Energy margin regulation and control method, device and equipment of sending-end power grid and storage medium

Abstract

The embodiment of the invention provides an energy margin regulation and control method and device of a sending-end power grid, equipment and a storage medium, and the method comprises the steps: determining historical energy supply data of a power grid subsystem in the sending-end power grid; determining an influence factor set corresponding to the sending-end power grid based on the historical energy supply data; determining an energy supply index set of the sending-end power grid based on the influence factor set and the historical energy supply data; and predicting an energy supply fluctuation index of the transmitting-end power grid based on the energy supply index set, and determining a target energy margin of the transmitting-end power grid according to the energy supply fluctuation index. The method comprises the following steps: analyzing historical energy supply data of each power grid subsystem of a sending-end power grid to obtain an energy supply index of each power grid subsystem, further predicting a power supply index of the sending-end power grid according to the energy supply index of each power grid subsystem, and finally determining a target energy margin of the sending-end power grid according to the power supply index. The power distribution proportion of renewable energy power generation can be reasonably distributed based on the energy supply state of the sending end power grid according to the target energy margin.

Description

Technical Field

[0001] The embodiments of this specification relate to the technical field of power grid control, and in particular to a method, device, equipment and storage medium for regulating energy margin of a sending-end power grid. Background Art

[0002] In the power grid, with the growth of global demand for clean energy, renewable energy generation participating in the energy transmission of electricity, heat and gas in the sending-end power grid has become an important trend in the development of the power system. However, the intermittent and volatile nature of renewable energy generation will have an impact on the stability of the power grid. This will further cause energy fluctuations in the sending-end power grid, which has led to the use of thermal power generation peak shaving to suppress the energy fluctuations caused by renewable energy generation. However, when using thermal power generation peak shaving suppression, because thermal power generation is difficult to control flexibly, the economic efficiency of power grid operation will be greatly reduced when using thermal power generation peak shaving suppression.

[0003] Therefore, an effective solution is urgently needed to solve the problem of peak load suppression on the sending-end power grid. Summary of the invention

[0004] In view of this, an embodiment of this specification provides an energy margin control method for a sending-end power grid. One or more embodiments of this specification also relate to an energy margin control device for a sending-end power grid, a computing device, a computer-readable storage medium, and a computer program to solve the technical defects existing in the prior art.

[0005] According to a first aspect of an embodiment of this specification, a method for controlling energy margin of a sending-end power grid is provided, comprising:

[0006] Determine historical energy supply data of the grid subsystem in the sending-end grid;

[0007] Determine the influencing factor set corresponding to the sending-end power grid based on historical energy supply data;

[0008] Determine the energy supply index set of the sending-end power grid based on the influencing factor set and historical energy supply data;

[0009] The energy supply fluctuation index of the sending-end power grid is predicted based on the energy supply index set, and the target energy margin of the sending-end power grid is determined according to the energy supply fluctuation index.

[0010] In some embodiments of this specification, determining a set of influencing factors corresponding to each power grid subsystem based on historical energy supply data includes:

[0011] Determine the quantitative data of each grid subsystem based on historical energy supply data;

[0012] An influencing factor of each power grid subsystem is determined based on the quantitative data of all power grid subsystems, and an influencing factor set is constructed based on the influencing factors of all power grid subsystems.

[0013] In some embodiments of the present specification, determining the quantitative data of each power grid subsystem according to the historical energy supply data includes:

[0014] Determine the energy supply data of each power grid subsystem at multiple historical moments within a predetermined time according to the historical energy supply data;

[0015] The quantitative data of each power grid subsystem at a first predetermined moment is determined according to the energy supply data of a plurality of historical moments corresponding to each power grid subsystem.

[0016] In some embodiments of the present specification, determining the energy supply index set of the sending-end power grid based on the influencing factor set and the historical energy supply data includes:

[0017] For any power grid subsystem in the sending-end power grid, determine the impact factor corresponding to the power grid subsystem from the impact factor set as the target impact factor, and determine the historical energy supply data of the power grid subsystem from the historical energy supply data as the target energy supply data;

[0018] Determine the target energy supply index of the power grid subsystem based on the target influencing factor and the target energy supply data;

[0019] All target energy supply indicators are determined based on all grid subsystems in the sending-end grid, and an energy supply indicator set is constructed based on all target energy supply indicators.

