Economic evaluation method for power distribution network technology and related device

Abstract

The invention discloses a power distribution network technology economy evaluation method and a related device, and the method comprises the steps: obtaining corresponding technical characteristic parameters of each power supply system in n power supply systems corresponding to a target power distribution network in a preset time period, and obtaining n groups of technical characteristic parameters, determining a reference technical index corresponding to each power supply system in the n power supply systems based on the n groups of technical characteristic parameters to obtain n reference technical indexes, determining a target technical index corresponding to the target power distribution network based on the n reference technical indexes, and obtaining a corresponding net present value of the target power distribution network in a preset time period, and determining a target economic index corresponding to the net present value, and determining a technical economic index corresponding to the target power distribution network based on the target technical index and the target economic index. By adopting the embodiment of the invention, the accuracy of evaluating the technical economy of the power distribution network in the flexible interconnection scene is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution networks, and in particular, to a method and related device for evaluating the technical economy of a distribution network. Background Art

[0002] Under the background of today's energy transformation and continuous growth of power demand, the flexible DC distribution network system has gradually become a key research and development direction in the power field due to its many advantages. Traditional distribution networks face challenges in coping with large-scale access of distributed energy sources, improving power supply reliability and flexibility. The flexible DC distribution network system can achieve precise control of power, optimize power quality and efficiently integrate distributed power sources by adopting advanced power electronic technologies. However, currently, it is impossible to accurately evaluate the technical economy of the distribution network in the flexible interconnection scenario. Therefore, how to accurately evaluate the technical economy of the distribution network in the flexible interconnection scenario is an urgent problem to be solved. Summary of the Invention

[0003] The embodiments of the present application provide a method and related device for evaluating the technical economy of a distribution network, which improve the accuracy of evaluating the technical economy of the distribution network in the flexible interconnection scenario.

[0004] In a first aspect, the embodiments of the present application provide a method for evaluating the technical economy of a distribution network, which is applied to a flexible DC distribution network system. The method includes:

[0005] Obtain the technical characteristic parameters corresponding to each of the n power supply systems of the target distribution network within a preset time period, and obtain n sets of technical characteristic parameters; n is an integer greater than 1;

[0006] Based on the n sets of technical characteristic parameters, determine the reference technical indexes corresponding to each of the n power supply systems, and obtain n reference technical indexes; each set of technical characteristic parameters corresponds to one reference technical index;

[0007] Based on the n reference technical indexes, determine the target technical index corresponding to the target distribution network;

[0008] Obtain the net present value corresponding to the target distribution network within the preset time period;

[0009] Determine the target economic index corresponding to the net present value;

[0010] Based on the target technical index and the target economic index, determine the technical economic index corresponding to the target distribution network.

[0011] Second aspect, an embodiment of the present application provides a technical and economic evaluation device for a distribution network, which is applied to a flexible DC distribution network system. The technical and economic evaluation device for the distribution network includes: an acquisition unit and a processing unit;

[0012] The acquisition unit is configured to acquire technical characteristic parameters corresponding to each of the n power supply systems corresponding to the target distribution network within a preset time period, and obtain n sets of technical characteristic parameters; n is an integer greater than 1;

[0013] The processing unit is configured to determine a reference technical index corresponding to each of the n power supply systems based on the n sets of technical characteristic parameters, and obtain n reference technical indexes; each set of technical characteristic parameters corresponds to one reference technical index;

[0014] Determine a target technical index corresponding to the target distribution network based on the n reference technical indexes;

[0015] Acquire the net present value corresponding to the target distribution network within the preset time period;

[0016] Determine a target economic index corresponding to the net present value;

[0017] Determine a technical and economic index corresponding to the target distribution network based on the target technical index and the target economic index.

[0018] Third aspect, an embodiment of the present invention provides an electronic device, including: a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the processor so that the electronic device executes the method according to the first aspect.

[0019] Fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, and the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method according to the first aspect.

[0020] Fifth aspect, an embodiment of the present invention provides a computer program product, and the computer program product includes a non-transitory computer-readable storage medium storing a computer program, so that a computer executes the method according to the first aspect.

[0021] Implementing the embodiments of the present invention has the following beneficial effects:

[0022] It can be seen that in the distribution network technology economy evaluation method described in the embodiments of the present invention, technical characteristic parameters corresponding to each power supply system in the n power supply systems corresponding to the target distribution network are obtained within a preset time period, and n groups of technical characteristic parameters are obtained. Based on the n groups of technical characteristic parameters, reference technical indexes corresponding to each power supply system in the n power supply systems are determined, and n reference technical indexes are obtained. Each group of technical characteristic parameters corresponds to a reference technical index. Based on the n reference technical indexes, the target technical index corresponding to the target distribution network is determined. The net present value corresponding to the target distribution network within the preset time period is obtained, and the target economic index corresponding to the net present value is determined. Based on the target technical index and the target economic index, the technical economy index corresponding to the target distribution network is determined, improving the accuracy of evaluating the technical economy of the distribution network in the flexible interconnection scenario. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the background technology, the drawings required to be used in the embodiments of the present application or the background technology will be described below.

[0024] Figure 1 is a flowchart of a distribution network technology economy evaluation method provided by an embodiment of the present application;

[0025] Figure 2 is an example diagram of a medium-voltage flexible interconnection technology solution for a distribution network provided by an embodiment of the present application;

[0026] Figure 3 is a distribution diagram of technical characteristic indexes corresponding to a distribution network in a medium-voltage flexible interconnection application scenario provided by an embodiment of the present application;

[0027] Figure 4 is a flowchart of determining n reference technical indexes provided by an embodiment of the present application;

[0028] Figure 5 is a flowchart of determining the target economic index provided by an embodiment of the present application;

[0029] Figure 6 is a flowchart of determining the technical economy index provided by an embodiment of the present application;

[0030] Figure 7 is a schematic structural diagram of a distribution network technology economy evaluation device provided by an embodiment of the present application;

[0031] Figure 8 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] To enable those skilled in the art to better understand the solution of this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without making creative efforts shall fall within the protection scope of this application.

[0033] The terms "first", "second", etc. in the specification and claims of this application and the above accompanying drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices.

[0034] Referring to "embodiments" herein means that the specific features, structures or characteristics described in connection with the embodiments may be included in at least one embodiment of this application. The phrase appears in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments.

[0035] First, the relevant terms involved in this application will be explained:

[0036] Flexible DC distribution network system: It is a distribution network system that adopts flexible DC transmission technology. Flexible DC transmission technology is based on voltage source converters and pulse width modulation technology, which can achieve independent control of active power and reactive power, and can flexibly adjust power quality parameters such as voltage, frequency, and phase, providing a more stable and reliable power supply for the distribution network. The flexible DC distribution network system consists of converter stations, DC transmission lines, AC grid interfaces, distributed power access, and energy storage devices. The converter station is the core equipment of the flexible DC distribution network system, mainly composed of converters, controllers, filters, etc. The converter converts AC power into DC power, or vice versa, to achieve the connection and power transmission between AC power with different voltage levels and frequencies. The controller is responsible for controlling the converter to ensure its stable operation and meet the various requirements of the system. The filter is used to filter out the harmonics generated during the conversion process to improve the power quality; The DC transmission line is used to transmit DC power. Compared with the AC transmission line, the DC transmission line has the advantages of small transmission loss, large transmission capacity, and narrow line corridor, and is especially suitable for long-distance, large-capacity power transmission and power supply to special areas such as remote areas and offshore platforms; The AC grid interface realizes the connection between the flexible DC distribution network and the external AC grid, including transformers, switchgear, protection devices, etc. Through the AC grid interface, the flexible DC distribution network can be interconnected with the traditional AC distribution network to achieve two-way power transmission and power balance; The flexible DC distribution network system is suitable for connecting various distributed power sources, such as solar photovoltaic power stations, wind farms, small hydropower stations, biomass power generation, etc. These distributed power sources can be directly connected to the DC distribution network through converters, avoiding problems such as frequency and voltage fluctuations that may occur when distributed power sources are connected to the AC distribution network, and improving the access efficiency and stability of distributed power sources; In order to improve the stability and reliability of the system, the flexible DC distribution network system usually configures a certain capacity of energy storage devices, such as battery energy storage, supercapacitor energy storage, flywheel energy storage, etc. The energy storage device can store electrical energy when the system power is excessive and release electrical energy when the power is insufficient, playing a role in regulating the system power balance, smoothing power fluctuations, and improving power quality.

[0037] Please refer to Figure 1 , Figure 1 which is a flowchart of a method for evaluating the technical and economic performance of a distribution network provided by an embodiment of the present application, including but not limited to the following steps:

[0038] S101: Obtain the technical characteristic parameters corresponding to each of the n power supply systems of the target distribution network within a preset time period to obtain n sets of technical characteristic parameters.

