Power distribution network elastic interaction safety score determination method and device and storage medium

Abstract

The invention discloses a power distribution network elastic interaction safety score determination method and device and a storage medium. The method comprises the following steps: determining an elastic interaction area; determining an evaluation index corresponding to the power grid of the elastic interaction area; and according to the first evaluation result, the second evaluation result, the third evaluation result, the fourth evaluation result and the corresponding weight coefficients, determining an elastic interaction safety score of the power distribution network. The technical problems that the interaction robustness of a new energy high-permeability system is too high, a safety evaluation method in the related technology mainly aims at constructing a safety index system for a single level, the conditions that power grid indexes are frequently out of limit due to new energy fluctuation and the like are not considered, and a comprehensive quantitative evaluation method better conforming to the actual situation is lacked are solved.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a method, device and storage medium for determining a distribution network elastic interactive safety score. Background Art

[0002] As part of the power grid, the distribution network bears the heavy responsibility of distributing electric energy. Its safety is the basis for its stable operation and development. That is, the current power grid mainly uses flexible interaction. The grid constraints of this interactive mode are fixed and unchanged. If a certain value is exceeded, the load will be directly shed. Due to the access of new energy, its uncertainty can easily lead to frequent over-limit situations in the power system. The safety assessment method of the distribution network in related technologies mainly builds a safety indicator system for a single level. It is directly used in the interaction of high-penetration new energy systems. The robustness is too strong, and there is a lack of a comprehensive quantitative assessment method that is more in line with the actual situation.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present application provide a method, device and storage medium for determining the elastic interactive safety score of a distribution network, so as to at least solve the problem that the interactive robustness of a system with a high penetration rate of new energy is too strong. However, the safety assessment method in the related art mainly constructs a safety indicator system at a single level, and does not consider the situation where the power grid indicators frequently exceed the limit due to fluctuations in new energy, and lacks a technical problem of a comprehensive quantitative assessment method that is more in line with the actual situation.

[0005] According to one aspect of an embodiment of the present application, a method for determining a distribution network elastic interaction safety score is provided, comprising: determining an elastic interaction area, wherein the elastic interaction area is a power grid defined by applying the elastic interaction definition of the power grid, and the elastic interaction definition of the power grid is a dynamic constraint "source-storage-load" interaction mode adopted in areas where a large number of new energy power grids are connected to the grid to reduce the impact of new energy fluctuations on power grid efficiency, power grid cost, and power grid emission reduction; determining evaluation indicators corresponding to the power grid in the elastic interaction area, wherein the power grid in the elastic interaction area corresponds to multiple dimensional levels, and the dimensional levels include: power grid security layer, power grid efficiency layer, power grid cost layer and power grid carbon reduction layer, and each dimensional level corresponds to different evaluation indicators; determining a first evaluation result corresponding to the power grid security layer based on the indicator value of the first evaluation indicator corresponding to the power grid security layer, and determining a second evaluation result corresponding to the power grid efficiency layer based on the indicator value of the second evaluation indicator corresponding to the power grid efficiency layer, wherein the first evaluation indicator includes: power grid static The second evaluation index includes: power grid reliability index, power grid maximum transmission capacity index, and power quality index; according to the index value of the third evaluation index corresponding to the power grid cost layer, the third evaluation result corresponding to the power grid cost layer is determined, and according to the index value of the fourth evaluation index corresponding to the power grid carbon reduction layer, the fourth evaluation result corresponding to the power grid carbon reduction layer is determined, wherein the third evaluation index includes: power grid cost, new electricity cost, and power abandonment cost; the fourth evaluation index includes: green electricity rate, carbon emission intensity, and carbon emission; according to the first evaluation result, the second evaluation result, the third evaluation result, the fourth evaluation result, and the corresponding weight coefficient, the distribution network elastic interaction safety score is determined, wherein the weight coefficient is used to ensure the security of the power grid in the elastic interaction area, so that the distribution network elastic interaction safety score is consistent with the benefit ranking of each elastic interaction area, and the carbon penalty is considered in the process of determining the benefit ranking of the elastic interaction area.

[0006] According to another aspect of the embodiment of the present application, a distribution network elastic interaction safety score determination device is also provided, including: an area determination module, used to determine the elastic interaction area, wherein the elastic interaction area is a power grid defined by applying the elastic interaction of the power grid, and the elastic interaction of the power grid is defined as a dynamic constraint "source-storage-load" interaction method adopted in areas where a large number of new energy power grids are connected to the grid to reduce the impact of new energy fluctuations on power grid efficiency, power grid cost, and power grid emission reduction; an indicator determination module, used to determine the evaluation index corresponding to the power grid in the elastic interaction area, wherein the power grid in the elastic interaction area corresponds to multiple dimensional levels, and the dimensional levels include: power grid security layer, power grid efficiency layer, power grid cost layer and power grid carbon reduction layer, and each dimensional level corresponds to different evaluation indicators; a first evaluation module, used to determine the first evaluation result corresponding to the power grid security layer according to the indicator value of the first evaluation indicator corresponding to the power grid security layer, and determine the second evaluation result corresponding to the power grid efficiency layer according to the indicator value of the second evaluation indicator corresponding to the power grid efficiency layer, wherein the first evaluation indicator includes: power grid static The second evaluation index includes: power grid reliability index, power grid maximum transmission capacity index, and power quality index; the second evaluation module is used to determine the third evaluation result corresponding to the power grid cost layer according to the index value of the third evaluation index corresponding to the power grid cost layer, and to determine the fourth evaluation result corresponding to the power grid carbon reduction layer according to the index value of the fourth evaluation index corresponding to the power grid carbon reduction layer, wherein the third evaluation index includes: power grid cost, electricity cost, and power abandonment cost, and the fourth evaluation index includes: green electricity rate, carbon emission intensity, and carbon emission; the weight adjustment module brings the power grid data of the elastic interaction area into the first evaluation module and the second evaluation module for calculation, and adjusts each weight coefficient, so that the elastic interaction safety score of the distribution network is consistent with the benefit ranking of each elastic interaction area under the premise of ensuring the safety of the power grid in the elastic interaction area; the score determination module is used to determine the elastic interaction safety score of the distribution network according to the first evaluation result, the second evaluation result, the third evaluation result, the fourth evaluation result, and the corresponding weight coefficient.

[0007] According to another aspect of an embodiment of the present application, a non-volatile storage medium is also provided, the non-volatile storage medium including a stored computer program, wherein the device where the non-volatile storage medium is located executes the method for determining the distribution network elastic interactive safety score by running the computer program.

[0008] According to another aspect of the embodiments of the present application, a computer program product is also provided, including a computer program, which implements the steps of the method for determining the elastic interactive safety score of a distribution network when the computer program is executed by a processor.

[0009] In an embodiment of the present application, an elastic interaction area is determined, wherein the elastic interaction area is a power grid defined by applying the elastic interaction definition of the power grid, and the elastic interaction definition of the power grid is a dynamic constraint "source-storage-load" interaction method adopted in areas where a large number of new energy power grids are connected to the grid to reduce the impact of new energy fluctuations on power grid efficiency, power grid cost, and power grid emission reduction; an evaluation index corresponding to the power grid in the elastic interaction area is determined, wherein the power grid in the elastic interaction area corresponds to multiple dimensional levels, and the dimensional levels include: power grid security layer, power grid efficiency layer, power grid cost layer and power grid carbon reduction layer, and each dimensional level corresponds to different evaluation indicators; according to the index value of the first evaluation index corresponding to the power grid security layer, a first evaluation result corresponding to the power grid security layer is determined, and according to the index value of the second evaluation index corresponding to the power grid efficiency layer, a second evaluation result corresponding to the power grid efficiency layer is determined, wherein the first evaluation index includes: power grid static security parameters and newly added power grid dynamic interaction capability parameters, and the second evaluation index includes: power grid reliability index, power grid maximum transmission capacity index, and power quality index; according to the index value of the third evaluation index corresponding to the power grid cost layer, the power grid cost layer corresponding to The third evaluation result, and the index value of the fourth evaluation index corresponding to the carbon reduction layer of the power grid, determine the fourth evaluation result corresponding to the carbon reduction layer of the power grid, wherein the third evaluation index includes: power grid cost, new electricity cost, and power abandonment cost, and the fourth evaluation index includes: green electricity rate, carbon emission intensity, and carbon emissions; according to the first evaluation result, the second evaluation result, the third evaluation result, the fourth evaluation result, and the corresponding weight coefficient, determine the elastic interaction safety score of the distribution network, wherein the weight coefficient is used to ensure the security of the power grid in the elastic interaction area, so that the elastic interaction safety score of the distribution network is consistent with the benefit ranking of each elastic interaction area. In the process of determining the benefit ranking of the elastic interaction area, the carbon penalty method is considered. By comprehensively considering the four levels of power grid security, efficiency, cost and carbon reduction, the purpose of more comprehensive power grid evaluation is achieved, thereby solving the problem of excessive robustness of interaction of new energy high penetration system. The safety assessment method in the relevant technology mainly constructs a safety index system for a single level, and does not consider the situation that the power grid indicators frequently exceed the limit due to new energy fluctuations. There is a lack of comprehensive quantitative evaluation method technical problems that are more in line with the actual situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0011] Figure 1 It is a hardware structure block diagram of a computer terminal (or electronic device) for implementing a method for determining a distribution network elastic interactive safety score according to an embodiment of the present application;

