to estimate the power generation of multiple clean energy power generation equipment within the estimated time period, and the estimated power generation data is generated; then the estimated power generation in the estimated power generation data and the total current storage capacity of multiple battery packs are combined to facilitate the understanding of the available power of the smart grid when entering the island operation state; further, the power demand at different times is analyzed through historical power consumption data, and then the available power is reasonably allocated according to the differences in historical power consumption demands at different times, so as to enhance the balanced distribution of power supply within the estimated time period, and then to enhance the stability and security of power supply after the smart grid enters the island operation.

[0068] Optionally, in step S102, there is also the following processing, and the specific operation flow is as follows:

[0069] Based on historical power generation data, calculate the average photovoltaic power generation corresponding to the unit sunshine duration, and the corresponding hydropower generation per unit duration;

[0070] According to the estimated sunshine duration and the estimated duration in the estimated climate information, the estimated photovoltaic power generation and the estimated hydropower generation within the estimated duration are calculated and generated, and the estimated photovoltaic power generation and the estimated hydropower generation are summarized to generate the estimated power generation data.

[0071] During implementation, the intelligent terminal uses the historical photovoltaic power generation and the historical hydropower generation in the historical power generation data to calculate the average photovoltaic power generation per unit sunshine duration and the hydropower generation per unit duration, respectively. The unit sunshine duration here can be 1 minute, 1 hour, etc.

[0072] Then, the intelligent terminal multiplies the estimated sunshine duration in the estimated climate information by the average photovoltaic power generation under the unit sunshine duration to calculate the estimated photovoltaic power generation, and multiplies the hydropower generation under the unit duration by the estimated duration to calculate the estimated hydropower generation. Then, the estimated photovoltaic power generation and the estimated hydropower generation are summarized to generate the estimated power generation data. The estimated power generation data here includes the change curve of the estimated power generation.

[0073] Optionally, in step S104, there is also Figure 2 The specific operation process is as follows:

[0074] S201, retrieve historical climate data in the current area before the isolated network is operated from a storage database, where the historical climate data consists of historical climate information on multiple dates.

[0075] In implementation, historical climate data is stored in the smart terminal. The historical climate data consists of historical climate information on multiple dates. For example, there is historical climate information for each day one week before the current moment. The specific historical climate information includes sunshine duration and historical temperature values ​​at multiple time nodes.

[0076] The historical electricity consumption data is composed of the historical electricity consumption information on each date, so as to reflect the electricity consumption of each day through the historical electricity consumption information.

[0077] S202, generating power consumption distribution status information within a corresponding estimated time period based on historical power consumption data of multiple power consuming units.

[0078] During implementation, the intelligent terminal obtains the estimated climate information within the estimated duration, and then matches the corresponding historical electricity consumption information with the estimated climate information from multiple historical electricity consumption information. Among them, the historical temperature average can be calculated based on the historical temperature values ​​at multiple time nodes, and the estimated temperature average is calculated from the estimated temperature values ​​at multiple time nodes for matching, and specifically, the historical temperature average that is closest to the estimated temperature average is matched among the multiple historical temperature averages.

[0079] If multiple pieces of historical climate information are matched, data integration is performed using the historical electricity consumption information corresponding to the multiple pieces of historical climate information matched here.

[0080] Specifically, the corresponding historical electricity consumption information here is called approximate historical electricity consumption information. The average historical electricity consumption is calculated using multiple approximate historical electricity consumption information and the historical electricity consumption in the same unit time period. Then, the average historical electricity consumption in multiple unit time periods is used as the proportion of the total of multiple average historical consumptions to generate electricity distribution status information.

[0081] If multiple historical climate information is matched, the average historical electricity consumption corresponding to the multiple historical climate information under each unit time length is used to generate the electricity consumption distribution status information through the average historical electricity consumption under multiple unit time lengths.

[0082] It should also be noted that the above takes the estimated duration of 1 day as an example. When the estimated duration is less than 1 day, the corresponding time period of the estimated duration can be analyzed by only analyzing the historical electricity consumption data and historical climate data in one day. At the same time, when the estimated duration is greater than 1 day, the estimated duration can be split into multiple days for analysis. The specific processing method is similar to the above and will not be elaborated on.

[0083] S203, generating power optimization allocation data according to the power consumption distribution status information and the available power consumption.

[0084] During implementation, the intelligent terminal divides the available power consumption according to the power distribution status information, so as to generate the power allocated for each unit time, and summarize the generated power optimization allocation data.