[0039] In this embodiment, n is an integer greater than 1. The n power supply systems may include a substation power supply system, a distributed power supply system, an energy storage system, a microgrid power supply system, etc. Specifically, a substation is a key link in the distribution network. It converts high-voltage electrical energy into medium-voltage or low-voltage electrical energy suitable for users. There may be multiple substations in a target distribution network. Each substation is responsible for supplying power to users in a certain area. Its technical characteristic parameters are crucial for the operation of the entire distribution network. With the wide application of renewable energy, the proportion of distributed power sources such as solar photovoltaic power plants, wind farms, small hydropower stations, and biomass power plants in the distribution network is gradually increasing. These distributed power sources can be directly connected to the distribution network to supply power to surrounding users. Their technical characteristic parameters, such as the distributed energy penetration rate, can reflect their contribution degree in the distribution network and the impact on the traditional power supply mode. At the same time, parameters such as the power supply capacity and power supply efficiency of distributed power sources will also affect the overall performance of the distribution network. The energy storage system plays a role in regulating the balance between power supply and demand and improving the reliability and stability of power supply in the distribution network. Common energy storage technologies include lithium-ion battery energy storage, lead-acid battery energy storage, flow battery energy storage, flywheel energy storage, compressed air energy storage, etc. Technical characteristic parameters such as the power supply capacity (i.e., the total electrical energy that can be released) and charge-discharge efficiency of the energy storage system are of great significance for evaluating the operation ability of the distribution network under different working conditions. A microgrid is a small power generation and distribution system composed of distributed power sources, energy storage devices, energy conversion devices, related loads, and monitoring and protection devices. It can operate either in parallel with the external power grid or independently. There may be multiple microgrids in a target distribution network, and each microgrid has its unique technical characteristic parameters.

[0040] In this embodiment, the technical characteristic parameters include: power supply capacity, power supply utilization rate, power supply efficiency, power consumption reliability value, and distributed energy penetration rate. The power supply capacity refers to the maximum power capacity that the power supply system can provide under certain conditions, and it is an important indicator to measure the scale and power supply capacity of the power supply system. A larger power supply capacity can meet the power consumption needs of more users or high-power-consuming devices, ensure the stable operation of the power supply system during peak loads, and avoid problems such as power outages or voltage instability caused by insufficient capacity; the power supply utilization rate refers to the ratio of the actual power supply quantity to the rated power supply capacity of the power supply system within a certain period of time, which can help evaluate the operation efficiency and resource utilization of the power supply system. A higher power supply utilization rate means that the capacity of the power supply system is fully utilized and the resource allocation is relatively reasonable. On the contrary, a lower power supply utilization rate may indicate problems such as capacity idleness or uneven load distribution, and further optimization of the operation mode of the power supply system or equipment adjustment is required; the power supply efficiency refers to the ratio of the useful electric energy output by the power supply system to the input electric energy, and it is one of the key indicators to measure the performance of the power supply system. Improving the power supply efficiency can reduce the loss of electric energy during transmission and distribution, reduce the power supply cost, and at the same time contribute to energy conservation and reduction of environmental impact. By optimizing measures such as equipment selection, line layout, and operation management of the power supply system, the power supply efficiency can be improved to achieve the goal of energy conservation and emission reduction; the power consumption reliability value is used to measure the ability of the power supply system to continuously and stably supply power to users, and is usually expressed by indicators such as power outage time, power outage frequency, and power supply reliability rate. It is directly related to the user's power consumption experience and the normal progress of production and life. For some users with high requirements for the continuity of power supply, such as hospitals, financial institutions, industrial production enterprises, etc., a high power consumption reliability value is crucial, which can avoid adverse consequences such as economic losses, production interruptions, and medical accidents caused by power outages; the distributed energy penetration rate refers to the proportion of the installed capacity or power generation of distributed energy (such as solar energy, wind energy, small hydropower stations, biomass energy, etc.) in the total capacity or total power generation of the distribution network after it is connected to the distribution network, which reflects the application degree of distributed energy in the distribution network and its impact on the traditional power supply mode. A higher distributed energy penetration rate means that the distribution network is more diversified and flexible, can make full use of local renewable energy resources, reduce the dependence on traditional centralized power sources, improve the energy self-sufficiency rate and system stability. At the same time, it also poses higher requirements for the planning, operation, and control of the distribution network, and it is necessary to consider the characteristics of intermittency and uncertainty of distributed energy to ensure the safe and reliable operation of the distribution network.

[0041] To obtain the technical characteristic parameters (power supply capacity, power supply utilization rate, power supply efficiency, power consumption reliability value, distributed energy penetration rate) of the n power supply systems corresponding to the target distribution network within a preset time period, the current, voltage and other parameters of each power supply system can be monitored in real time through smart meters, and then combined with the rated parameters of the system, the power supply capacity can be determined. The smart meter will record the actual power consumption of each power supply system, and combined with the power supply capacity of the system, the power supply utilization rate within the preset time period can be calculated. By measuring the power data at the input and output ends of the smart meter, the power loss can be calculated, and then the power supply efficiency can be obtained. The smart meter can record information such as power outage time and frequency, and based on these data, power consumption reliability value indicators such as power consumption reliability rate can be calculated. Sensors are installed at the distributed energy access points to monitor the power generation power and power generation volume of distributed energy in real time. Summarize all the relevant data of distributed energy and compare it with the total capacity or total power generation of the distribution network to obtain the distributed energy penetration rate.

[0042] In this embodiment, the target distribution network is a distribution network belonging to the medium-voltage flexible interconnection application scenario. Please refer to Figure 2 , Figure 2 which is an example diagram of a medium-voltage flexible interconnection technology solution for a distribution network provided by an embodiment of the present application. Figure 2 In the figure, the power grid D1 is connected to the load L1 and the AC-DC converter through the AC line X1. The AC-DC converter Z1 is connected to the DC-AC converter Z2 and the DC-AC converter Z3. The DC-AC converter Z2 is connected to the load L2 and the AC line X2. The AC line X2 is connected to the power grid D2. The DC-AC converter Z3 is connected to the load L3 and the AC line X3. The AC line X3 is connected to the power grid D3.

[0043] It should be noted that, please refer to Figure 3 , Figure 3 which is a distribution diagram of technical characteristic indicators corresponding to a distribution network in a medium-voltage flexible interconnection application scenario provided by an embodiment of the present application. Figure 3 In the figure, the technical characteristic indicators corresponding to the distribution network in the medium-voltage flexible interconnection application scenario include power supply capacity, power supply utilization rate, power supply efficiency, power consumption reliability value, and distributed energy penetration rate. In terms of the access capacity of distributed new energy, due to the reactive power compensation ability of DC flexible interconnection equipment, the limitation of the feeder voltage operation range on the allowable access new energy capacity of the line is eliminated, and the distributed new energy penetration rate of the system is improved.

[0044] It can be seen that a distribution network is usually composed of multiple power supply systems of different types and locations. Obtaining n sets of technical characteristic parameters can comprehensively cover the operation information of each part of the distribution network. By separately obtaining and analyzing the technical characteristic parameters of each power supply system, the operation status and existing problems of each system can be understood more accurately. Based on the historical n sets of technical characteristic parameters, the operation trend of the future distribution network can be predicted. These technical characteristic parameters are an important basis for economic evaluation. For example, parameters such as power supply efficiency and power supply utilization rate are directly related to power loss and cost. By accurately obtaining these parameters, economic indicators such as the operation cost, revenue, and net present value of the distribution network can be calculated more precisely, providing strong support for the investment decision-making and operation management of the distribution network.

[0045] S102: Determine the reference technical indicators corresponding to each of the n power supply systems based on the n sets of technical characteristic parameters, obtaining n reference technical indicators.

[0046] In this embodiment, each set of technical characteristic parameters corresponds to a reference technical indicator. Please refer to Figure 4 , Figure 4 which is a flowchart for determining n reference technical indicators provided by an embodiment of the present application, including but not limited to the following steps:

[0047] S401: Determine the power supply reliability value, power supply capacity, and power supply efficiency corresponding to the first power supply system in the first set of technical characteristic parameters, obtaining the first power supply reliability value, the first power supply capacity, and the first power supply efficiency.

[0048] In this embodiment, the first set of technical characteristic parameters is any one of the n sets of technical characteristic parameters, and the first power supply system is the power supply system corresponding to the first set of technical characteristic parameters among the n power supply systems.

[0049] The power supply reliability value is an indicator for measuring the ability of a power supply system to continuously and stably supply power to users. It reflects the reliable degree to which the power supply system can meet the power consumption needs of users within a certain period of time. For users, a stable and reliable power supply is the key to ensuring the normal progress of production and life. A high power supply reliability value means fewer power outages and shorter power outage times, which can avoid economic losses, production interruptions, and inconveniences caused by power outages. The reliability of power equipment, the structure and layout of the power grid, the maintenance and management level, natural disasters, and external force damage will all affect the power supply reliability value of the power supply system.