[0020] In some embodiments of the present specification, determining a target energy margin of a sending-end power grid according to an energy supply fluctuation index includes:

[0021] Determining whether the energy supply fluctuation index is within a first predetermined range;

[0022] If the energy supply fluctuation index is within the first predetermined range, the current energy margin of the sending-end power grid is acquired, and the target energy margin of the sending-end power grid is determined based on the current energy margin and the first predetermined coefficient.

[0023] In some embodiments of the present specification, determining a target energy margin of a sending-end power grid according to an energy supply fluctuation index includes:

[0024] determining whether the energy supply fluctuation index is within a second predetermined range;

[0025] If the energy supply fluctuation index is within the second predetermined range, the current energy margin of the sending-end power grid is acquired, and the target energy margin of the sending-end power grid is determined based on the current energy margin and the second predetermined coefficient.

[0026] In some embodiments of the present specification, determining a target energy margin of a sending-end power grid according to an energy supply fluctuation index includes:

[0027] determining whether the energy supply fluctuation index is within a third predetermined range;

[0028] If the energy supply fluctuation index is within the third predetermined range, the current energy margin of the sending-end power grid is acquired, and the target energy margin of the sending-end power grid is determined based on the current energy margin and the third predetermined coefficient.

[0029] According to a second aspect of an embodiment of this specification, there is provided an energy margin control device for a sending-end power grid, comprising:

[0030] A data collection module, used to determine historical energy supply data of the power grid subsystem in the sending-end power grid;

[0031] An impact factor determination module, used to determine an impact factor set corresponding to the sending-end power grid based on historical energy supply data;

[0032] An energy supply index determination module, used to determine an energy supply index set of a sending-end power grid based on an influencing factor set and historical energy supply data;

[0033] The energy margin determination module is used to predict the energy supply fluctuation index of the sending-end power grid based on the energy supply index set, and determine the target energy margin of the sending-end power grid according to the energy supply fluctuation index.

[0034] According to a third aspect of an embodiment of this specification, a computing device is provided, including:

[0035] Memory and processor;

[0036] The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the above-mentioned energy margin control method of the sending-end power grid are implemented.

[0037] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of the above-mentioned energy margin control method of the sending-end power grid are implemented.

[0038] According to a fifth aspect of the embodiments of this specification, a computer program is provided, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned method for controlling energy margin of a sending-end power grid.

[0039] An embodiment of the present specification implements a method for controlling an energy margin of a sending-end power grid. The method obtains an energy supply index of each power grid subsystem by analyzing historical energy supply data of each power grid subsystem of the sending-end power grid, and further predicts a power supply index of the sending-end power grid based on the energy supply index of each power grid subsystem. Finally, a target energy margin of the sending-end power grid is determined based on the power supply index. That is, the distribution ratio of renewable energy power generation can be reasonably allocated based on the target energy margin and the energy supply status of the sending-end power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a flow chart of a method for controlling energy margin of a sending-end power grid provided by an embodiment of this specification;

[0041] Figure 2 It is a structural schematic diagram of an energy margin control device of a sending-end power grid provided by an embodiment of this specification;

[0042] Figure 3 It is a structural block diagram of a computing device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0043] Many specific details are described in the following description to facilitate a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of this specification, so this specification is not limited to the specific implementation disclosed below.

[0044] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0045] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0046] The present invention aims to solve the problems of uncertain power generation and low energy utilization rate of other security-type power grids caused by the uncertainty and volatility of different energy sources in the sending-end power grid constructed in the form of multiple energy sources.

[0047] In order to solve the above problems, a first aspect of an embodiment of this specification provides an energy margin control method for a sending-end power grid, comprising:

[0048] Step S1, determining historical energy supply data of a power grid subsystem in a sending-end power grid;

[0049] Step S2: determining a set of influencing factors corresponding to the sending-end power grid based on historical energy supply data;

[0050] Step S3, determining the energy supply index set of the sending-end power grid based on the influencing factor set and the historical energy supply data;

[0051] Step S4: predicting the energy supply fluctuation index of the sending-end power grid based on the energy supply index set, and determining the target energy margin of the sending-end power grid according to the energy supply fluctuation index.