[0012] Figure 2 It is a schematic diagram of a method flow for determining a distribution network elastic interactive safety score according to an embodiment of the present application;

[0013] Figure 3 It is a schematic diagram of a novel method flow for quantitatively evaluating the elasticity and security of a distribution network provided according to an embodiment of the present application;

[0014] Figure 4 It is a schematic diagram of a distribution network elasticity safety quantitative evaluation system framework provided according to an embodiment of the present application;

[0015] Figure 5 It is a structural diagram of a distribution network elastic interactive safety score determination device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0016] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0017] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0018] At present, the main application of power grid is flexible interaction. The grid constraints of this interactive mode are fixed and unchanged. If a certain value is exceeded, the load will be directly shed. Due to the access of new energy, its uncertainty can easily lead to frequent over-limit situations in the power system. At this time, the power grid company can allow the power grid to be in an over-limit state for a certain period of time according to the photovoltaic curve to seek greater economic benefits and carbon emission reduction results. The embodiment of this application provides a solution for calculating the score of the park suitable for flexible interaction, which is described in detail below.

[0019] According to an embodiment of the present application, an embodiment of a method for determining a distribution network resilience interactive safety score is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0020] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 The hardware structure block diagram of a computer terminal (or electronic device) for implementing a method for determining a distribution network elastic interactive safety score is shown. Figure 1 As shown, the computer terminal 10 (or electronic device) may include one or more (102a, 102b, ..., 102n are used to illustrate) processors 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0021] It should be noted that the one or more processors 102 and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 10 (or electronic device). As involved in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0022] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the distribution network elastic interactive safety score determination method in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, the above-mentioned distribution network elastic interactive safety score determination method is realized. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0023] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0024] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 10 (or electronic device).

[0025] In the above operating environment, the embodiment of the present application provides a method for determining a distribution network elastic interactive safety score. Figure 2 is a schematic diagram of a method flow for determining a distribution network elastic interactive safety score according to an embodiment of the present application, such as Figure 2 As shown, the method comprises the following steps:

[0026] Step S202, determining an elastic interaction area, wherein the elastic interaction area is a power grid to which the elastic interaction definition of the power grid is applied, and the elastic interaction of the power grid is defined as a dynamic constraint "source-storage-load" interaction mode adopted in areas where a large number of new energy power grids are connected to the grid to reduce the impact of new energy fluctuations on power grid efficiency, power grid costs, and power grid emission reduction;

[0027] Step S204, determining the evaluation index corresponding to the power grid in the elastic interaction area, wherein the power grid in the elastic interaction area corresponds to multiple dimensional levels, including: a power grid security layer, a power grid efficiency layer, a power grid cost layer, and a power grid carbon reduction layer, and each dimensional level corresponds to a different evaluation index;

[0028] Step S206, determining a first evaluation result corresponding to the power grid security layer according to the index value of the first evaluation index corresponding to the power grid security layer, and determining a second evaluation result corresponding to the power grid efficiency layer according to the index value of the second evaluation index corresponding to the power grid efficiency layer, wherein the first evaluation index includes: a power grid static security parameter and a newly added power grid dynamic interaction capability parameter, and the second evaluation index includes: a power grid reliability index, a power grid maximum transmission capability index, and a power quality index;

[0029] Step S208, determining the third evaluation result corresponding to the grid cost layer according to the index value of the third evaluation index corresponding to the grid cost layer, and determining the fourth evaluation result corresponding to the grid carbon reduction layer according to the index value of the fourth evaluation index corresponding to the grid carbon reduction layer, wherein the third evaluation index includes: grid cost, new electricity cost, and abandoned electricity cost, and the fourth evaluation index includes: green electricity rate, carbon emission intensity, and carbon emissions;

[0030] Step S210, determines the distribution network elastic interaction safety score based on the first evaluation result, the second evaluation result, the third evaluation result, the fourth evaluation result, and the corresponding weight coefficient, wherein the weight coefficient is used to ensure that the distribution network elastic interaction safety score is consistent with the benefit ranking of each elastic interaction area under the premise of ensuring the security of the elastic interaction area power grid, and carbon penalties are taken into account in the process of determining the benefit ranking of the elastic interaction area.

[0031] Through the above steps, by comprehensively considering the four aspects of grid safety, efficiency, cost and carbon reduction, the purpose of more comprehensive grid assessment is achieved, thereby solving the problem of excessive robustness of interaction in high-penetration systems of new energy. The safety assessment methods in related technologies mainly construct a safety indicator system for a single level, without considering the frequent exceeding of grid indicators due to fluctuations in new energy, and lack of technical problems such as a comprehensive quantitative assessment method that is more in line with actual conditions.

[0032] The following is a further introduction to the method for determining the distribution network elastic interaction safety score in steps S202 to S210 of the embodiment of the present application.

[0033] The distribution network security assessment methods in the prior art mainly construct a security index system at a single level, while the present application scheme reconstructs the traditional power grid resilience security assessment system in view of the high penetration rate of new energy in the new distribution network, and proposes a multi-dimensional evaluation system, including a power grid safety layer, a power grid efficiency layer, a power grid cost layer, and a power grid carbon reduction layer. It can be seen that the present application scheme not only considers the safety and efficiency of the power grid in the scoring process, but also incorporates the two dimensions of cost and carbon reduction. This comprehensive consideration method can better balance the economic benefits and environmental impacts of power grid operation. The present application scheme can more comprehensively evaluate the safety status of the distribution network through a multi-dimensional evaluation system, thereby improving the accuracy and applicability of the evaluation.

[0034] Figure 3 is a schematic diagram of a novel method flow for quantitatively evaluating the elasticity and security of a distribution network provided in an embodiment of the present application, such as Figure 3 shown.

[0035] In view of the high penetration rate of new energy in the new distribution network, the embodiment of the present application reconstructs the traditional power grid elasticity and security assessment system and constructs a elasticity and security quantitative assessment system framework including: power grid security layer, power grid efficiency layer, power grid cost layer and power grid carbon reduction layer. Figure 4 shown.

[0036] At the same time, taking into account the impact of traditional power system resilience measurement methods and high-penetration new energy access on the elastic fluctuations of the distribution and power system, a new distribution network resilience security quantitative assessment method that considers grid security, grid efficiency, grid cost and grid emissions is proposed, which is detailed below.

[0037] First, in an embodiment of the present application, evaluation indicators corresponding to the distribution network system at each dimensional level are determined, wherein the evaluation indicators corresponding to each dimensional level are different, as shown in the following table.

[0038]

[0039] For the grid security layer, the static security parameters and dynamic interaction capabilities of the grid are evaluated to ensure the stability and security of the grid under various circumstances; for the grid efficiency layer, the reliability, maximum transmission capacity and power quality of the grid are evaluated to ensure the efficient operation of the grid; for the grid cost layer, the construction and operation costs of the grid, including grid cost, electricity cost and power abandonment cost, are evaluated to optimize the economy; for the grid carbon reduction layer, the green energy utilization rate, carbon emission intensity and total carbon emissions of the grid are evaluated to promote environmental friendliness and sustainable development.

[0040] The following is a detailed introduction to the evaluation methods for the grid security layer, grid efficiency layer, grid cost layer, and grid carbon reduction layer.

[0041] In an embodiment of the present application, based on a flexible safety quantitative assessment system, the power grid security layer can be evaluated according to first evaluation indicators such as power grid static security parameters and power grid dynamic interaction capability parameters to obtain a first evaluation result. The specific steps are as follows.