[0050] The power supply capacity refers to the maximum power supply capacity that a power supply system can provide under certain conditions, usually measured in power units (such as kilowatts, megawatts). It represents the scale of the power supply system's ability to meet the electricity consumption needs of users. The power supply capacity determines the number and total power of electrical equipment that the power supply system can support. When planning and designing a power supply system, accurately evaluating the power supply capacity is the key to ensuring that the system can meet the electricity consumption growth needs of users in the future. If the power supply capacity is insufficient, it may lead to problems such as overload and voltage instability, affecting the power supply quality and even causing equipment damage and power outages. While an excessive capacity may result in waste of resources and increased investment costs. The rated capacity of power supply equipment (such as generators, transformers, etc.) in the power supply system, the transmission capacity of transmission lines, and the operation mode of the system will all affect the power supply capacity of the power supply system.

[0051] The power supply efficiency refers to the ratio of the active power output by the power supply system to the total input power (including active power and reactive power), usually expressed as a percentage. It reflects the energy conversion and utilization efficiency of the power supply system during the process of transmitting electrical energy from the power source to the user. Improving the power supply efficiency helps to reduce the losses of electrical energy during transmission and conversion, lower the power supply cost, improve the energy utilization efficiency, and achieve the goal of energy conservation and emission reduction. For power supply enterprises, a high-efficiency power supply system can reduce operating costs and improve economic benefits. For the entire society, it helps to save energy resources and reduce the impact on the environment. The efficiency of electrical equipment, the losses of the power grid, the power factor, etc. will all affect the power supply efficiency of the power supply system.

[0052] S402: Determine the difference in power supply reliability value between the first power supply reliability value and the preset power supply reliability value, the difference in power supply capacity between the first power supply capacity and the preset power supply capacity, and the difference in power supply efficiency between the first power supply efficiency and the preset power supply efficiency.

[0053] In this embodiment, the first power supply reliability value is a value actually calculated for the first power supply system within a preset time period, reflecting the power supply reliability of the system. The preset power supply reliability value is a target value of the desired power supply reliability level set in advance according to factors such as the design standards of the power supply system, industry specifications, or user requirements. The difference in power supply reliability value is the result obtained by subtracting the preset power supply reliability value from the first power supply reliability value. For example, if the first power supply reliability value is 99.8% and the preset power supply reliability value is 99.5%, then the difference in power supply reliability value is 99.8% - 99.5% = 0.3%. This difference reflects the gap between the actual power supply reliability of the first power supply system and the expected target. A positive difference indicates that the actual power supply reliability is higher than the preset value, while a negative difference means that the actual situation does not meet the preset requirements.

[0054] The first power supply capacity is the maximum power supply capacity that the first power supply system can provide within a preset time period. The preset power supply capacity is the target value of the power supply capacity that should be achieved based on factors such as the estimated user load and development requirements during the planning and design stages of the power supply system. The power supply capacity difference is the result of subtracting the preset power supply capacity from the first power supply capacity. For example, if the first power supply capacity is 5000 kilowatts and the preset power supply capacity is 4500 kilowatts, then the power supply capacity difference is 5000 - 4500 = 500 kilowatts. This difference reflects the discrepancy between the actual power supply capacity of the first power supply system and the planning requirements. A positive value indicates that the actual power supply capacity exceeds the preset value, which may mean that the system has a certain redundancy or stronger power supply capabilities. A negative value indicates that the actual power supply capacity is insufficient and may not be able to meet the expected electricity demand.

[0055] The first power supply efficiency is the actual energy conversion and utilization efficiency calculated based on the input and output powers of the first power supply system within a preset time period. The preset power supply efficiency is the expected power supply efficiency value set based on technical standards, energy-saving goals, or the experience of similar advanced systems. The power supply efficiency difference is obtained by subtracting the preset power supply efficiency from the first power supply efficiency. For example, if the first power supply efficiency is 90% and the preset power supply efficiency is 85%, then the power supply efficiency difference is 90% - 85% = 5%. This difference reflects the degree of deviation between the actual energy utilization efficiency of the first power supply system and the preset standard. A positive difference indicates that the actual power supply efficiency is higher than expected, and the system performs well in terms of energy utilization. A negative difference indicates that the actual efficiency is lower than the preset value, which may indicate problems such as energy waste or low equipment operation efficiency.

[0056] S403: Determine the first weight corresponding to the difference from the power consumption reliability value, the second weight corresponding to the power supply capacity difference, and the third weight corresponding to the power supply efficiency difference.

[0057] In this embodiment, exemplarily, first determine the first reference weight corresponding to the difference from the power consumption reliability value, the second reference weight corresponding to the power supply capacity difference, and the third reference weight corresponding to the power supply efficiency difference. The sum of the first reference weight, the second reference weight, and the third reference weight is 1. Specifically, it can be a preset mapping relationship between the difference from the power consumption reliability value and the reference weight. Based on this mapping relationship, the first reference weight corresponding to the difference from the power consumption reliability value can be determined. It can be a preset mapping relationship between the power supply capacity difference and the reference weight. Therefore, based on this mapping relationship, the second reference weight corresponding to the power supply capacity difference can be determined. After obtaining the first reference weight and the second reference weight, since the sum of the first reference weight, the second reference weight, and the third reference weight is 1, the third reference weight can thus be determined according to the first reference weight and the second reference weight.

[0058] Exemplarily, obtain the load value of the first power supply system. Specifically, when the load value exceeds the design capacity of the power supply system, it will cause equipment such as transformers and transmission lines to operate overloaded. Long-term overload will accelerate equipment aging, reduce the service life of the equipment, and at the same time increase the probability of equipment failure, thus affecting the power consumption reliability value of the power supply system. Therefore, it is necessary to determine the impact of the load value of the first power supply system on the load value of the first power supply system.

[0059] Exemplarily, determine the first optimization factor corresponding to the load value. Specifically, it can be a preset mapping relationship between the load value and the optimization factor. Based on this mapping relationship, the first optimization factor corresponding to the load value can be determined.

[0060] Exemplarily, optimize the first reference weight based on the first optimization factor to obtain the first weight. Specifically, calculate the first weight according to the following formula:

[0061] First weight = First reference weight × (1 + First optimization factor);

[0062] According to the above formula, the first reference weight can be optimized based on the first optimization factor to obtain the first weight.

[0063] Exemplarily, obtain the length of the transmission line between the first power supply system and the power supply point of the first power supply system. Specifically, since there are resistance losses and voltage drops in the transmission line between the power supply system and the power supply point, the longer the line length, the greater the resistance, and the greater the voltage drop generated when the current passes through, and the greater the power loss, thus affecting the power supply capacity of the power supply system. Therefore, it is necessary to obtain the length of the transmission line between the first power supply system and the power supply point of the first power supply system, so as to analyze the impact of the length of the transmission line between the first power supply system and the power supply point of the first power supply system on the power supply capacity difference.

[0064] Exemplarily, determine the second optimization factor corresponding to the transmission line length. Specifically, it can be a preset mapping relationship between the transmission line length and the optimization factor. Based on this mapping relationship, the second optimization factor corresponding to the transmission line length can be determined.

[0065] Exemplarily, optimize the second reference weight based on the second optimization factor to obtain the second weight. Specifically, calculate the second weight according to the following formula:

[0066] Second weight = Second reference weight × (1 + Second optimization factor);

[0067] According to the above formula, the second reference weight can be optimized based on the second optimization factor to obtain the second weight.

[0068] Exemplarily, the third weight corresponding to the third reference weight is determined based on the first weight and the second weight. Specifically, since the sum of the first weight, the second weight, and the third weight is 1, after the first weight and the second weight are determined, the third weight corresponding to the third reference weight can be determined based on the first weight and the second weight.

[0069] It can be seen that by determining reference weights for the difference in power supply reliability value, the difference in power supply capacity, and the difference in power supply efficiency respectively, and optimizing these weights according to different factors, the comprehensive performance of the first power supply system can be evaluated more comprehensively and accurately. Different weights reflect the relative importance of each indicator in evaluating the power supply system, making the evaluation result more in line with the actual needs. Obtain the load value of the first power supply system and determine its corresponding first optimization factor to optimize the first reference weight. In this way, according to the actual load situation borne by the power supply system, the importance of the power supply reliability value in the comprehensive evaluation can be dynamically adjusted. Obtain the transmission line length between the first power supply system and the power source point, and determine its corresponding second optimization factor to optimize the second reference weight. This helps to reflect the impact of the transmission line length on the power supply capacity. According to the specific characteristics and evaluation focus of the power supply system, by adjusting the first optimization factor and the second optimization factor, the distribution of the three weights can be indirectly adjusted to meet different evaluation needs. By comprehensively considering multiple factors and optimizing the weight distribution, the advantages and disadvantages of the power supply system can be identified more accurately, helping decision-makers to take targeted measures. If it is found that the weight of the power supply capacity difference is large and the actual power supply capacity is insufficient, the decision-maker can consider increasing power supply equipment or optimizing the power grid structure to increase the power supply capacity to meet the electricity demand of users.