[0052] In the embodiments of this specification, the power grid subsystem refers to the corresponding different types of power generation grids in the sending-end power grid, and in this embodiment mainly refers to the power grid that uses renewable energy to generate electricity;

[0053] The power grid subsystem refers to a power generation system that provides power to the sending-end power grid. In some embodiments of this specification, the power grid subsystem includes a wind power generation system, a solar power generation system, a natural gas power generation system, and a thermal power generation system;

[0054] Historical energy supply data refers to the power supplied by the power grid subsystem to the sending-end power grid within a certain period of time, as well as the energy of the power grid subsystem;

[0055] The impact factor represents the impact data of the corresponding power grid system on the power supply generated by the sending-end power grid at the next moment or in the future within a certain period of time. The impact factor corresponds to the energy supply data of the corresponding power grid subsystem one by one;

[0056] The impact factor set is the set of impact factors corresponding to all power grid subsystems of the sending-end power grid;

[0057] The energy supply index set is a collection of all energy supply indexes of the sending-end power grid. The energy supply index in the energy supply index set represents the ability of the corresponding power grid subsystem to supply power to the sending-end power grid, and the energy supply index changes according to the fluctuation of the power generation energy of the power grid subsystem.

[0058] The energy supply fluctuation index is a digital representation of the characteristics of the power fluctuation of the power grid at the sending end;

[0059] The target energy margin indicates the difference between the power supply capacity and load of the sending-end power grid, and is used to indicate the power supply capacity of the sending-end power grid at the corresponding moment. Furthermore, the power generation strategy of each power grid subsystem of the sending-end power grid can be adjusted according to the target energy margin. For example, the amount of fuel that affects the power generation of thermal power can be adjusted.

[0060] In this embodiment, in step S1, firstly, based on the unknown corresponding grid subsystems of the sending grid, the energy output by each grid subsystem to the sending grid and the energy corresponding to each grid subsystem in the past period of time are determined.

[0061] In step S2, the impact factor corresponding to each power grid subsystem is determined according to the historical energy supply data, and an impact factor set is constructed with the impact factors of all power grid subsystems.

[0062] In step S3, for each power grid subsystem, the historical energy supply data of the power grid subsystem is determined from the historical energy supply data, and the corresponding influencing factor of the power grid subsystem is also determined from the influencing factor set. Then, the energy supply index of the power grid subsystem is determined according to the influencing factor and the historical energy supply data of the power grid subsystem. Similarly, the corresponding energy supply index is obtained in the same way for all power grid subsystems.

[0063] In step S4, after determining the energy supply index of each grid subsystem of the sending-end grid, the energy supply index of each grid subsystem is summed to obtain the overall energy supply index, and the corresponding energy supply fluctuation index is predicted based on the overall energy supply index and the corresponding historical energy supply data.

[0064] In some embodiments of this specification, determining a set of influencing factors corresponding to each power grid subsystem based on historical energy supply data includes:

[0065] Determine the quantitative data of each grid subsystem based on historical energy supply data;

[0066] An influencing factor of each power grid subsystem is determined based on the quantitative data of all power grid subsystems, and an influencing factor set is constructed based on the influencing factors of all power grid subsystems.

[0067] In some embodiments of the present specification, determining the quantitative data of each power grid subsystem according to the historical energy supply data includes:

[0068] Determine the energy supply data of each power grid subsystem at multiple historical moments within a predetermined time according to the historical energy supply data;

[0069] The quantitative data of each power grid subsystem at a first predetermined moment is determined according to the energy supply data of a plurality of historical moments corresponding to each power grid subsystem.

[0070] In this embodiment, the quantified data refers to the quantified data of the corresponding historical energy supply data. The energy supply data of each grid subsystem of the sending-end grid is quantified to obtain the quantified data corresponding to each grid subsystem. Then, the influence factor of each grid subsystem is determined based on the relationship between the quantified data of the quantified grid subsystem and the quantified data of other grid subsystems. To represent the influence of each grid subsystem on the overall energy supply of the sending-end grid.