[0042] In some embodiments of the present application, the static safety parameters of the power grid include: a voltage crossing line index and a current crossing line index, and the dynamic interactive capability parameters of the power grid include: a source-load response capability index, a source-load regulation flexibility and activity index, and a system self-healing capability index; according to the index value of the first evaluation index corresponding to the power grid safety layer, determining the first evaluation result corresponding to the power grid safety layer includes the following steps: obtaining the voltage value corresponding to the voltage crossing line index and the current value corresponding to the current crossing line index in the distribution network system, wherein the voltage crossing line index is used to measure whether the voltage level in the power grid exceeds the prescribed safety range, and the current crossing line index is used to measure whether the current in the power grid exceeds the safety threshold; according to the power grid rapid response capability parameter, the power grid peak regulation capability parameter and the power grid frequency regulation capability parameter, determining the index value corresponding to the source-load response capability index, wherein the source -The load response capability index is used to characterize the response capability of the power grid in the face of demand changes; the index value of the source-load regulation flexibility and activity index is determined based on the amount of adjustable energy storage resources, grid-connectable new energy resources, and feed-in vehicle storage resources of the distribution network at the target time, wherein the source-load regulation flexibility and activity index is used to characterize the power grid's regulation capability for resources on the source side and the load side; the index value of the system self-healing capability index is determined based on the fault detection, isolation and recovery time parameters, recovery priority ranking parameters, and the power grid self-healing rate, wherein the system self-healing capability index is used to characterize the self-healing capability of the power grid after a fault occurs; the first evaluation result corresponding to the power grid safety layer is determined based on the voltage value, current value, index value of the source-load response capability index, index value of the source-load regulation flexibility and activity index, and index value of the system self-healing capability index.

[0043] Specifically, the first evaluation result may be calculated based on the first evaluation calculation formula according to the static security parameters of the power grid and the dynamic interaction capability of the power grid, wherein the first evaluation calculation formula is as follows:

[0044]

[0045] Among them, SI is the first evaluation result corresponding to the power grid security layer, SI1, SI2, SI3, SI4 and SI5 are the index values ​​corresponding to the voltage over-line index, current over-line index, source-load response capability index, source-load regulation flexibility and activity index, and system self-healing capability index, respectively. , , , , They are the weight coefficients of voltage over-line index, current over-line index, source-load response capability index, source-load regulation flexibility index and system self-healing capability index.

[0046] For the power grid security layer, the existing technology pays more attention to static safety parameters, but lacks the evaluation of the dynamic interactive capability of the power grid in actual operation, which may lead to an incomplete evaluation of the actual safety status of the power grid. In this application scheme, two types of evaluation indicators are introduced, namely, the static safety parameters of the power grid and the dynamic interactive capability parameters of the power grid (such as source-load response capability index, source-load regulation flexibility index, and system self-healing capability index). Not only the safety parameters of the power grid under static conditions are considered, but also the dynamic response capability of the power grid in the face of changes in demand is considered. This helps to more accurately evaluate the safety issues that may be encountered in the actual operation of the power grid.

[0047] The following introduces the methods for determining the index values ​​corresponding to the voltage over-line index, current over-line index, source-load response capability index, source-load regulation flexibility index, and system self-healing capability index.

[0048] Among them, the voltage over-line index (SI1) and the current over-line index (SI2) can be directly measured, that is, the voltage value corresponding to the voltage over-line index and the current value corresponding to the current over-line index in the distribution network system can be directly obtained.

[0049] The index value corresponding to the source-load response capability index can be determined according to the grid rapid response capability parameter, the grid peak regulation capability parameter, and the grid frequency regulation capability parameter. The specific steps are as follows.

[0050] In some embodiments of the present application, determining the index value corresponding to the source-load response capability index based on the grid rapid response capability parameter, the grid peak-shaving capability parameter and the grid frequency regulation capability parameter includes the following steps: determining the grid rapid response capability parameter based on the actual fault response time, the maximum response time and the preset response time, wherein the preset response time is less than the maximum response time; determining the grid peak-shaving capability parameter based on the grid peak-shaving margin corresponding to the target moment, the minimum peak-shaving margin required by the grid and the preset grid peak-shaving margin, wherein the preset grid peak-shaving margin is greater than the minimum peak-shaving margin; determining the grid frequency regulation capability parameter based on the grid frequency regulation margin corresponding to the target moment, the minimum frequency regulation margin required by the grid and the preset grid frequency regulation margin, wherein the preset grid frequency regulation margin is greater than the minimum frequency regulation margin; determining the index value corresponding to the source-load response capability index based on the grid rapid response capability parameter, the grid peak-shaving capability parameter, the grid frequency regulation capability parameter and the corresponding weight coefficient.

[0051] Specifically, according to the grid rapid response capability parameter, the grid peak regulation capability parameter and the grid frequency regulation capability parameter, the formula for determining the index value corresponding to the source-load response capability index is as follows:

[0052]

[0053] Among them, SI3 is the index value corresponding to the source-load response capability index, SI31, SI32, and SI33 are the grid rapid response capability parameter, grid peak load regulation capability parameter, and grid frequency regulation capability parameter, respectively. , , They are the weight coefficients corresponding to the grid rapid response capability parameter, grid peak regulation capability parameter, and grid frequency regulation capability parameter respectively.

[0054] The above-mentioned grid rapid response capability parameters are key indicators for evaluating whether the grid operation is safe. Due to different voltage levels and different electrical equipment response speed requirements, it is necessary to standardize the grid rapid response. The calculation formula is as follows:

[0055]

[0056] in, is the actual fault response time, is the maximum response time, is the optimal response time (i.e. the above-mentioned preset response time).

[0057] The above-mentioned grid peak load regulation capability parameters and grid frequency regulation capability parameters need to be standardized like the rapid response capability. In addition, the two capabilities have a strong time correlation and need to be calculated from the perspective of each time slice. The calculation formulas for peak load regulation capability and frequency regulation capability are as follows:

[0058]

[0059]

[0060] in, is the peak load margin of the power grid at time t (target time), is the minimum peak load margin required by the power grid at time t, is the optimal peak-shaving margin of the power grid at time t (i.e. the above-mentioned preset peak-shaving margin of the power grid), is the grid frequency regulation margin at time t, is the minimum frequency regulation margin required by the power grid at time t, is the optimal frequency regulation margin of the power grid at time t (i.e. the above-mentioned preset power grid frequency regulation margin).

[0061] The source-load response capability index not only considers the rapid response capability of the power grid, but also includes the peak-shaving and frequency-regulating capabilities. The rapid response capability is used to assess the risk of excessive or insufficient load on the distribution network when demand fluctuates, and the peak-shaving and frequency-regulating capabilities are used to assess the ability of the distribution network to maintain power quality and power supply reliability. This application scheme determines the index value through real-time parameters such as actual fault response time, peak-shaving margin, and frequency-regulating margin, which can make it closer to the actual operation of the power grid, so that the distribution network score can better reflect the adaptability of the power grid to demand changes.

[0062] The index value of the source-load regulation flexibility index can be determined based on the amount of controllable energy storage resources, grid-connectable new energy resources, and feed-in vehicle storage resources of the distribution network at the target time, as follows.

[0063] With the grid connection of flexible resources such as energy storage, distributed new energy, and electric vehicles, the flexible dispatching methods of the power grid are showing a trend of diversification. Real-time estimation of flexible resources and transmission through the power information network can better assist power grid companies in making correct dispatching instructions. The adjustable energy storage resources SI41, grid-connectable new energy resources SI42, and feed-in vehicle storage resources SI43 at time t can be obtained in real time from each observation point. The calculation formula of the index value SI4 of the source-load regulation flexible activity index is as follows:

[0064]

[0065] in, The indicator is the total amount of grid-connected power feed required at time t.

[0066] The source-load regulation flexibility and activity index comprehensively considers a variety of adjustable resources such as energy storage resources, new energy resources and vehicle storage resources. This comprehensive consideration method is relatively rare in the prior art. This is an innovative evaluation indicator proposed by this application scheme to adapt to the current trend of more diversified flexible scheduling methods of power grids with the grid connection of flexible new energy resources such as energy storage, distributed new energy, and electric vehicles. Through the introduction of this indicator, the amount of adjustable energy storage and new energy resources in the power grid can be observed and evaluated in real time, so that the distribution network score can better reflect the new power grid under the penetration of new energy and its ability to regulate and absorb new energy resources on the source side and the load side.

[0067] The index value of the system self-healing capability index can be determined according to the fault detection, isolation and recovery time parameters, the recovery priority sorting parameters, and the power grid self-healing rate. The specific steps are as follows.