[0070] S404: Calculate based on the difference in power supply reliability value, the difference in power supply capacity, the difference in power supply efficiency, the first weight, the second weight, and the third weight to obtain a first target difference.

[0071] In this embodiment, the first target difference is specifically calculated according to the following formula:

[0072] First target difference = difference in power supply reliability value × first weight + difference in power supply capacity × second weight + difference in power supply efficiency × third weight;

[0073] According to the above formula, the first target difference can be calculated based on the difference in power supply reliability value, the difference in power supply capacity, the difference in power supply efficiency, the first weight, the second weight, and the third weight.

[0074] Through this calculation method, the three differences are weighted and combined according to their respective weights to obtain a first target difference that comprehensively reflects the degree of difference between the technical characteristic parameters of the power supply system and the preset value. This difference can be used as a key indicator for evaluating the performance of the first power supply system, and is used to judge the deviation of the power supply system from the expected target in terms of overall technical characteristics. The larger the difference, the greater the gap between the actual performance of the power supply system and the preset target; the smaller the difference, the closer the power supply system is to the preset ideal state.

[0075] S405: Determine the reference technical index corresponding to the first power supply system based on the first target difference.

[0076] In this embodiment, exemplarily, obtain the first mapping relationship between the difference and the technical index. Specifically, collect a large amount of historical data on the actual operation of the power supply system, including technical characteristic parameters such as power consumption reliability values, power supply capacities, and power supply efficiencies of different power supply systems under different working conditions, as well as the corresponding actual operation effects and technical index evaluations. These data can come from the operation records of power companies, the monitoring system database, etc. Classify and organize the collected data, group them according to different difference ranges, and use statistical methods such as correlation analysis and clustering analysis to find the internal connections and laws between the difference and the technical index. For example, through correlation analysis, it is found that there is a significant linear relationship between the power supply efficiency difference and the goodness of the technical index. According to this relationship, a specific mapping function can be established to determine the technical index corresponding to different differences.

[0077] Exemplarily, when the first target difference is less than the difference threshold, determine the technical index corresponding to the first target difference based on the first mapping relationship to obtain the reference technical index. Specifically, if the calculated first target difference is less than the pre-set difference threshold, it indicates that the comprehensive performance of the power supply system is good and within an acceptable range. At this time, directly according to the previously established first mapping relationship, find the technical index corresponding to this first target difference, and this index is the reference technical index of the power supply system.

[0078] Exemplarily, when the first target difference is greater than or equal to the difference threshold, determine the first power supply efficiency and the first distributed energy penetration rate corresponding to the first power supply system in the first technical characteristic parameters, and determine the difference in power supply efficiency between the first power supply efficiency and the preset power supply efficiency, and the difference in distributed energy penetration rate between the first distributed energy penetration rate and the preset distributed energy penetration rate. Specifically, when the first target difference is greater than or equal to the difference threshold, it indicates that there are certain problems with the performance of the power supply system and further analysis is required. At this time, it is necessary to determine the first power supply efficiency and the first distributed energy penetration rate corresponding to the first power supply system in the first technical characteristic parameters, and calculate the differences between them and their respective preset values, namely the difference in power supply efficiency and the difference in distributed energy penetration rate. For example, if the first power supply efficiency is 80% and the preset power supply efficiency is 85%, the difference in power supply efficiency is -5%, and if the first distributed energy penetration rate is 30% and the preset distributed energy penetration rate is 40%, the difference in distributed energy penetration rate is -10%.

[0079] Exemplarily, the first target difference is adjusted based on the power supply efficiency difference and the energy penetration difference to obtain a second target difference. Specifically, when the first target difference is greater than or equal to the difference threshold, it indicates that only considering the differences in power consumption reliability value, power supply capacity, and power supply efficiency to evaluate the technical indicators of the power supply system may not be comprehensive or accurate enough. It is necessary to further consider the factor of distributed energy penetration to more comprehensively reflect the comprehensive performance of the power supply system. The adjustment method may be through a certain weighted calculation or comprehensive consideration according to specific business rules. For example, it may be stipulated that the weight of the power supply efficiency difference is 0.6 and the weight of the energy penetration difference is 0.4. Then, the adjusted second target difference = the first target difference + 0.6 × the power supply efficiency difference + 0.4 × the energy penetration difference. Assuming the first target difference is 0.6, according to the difference calculation in the above example, the second target difference = 0.6 + 0.6 × (-0.05) + 0.4 × (-0.1) = 0.53. Adjusting the first target difference based on the power supply efficiency difference and the energy penetration difference to obtain the second target difference is a dynamic adjustment process because the power supply efficiency and distributed energy penetration will change with factors such as the operating state of the distribution network, equipment performance, and energy access situation. Through this dynamic adjustment, it can better adapt to various actual operating conditions, so that the finally determined reference technical indicators can more accurately reflect the technical level of the current power supply system. The power supply efficiency is an important indicator to measure the operating effect of the power supply system and reflects the energy utilization efficiency of the system during the power transmission and conversion process. The distributed energy penetration reflects the access ratio of distributed energy in the power supply system and reflects the utilization degree of clean energy in the system and the optimization of the energy structure. By considering the power supply efficiency difference and the energy penetration difference to adjust the first target difference, it can more accurately reflect the technical level and performance of the power supply system in actual operation. This helps to avoid evaluation biases caused by the limitations of single or partial indicators, improve the accuracy and reliability of the evaluation results, and provide a more targeted basis for the optimization and improvement of the power supply system. This adjustment method can guide the power supply system to pay attention to the access and utilization of distributed energy while improving traditional performance indicators, and promote the development of the power supply system towards high efficiency, cleanliness, and intelligence.

[0080] Exemplarily, based on the first mapping relationship, the technical indicator corresponding to the second target difference is determined to obtain the reference technical indicator. Specifically, after obtaining the second target difference, according to the previously established first mapping relationship, the technical indicator corresponding to the second target difference is determined, and this is used as the reference technical indicator of the power supply system.

[0081] It can be seen that when the first target difference is greater than or equal to the difference threshold, introducing the power supply efficiency difference and the distributed energy penetration difference for further adjustment can comprehensively evaluate the power supply system from more dimensions. It not only considers the basic power consumption reliability value, power supply capacity and power supply efficiency, but also incorporates the distributed energy penetration rate, an indicator reflecting the energy structure and sustainability, making the evaluation more in line with the actual operation of the power supply system and avoiding the one-sidedness brought by evaluating based on only one or some indicators. With the development of the energy field, the importance of distributed energy is becoming increasingly prominent. Incorporating the distributed energy penetration rate into the evaluation system helps guide the power supply system to increase the access and utilization of distributed energy, promote the development of the energy structure towards a cleaner and more sustainable direction, and conforms to the general trend and policy requirements of energy transformation.

[0082] It should be explained that the determination method of the reference technical indicators corresponding to each power supply system in the n power supply systems is the same as that of the reference technical indicators corresponding to the first power supply system. Therefore, according to the determination method of the reference technical indicators corresponding to the first power supply system, the reference technical indicators corresponding to each power supply system in the n power supply systems can be determined, and thus n reference technical indicators can be obtained.

[0083] S103: Determine the target technical indicators corresponding to the target distribution network based on the n reference technical indicators.

[0084] In this embodiment, the target technical indicators corresponding to the target distribution network can be determined by the average value method. Specifically, calculate the arithmetic average of the n reference technical indicators, add up the reference technical indicators of each power supply system, and then divide by the number n of power supply systems. This method is simple and intuitive and can reflect the overall average level. For example, if the reference technical indicator is the value of power supply reliability, the average power supply reliability degree of the target distribution network within the preset time period can be understood through the average value. Different weights can also be assigned according to the importance or scale of each power supply system, and the weighted average value can be calculated. For example, a higher weight is given to the power supply system undertaking important loads, and then the weighted average value is calculated as the target technical indicator, so as to more reasonably consider the influence of different power supply systems on the overall distribution network.

[0085] The target technical indicators corresponding to the target distribution network can also be determined by the comprehensive evaluation method. Specifically, establish a comprehensive evaluation model, use the n reference technical indicators as input variables, and perform comprehensive calculations through a certain mathematical model or algorithm to obtain a comprehensive target technical indicator. The principal component analysis method can also be used to perform dimensionality reduction processing on multiple reference technical indicators, extract a few principal components, which can reflect most of the information of the original indicators, and then calculate the comprehensive score according to the contribution rate of the principal components as the target technical indicators of the target distribution network.