[0071] Specifically, in a typical embodiment of the present specification, the power grid subsystem corresponding to the sending-end power grid package includes a natural gas system and a thermal system, and the corresponding historical energy supply data is expressed as:

[0072]

[0073] Among them, t1, t2, ..., t k ,…,t n is a fixed time interval of n moments, where n is a natural number, n∈1,2,L, k is the kth moment, k is a natural number, and k∈{1,2,L,n};

[0074] t k The energy transmitted outward from the power system of the sending-end grid at any moment;

[0075] t k The energy of the power system of the sending-end grid at any moment;

[0076] t k The energy transmitted outward by the natural gas system of the power grid at the sending end at any moment;

[0077] t k The energy of the natural gas system of the power grid at the moment of delivery;

[0078] t k The energy transmitted outward by the thermal system of the power grid at the sending end at any moment;

[0079] t k The energy of the thermal system of the power grid at the sending end at all times.

[0080] Further, from t1, t2, ..., t k ,...,t n The minimum value of energy W transmitted to the power system of the sending end grid is determined from the historical energy supply data of d,min and the maximum value W d,max ; The minimum energy value E of the power system of the sending-end power grid d,min and the maximum value E d,max; The minimum value of energy transmitted to the outside by the natural gas system of the sending grid W g,min and the maximum value W g,max ; Minimum energy value G of the natural gas system of the sending grid g,min and the maximum value G g,max ; The minimum value of energy transmitted to the outside by the thermal system of the sending-end power grid W h,min and the maximum value W h,max ; The minimum energy value H of the thermal system of the sending-end power grid h,min and the maximum value H h,max .

[0081] Then, according to the maximum and minimum values ​​of the historical data of each power grid subsystem, the quantitative data corresponding to each power grid subsystem is determined by normalization, that is:

[0082]

[0083] In the formula, t k The normalized value of energy transmitted outward by the power system of the sending-end power grid at the moment; t k The normalized value of energy of the power system of the sending-end power grid at the moment; t k The normalized value of energy transmitted outward by the natural gas system of the sending-end power grid at the moment; t k The normalized value of energy of the natural gas system of the power grid at the sending end at the moment; t k The normalized value of energy transmitted outward by the thermal system of the power grid at the sending end at the moment; t k The normalized value of the energy of the thermal system of the sending-end power grid at time instant.

[0084] Furthermore, after the energy supply data of the power grid at the corresponding moment of the sending end is quantified according to the historical energy supply data, the impact factor corresponding to the energy supply data at the next moment is determined according to the quantified data of the energy supply at the corresponding moment, that is:

[0085]

[0086] In the formula, It is the influence factor of the energy measurement data transmitted outward by the power system of the sending-end power grid on the energy supply fluctuation index of the sending-end power grid at the next moment; The influence factor of the energy measurement data of the power system of the sending-end power grid on the energy supply fluctuation index of the sending-end power grid at the next moment; It is the influence factor of the energy measurement data transmitted outward by the natural gas system of the sending-end power grid on the energy supply fluctuation index of the sending-end power grid at the next moment; The energy measurement data of the natural gas system of the sending-end power grid affects the energy fluctuation index of the sending-end power grid at the next moment. It is the influence factor of the energy measurement data transmitted outward by the thermal system of the sending-end power grid on the energy fluctuation index of the sending-end power grid at the next moment; It is the influence factor of the energy measurement data of the thermal system of the sending-end power grid on the energy fluctuation index of the power grid at the next moment; wherein the energy measurement data is the corresponding historical energy supply data obtained by measurement.

[0087] In some embodiments of the present specification, determining the energy supply index set of the sending-end power grid based on the influencing factor set and the historical energy supply data includes:

[0088] For any power grid subsystem in the sending-end power grid, determine the impact factor corresponding to the power grid subsystem from the impact factor set as the target impact factor, and determine the historical energy supply data of the power grid subsystem from the historical energy supply data as the target energy supply data;

[0089] Determine the target energy supply index of the power grid subsystem based on the target influencing factor and the target energy supply data;

[0090] All target energy supply indicators are determined based on all grid subsystems in the sending-end grid, and an energy supply indicator set is constructed based on all target energy supply indicators.