[0068] In some embodiments of the present application, determining the index value of the system self-healing capability index according to the fault detection, isolation and recovery time parameters, the recovery priority sorting parameters and the power grid self-healing rate includes the following steps: determining the fault detection, isolation and recovery time parameters according to the fault inspection time, the fault isolation time, the fault recovery time, the maximum fault inspection time, the maximum fault isolation time, the maximum fault recovery time, the preset fault inspection time, the preset fault isolation time and the preset fault recovery time, wherein the preset fault inspection time is less than the maximum fault inspection time, the preset fault isolation time is less than the maximum fault isolation time, and the preset fault recovery time is less than the maximum fault recovery time. The time required for recovery from a major fault; determine the importance of the network node based on the load power of each user under each user type corresponding to the network node, determine the theoretical self-healing order of the network nodes in descending order of importance, and determine the recovery priority sorting parameters based on the theoretical self-healing order and the actual self-healing order of the network nodes in the power grid; determine the power grid self-healing rate as the ratio of the total number of users who recover from faults self-recovered within a unit time to the total number of users affected by the fault; determine the index value of the system self-healing capability index based on the fault detection, isolation and recovery time parameters, recovery priority sorting parameters, power grid self-healing rate, and the corresponding weight coefficient.

[0069] Specifically, the calculation formula for the index value corresponding to the system self-healing capability index is as follows:

[0070]

[0071] Among them, SI5 is the index value corresponding to the system self-healing capability index, SI51, SI52, and SI53 are fault detection, isolation and recovery time parameters, recovery priority sorting parameters, and power grid self-healing rate, respectively. , , They are the weight coefficients of fault detection, isolation and restoration time, restoration priority sorting, and grid self-healing rate.

[0072] The above fault detection, isolation and recovery time parameters can be used to reflect the recovery speed of the power system after a fault. The calculation formula is as follows:

[0073]

[0074] in, , , They are fault inspection time, fault isolation time, and fault recovery time. , , The maximum fault detection time, maximum fault isolation time, and maximum fault recovery time are , , It is the optimal fault detection time (i.e. the above-mentioned preset fault detection time), the optimal fault isolation time (i.e. the above-mentioned preset fault isolation time) and the optimal fault recovery time (i.e. the above-mentioned preset fault recovery time).

[0075] The above-mentioned grid self-healing sequence parameters need to comprehensively consider the user importance, number of users and average user load of each network node. First, the importance of the network node needs to be calculated, and then the grid self-healing sequence is set according to the node importance, as shown in the following formula:

[0076]

[0077] Among them, IM is the user type indicator used to judge the importance of the node, that is, the above-mentioned importance level, , , The weight parameters corresponding to the three types of users, namely, the first-class users, the second-class users and the third-class users of the current network node, n1, n2 and n3 are the number of users of the first-class users, the second-class users and the third-class users of the current network node respectively. , , are the load powers of the j-th class 1 user, class 2 user and class 3 user of the k-th network node respectively.

[0078] Afterwards, the self-healing order of each network node in the power grid can be sorted based on the importance (level) of the node, and then the difference between the actual self-healing order and the theoretical self-healing order can be calculated to determine the recovery priority sorting parameters, as shown in the following formula:

[0079]

[0080] Among them, k is the node number, K is the total number of nodes, seq is the actual self-healing sequence, This is the theoretical self-healing sequence.

[0081] The above-mentioned grid self-healing rate refers to the ability of a region to recover to normal after being affected by grid fluctuations. It is defined as the percentage of the total number of users who recover from faults within a unit time (such as one year) to the total number of users affected by the faults. The grid self-healing rate calculation formula is as follows:

[0082]

[0083] in, is the number of self-healing users of the kth node, is the number of users affected by the power grid failure at the kth node.

[0084] In addition to considering fault detection, isolation and recovery time, the system self-healing capability index also includes recovery priority ranking and self-healing rate, covering the entire process from fault occurrence to complete recovery, providing a more comprehensive assessment of the self-healing capability of the power grid. In particular, by determining the importance level and theoretical self-healing order of network nodes, the priority of power grid recovery is taken into account. This evaluation method based on the power grid structure and user importance is an innovative evaluation method in the prior art, which can evaluate the power supply reliability of the distribution network for key facilities when a power outage occurs, as well as the effectiveness and scientificity of self-healing decisions. This application introduces the self-healing capability index so that the distribution network score can more accurately reflect the response capability and recovery efficiency of the power grid in the face of faults, and the distribution network score emphasizes the importance of rapid power restoration, which helps to improve the service quality and user satisfaction of the power grid.

[0085] In an embodiment of the present application, based on a flexible safety quantitative assessment system, the grid efficiency layer is evaluated according to grid reliability indicators, grid maximum transmission capacity indicators, and power quality indicators to obtain a second evaluation result. The specific steps are as follows.

[0086] In some embodiments of the present application, the power grid reliability index includes: an upstream power supply reliability rate and a downstream power supply reliability rate; determining the second evaluation result corresponding to the power grid efficiency layer based on the index value of the second evaluation index corresponding to the power grid efficiency layer includes the following steps: determining the probability of insufficient power grid absorption of the distribution network system within a preset assessment period, and determining the upstream power supply reliability rate based on the probability of insufficient power grid absorption and the assessment value corresponding to the preset assessment period; determining the probability of insufficient power grid in the distribution network system within the preset assessment period, and determining the downstream power supply reliability rate based on the probability of insufficient power grid and the assessment value corresponding to the preset assessment period; determining the second evaluation result corresponding to the power grid efficiency layer based on the upstream power supply reliability rate, the downstream power supply reliability rate, the maximum output power corresponding to the maximum power transmission capacity index of the power grid, and the voltage stability parameters and frequency stability parameters corresponding to the power quality indicators.

[0087] Specifically, according to the grid reliability index, the grid maximum transmission capacity index, and the power quality index, the formula for determining the second evaluation result is as follows:

[0088]

[0089] Among them, EI is the second evaluation result corresponding to the power grid efficiency layer, EI1, EI2 and EI3 are the power grid reliability index, the power grid maximum transmission index and the power quality index respectively. , and They are the weight coefficients corresponding to the grid reliability index, the grid maximum transmission index, and the power quality index respectively.

[0090] The above-mentioned power grid reliability index needs to consider the upstream reliability rate and the downstream reliability rate of power supply. The calculation formula is as follows:

[0091]

[0092] It can be seen that the new grid resilience and safety index divides the grid life cycle reliability index into two categories: EI11 and EI12. Among them, EI11 is a possible indicator for the upstream power supply of the grid, and EI12 is a reliability rate indicator for the downstream power supply of the grid. The calculation methods of the two indicators are introduced below.

[0093] First, the calculation formula of the grid power supply upstream reliability index is as follows:

[0094]

[0095] in, is the probability of insufficient power grid absorption corresponding to the tth year of the evaluation period (i.e., the preset assessment period, taking years as an example), which can be obtained through the power grid reliability assessment of the tth year of the evaluation period, is the total number of evaluation periods.

[0096] After calculating EI11, the index factor of EI11 can be further calculated. , as the representation of EI11 in the SEC assessment of the entire life cycle of the power grid, that is, the upstream reliability rate of power supply. The calculation model is shown as follows:

[0097]

[0098] in, is the adjustment factor of EI11, usually =10, is the assessment value of EI11; when EI11< (i.e. does not meet the assessment requirements), >1, and the smaller the EI11, >1, the larger the value, on the contrary, when EI11>= (i.e. meet the assessment requirements), <=1, and the larger the EI11, The smaller.

[0099] The calculation formula of the downlink reliability index of power grid power supply is as follows:

[0100]

[0101] in, The probability of power shortage in the power grid in the tth year of the assessment period can be obtained through the power grid reliability assessment in the tth year of the assessment period.

[0102] After calculating EI12, the index factor of EI12 can be further calculated. , as the representation of EI12 in the SEC assessment of the entire life cycle of the power grid, that is, the downstream reliability rate of power supply. The calculation model is shown as follows:

[0103]

[0104] in, is the adjustment factor of EI12, usually =10, is the assessment value of EI12; when EI12< (i.e. does not meet the assessment requirements), >1, and the smaller the EI12, >1, the larger the value, on the contrary, when EI12>= (i.e. meet the assessment requirements), <=1, and the larger the EI12, The smaller.

[0105] For the power grid efficiency layer, this application not only takes into account the static performance parameters of the power grid, but also takes into account the dynamic performance of the power grid in actual operation, such as real-time transmission capacity and power quality. The power grid efficiency is evaluated through power grid reliability indicators, power grid maximum transmission capacity indicators, power quality indicators, etc., which can comprehensively reflect the operating efficiency of the power grid and make the evaluation closer to the actual operating status. Among them, the reliability indicator can be used to evaluate the potential risks in the power supply process of the power grid. The power grid maximum transmission capacity indicator is helpful to evaluate the transmission efficiency and transmission loss of the power grid, and the power quality indicator is helpful to evaluate the power quality.