[0086] The target technical indicators corresponding to the target distribution network can also be determined by the extreme value method. Specifically, the maximum or minimum value among the n reference technical indicators is selected as the target technical indicator. This method is more applicable when focusing on the extreme situation of a certain technical performance of the distribution network. For example, if the worst-case power supply efficiency in the distribution network is of concern, the minimum value of the power supply efficiency corresponding to the n reference technical indicators can be selected as the target technical indicator to understand the lowest level of the distribution network in this regard.

[0087] The target technical indicators corresponding to the target distribution network can also be determined by the classification and summarization method. Specifically, if the reference technical indicators can be classified, such as into categories of power supply reliability, power quality, equipment operation status, etc., the indicators within each category can be first summarized or averaged to obtain the comprehensive indicators of each category, and then these category indicators can be further comprehensively processed, such as weighted summation, etc., to determine the target technical indicators of the target distribution network. This can more clearly understand the performance of the distribution network in different technical aspects and comprehensively consider various factors to obtain the overall technical indicators.

[0088] S104: Obtain the net present value corresponding to the target distribution network within the preset time period.

[0089] In this embodiment, the net present value refers to the sum of the present values of the net cash flows of the project in each year discounted to the investment starting point at a set discount rate (usually the industry benchmark yield or the required rate of return required by the investor) during the project calculation period. The net present value takes into account the time value of funds. By discounting the net cash flows in future years to the current moment, it can intuitively reflect the actual benefits brought by the target distribution network project to the investor during the entire preset time period. If the net present value is greater than zero, it indicates that the project is economically feasible and can create value for the investor. The larger the net present value, the higher the investment value of the project, which helps the investor compare and screen among multiple distribution network projects or investment plans and preferentially select projects with high net present values, thereby achieving the optimal allocation of resources. The net present value takes into account all cash inflows and outflows during the entire preset time period of the project, including initial investment, operating costs, maintenance costs, revenues, etc., and comprehensively reflects the total life cycle costs and benefits of the target distribution network project.

[0090] S105: Determine the target economic indicators corresponding to the net present value.

[0091] In this embodiment, please refer to Figure 5 , Figure 5 is a flowchart for determining the target economic indicators provided by the embodiment of the present application, including but not limited to the following steps:

[0092] S501: Obtain the second mapping relationship between the net present value and the economic indicators.

[0093] In this embodiment, the net present value is an important indicator for measuring the economic value of a project. It takes into account the time value of money and reflects the cash flow situation of the project throughout its life cycle. The economic indicators are a series of indicators used to evaluate the economic effects of a project, such as the internal rate of return, the investment payback period, the investment profit rate, etc. This sentence means to find the corresponding relationship between the net present value and these economic indicators so as to infer or determine the values of other economic indicators through the net present value. This mapping relationship may be established through methods such as mathematical models, statistical analysis, or industry experience.

[0094] S502: Determine the first reference economic indicator corresponding to the net present value based on the second mapping relationship.

[0095] In this embodiment, after establishing the second mapping relationship between the net present value and the economic indicators, the net present value corresponding to the target distribution network within the preset time period can be substituted into it according to this relationship, so as to obtain an economic indicator value corresponding to it. Here, it is called the first reference economic indicator. This indicator is preliminarily determined based on the net present value and the mapping relationship and may need to be further adjusted to more accurately reflect the economic characteristics of the target distribution network.

[0096] S503: Obtain the increased revenue from the improvement of power supply utilization rate, the increased revenue from the improvement of power supply efficiency, and the increased revenue from the improvement of power supply reliability of the target distribution network within the preset time period.

[0097] In this embodiment, during the operation of the target distribution network, through some technical improvements or management measures, it may bring about an increase in power supply utilization rate, an improvement in power supply efficiency, and an enhancement in power supply reliability. And these improvements will bring corresponding economic benefits. This sentence is to calculate or obtain the specific revenue values brought about by the increase in power supply utilization rate, the improvement in power supply efficiency, and the increase in power supply reliability within the preset time period respectively. For example, the increase in power supply utilization rate may enable more electric energy to be effectively supplied, thus increasing the electricity sales revenue. The improvement in power supply efficiency may reduce the losses during the power supply process and save costs. The increase in power supply reliability reduces the number and duration of power outages, reduces the losses brought to users by power outages, and may also improve the satisfaction of users with power supply services, thereby bringing potential revenue.

[0098] It can be seen that the revenue from the improvement of power supply utilization rate can reflect the optimization effect of the distribution network in power supply. The revenue from the improvement of power supply efficiency reflects the economic benefits brought by loss reduction. The revenue from the improvement of power supply reliability quantifies the economic significance of reducing power outages for users and grid operators. This not only helps to comprehensively and meticulously understand the economic effectiveness of the distribution network operation, provides accurate economic data support for decision-making, and clarifies the revenue situations of various aspects, but also enables power enterprises to identify the aspects with greater impact on economic benefits, so as to take targeted measures for optimization. With the development of social economy, users have higher and higher requirements for the quality and reliability of power supply. Obtaining these revenue data can prompt power enterprises to pay more attention to user needs, continuously improve the power supply service level, meet the social demand for high-quality power, and is also conducive to building a harmonious power supply and consumption relationship.

[0099] S504: Determine a first adjustment parameter corresponding to the revenue from the improvement of power supply utilization rate, a second adjustment parameter corresponding to the revenue from the improvement of power supply efficiency, and a third adjustment parameter corresponding to the revenue from the improvement of power supply reliability.

[0100] In this embodiment, it can be the mapping relationship between the preset revenue from the improvement of power supply utilization rate and the adjustment parameter. Based on this mapping relationship, the first adjustment parameter corresponding to the revenue from the improvement of power supply utilization rate can be determined. It can be the mapping relationship between the preset revenue from the improvement of power supply efficiency and the adjustment parameter. Based on this mapping relationship, the second adjustment parameter corresponding to the revenue from the improvement of power supply efficiency can be determined. It can be the mapping relationship between the preset revenue from the improvement of power supply reliability and the adjustment parameter. Based on this mapping relationship, the third adjustment parameter corresponding to the revenue from the improvement of power supply reliability can be determined.

[0101] S505: Adjust the first reference economic index based on the first adjustment parameter, the second adjustment parameter, and the third adjustment parameter to obtain the target economic index.

[0102] In this embodiment, the target economic index is specifically calculated according to the following formula:

[0103] Target economic index = First reference economic index × (1 + First adjustment parameter) × (1 + Second adjustment parameter) × (1 + Third adjustment parameter);

[0104] According to the above formula, the first reference economic index can be adjusted based on the first adjustment parameter, the second adjustment parameter, and the third adjustment parameter to obtain the target economic index.

[0105] It can be seen that the net present value is an important indicator for project economic evaluation, reflecting the profitability of a project throughout its life cycle. By obtaining the mapping relationship between the net present value and economic indicators to determine the first reference economic indicator, the economic characteristics of the target distribution network can be initially grasped as a whole. On this basis, further considering specific indicators such as the revenue increase from improved power supply utilization rate, the revenue increase from improved power supply efficiency, and the revenue increase from improved power supply reliability can more precisely and comprehensively reflect the impact of various aspects of the distribution network on economic indicators during actual operation, avoiding the one-sidedness of relying solely on the single indicator of net present value. Defining the adjustment parameters corresponding to each revenue and adjusting the first reference economic indicator accordingly helps to accurately quantify the contribution degree of different factors to the target economic indicator. The operation of the distribution network is affected by various factors, and its economic characteristics are relatively complex. By comprehensively considering multiple revenues and their corresponding adjustment parameters to determine the target economic indicator, it can better adapt to the complex and changeable operating environment of the distribution network. Whether it is the change in power supply utilization rate, power supply efficiency, or power supply reliability caused by factors such as market demand changes, technological progress, or policy adjustments, it can be promptly and accurately reflected in the target economic indicator, enabling power enterprises to flexibly adjust their strategies according to actual situations and maintain good economic benefits.

[0106] It should be noted that before obtaining the revenue increase from improved power supply utilization rate, the revenue increase from improved power supply efficiency, and the revenue increase from improved power supply reliability of the target distribution network during the preset time period, it is also necessary to obtain the load data of the flexible DC distribution network system during the preset time period. These data include the power load information of each part of the distribution network system, such as the power consumption of different regions and different user types, which serve as the basis for subsequent analysis.

[0107] Exemplarily, the preset time period is divided into k time periods, where k is an integer greater than 1. The purpose of this is to more precisely analyze the operation of the distribution network at different times because the load may vary significantly at different times. After division, these changes can be more accurately captured.

[0108] Exemplarily, based on the load data, the load rate corresponding to each of the k time periods of the flexible DC distribution network system is determined, obtaining k load rates. Specifically, for each divided time period, the load rate during that period is calculated according to the collected load data. The load rate refers to the ratio of the actual load to the rated load, which reflects the load level of the distribution network during that time period. By calculating the load rates corresponding to each of the k time periods, the working intensity of the distribution network at different times can be understood.