[0091] In this embodiment, as in the above example, the influencing factors of the energy supply data transmitted outward by the natural gas system of the sending-end power grid are obtained. and Further, determine t k Historical energy supply data at all times and The energy supply index of the natural gas system of the sending power grid at the next moment is calculated based on this:

[0092]

[0093] Similarly, for obtaining the thermal system of the sending-end power grid, the influencing factors of the corresponding energy supply data are also obtained. and And in t k Historical energy supply data at all times and And use this to calculate the energy supply index of the heat system of the sending-end power grid at the next moment:

[0094]

[0095] Furthermore, in some embodiments described herein, the energy supply index of the sending-end power grid is determined based on the influencing factor of the energy supply data of the sending-end power grid and the corresponding historical energy supply data. and And in t k Historical energy supply data at all times and And further calculate the corresponding energy supply index:

[0096]

[0097] Furthermore, the energy supply fluctuation index E of the sending-end power grid is determined based on the calculated energy supply index set and the corresponding historical energy supply data. bd,pre The calculation method is:

[0098]

[0099] Where E bd,pre According to t k The energy supply fluctuation index of the sending-end power grid at the next moment is predicted based on the energy supply data of the sending-end power grid at the moment.

[0100] In some embodiments of the present specification, determining a target energy margin of a sending-end power grid according to an energy supply fluctuation index includes:

[0101] Determining whether the energy supply fluctuation index is within a first predetermined range;

[0102] If the energy supply fluctuation index is within the first predetermined range, the current energy margin of the sending-end power grid is acquired, and the target energy margin of the sending-end power grid is determined based on the current energy margin and the first predetermined coefficient.

[0103] In some embodiments of the present specification, determining a target energy margin of a sending-end power grid according to an energy supply fluctuation index includes:

[0104] determining whether the energy supply fluctuation index is within a second predetermined range;

[0105] If the energy supply fluctuation index is within the second predetermined range, the current energy margin of the sending-end power grid is acquired, and the target energy margin of the sending-end power grid is determined based on the current energy margin and the second predetermined coefficient.

[0106] In some embodiments of the present specification, determining a target energy margin of a sending-end power grid according to an energy supply fluctuation index includes:

[0107] determining whether the energy supply fluctuation index is within a third predetermined range;

[0108] If the energy supply fluctuation index is within the third predetermined range, the current energy margin of the sending-end power grid is acquired, and the target energy margin of the sending-end power grid is determined based on the current energy margin and the third predetermined coefficient.

[0109] In this embodiment, after determining the energy supply fluctuation index of the sending-end power grid, the value range of the energy supply fluctuation index is determined, and after determining the range, the adjustment coefficient corresponding to the corresponding value range is determined. According to the adjustment coefficient and the energy margin of the current sending-end power grid, the target energy margin corresponding to the sending-end power grid at the next moment is obtained.

[0110] Specifically, the target energy margin is determined as follows:

[0111]

[0112] In the formula, Indicates the energy transmission margin of the sending-end power grid at the next moment, represents the energy margin of the power grid at the sending end at the current moment. Further, from the above calculation method, it can be seen that if the E bd,pre If the result is less than 0.351, it is considered that the energy fluctuation of the sending-end power grid at the next moment is small, and the energy transmission margin of the sending-end power grid at the next moment should be reduced to 0.77DY tn , increase the energy transmitted to the outside by the sending-end power grid; if the obtained E bd,pre If the result is between 0.351 and 0.623, it is considered that the energy fluctuation of the sending-end power grid will remain normal at the next moment, and the energy transmission margin of the sending-end power grid will remain unchanged; if the predicted value E of the energy fluctuation index of the sending-end power grid is obtained bd,pre If it is greater than 0.623, it is considered that the energy fluctuation of the sending-end power grid at the next moment is large, and the energy transmission margin of the sending-end power grid at the next moment increases to 1.23 times of the original.