[0106] In an embodiment of the present application, based on a flexible safety quantitative assessment system, the grid cost layer can be evaluated according to third indicators such as grid cost, electricity cost and power abandonment cost to obtain a third evaluation result. For the grid cost layer, the prior art usually only focuses on the direct cost of the grid, such as construction and operation and maintenance costs, while ignoring indirect costs such as electricity cost and power abandonment cost. The present application scheme comprehensively considers economic factors such as grid cost, electricity cost and power abandonment cost, which helps to quantify the economic efficiency of grid operation. The specific steps are as follows.

[0107] In some embodiments of the present application, determining the third evaluation result corresponding to the grid cost layer according to the indicator value of the third evaluation indicator corresponding to the grid cost layer includes the following steps: determining the grid cost according to the operation and maintenance cost, investment cost, maintenance cost and failure cost corresponding to the distribution network system; determining the electricity cost according to the electricity price cost response degree parameter, the price stability parameter and the electricity price adaptability parameter, wherein the electricity price cost response degree parameter is used to characterize the degree of deviation between the power generation price and the real-time electricity price, the price stability parameter is used to characterize the degree of fluctuation of the real-time electricity price within a preset time range, and the electricity price adaptability parameter is used to characterize the coordinated change of the real-time electricity price and the electricity load, which is determined according to the real-time electricity price and the real-time load of the user; determining the abandoned power cost according to the abandoned photovoltaic power and abandoned wind power of the distribution network system, wherein the abandoned photovoltaic power is the amount of electricity generated by the solar photovoltaic power generation system that is lost because it cannot be absorbed or used by the grid, and the abandoned wind power is the amount of electricity generated by the wind power generation system that is lost because it cannot be absorbed or used by the grid; determining the third evaluation result corresponding to the grid cost layer according to the grid cost, the electricity cost and the abandoned power cost.

[0108] Specifically, based on the grid cost, electricity cost and power abandonment cost, the calculation formula for determining the third evaluation result is as follows:

[0109]

[0110] Among them, CI is the grid cost layer indicator, CI1, CI2 and CI3 are grid cost, electricity cost and power abandonment cost respectively. , , are the weight coefficients corresponding to the grid cost, electricity cost and power abandonment cost respectively.

[0111] The calculation formula for the above grid cost is as follows:

[0112]

[0113] Among them, OC, IC, FC, and MC are the operation and maintenance cost, investment cost, maintenance cost, and failure cost of the power grid, respectively.

[0114] The above electricity cost can be calculated based on the electricity price cost response degree parameter, price stability parameter, and electricity price adaptability parameter. The calculation formula is as follows:

[0115]

[0116] Among them, CI2 is the electricity cost, CI21, CI22 and CI23 are the cost reflection degree parameter, price stability parameter and electricity price adaptability parameter respectively. , and They are the weight coefficients corresponding to the cost reflection parameter, price stability parameter and electricity price adaptability parameter respectively.

[0117] The electricity price cost reflection degree parameter is used to reflect the degree of deviation of the real-time electricity price from the actual electricity price. In order to ensure that the electricity price basically fluctuates around the electricity price cost, the electricity price cost reflection degree parameter is stipulated. The calculation formula of the electricity price cost reflection degree parameter is as follows:

[0118]

[0119] Where p is the conversion coefficient of power generation / distribution price, is the current electricity price, is the current real-time electricity price.

[0120] The price stability parameter is used to reflect the stability of real-time electricity prices. If the amplitude and frequency of electricity price changes are too large, it is easy to cause the scheduling calculation complexity to be too large, and the electrical equipment responds frequently and the life of the equipment decreases rapidly. The calculation formula of the electricity price stability parameter is as follows:

[0121]

[0122] in, The real-time average electricity price.

[0123] The electricity price adaptability parameter is used to reflect the coordinated changes in the real-time electricity price and the electricity load. When the electricity load increases, the real-time electricity price should increase in tandem; when the electricity load decreases, the real-time electricity price should decrease in tandem. Only when the real-time electricity price and the electricity load show a good positive correlation can users be well motivated to spontaneously adjust their electricity consumption behavior. The calculation formula of the electricity price adaptability parameter is as follows:

[0124]

[0125] in, and is the weight coefficient of coordinated speed and coordinated acceleration, which can be determined according to actual needs. and is the optimal value of the coordinated speed and coordinated acceleration, Real-time load for users.

[0126] This application innovatively proposes an evaluation method that comprehensively evaluates electricity costs through three dimensions: electricity price cost response degree parameter, price stability parameter, and electricity price adaptability parameter. The introduction of price stability parameters takes into account the degree of fluctuation of electricity prices within a preset time range. This consideration of electricity price stability helps to evaluate the maturity of the electricity market and the predictability of users' electricity costs. The introduction of electricity price adaptability parameters takes into account the coordinated changes in real-time electricity prices and electricity loads. This dynamic evaluation method can more accurately reflect the actual operating status of the electricity market. In addition, through the evaluation of electricity price adaptability parameters, it can promote the effective consumption of new energy and increase the proportion of new energy in electricity supply.

[0127] The above-mentioned power abandonment cost is mainly used to evaluate the economic losses caused by wind and solar power abandonment. The calculation formula is as follows:

[0128]

[0129] in, and They are the abandoned photovoltaic power and abandoned wind power, is the current photovoltaic power generation price, Current wind power prices.

[0130] This application innovatively proposes a method to determine the cost of abandoned power by quantifying the amount of abandoned photovoltaic power and abandoned wind power. This method can directly convert the waste of renewable energy into an assessment of economic losses. The assessment of the cost of abandoned power actually not only takes into account economic losses, but also implies consideration of environmental impacts, because abandoned power often means waste of renewable energy and increased carbon emissions. This is also an innovative improvement of the application scheme in the evaluation process for new distribution networks with high penetration rates of new energy. By evaluating the cost of abandoned power, the waste of renewable energy such as solar and wind power can be reduced, energy utilization efficiency can be improved, the power grid can better adapt to the volatility of renewable energy, and the adaptability of the power grid to new energy can be improved. It helps to support and formulate green energy policies and promote the sustainable development of renewable energy.

[0131] In an embodiment of the present application, based on the flexible safety quantitative assessment system, the carbon reduction layer of the power grid can be evaluated according to fourth evaluation indicators such as green power rate index, carbon emission intensity and carbon emissions to obtain a fourth evaluation result. The specific steps are as follows.

[0132] In some embodiments of the present application, determining the fourth evaluation result corresponding to the power grid carbon reduction layer according to the index value of the fourth evaluation index corresponding to the power grid carbon reduction layer includes the following steps: determining the ratio of green energy power generation to total power generation in the distribution network system, and determining the ratio as the green electricity rate; obtaining the carbon emissions corresponding to the distribution network system, and determining the carbon emission intensity based on the carbon emissions and energy consumption; determining the fourth evaluation result corresponding to the power grid carbon reduction layer based on the green electricity rate, carbon emission intensity and carbon emissions.

[0133] Specifically, based on the green electricity rate, carbon emission intensity and carbon emissions, the calculation formula for determining the fourth evaluation result is as follows:

[0134]

[0135] Among them, LCI is the fourth evaluation result corresponding to the low-carbon layer of the power grid, LCI1, LCI2 and LCI3 are green electricity rate, carbon emission intensity and carbon emission respectively. , and They are the weight coefficients corresponding to the green electricity rate index, carbon emission intensity index, and carbon emissions.

[0136] The above green electricity rate can reflect whether the factory actively responds to the grid's new energy consumption dispatch. The calculation formula for the green electricity rate is as follows:

[0137]

[0138] in, is the total power generation at time t, is the proportion of green energy generation to total power generation at time t.

[0139] The above carbon emission intensity can reflect the energy utilization level of the factory and the development level of the factory's emission reduction technology. The carbon emission intensity calculation formula is as follows:

[0140]

[0141] Among them, CM is carbon emission, TIM is time, and ENE is unit energy.