[0109] Exemplarily, determine the unbalance degree corresponding to the flexible DC distribution network system based on the k load rates. Specifically, use the k load rates obtained previously to calculate the unbalance degree of the distribution network system. The unbalance degree is an index to measure the unevenness of the load distribution among the phases in the distribution network. The calculation method may involve the analysis of the differences in the load rates of each phase. For example, the unbalance degree can be represented by calculating the standard deviation of the load rates of each phase or other relevant statistics, which can reflect whether there is a three-phase load imbalance in the distribution network during operation.

[0110] Exemplarily, when the unbalance degree is greater than the unbalance degree threshold, determine the target fine-tuning factor corresponding to the unbalance degree. Specifically, it can be a preset mapping relationship between the unbalance degree and the fine-tuning factor. Based on this mapping relationship, the target fine-tuning factor corresponding to the unbalance degree can be determined.

[0111] Exemplarily, adjust the first reference economic index based on the target fine-tuning factor to obtain the target economic index. Specifically, calculate the target economic index according to the following formula:

[0112] Target economic index = First reference economic index × (1 + Target fine-tuning factor);

[0113] According to the above formula, the first reference economic index can be adjusted based on the target fine-tuning factor to obtain the target economic index.

[0114] Exemplarily, when the unbalance degree is less than or equal to the unbalance degree threshold, perform the steps of obtaining the power supply utilization rate improvement benefit, power supply efficiency improvement benefit, and power consumption reliability improvement benefit of the target distribution network during the preset time period.

[0115] It can be seen that by obtaining the load data within a preset time period and dividing it into multiple time periods, calculating the load rate of each time period, the load change situation of the flexible DC distribution network system at different times can be understood more carefully. Based on the load rates of multiple time periods to determine the imbalance degree of the system, the uneven degree of load distribution of each phase in the distribution network can be accurately measured. The imbalance degree is an important indicator reflecting the operation stability and economy of the distribution network. Accurately evaluating it helps to timely discover potential operation problems, such as equipment overload and increased loss caused by unbalanced three-phase current. When the imbalance degree is greater than the threshold, determining the target fine-tuning factor and adjusting the first reference economic indicator accordingly can take into account the impact of load imbalance on the economic indicator, making the economic indicator more in line with the actual operation condition of the distribution network. This targeted adjustment can more accurately reflect the economic performance of the distribution network in the unbalanced operation state, providing a more reliable basis for optimizing the operation and investment decision of the distribution network. When the imbalance degree is within a reasonable range, perform steps such as obtaining the revenue increase of power supply utilization rate, the revenue increase of power supply efficiency, and the revenue increase of power consumption reliability, etc., and comprehensively consider and adjust and optimize the economic indicator from multiple aspects. This makes the determination of the target economic indicator more comprehensive, not only considering the load balance factor, but also covering important aspects such as power supply quality and efficiency, and can more comprehensively evaluate the economic performance of the distribution network.

[0116] S106: Determine the technical and economic indicator corresponding to the target distribution network based on the target technical indicator and the target economic indicator.

[0117] In this embodiment, please refer to Figure 6 , Figure 6 which is a flowchart for determining the technical and economic indicator provided by the embodiment of the present application, including but not limited to the following steps:

[0118] S601: Determine the fourth reference weight corresponding to the target technical indicator and the fifth reference weight corresponding to the target economic indicator.

[0119] In this embodiment, the sum of the fourth reference weight and the fifth reference weight is 1. It can be a preset mapping relationship between the technical indicator and the reference weight. Based on this mapping relationship, the fourth reference weight corresponding to the target technical indicator and the fifth reference weight corresponding to the target economic indicator can be determined.

[0120] S602: Obtain the important load value corresponding to the target distribution network.

[0121] In this embodiment, different loads have different importance to the distribution network. Important loads usually refer to those loads that have a key impact on social production, life, and public services, such as hospitals, transportation hubs, and important industrial enterprises. Understanding the situation of important loads in the target distribution network can clarify the key tasks and protection priorities borne by the distribution network. By determining the adjustment parameters corresponding to the important load value, the fourth reference weight is then adjusted to obtain the fourth weight, and based on this, the fifth weight is determined. The larger the important load value, the more key loads there are in the distribution network, and the higher the requirements for technical indicators may be. Accordingly, the weight of technical indicators needs to be increased to highlight the importance of technical indicators in evaluating technical and economic indicators. This can make the evaluation results more in line with the actual operation requirements of the distribution network and ensure that important loads can obtain reliable power supply guarantees.

[0122] S603: Determine the adjustment parameter corresponding to the important load value.

[0123] In this embodiment, it can be the mapping relationship between the preset important load value and the adjustment parameter. Based on this mapping relationship, the adjustment parameter corresponding to the important load value can be determined.

[0124] S604: Adjust the fourth reference weight based on the adjustment parameter to obtain the fourth weight.

[0125] In this embodiment, the fourth weight is specifically calculated according to the following formula:

[0126] Fourth weight = Fourth reference weight × Adjustment parameter;

[0127] According to the above formula, the fourth reference weight can be adjusted based on the adjustment parameter to obtain the fourth weight.

[0128] S605: Determine the fifth weight based on the fourth weight.

[0129] In this embodiment, the sum of the fourth weight and the fifth weight is 1. Since the sum of the fourth weight and the fifth weight is 1, after determining the fourth weight, the fifth weight can be determined based on the fourth weight.

[0130] S606: Calculate based on the target technical indicator, the target economic indicator, the fourth weight, and the fifth weight to obtain the technical and economic indicator corresponding to the target distribution network.

[0131] In this embodiment, the technical and economic indicator is specifically calculated according to the following formula:

[0132] Technical and economic indicator = Target technical indicator × Fourth weight + Target economic indicator × Fifth weight;

[0133] Based on the above formula, calculations can be performed based on the target technical indicators, the target economic indicators, the fourth weight, and the fifth weight to obtain the technical and economic indicators corresponding to the target distribution network.

[0134] It can be seen that different distribution networks have different important loads and different requirements for technology and economy. Considering the important load value can adjust the weights according to the specific situation of the distribution network, making the technical and economic indicators more accurately reflect the comprehensive technical and economic performance of the distribution network in actual operation. Important loads usually have higher requirements for technical indicators such as power supply reliability and stability. By adjusting the weights through the important load value, a more practical balance point can be found between technical indicators and economic indicators, avoiding simply pursuing economic indicators and ignoring the impact of technical indicators on important loads, or overemphasizing technical indicators and resulting in excessive economic costs. After clarifying the important load value, resources can be reasonably allocated according to its impact on the weights of technical and economic indicators. For distribution networks with more important loads, appropriate investments can be increased in aspects such as technical improvement and equipment upgrading to ensure reliable power supply for important loads. For distribution networks with fewer important loads, economic factors can be considered more under the premise of ensuring basic power supply quality, optimizing resource allocation, and improving resource utilization efficiency.

[0135] In summary, implementing the embodiments of the present invention has the following beneficial effects:

[0136] It can be seen that in the distribution network technical and economic evaluation method described in the embodiments of the present invention, the technical characteristic parameters corresponding to each power supply system in the n power supply systems corresponding to the target distribution network within a preset time period are obtained, and n sets of technical characteristic parameters are obtained. Based on the n sets of technical characteristic parameters, the reference technical indicators corresponding to each power supply system in the n power supply systems are determined, and n reference technical indicators are obtained. Each set of technical characteristic parameters corresponds to a reference technical indicator. Based on the n reference technical indicators, the target technical indicators corresponding to the target distribution network are determined. The net present value corresponding to the target distribution network within the preset time period is obtained, and the target economic indicator corresponding to the net present value is determined. Based on the target technical indicator and the target economic indicator, the technical and economic indicators corresponding to the target distribution network are determined, improving the accuracy of evaluating the technical and economic performance of the distribution network in a flexible interconnection scenario.

[0137] Please refer to Figure 7 , Figure 7 which is a schematic structural diagram of a distribution network technical and economic evaluation device provided by an embodiment of the present application. The distribution network technical and economic evaluation device includes: an acquisition unit 701 and a processing unit 702;

[0138] The obtaining unit 701 is configured to obtain technical characteristic parameters corresponding to each of the n power supply systems of the target distribution network within a preset time period, so as to obtain n groups of technical characteristic parameters; n is an integer greater than 1;

[0139] The processing unit 702 is configured to determine reference technical indexes corresponding to each of the n power supply systems based on the n groups of technical characteristic parameters, so as to obtain n reference technical indexes; each group of technical characteristic parameters corresponds to one reference technical index;

[0140] Determine the target technical index corresponding to the target distribution network based on the n reference technical indexes;

[0141] Obtain the net present value corresponding to the target distribution network within the preset time period;

[0142] Determine the target economic index corresponding to the net present value;

[0143] Determine the technical and economic index corresponding to the target distribution network based on the target technical index and the target economic index.