[0113] An embodiment of the present specification implements a method for controlling an energy margin of a sending-end power grid. The method obtains an energy supply index of each power grid subsystem by analyzing historical energy supply data of each power grid subsystem of the sending-end power grid, and further predicts a power supply index of the sending-end power grid based on the energy supply index of each power grid subsystem. Finally, a target energy margin of the sending-end power grid is determined based on the power supply index. That is, the distribution ratio of renewable energy power generation can be reasonably allocated based on the target energy margin and the energy supply status of the sending-end power grid.

[0114] like Figure 2 According to a second aspect of an embodiment of this specification, there is provided an energy margin control device for a sending-end power grid, comprising:

[0115] A data collection module 1 is used to determine the historical energy supply data of the power grid subsystem in the sending-end power grid;

[0116] An impact factor determination module 2 is used to determine an impact factor set corresponding to the sending-end power grid based on historical energy supply data;

[0117] An energy supply index determination module 3 is used to determine an energy supply index set of a sending-end power grid based on an influencing factor set and historical energy supply data;

[0118] The energy margin determination module 4 is used to predict the energy supply fluctuation index of the sending-end power grid based on the energy supply index set, and determine the target energy margin of the sending-end power grid according to the energy supply fluctuation index.

[0119] The above is a schematic scheme of an energy margin control device of a sending-end power grid of this embodiment. It should be noted that the technical scheme of the energy margin control device of the sending-end power grid and the technical scheme of the energy margin control method of the sending-end power grid belong to the same concept, and the details not described in detail in the technical scheme of the energy margin control device of the sending-end power grid can be referred to the description of the technical scheme of the energy margin control method of the sending-end power grid.

[0120] Figure 3 The block diagram of a computing device 300 according to an embodiment of the present specification is shown. The components of the computing device 300 include but are not limited to a memory 310 and a processor 320. The processor 320 is connected to the memory 310 via a bus 330, and the database 350 is used to store data.

[0121] The computing device 300 also includes an access device 340 that enables the computing device 300 to communicate via one or more networks 360. Examples of these networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 340 may include one or more of any type of network interface (e.g., a network interface card (NIC)) that is wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a world-wide interoperability for microwave access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, and a near field communication (NFC).

[0122] In one embodiment of the present specification, the above components of the computing device 300 and Figure 3 Other components not shown in the figure may also be connected to each other, for example, via a bus. It should be understood that Figure 3 The computing device structure block diagram shown is only for the purpose of illustration, and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0123] The computing device 300 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable computing device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or a personal computer (PC). The computing device 300 may also be a mobile or stationary server.

[0124] Among them, the processor 320 is used to execute the following computer executable instructions, which, when executed by the processor, implement the steps of the energy margin control method of the above-mentioned sending-end power grid. The above is a schematic scheme of a computing device of this embodiment. It should be noted that the technical scheme of the computing device and the technical scheme of the energy margin control method of the above-mentioned sending-end power grid belong to the same concept. The details of the technical scheme of the computing device that are not described in detail can be found in the description of the technical scheme of the energy margin control method of the above-mentioned sending-end power grid.

[0125] An embodiment of the present specification further provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the energy margin control method of the sending-end power grid.

[0126] The above is a schematic scheme of a computer-readable storage medium of this embodiment. It should be noted that the technical scheme of the storage medium and the technical scheme of the energy margin control method of the above-mentioned sending-end power grid belong to the same concept, and the details not described in detail in the technical scheme of the storage medium can be referred to the description of the technical scheme of the energy margin control method of the above-mentioned sending-end power grid.

[0127] An embodiment of the present specification further provides a computer program, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned energy margin control method of the sending-end power grid.

[0128] The above is a schematic scheme of a computer program of this embodiment. It should be noted that the technical scheme of the computer program and the technical scheme of the energy margin control method of the above-mentioned sending-end power grid belong to the same concept, and the details not described in detail in the technical scheme of the computer program can be referred to the description of the technical scheme of the energy margin control method of the above-mentioned sending-end power grid.

[0129] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0130] Computer instructions include computer program codes, which may be in source code form, object code form, executable files or some intermediate form, etc. Computer readable media may include: any entity or device capable of carrying computer program codes, recording media, USB flash drives, mobile hard disks, magnetic disks, optical disks, computer memories, read-only memories (ROM), random access memories (RAM), electric carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content contained in computer readable media may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer readable media do not include electric carrier signals and telecommunication signals.