[0085] Optionally, in step S202, there is also Figure 3 The specific operation process is as follows:

[0086] S301, based on the estimated temperature values ​​at multiple different time points in the estimated climate information, a corresponding estimated temperature average is calculated and generated, and corresponding approximate historical climate information is matched in the historical climate data according to the estimated temperature average.

[0087] In implementation, the smart terminal uses the estimated temperature value in the estimated climate information to calculate the estimated temperature average within the estimated time period, then calculates the historical temperature average in each historical climate information in the historical climate data, and then matches the closest historical climate information with the estimated temperature average, which is called approximate historical climate information. The matched approximate historical climate information here can be one or more.

[0088] It should be noted that when the estimated duration is less than one day, the historical climate in the same time period of the historical date is extracted for matching. For example, if the estimated duration is from 10:00 to 14:00 in a day, the historical climate information is extracted from 10:00 to 14:00 in a day to calculate the historical temperature average.

[0089] When the estimated duration is longer than one day, the estimated duration is divided into multiple days based on the 24 hours in a day and the corresponding historical climate information is matched respectively. Here, the estimated duration is taken as a whole day as an example, and other processing is similar to it, so it will not be elaborated on.

[0090] S302: Divide the estimated duration after the current moment into a plurality of unit time periods according to the preset stage duration.

[0091] In implementation, the intelligent terminal divides the estimated time after the current moment into multiple time periods according to the preset stage duration, and the divided multiple time periods are called unit time periods.

[0092] S303, obtaining the total historical power consumption of multiple power consumption units in each unit time period according to the historical power consumption information corresponding to the approximate historical climate information, and generating power consumption distribution state information according to the multiple historical power consumptions corresponding to the approximate climate information.

[0093] In implementation, the intelligent terminal calculates the power consumption distribution ratio of each unit period based on the total power consumption of multiple power consumption units in each unit period in the approximate historical climate information, and then summarizes the power consumption distribution ratios of multiple unit periods to generate power consumption distribution status information.

[0094] Optionally, in step S203, there is also the following processing, and the specific processing flow is as follows:

[0095] According to the power consumption distribution status information, the unit power allocation in each unit time period is divided within the estimated duration;

[0096] Generate electricity optimization and allocation data based on the electricity distribution of multiple units.

[0097] In the implementation, the smart terminal multiplies the power distribution ratio corresponding to each unit time period in the power distribution status information by the available power consumption to calculate the unit allocated power corresponding to each unit time period. Then the smart terminal summarizes the unit allocated power allocated to each unit time period to generate power optimization adjustment data.

[0098] Optionally, in this application, there is also the following processing, and the specific operation process is as follows:

[0099] Based on the power distribution of multiple units, the estimated total power change information of multiple battery groups is calculated and generated.

[0100] During implementation, the intelligent terminal constructs an estimated electricity demand change curve based on the unit allocated electricity, and then constructs an estimated power generation curve based on the estimated power generation data.

[0101] After subtracting the estimated power generation curve from the estimated power demand change curve, the total charge and discharge capacity change curve of multiple battery groups is calculated, and then the total estimated power change information of multiple battery groups is calculated based on the preset charging conversion ratio. Here, the estimated total power change information consists of multiple estimated total powers.

[0102] The total power bottom line value is calculated and generated based on the preset battery capacity threshold and the total capacity of multiple battery packs.

[0103] In implementation, a battery capacity threshold is preset in the smart terminal, for example, 20%. By setting the battery capacity threshold, over-discharge of the battery is reduced and the service life of the battery is reduced.

[0104] The intelligent terminal multiplies the total capacity of multiple battery packs by the battery capacity threshold to calculate and generate a total power bottom line value.

[0105] If the estimated total power in the estimated total power change information is less than or equal to the total power bottom line value within the target unit time period, the optimized scheduling power of the battery group within the target unit time period will be updated according to the total power bottom line value.

[0106] In implementation, when the smart terminal identifies a unit time period, referred to herein as a target unit time period, in which the estimated total power is less than or equal to a bottom line value of total power, the smart terminal uses the bottom line value of total power as the minimum power value after releasing power in the target unit time period.

[0107] Furthermore, the estimated total power change information is updated with the minimum power value of the battery pack, and then the power optimization allocation data of multiple battery packs are updated with the estimated total power change information.