[0144] In some possible implementation manners, in terms of determining reference technical indexes corresponding to each of the n power supply systems based on the n groups of technical characteristic parameters, so as to obtain n reference technical indexes, the processing unit 702 is specifically configured to:

[0145] Determine the power supply reliability value, power supply capacity, and power supply efficiency corresponding to the first power supply system in the first technical characteristic parameters, so as to obtain the first power supply reliability value, the first power supply capacity, and the first power supply efficiency; the first technical characteristic parameters are any group of the n groups of technical characteristic parameters, and the first power supply system is the power supply system corresponding to the first technical characteristic parameters among the n power supply systems;

[0146] Determine the power supply reliability value difference between the first power supply reliability value and the preset power supply reliability value, the power supply capacity difference between the first power supply capacity and the preset power supply capacity, and the power supply efficiency difference between the first power supply efficiency and the preset power supply efficiency;

[0147] Determine a first weight corresponding to the power supply reliability value difference, a second weight corresponding to the power supply capacity difference, and a third weight corresponding to the power supply efficiency difference; the sum of the first weight, the second weight, and the third weight is 1;

[0148] Perform calculations based on the power supply reliability value difference, the power supply capacity difference, the power supply efficiency difference, the first weight, the second weight, and the third weight to obtain a first target difference;

[0149] Determine the reference technical index corresponding to the first power supply system based on the first target difference.

[0150] In some possible implementation manners, in determining the first weight corresponding to the difference in power consumption reliability value, the second weight corresponding to the difference in power supply capacity, and the third weight corresponding to the difference in power supply efficiency, the processing unit 702 is specifically configured to:

[0151] Determine a first reference weight corresponding to the difference in power consumption reliability value, a second reference weight corresponding to the difference in power supply capacity, and a third reference weight corresponding to the difference in power supply efficiency; the sum of the first reference weight, the second reference weight, and the third reference weight is 1;

[0152] Obtain the load value of the first power supply system;

[0153] Determine a first optimization factor corresponding to the load value;

[0154] Optimize the first reference weight based on the first optimization factor to obtain the first weight;

[0155] Obtain the transmission line length between the first power supply system and the power source point of the first power supply system;

[0156] Determine a second optimization factor corresponding to the transmission line length;

[0157] Optimize the second reference weight based on the second optimization factor to obtain the second weight;

[0158] Determine the third weight corresponding to the third reference weight based on the first weight and the second weight.

[0159] In some possible implementation manners, in determining the reference technical index corresponding to the first power supply system based on the first target difference, the processing unit 702 is specifically configured to:

[0160] Obtain a first mapping relationship between the difference and the technical index;

[0161] When the first target difference is less than the difference threshold, determine the technical index corresponding to the first target difference based on the first mapping relationship to obtain the reference technical index;

[0162] When the first target difference is greater than or equal to the difference threshold, determine the first power supply efficiency and the first distributed energy penetration rate corresponding to the first power supply system in the first technical characteristic parameters;

[0163] Determine the power supply efficiency difference between the first power supply efficiency and the preset power supply efficiency, and the distributed energy penetration difference between the first distributed energy penetration and the preset distributed energy penetration;

[0164] Adjust the first target difference based on the power supply efficiency difference and the energy penetration difference to obtain a second target difference;

[0165] Determine the technical index corresponding to the second target difference based on the first mapping relationship to obtain the reference technical index.

[0166] In some possible implementation manners, when determining the target economic index corresponding to the net present value, the processing unit 702 is specifically configured to:

[0167] Obtain a second mapping relationship between the net present value and the economic index;

[0168] Determine a first reference economic index corresponding to the net present value based on the second mapping relationship;

[0169] Obtain the power supply utilization rate improvement benefit, the power supply efficiency improvement benefit, and the power consumption reliability improvement benefit of the target distribution network during the preset time period;

[0170] Determine a first adjustment parameter corresponding to the power supply utilization rate improvement benefit, a second adjustment parameter corresponding to the power supply efficiency improvement benefit, and a third adjustment parameter corresponding to the power consumption reliability improvement benefit;

[0171] Adjust the first reference economic index based on the first adjustment parameter, the second adjustment parameter, and the third adjustment parameter to obtain the target economic index.

[0172] In some possible implementation manners, before obtaining the power supply utilization rate improvement benefit, the power supply efficiency improvement benefit, and the power consumption reliability improvement benefit of the target distribution network during the preset time period, the processing unit 702 is specifically configured to:

[0173] Obtain the load data of the flexible DC distribution network system during the preset time period;

[0174] Divide the preset time period into k time periods; k is an integer greater than 1;

[0175] Determine the load factor corresponding to each time period within the k time periods of the flexible DC distribution network system based on the load data to obtain k load factors;

[0176] Determine the unbalance degree corresponding to the flexible DC distribution network system based on the k load factors;

[0177] When the degree of imbalance is greater than the imbalance threshold, determine a target fine-tuning factor corresponding to the degree of imbalance;

[0178] Adjust the first reference economic index based on the target fine-tuning factor to obtain the target economic index;

[0179] When the degree of imbalance is less than or equal to the imbalance threshold, perform the step of obtaining the power supply utilization improvement benefit, power supply efficiency improvement benefit, and power consumption reliability improvement benefit of the target distribution network within the preset time period.

[0180] In some possible implementation manners, in determining the technical and economic index corresponding to the target distribution network based on the target technical index and the target economic index, the processing unit 702 is specifically configured to:

[0181] Determine a fourth reference weight corresponding to the target technical index and a fifth reference weight corresponding to the target economic index; the sum of the fourth reference weight and the fifth reference weight is 1;

[0182] Obtain the important load value corresponding to the target distribution network;

[0183] Determine an adjustment parameter corresponding to the important load value;

[0184] Adjust the fourth reference weight based on the adjustment parameter to obtain a fourth weight;

[0185] Determine a fifth weight based on the fourth weight; the sum of the fourth weight and the fifth weight is 1;

[0186] Perform calculations based on the target technical index, the target economic index, the fourth weight, and the fifth weight to obtain the technical and economic index corresponding to the target distribution network.

[0187] Please refer to Figure 8 , Figure 8 which is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As Figure 8 shown, the electronic device 800 includes a transceiver 801, a processor 802, and a memory 803. They are connected through a bus 804. The memory 803 is used to store computer programs and data, and the transceiver 801 can transmit the data stored in the memory 803 to the processor 802. The above program includes instructions for performing the following steps:

[0188] Obtain technical characteristic parameters corresponding to each power supply system in the n power supply systems corresponding to the target distribution network within a preset time period to obtain n sets of technical characteristic parameters; n is an integer greater than 1;

[0189] Determine the reference technical indicators corresponding to each power supply system in the n power supply systems based on the n sets of technical characteristic parameters, and obtain n reference technical indicators; each set of technical characteristic parameters corresponds to one reference technical indicator;

[0190] Determine the target technical indicators corresponding to the target distribution network based on the n reference technical indicators;

[0191] Obtain the net present value corresponding to the target distribution network within the preset time period;

[0192] Determine the target economic indicator corresponding to the net present value;

[0193] Determine the technical and economic indicators corresponding to the target distribution network based on the target technical indicators and the target economic indicators.

[0194] In some possible implementation manners, in terms of determining the reference technical indicators corresponding to each power supply system in the n power supply systems based on the n sets of technical characteristic parameters and obtaining n reference technical indicators, the above program includes instructions for performing the following steps:

[0195] Determine the power supply reliability value, power supply capacity, and power supply efficiency corresponding to the first power supply system in the first set of technical characteristic parameters, and obtain the first power supply reliability value, the first power supply capacity, and the first power supply efficiency; the first set of technical characteristic parameters is any one of the n sets of technical characteristic parameters, and the first power supply system is the power supply system corresponding to the first set of technical characteristic parameters among the n power supply systems;

[0196] Determine the difference in power supply reliability value between the first power supply reliability value and the preset power supply reliability value, the difference in power supply capacity between the first power supply capacity and the preset power supply capacity, and the difference in power supply efficiency between the first power supply efficiency and the preset power supply efficiency;

[0197] Determine the first weight corresponding to the difference in power supply reliability value, the second weight corresponding to the difference in power supply capacity, and the third weight corresponding to the difference in power supply efficiency; the sum of the first weight, the second weight, and the third weight is 1;

[0198] Perform calculations based on the difference in power supply reliability value, the difference in power supply capacity, the difference in power supply efficiency, the first weight, the second weight, and the third weight to obtain a first target difference;

[0199] Determine the reference technical indicator corresponding to the first power supply system based on the first target difference.