[0142] According to the international standard ISO14064, the above carbon emissions (CM) can be directly monitored. Specifically, the carbon emission rights balance (REM) and green certificate trading volume (TRA) correspond to the storage balance (SOC) in the current power market. The above two indicators can be obtained using real-time measurement methods. The calculation formula for carbon emissions is as follows:

[0143]

[0144] As for the carbon reduction layer of the power grid, the existing technology often lacks evaluation of this dimension, but focuses more on the economic benefits and technical performance of the power grid. This application scheme introduces carbon reduction-related environmental indicators such as green electricity rate, carbon emission intensity, and carbon emissions, providing a comprehensive evaluation framework for the carbon reduction effect of the power grid. By quantitatively analyzing carbon emissions and carbon emission intensity, it is possible to more accurately evaluate the carbon emissions of the power grid and provide data support for carbon reduction measures. The introduction of the green electricity rate encourages the use of green energy and promotes the development of the power grid in a more environmentally friendly and sustainable direction.

[0145] Finally, the first evaluation result, the second evaluation result, the third evaluation result and the fourth evaluation result can be weighted and summed up, and the calculation results can be sorted. According to the calculation results, the resilience and safety score of the regional power grid can be given, and a solution can be provided for enhancing the resilience of the power grid.

[0146] This application scheme provides a comprehensive quantitative evaluation framework by comprehensively considering the four key aspects of power grid security, efficiency, cost and carbon reduction. At the same time, in view of the high penetration rate of new energy in the new distribution network, innovative improvements have been made to the determination and selection methods of various evaluation indicators at various dimensional levels. It can accurately reflect the operating status of the new distribution network under the background of high penetration rate of new energy, identify potential safety risks and efficiency bottlenecks, optimize the allocation of power resources, reduce operating costs, and promote the development of the power grid in a greener and low-carbon direction. In this way, power grid operators can obtain scientific data support and formulate effective strategies to enhance the resilience and adaptability of the power grid, ensure the long-term stability and sustainable development of the power grid, and also provide a powerful tool for the intelligent management and optimization of the power grid.

[0147] According to an embodiment of the present application, an embodiment of a device for determining a distribution network elastic interactive safety score is also provided. Figure 5 Schematic diagram of a structure of a distribution network elastic interactive safety score determination device provided according to an embodiment of the present application. Figure 5 As shown, the device comprises:

[0148] The region determination module 50 is used to determine the elastic interaction region, wherein the elastic interaction region is a power grid to which the elastic interaction definition of the power grid is applied. The elastic interaction of the power grid is defined as a dynamic constraint "source-storage-load" interaction mode adopted in a region where a large number of new energy power grids are connected to the grid to reduce the impact of new energy fluctuations on power grid efficiency, power grid costs, and power grid emission reduction;

[0149] An indicator determination module 51 is used to determine the evaluation indicators corresponding to the power grid in the elastic interaction area, wherein the power grid in the elastic interaction area corresponds to multiple dimensional levels, including: a power grid security layer, a power grid efficiency layer, a power grid cost layer, and a power grid carbon reduction layer, and each dimensional level corresponds to a different evaluation indicator;

[0150] The first evaluation module 52 is used to determine the first evaluation result corresponding to the power grid security layer according to the index value of the first evaluation index corresponding to the power grid security layer, and to determine the second evaluation result corresponding to the power grid efficiency layer according to the index value of the second evaluation index corresponding to the power grid efficiency layer, wherein the first evaluation index includes: a power grid static security parameter and a power grid dynamic interactive capability parameter, and the second evaluation index includes: a power grid reliability index, a power grid maximum transmission capability index, and a power quality index;

[0151] The second evaluation module 53 is used to determine the third evaluation result corresponding to the grid cost layer according to the indicator value of the third evaluation indicator corresponding to the grid cost layer, and to determine the fourth evaluation result corresponding to the grid carbon reduction layer according to the indicator value of the fourth evaluation indicator corresponding to the grid carbon reduction layer, wherein the third evaluation indicator includes: grid cost, electricity cost, and power abandonment cost, and the fourth evaluation indicator includes: green electricity rate, carbon emission intensity, and carbon emission;

[0152] The weight adjustment module 54 brings the power grid data of the elastic interaction area into the first evaluation module and the second evaluation module for calculation, and adjusts each weight coefficient so that the elastic interaction safety score of the distribution network is consistent with the profit ranking of each elastic interaction area under the premise of ensuring the security of the power grid in the elastic interaction area;

[0153] The score determination module 55 is used to determine the distribution network elastic interaction safety score based on the first evaluation result, the second evaluation result, the third evaluation result, the fourth evaluation result, and the corresponding weight coefficients.

[0154] Optionally, the static safety parameters of the power grid include: voltage over-line index, current over-line index, and the dynamic interactive capability parameters of the power grid include: source-load response capability index, source-load regulation flexibility and activity index, and system self-healing capability index; according to the index value of the first evaluation index corresponding to the power grid safety layer, determining the first evaluation result corresponding to the power grid safety layer includes: obtaining the voltage value corresponding to the voltage over-line index in the distribution network system, and the current value corresponding to the current over-line index, wherein the voltage over-line index is used to measure whether the voltage level in the power grid exceeds the prescribed safety range, and the current over-line index is used to measure whether the current in the power grid exceeds the safety threshold; according to the power grid rapid response capability parameter, the power grid peak regulation capability parameter and the power grid frequency regulation capability parameter, determining the index value corresponding to the source-load response capability index, wherein the source-load response capability The indicator is used to characterize the responsiveness of the power grid in the face of changes in demand; the indicator value of the source-load regulation flexibility and activity indicator is determined based on the amount of adjustable energy storage resources, grid-connectable new energy resources, and feed-in vehicle storage resources of the distribution network at the target time, wherein the source-load regulation flexibility and activity indicator is used to characterize the power grid's ability to regulate resources on the source side and the load side; the indicator value of the system self-healing capability indicator is determined based on the fault detection, isolation and recovery time parameters, recovery priority ranking parameters and power grid self-healing rate, wherein the system self-healing capability indicator is used to characterize the self-healing capability of the power grid after a fault occurs; the first evaluation result corresponding to the power grid safety layer is determined based on the voltage value, current value, indicator value of the source-load responsiveness capability indicator, indicator value of the source-load regulation flexibility and activity indicator, and indicator value of the system self-healing capability indicator.

[0155] Optionally, determining the index value corresponding to the source-load response capacity index based on the grid rapid response capability parameter, the grid peak-shaving capability parameter and the grid frequency regulation capability parameter includes: determining the grid rapid response capability parameter based on the actual fault response time, the maximum response time and the preset response time, wherein the preset response time is less than the maximum response time; determining the grid peak-shaving capability parameter based on the grid peak-shaving margin corresponding to the target time, the minimum peak-shaving margin required by the grid and the preset grid peak-shaving margin, wherein the preset grid peak-shaving margin is greater than the minimum peak-shaving margin; determining the grid frequency regulation capability parameter based on the grid frequency regulation margin corresponding to the target time, the minimum frequency regulation margin required by the grid and the preset grid frequency regulation margin, wherein the preset grid frequency regulation margin is greater than the minimum frequency regulation margin; determining the index value corresponding to the source-load response capability index based on the grid rapid response capability parameter, the grid peak-shaving capability parameter, the grid frequency regulation capability parameter, and the corresponding weight coefficient.

[0156] Optionally, determining the index value of the system self-healing capability index based on the fault detection, isolation and recovery time parameters, the recovery priority ranking parameters and the power grid self-healing rate includes: determining the fault detection, isolation and recovery time parameters based on the fault inspection time, the fault isolation time, the fault recovery time, the maximum fault inspection time, the maximum fault isolation time, the maximum fault recovery time, the preset fault inspection time, the preset fault isolation time and the preset fault recovery time, wherein the preset fault inspection time is less than the maximum fault inspection time, the preset fault isolation time is less than the maximum fault isolation time, and the preset fault recovery time is less than the maximum fault recovery time. long; determine the importance level of the network node according to the load power of each user under each user type corresponding to the network node, determine the theoretical self-healing order of the network nodes in descending order of importance, and determine the recovery priority sorting parameters according to the theoretical self-healing order and the actual self-healing order of the network nodes in the power grid; determine the power grid self-healing rate as the ratio of the total number of users who recover from the fault self-healing within a unit time to the total number of users affected by the fault; determine the index value of the system self-healing capability index according to the fault detection, isolation and recovery time parameters, the recovery priority sorting parameters, the power grid self-healing rate, and the corresponding weight coefficient.

[0157] Optionally, the power grid reliability index includes: the upstream power supply reliability rate and the downstream power supply reliability rate; according to the index value of the second evaluation index corresponding to the power grid efficiency layer, determining the second evaluation result corresponding to the power grid efficiency layer includes: determining the probability of insufficient power consumption of the distribution network system within the preset assessment period, and determining the upstream power supply reliability rate based on the probability of insufficient power consumption and the assessment value corresponding to the preset assessment period; determining the probability of insufficient power supply of the distribution network system within the preset assessment period, and determining the downstream power supply reliability rate based on the probability of insufficient power supply and the assessment value corresponding to the preset assessment period; determining the second evaluation result corresponding to the power grid efficiency layer based on the upstream power supply reliability rate, the downstream power supply reliability rate, the maximum output power corresponding to the maximum power transmission capacity index of the power grid, and the voltage stability parameters and frequency stability parameters corresponding to the power quality indicators.