[0108] The embodiment of the present application also discloses a safety state control system for a power system source, grid, load and storage, the system includes an intelligent terminal, and the intelligent terminal includes:

[0109] An information acquisition module is used to retrieve from the storage database the historical power consumption data of multiple power users in the current area before the isolated grid is put into operation, as well as the historical power generation data of multiple centralized clean energy power generation equipment and multiple distributed photovoltaic power generation equipment;

[0110] The power generation state estimation module is used to obtain estimated climate information within a preset estimated time period after the current moment in a specified network address, and generate estimated power generation data within an estimated time period after the current moment based on the estimated climate information and historical power generation data;

[0111] The power information aggregation module is used to obtain the current storage power of multiple battery groups in the current area, and generate the available power within the estimated time after the current moment based on the multiple current storage power and estimated power generation data;

[0112] The power optimization allocation module is used to generate power optimization control data based on the available power and historical power consumption data of multiple power consumption units;

[0113] The power optimization allocation module is used to adjust the optimized dispatching power of multiple battery groups in the current area according to the power optimization control data.

[0114] Optional, intelligent terminal, specifically used for:

[0115] The power generation status estimation module is used to calculate the average photovoltaic power generation corresponding to the unit sunshine duration and the corresponding hydropower generation per unit duration based on historical power generation data;

[0116] The power generation status estimation module is used to calculate and generate the estimated photovoltaic power generation and the estimated hydropower generation within the estimated duration according to the estimated sunshine duration and the estimated duration in the estimated climate information, and to summarize the estimated photovoltaic power generation and the estimated hydropower generation to generate the estimated power generation data.

[0117] Optional, intelligent terminal, specifically used for:

[0118] The power optimization distribution module is used to retrieve the historical climate data in the current area before the isolated grid operation from the storage database. The historical climate data consists of historical climate information under multiple dates;

[0119] The power optimization allocation module is used to generate power consumption distribution status information within the corresponding estimated time period based on the historical power consumption data of multiple power users;

[0120] The power optimization allocation module is used to generate power optimization allocation data based on power distribution status information and available power consumption.

[0121] Optional, intelligent terminal, specifically used for:

[0122] The power optimization allocation module calculates and generates the corresponding estimated temperature average based on the estimated temperature values ​​at multiple different time points in the estimated climate information, and matches the corresponding approximate historical climate information in the historical climate data according to the estimated temperature average;

[0123] The power optimization allocation module is used to divide the estimated time after the current moment into multiple unit time periods according to the preset stage duration;

[0124] The power optimization allocation module is used to obtain the total historical power consumption of multiple power consumption units in each unit time period based on the historical power consumption information corresponding to the approximate historical climate information, and generate power consumption distribution status information based on the multiple historical power consumption corresponding to the approximate climate information.

[0125] Optional, intelligent terminal, specifically used for:

[0126] The power optimization allocation module is used to divide the unit allocation power in each unit time period within the estimated duration according to the power distribution status information;

[0127] The power optimization allocation module is used to generate power optimization allocation data based on the power allocation summary of multiple units.

[0128] Optionally, the smart terminal can also be used to:

[0129] A power optimization allocation module is used to allocate power according to multiple units and generate estimated total power change information of multiple battery groups;

[0130] The power optimization allocation module is used to calculate and generate a total power bottom line value according to a preset battery capacity threshold and the total capacity of multiple battery groups;

[0131] The power optimization allocation module updates the optimized dispatching power of the battery group in the target unit period according to the total power bottom line value if the estimated total power in the estimated total power change information is less than or equal to the total power bottom line value within the target unit period.

[0132] Figure 4 : is a schematic diagram of the structure of the intelligent terminal provided in the embodiment of the present application. The intelligent terminal may have relatively large differences due to different configurations or performances, and may include one or more central processing units (for example, one or more processors) and memories, and one or more storage media for storing applications or data (for example, one or more mass storage devices). Among them, the memory and storage medium may be temporary storage or permanent storage. The program stored in the storage medium may include one or more modules (not shown in the figure), and each module may include a series of instruction operations in the intelligent terminal.

[0133] The intelligent terminal may also include one or more power supplies, one or more wired or wireless network interfaces, one or more input and output interfaces, one or more keyboards, and / or one or more operating systems.

[0134] The intelligent terminal may include a memory and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by one or more processors. The one or more programs include the processing of the intelligent terminal in the above-mentioned safety state control method of the power system source, grid, load and storage.

[0135] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program. The program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, etc.