[0131] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0132] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0133] The preferred embodiments of this specification disclosed above are only used to help explain this specification. The optional embodiments do not describe all the details in detail, nor do they limit the invention to specific implementation methods. Obviously, many modifications and changes can be made according to the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that those skilled in the art can understand and use this specification well. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A method for controlling energy margin of a sending-end power grid, characterized in that: include: Determining historical energy supply data of a power grid subsystem in the sending-end power grid; Determine a set of influencing factors corresponding to the sending-end power grid based on the historical energy supply data; Determine the energy supply index set of the sending-end power grid based on the influencing factor set and the historical energy supply data; An energy supply fluctuation index of the sending-end power grid is predicted based on the energy supply index set, and a target energy margin of the sending-end power grid is determined according to the energy supply fluctuation index.

2. The method according to claim 1, characterized in that: The determining of the impact factor set corresponding to each power grid subsystem based on the historical energy supply data includes: Determine quantitative data of each of the power grid subsystems according to the historical energy supply data; An influencing factor of each of the power grid subsystems is determined based on the quantitative data of all the power grid subsystems, and an influencing factor set is constructed based on the influencing factors of all the power grid subsystems.

3. The method according to claim 2, characterized in that The determining of the quantitative data of each of the power grid subsystems according to the historical energy supply data includes: Determine the energy supply data of each power grid subsystem at multiple historical moments within a predetermined time according to the historical energy supply data; The quantitative data of each power grid subsystem at a first predetermined moment is determined according to the energy supply data of a plurality of historical moments corresponding to each power grid subsystem.

4. The method according to claim 1, characterized in that The step of determining the energy supply index set of the sending-end power grid based on the influencing factor set and the historical energy supply data includes: For any power grid subsystem in the sending-end power grid, determining the impact factor corresponding to the power grid subsystem from the impact factor set as the target impact factor, and determining the historical energy supply data of the power grid subsystem from the historical energy supply data as the target energy supply data; Determining a target energy supply index of the power grid subsystem based on the target influencing factor and the target energy supply data; All target energy supply indicators are determined based on all power grid subsystems in the sending-end power grid, and an energy supply indicator set is constructed with all target energy supply indicators.

5. The method according to claim 1, characterized in that Determining the target energy margin of the sending-end power grid according to the energy supply fluctuation index includes: Determining whether the energy supply fluctuation index is within a first predetermined range; If the energy supply fluctuation index is within a first predetermined range, the current energy margin of the sending-end power grid is acquired, and the target energy margin of the sending-end power grid is determined based on the current energy margin and a first predetermined coefficient.

6. The method according to claim 1, characterized in that Determining the target energy margin of the sending-end power grid according to the energy supply fluctuation index includes: determining whether the energy supply fluctuation index is within a second predetermined range; If the energy supply fluctuation index is within a second predetermined range, the current energy margin of the sending-end power grid is acquired, and the target energy margin of the sending-end power grid is determined based on the current energy margin and a second predetermined coefficient.

7. The method according to claim 1, characterized in that Determining the target energy margin of the sending-end power grid according to the energy supply fluctuation index includes: determining whether the energy supply fluctuation index is within a third predetermined range; If the energy supply fluctuation index is within a third predetermined range, the current energy margin of the sending-end power grid is acquired, and the target energy margin of the sending-end power grid is determined based on the current energy margin and a third predetermined coefficient.

8. An energy margin control device for a sending-end power grid, characterized in that: include: A data collection module, used to determine the historical energy supply data of the power grid subsystem in the sending-end power grid; An impact factor determination module, used to determine an impact factor set corresponding to the sending-end power grid based on the historical energy supply data; An energy supply index determination module, used to determine the energy supply index set of the sending-end power grid based on the influencing factor set and the historical energy supply data; An energy margin determination module is used to predict the energy supply fluctuation index of the sending-end power grid based on the energy supply indicator set, and determine the target energy margin of the sending-end power grid according to the energy supply fluctuation index.

9. A computing device, characterized in that include: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the energy margin control method of the sending-end power grid described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the energy margin control method for a sending-end power grid as claimed in any one of claims 1 to 7.

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