[0158] Optionally, according to the indicator value of the third evaluation indicator corresponding to the power grid cost layer, determining the third evaluation result corresponding to the power grid cost layer includes: determining the power grid cost according to the operation and maintenance cost, investment cost, maintenance cost and failure cost corresponding to the distribution network system; determining the electricity cost according to the electricity price cost response degree parameter, the price stability parameter and the electricity price adaptability parameter, wherein the electricity price cost response degree parameter is used to characterize the degree of deviation between the power generation price and the real-time electricity price, the price stability parameter is used to characterize the degree of fluctuation of the real-time electricity price within a preset time range, and the electricity price adaptability parameter is used to characterize the coordinated change of the real-time electricity price and the electricity load, which is determined according to the real-time electricity price and the real-time load of the user; determining the abandoned power cost according to the abandoned photovoltaic power and abandoned wind power of the distribution network system, wherein the abandoned photovoltaic power is the electric energy generated by the solar photovoltaic power generation system that is lost because it cannot be absorbed or used by the power grid, and the abandoned wind power is the electric energy generated by the wind power generation system that is lost because it cannot be absorbed or used by the power grid; determining the third evaluation result corresponding to the power grid cost layer according to the power grid cost, the electricity cost and the abandoned power cost.

[0159] Optionally, based on the index value of the fourth evaluation index corresponding to the power grid carbon reduction layer, determining the fourth evaluation result corresponding to the power grid carbon reduction layer includes: determining the ratio of green energy power generation to total power generation in the distribution network system, and determining the ratio as the green electricity rate; obtaining the carbon emissions corresponding to the distribution network system, and determining the carbon emission intensity based on the carbon emissions and energy consumption; determining the fourth evaluation result corresponding to the power grid carbon reduction layer based on the green electricity rate, carbon emission intensity and carbon emissions.

[0160] It should be noted that the various modules in the above-mentioned distribution network elastic interactive safety score determination device can be a program module (for example, a set of program instructions that implement a certain specific function) or a hardware module. For the latter, it can be expressed in the following forms, but is not limited to this: the expression form of each of the above-mentioned modules is a processor, or the functions of each of the above-mentioned modules are implemented by a processor.

[0161] It should be noted that the distribution network elastic interactive safety score determination device provided in this embodiment can be used to perform Figure 2 The distribution network elasticity interactive safety score determination method shown, therefore, the relevant explanations and instructions on the above-mentioned distribution network elasticity interactive safety score determination method are also applicable to the embodiments of the present application and will not be repeated here.

[0162] The embodiment of the present application also provides a non-volatile storage medium, the non-volatile storage medium includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the following distribution network elastic interaction safety score determination method by running the computer program: determining an elastic interaction area, wherein the elastic interaction area is a power grid to which the elastic interaction definition of the power grid is applied, and the elastic interaction of the power grid is defined as a dynamic constraint "source-storage-load" interaction mode adopted in areas where a large number of new energy power grids are connected to the grid to reduce the impact of new energy fluctuations on power grid efficiency, power grid cost, and power grid emission reduction; determining evaluation indicators corresponding to the power grid in the elastic interaction area, wherein the power grid in the elastic interaction area corresponds to multiple dimensional levels, and the dimensional levels include: power grid security layer, power grid efficiency layer, power grid cost layer, and power grid carbon reduction layer, and each dimensional level corresponds to different evaluation indicators; determining a first evaluation result corresponding to the power grid security layer based on the indicator value of the first evaluation indicator corresponding to the power grid security layer, and determining a power grid efficiency layer corresponding to the power grid efficiency layer based on the indicator value of the second evaluation indicator corresponding to the power grid efficiency layer. The second evaluation result of the invention is obtained, wherein the first evaluation index includes: static security parameters of the power grid and new dynamic interaction capability parameters of the power grid, and the second evaluation index includes: power grid reliability index, maximum power grid transmission capability index, and power quality index; the third evaluation result corresponding to the power grid cost layer is determined according to the index value of the third evaluation index corresponding to the power grid cost layer, and the fourth evaluation result corresponding to the power grid carbon reduction layer is determined according to the index value of the fourth evaluation index corresponding to the power grid carbon reduction layer, wherein the third evaluation index includes: power grid cost, new electricity cost, and power abandonment cost, and the fourth evaluation index includes: green electricity rate, carbon emission intensity, and carbon emission; the elastic interaction safety score of the distribution network is determined according to the first evaluation result, the second evaluation result, the third evaluation result, the fourth evaluation result, and the corresponding weight coefficient, wherein the weight coefficient is used to make the elastic interaction safety score of the distribution network consistent with the benefit ranking of each elastic interaction area on the premise of ensuring the security of the power grid in the elastic interaction area, and the carbon penalty is considered in the process of determining the benefit ranking of the elastic interaction area.

[0163] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the method for determining the distribution network elastic interaction safety score described in each embodiment of the present application: determining an elastic interaction area, wherein the elastic interaction area is a power grid to which the elastic interaction definition of the power grid is applied, and the power grid elastic interaction is defined as a dynamic constraint "source-storage-load" interaction method adopted in areas where a large number of new energy power grids are connected to the grid to reduce the impact of new energy fluctuations on power grid efficiency, power grid cost, and power grid emission reduction; determining evaluation indicators corresponding to the power grid in the elastic interaction area, wherein the power grid in the elastic interaction area corresponds to multiple dimensional levels, and the dimensional levels include: power grid security layer, power grid efficiency layer, power grid cost layer and power grid carbon reduction layer, and each dimensional level corresponds to a different evaluation indicator; determining a first evaluation result corresponding to the power grid security layer based on the indicator value of the first evaluation indicator corresponding to the power grid security layer, and determining a second evaluation result corresponding to the power grid efficiency layer based on the indicator value of the second evaluation indicator corresponding to the power grid efficiency layer The results are as follows: the first evaluation index includes: static security parameters of the power grid and new dynamic interaction capability parameters of the power grid; the second evaluation index includes: power grid reliability index, power grid maximum transmission capability index, and power quality index; according to the index value of the third evaluation index corresponding to the power grid cost layer, the third evaluation result corresponding to the power grid cost layer is determined; and according to the index value of the fourth evaluation index corresponding to the power grid carbon reduction layer, the fourth evaluation result corresponding to the power grid carbon reduction layer is determined, wherein the third evaluation index includes: power grid cost, new electricity cost, and power abandonment cost; the fourth evaluation index includes: green electricity rate, carbon emission intensity, and carbon emission; according to the first evaluation result, the second evaluation result, the third evaluation result, the fourth evaluation result, and the corresponding weight coefficient, the distribution network elastic interaction safety score is determined, wherein the weight coefficient is used to ensure the security of the power grid in the elastic interaction area, so that the distribution network elastic interaction safety score is consistent with the benefit ranking of each elastic interaction area, and the carbon penalty is considered in the process of determining the benefit ranking of the elastic interaction area.

[0164] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0165] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0166] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0167] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0168] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0169] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc., which can store program code.

[0170] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining a distribution network elastic interactive safety score, characterized in that: include: Determine a resilient interaction area, wherein the resilient interaction area is a power grid to which the resilient interaction definition of the power grid is applied, and the resilient interaction of the power grid is defined as a dynamic constraint "source-storage-load" interaction mode adopted in areas where a large number of new energy power grids are connected to the grid to reduce the impact of new energy fluctuations on power grid efficiency, power grid costs, and power grid emission reduction; Determine the evaluation index corresponding to the power grid in the elastic interaction area, wherein the power grid in the elastic interaction area corresponds to multiple dimensional levels, and the dimensional levels include: a power grid security layer, a power grid efficiency layer, a power grid cost layer, and a power grid carbon reduction layer, and the evaluation index corresponding to each dimensional level is different; Determine a first evaluation result corresponding to the power grid security layer according to the index value of the first evaluation index corresponding to the power grid security layer, and determine a second evaluation result corresponding to the power grid efficiency layer according to the index value of the second evaluation index corresponding to the power grid efficiency layer, wherein the first evaluation index includes: a power grid static security parameter and a newly added power grid dynamic interactive capability parameter, and the second evaluation index includes: a power grid reliability index, a power grid maximum transmission capacity index, and a power quality index; According to the index value of the third evaluation index corresponding to the grid cost layer, the third evaluation result corresponding to the grid cost layer is determined, and according to the index value of the fourth evaluation index corresponding to the grid carbon reduction layer, the fourth evaluation result corresponding to the grid carbon reduction layer is determined, wherein the third evaluation index includes: grid cost, new electricity cost, and abandoned electricity cost, and the fourth evaluation index includes: green electricity rate, carbon emission intensity, and carbon emissions; The elastic interaction safety score of the distribution network is determined based on the first evaluation result, the second evaluation result, the third evaluation result, the fourth evaluation result, and the corresponding weight coefficient, wherein the weight coefficient is used to ensure that the elastic interaction safety score of the distribution network is consistent with the benefit ranking of each elastic interaction area under the premise of ensuring the security of the power grid in the elastic interaction area, and carbon penalty is taken into account in the process of determining the benefit ranking of the elastic interaction area.