[0136] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for controlling the safe state of a power system source, grid, load and storage, characterized in that: After identifying that the smart grid enters an isolated grid operation state, the method includes: Retrieve historical electricity consumption data of multiple electricity users in the current area before the isolated grid is put into operation from the storage database, as well as historical power generation data of multiple centralized clean energy power generation equipment and multiple distributed photovoltaic power generation equipment; Obtain estimated climate information within a preset estimated time period after the current moment at a specified network address, and generate estimated power generation data within the estimated time period after the current moment based on the estimated climate information and the historical power generation data; Acquire the current storage power of multiple battery packs in the current area, and generate the available power within the estimated time after the current moment according to the multiple current storage power and the estimated power generation data; Generate power optimization and control data according to the available power and the historical power consumption data of the plurality of power consuming units; According to the power optimization control data, the optimized dispatching power of the plurality of battery groups in the current area is adjusted.

2. The method according to claim 1, characterized in that The generating, based on the estimated climate information and the historical power generation data, the estimated power generation data within the estimated time period after the current moment, comprises: According to the historical power generation data, the average photovoltaic power generation corresponding to the unit sunshine duration and the corresponding hydropower generation per unit duration are calculated; According to the estimated sunshine duration in the estimated climate information and the estimated duration, the estimated photovoltaic power generation and the estimated hydropower generation within the estimated duration are calculated and generated, and the estimated photovoltaic power generation and the estimated hydropower generation are summarized to generate estimated power generation data.

3. The method according to claim 2, characterized in that The step of generating power optimization and control data according to the available power and the historical power consumption data of the plurality of power consumption units includes: Retrieving historical climate data in the current area before the isolated network is operated from a storage database, wherein the historical climate data is composed of historical climate information on multiple dates; Based on the historical electricity consumption data of the plurality of electricity consuming units, generating electricity consumption distribution status information corresponding to the estimated duration; According to the power consumption distribution status information and the adjustable power consumption, power optimization allocation data is generated.

4. The method according to claim 3, characterized in that: Each of the historical electricity consumption data includes historical electricity consumption information corresponding to each of the historical climate information on multiple dates; The generating of the power consumption distribution state information corresponding to the estimated duration based on the historical power consumption data of the plurality of power consumption units includes: Based on the estimated temperature values ​​at multiple different time points in the estimated climate information, a corresponding estimated temperature average is calculated and generated, and corresponding approximate historical climate information is matched in the historical climate data according to the estimated temperature average; According to the preset stage duration, the estimated duration after the current moment is divided into a plurality of unit time periods; According to the historical power consumption information corresponding to the approximate historical climate information, the total historical power consumption of multiple power consumption units in each unit time period is obtained, and power consumption distribution state information is generated according to the multiple historical power consumptions corresponding to the approximate climate information.

5. The method according to claim 4, characterized in that The step of generating power optimization allocation data according to the power consumption distribution state information and the adjustable power consumption includes: According to the power consumption distribution state information, dividing the unit power distribution in each unit time period within the estimated duration; The power optimization and deployment data is generated based on the summary of the power distribution of the multiple units.

6. The method according to claim 5, characterized in that The method further comprises: Generating estimated total power change information of the plurality of battery groups according to the plurality of unit allocated power; Calculate and generate a total power bottom line value based on a preset battery capacity threshold and the total capacity of multiple battery groups; If the estimated total power in the estimated total power change information is less than or equal to the total power bottom line value within the target unit time period, the optimized scheduled power of the battery group within the target unit time period will be updated according to the total power bottom line value.

7. A power system source grid load storage safety state control system, characterized in that: The system includes an intelligent terminal, and the intelligent terminal includes: An information acquisition module is used to retrieve from the storage database the historical power consumption data of multiple power users in the current area before the isolated grid is put into operation, as well as the historical power generation data of multiple centralized clean energy power generation equipment and multiple distributed photovoltaic power generation equipment; A power generation state estimation module, used to obtain estimated climate information within a preset estimated time period after the current moment in a specified network address, and generate estimated power generation data within the estimated time period after the current moment based on the estimated climate information and the historical power generation data; The power information aggregation module is used to obtain the current storage power of multiple battery packs in the current area, and generate the available power within the estimated time after the current moment according to the multiple current storage power and the estimated power generation data; An electricity optimization allocation module, used for generating electricity optimization control data according to the available electricity and the historical electricity consumption data of the plurality of electricity users; The power optimization allocation module is used to adjust the optimized scheduling power of the multiple battery groups in the current area according to the power optimization control data.

8. An intelligent terminal, characterized in that: The intelligent terminal includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set are loaded and executed by the processor to implement the processing of the intelligent terminal in the safe state control method of the power system source, grid, load and storage as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set are loaded and executed by the processor to implement the processing of the intelligent terminal in the safe state control method of the power system source, grid, load and storage as described in any one of claims 1 to 6.

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