2. The method for determining the distribution network elastic interactive safety score according to claim 1, characterized in that: The newly added power grid dynamic interaction capability parameters include: source-load regulation flexibility activity index, system self-healing capability index; according to the index value of the first evaluation index corresponding to the power grid security layer, determining the first evaluation result corresponding to the power grid security layer includes: According to the adjustable energy storage resources, grid-connectable new energy resources, and feedable vehicle storage resources of the distribution network at the target time, the index value of the source-load regulation flexibility and activity index is determined, wherein the source-load regulation flexibility and activity index is used to characterize the grid's regulation ability for resources on the source side and the load side, including: the total amount of grid-connected power feed that can be provided at the target time; Determine the index value of the system self-healing capability index according to the fault detection, isolation and recovery time parameters, the recovery priority ranking parameters and the power grid self-healing rate, wherein the system self-healing capability index is used to characterize the self-healing capability of the power grid after a fault occurs; According to the index value of the source-load regulation flexibility and activity index and the index value of the system self-healing capability index, the first evaluation result corresponding to the power grid security layer is determined.

3. The method for determining the distribution network elastic interactive safety score according to claim 2, characterized in that: According to the fault detection, isolation and recovery time parameters, the recovery priority ranking parameters and the power grid self-healing rate, the index value of the system self-healing capability index is determined to include: Determine the fault detection, isolation and recovery time parameters according to the fault inspection time, fault isolation time, fault recovery time, maximum fault inspection time, maximum fault isolation time, maximum fault recovery time, preset fault inspection time, preset fault isolation time and preset fault recovery time, wherein the preset fault inspection time is less than the maximum fault inspection time, the preset fault isolation time is less than the maximum fault isolation time, and the preset fault recovery time is less than the maximum fault recovery time; Determine the importance level of the network node according to the load power of each user under each user type corresponding to the network node, determine the theoretical self-healing order of the network nodes in descending order of the importance levels, and determine the recovery priority sorting parameter according to the theoretical self-healing order and the actual self-healing order of the network nodes in the power grid; The ratio of the total number of users whose faults are self-recovered within a unit time to the total number of users affected by the faults is determined as the power grid self-recovery rate; The index value of the system self-healing capability index is determined according to the fault detection, isolation and recovery time parameters, the recovery priority ranking parameters, the power grid self-healing rate, and the corresponding weight coefficients.

4. The method for determining the distribution network elastic interactive safety score according to claim 1, characterized in that: The power grid reliability index includes: power supply uplink reliability rate and power supply downlink reliability rate; according to the index value of the second evaluation index corresponding to the power grid efficiency layer, determining the second evaluation result corresponding to the power grid efficiency layer includes: Determine the probability of insufficient grid absorption of the distribution network system within a preset assessment period, and determine the upstream reliability rate of power supply based on the probability of insufficient grid absorption and the assessment value corresponding to the preset assessment period; Determine the probability of power shortage of the power distribution network system within a preset assessment period, and determine the power supply downstream reliability rate based on the power shortage probability and the assessment value corresponding to the preset assessment period; The second evaluation result corresponding to the power grid efficiency layer is determined based on the power supply upstream reliability rate, the power supply downstream reliability rate, the maximum output power corresponding to the maximum power transmission capacity indicator of the power grid, and the voltage stability parameter and frequency stability parameter corresponding to the power quality indicator.

5. The method for determining the distribution network elastic interactive safety score according to claim 1, characterized in that: Determining the third evaluation result corresponding to the power grid cost layer according to the indicator value of the third evaluation indicator corresponding to the power grid cost layer includes: The newly added electricity cost is determined according to an electricity price cost reaction degree parameter, a price stability parameter, and an electricity price adaptability parameter, wherein the electricity price cost reaction degree parameter is used to characterize the degree of deviation between the power generation price and the real-time electricity price, the price stability parameter is used to characterize the degree of fluctuation of the real-time electricity price within a preset time range, and the electricity price adaptability parameter is used to characterize the coordinated change of the real-time electricity price and the electricity load, and is determined according to the real-time electricity price and the real-time load of the user; The abandoned power cost is determined according to the abandoned photovoltaic power and abandoned wind power of the distribution network system, wherein the abandoned photovoltaic power refers to the electric energy generated by the solar photovoltaic power generation system that cannot be absorbed or used by the power grid and is lost, and the abandoned wind power refers to the electric energy generated by the wind power generation system that cannot be absorbed or used by the power grid and is lost; The third evaluation result corresponding to the power grid cost layer is determined based on the newly added electricity cost and the abandoned electricity cost.

6. The method for determining the distribution network elastic interactive safety score according to claim 1, characterized in that: Determining the fourth evaluation result corresponding to the power grid carbon reduction layer according to the index value of the fourth evaluation index corresponding to the power grid carbon reduction layer includes: Determine the ratio of green energy power generation to total power generation in the distribution network system, and determine the ratio as the green power rate; Obtaining carbon emissions corresponding to the distribution network system, and determining the carbon emission intensity based on the carbon emissions and energy consumption; The fourth evaluation result corresponding to the carbon reduction layer of the power grid is determined based on the green electricity rate, the carbon emission intensity and the carbon emissions.

7. A method and device for determining a distribution network elastic interactive safety score, characterized in that: include: A region determination module is used to determine a resilient interaction region, wherein the resilient interaction region is a power grid to which the resilient interaction definition of the power grid is applied, and the resilient interaction definition of the power grid is a dynamic constraint "source-storage-load" interaction mode adopted in a region where a large number of new energy power grids are connected to the grid to reduce the impact of new energy fluctuations on power grid efficiency, power grid costs, and power grid emission reduction; An indicator determination module is used to determine the evaluation indicators corresponding to the power grid in the elastic interaction area, wherein the power grid in the elastic interaction area corresponds to multiple dimensional levels, and the dimensional levels include: a power grid security layer, a power grid efficiency layer, a power grid cost layer, and a power grid carbon reduction layer, and the evaluation indicators corresponding to each dimensional level are different; A first evaluation module, used to determine a first evaluation result corresponding to the power grid security layer according to an index value of a first evaluation index corresponding to the power grid security layer, and to determine a second evaluation result corresponding to the power grid efficiency layer according to an index value of a second evaluation index corresponding to the power grid efficiency layer, wherein the first evaluation index includes: a power grid static security parameter and a power grid dynamic interactive capability parameter, and the second evaluation index includes: a power grid reliability index, a power grid maximum transmission capability index, and a power quality index; The second evaluation module is used to determine the third evaluation result corresponding to the grid cost layer according to the index value of the third evaluation index corresponding to the grid cost layer, and to determine the fourth evaluation result corresponding to the grid carbon reduction layer according to the index value of the fourth evaluation index corresponding to the grid carbon reduction layer, wherein the third evaluation index includes: grid cost, electricity cost, and power abandonment cost, and the fourth evaluation index includes: green electricity rate, carbon emission intensity, and carbon emissions; The weight adjustment module brings the power grid data of the elastic interaction area into the first evaluation module and the second evaluation module for calculation, and adjusts each weight coefficient to make the elastic interaction safety score of the distribution network consistent with the profit ranking of each elastic interaction area under the premise of ensuring the security of the power grid in the elastic interaction area; A score determination module is used to determine the distribution network elastic interaction safety score based on the first evaluation result, the second evaluation result, the third evaluation result, the fourth evaluation result, and the corresponding weight coefficient.

8. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the distribution network elastic interactive safety score determination method described in any one of claims 1 to 6 by running the computer program.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method for determining the distribution network elastic interactive safety score as described in any one of claims 1 to 6 are implemented.

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