[0200] In some possible embodiments, in determining the first weight corresponding to the difference in the power consumption reliability value, the second weight corresponding to the difference in the power supply capacity, and the third weight corresponding to the difference in the power supply efficiency, the above program includes instructions for performing the following steps:

[0201] Determine a first reference weight corresponding to the difference in the power consumption reliability value, a second reference weight corresponding to the difference in the power supply capacity, and a third reference weight corresponding to the difference in the power supply efficiency; the sum of the first reference weight, the second reference weight, and the third reference weight is 1;

[0202] Obtain the load value of the first power supply system;

[0203] Determine a first optimization factor corresponding to the load value;

[0204] Optimize the first reference weight based on the first optimization factor to obtain the first weight;

[0205] Obtain the transmission line length between the first power supply system and the power source point of the first power supply system;

[0206] Determine a second optimization factor corresponding to the transmission line length;

[0207] Optimize the second reference weight based on the second optimization factor to obtain the second weight;

[0208] Determine the third weight corresponding to the third reference weight based on the first weight and the second weight.

[0209] In some possible embodiments, in determining the reference technical index corresponding to the first power supply system based on the first target difference, the above program includes instructions for performing the following steps:

[0210] Obtain a first mapping relationship between the difference and the technical index;

[0211] When the first target difference is less than the difference threshold, determine the technical index corresponding to the first target difference based on the first mapping relationship to obtain the reference technical index;

[0212] When the first target difference is greater than or equal to the difference threshold, determine the first power supply efficiency and the first distributed energy penetration rate corresponding to the first power supply system in the first technical characteristic parameters;

[0213] Determine the power supply efficiency difference between the first power supply efficiency and the preset power supply efficiency, and the distributed energy penetration rate difference between the first distributed energy penetration rate and the preset distributed energy penetration rate;

[0214] Adjust the first target difference based on the power supply efficiency difference and the energy penetration difference to obtain a second target difference;

[0215] Determine the technical index corresponding to the second target difference based on the first mapping relationship to obtain the reference technical index.

[0216] In some possible implementation manners, in determining the target economic index corresponding to the net present value, the above procedure includes instructions for performing the following steps:

[0217] Obtain a second mapping relationship between the net present value and the economic index;

[0218] Determine a first reference economic index corresponding to the net present value based on the second mapping relationship;

[0219] Obtain the revenue from improving the power supply utilization rate, the revenue from improving the power supply efficiency, and the revenue from improving the power consumption reliability of the target distribution network within the preset time period;

[0220] Determine a first adjustment parameter corresponding to the revenue from improving the power supply utilization rate, a second adjustment parameter corresponding to the revenue from improving the power supply efficiency, and a third adjustment parameter corresponding to the revenue from improving the power consumption reliability;

[0221] Adjust the first reference economic index based on the first adjustment parameter, the second adjustment parameter, and the third adjustment parameter to obtain the target economic index.

[0222] In some possible implementation manners, before obtaining the revenue from improving the power supply utilization rate, the revenue from improving the power supply efficiency, and the revenue from improving the power consumption reliability of the target distribution network within the preset time period, the above procedure includes instructions for performing the following steps:

[0223] Obtain the load data of the flexible DC distribution network system within the preset time period;

[0224] Divide the preset time period into k time periods; k is an integer greater than 1;

[0225] Determine the load factor corresponding to each time period within the k time periods of the flexible DC distribution network system based on the load data to obtain k load factors;

[0226] Determine the unbalance degree corresponding to the flexible DC distribution network system based on the k load factors;

[0227] When the unbalance degree is greater than the unbalance degree threshold, determine the target fine-tuning factor corresponding to the unbalance degree;

[0228] Adjust the first reference economic index based on the target fine-tuning factor to obtain the target economic index;

[0229] When the unbalance degree is less than or equal to the unbalance degree threshold, execute the steps of obtaining the power supply utilization improvement benefit, power supply efficiency improvement benefit, and power consumption reliability improvement benefit of the target distribution network within the preset time period.

[0230] In some possible implementation manners, in terms of determining the technical and economic index corresponding to the target distribution network based on the target technical index and the target economic index, the above program includes instructions for performing the following steps:

[0231] Determine the fourth reference weight corresponding to the target technical index and the fifth reference weight corresponding to the target economic index; the sum of the fourth reference weight and the fifth reference weight is 1;

[0232] Obtain the important load value corresponding to the target distribution network;

[0233] Determine the adjustment parameter corresponding to the important load value;

[0234] Adjust the fourth reference weight based on the adjustment parameter to obtain the fourth weight;

[0235] Determine the fifth weight based on the fourth weight; the sum of the fourth weight and the fifth weight is 1;

[0236] Perform calculations based on the target technical index, the target economic index, the fourth weight, and the fifth weight to obtain the technical and economic index corresponding to the target distribution network.

[0237] It should be understood that the electronic devices in this application may include a distribution network technical and economic evaluation device, a smart phone (such as an Android phone, an iOS phone, a Windows Phone), a tablet computer, a palm computer, a notebook computer, a mobile Internet device MID (Mobile Internet Devices), or a wearable device, or a server, an edge computing node, etc. The above electronic devices are only examples, not an exhaustive list, and include but are not limited to the above electronic devices.

[0238] An embodiment of this application also provides a computer-readable storage medium, on which a computer program is stored. The computer program is executed by a processor to implement some or all of the steps of any one of the distribution network technical and economic evaluation methods recorded in the above method embodiments.

[0239] The embodiments of the present application also provide a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program. The computer program is operable to cause a computer to execute some or all of the steps of any one of the distribution network technical and economic evaluation methods described in the above method embodiments.

[0240] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present application is not limited by the described action sequence, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0241] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0242] In several embodiments provided by the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there can be other division methods. 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 displayed or discussed mutual coupling or direct coupling or communication connection can be through some interfaces. The indirect coupling or communication connection of devices or units can be in an electrical or other form.

[0243] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0244] In addition, the functional units in the various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software program modules.

[0245] When the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of various embodiments of this application. The aforementioned memory includes: various media such as USB flash drives, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), external hard drives, magnetic disks, or optical discs that can store program codes.

[0246] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. This program can be stored in a computer-readable memory, and the memory can include: flash drives, read-only memories (English: Read-Only Memory, abbreviated: ROM), random access memories (English: Random Access Memory, abbreviated: RAM), magnetic disks, or optical discs, etc.

[0247] The above has introduced the embodiments of this application in detail. Specific examples are used in this article to elaborate on the principles and embodiments of this application. The description of the above embodiments is only used to help understand the method and its core idea of this application; at the same time, for those of ordinary skill in the art, according to the idea of this application, there will be changes in the specific embodiments and application scopes. In summary, the content of this specification should not be construed as a limitation to this application.

Claims

1. A technical and economic evaluation method for a distribution network, characterized in that Applied to a flexible DC distribution network system, the method includes: Obtaining technical characteristic parameters corresponding to each of the n power supply systems of the target distribution network within a preset time period, to obtain n sets of technical characteristic parameters; n is an integer greater than 1; Based on the n sets of technical characteristic parameters, determining reference technical indexes corresponding to each of the n power supply systems, to obtain n reference technical indexes; each set of technical characteristic parameters corresponds to one reference technical index; Based on the n reference technical indexes, determining a target technical index corresponding to the target distribution network; Obtaining the net present value corresponding to the target distribution network within the preset time period; Determining a target economic index corresponding to the net present value; Based on the target technical index and the target economic index, determining a technical and economic index corresponding to the target distribution network.

2. The method according to claim 1, wherein The determining reference technical indexes corresponding to each of the n power supply systems based on the n sets of technical characteristic parameters, to obtain n reference technical indexes, includes: Determining the power supply reliability value, power supply capacity, and power supply efficiency corresponding to the first power supply system in the first set of technical characteristic parameters, to obtain a first power supply reliability value, a first power supply capacity, and a first power supply efficiency; the first set of technical characteristic parameters is any one of the n sets of technical characteristic parameters, and the first power supply system is the power supply system corresponding to the first set of technical characteristic parameters among the n power supply systems; Determining the difference in power supply reliability value between the first power supply reliability value and a preset power supply reliability value, the difference in power supply capacity between the first power supply capacity and a preset power supply capacity, and the difference in power supply efficiency between the first power supply efficiency and a preset power supply efficiency; Determining a first weight corresponding to the difference in power supply reliability value, a second weight corresponding to the difference in power supply capacity, and a third weight corresponding to the difference in power supply efficiency; the sum of the first weight, the second weight, and the third weight is 1; Calculating based on the difference in power supply reliability value, the difference in power supply capacity, the difference in power supply efficiency, the first weight, the second weight, and the third weight, to obtain a first target difference; Based on the first target difference, determining the reference technical index corresponding to the first power supply system.

3. The method according to claim 2, wherein The determining the first weight corresponding to the difference in power supply reliability value, the second weight corresponding to the difference in power supply capacity, and the third weight corresponding to the difference in power supply efficiency, includes: Determining a first reference weight corresponding to the difference in power supply reliability value, a second reference weight corresponding to the difference in power supply capacity, and a third reference weight corresponding to the difference in power supply efficiency; the sum of the first reference weight, the second reference weight, and the third reference weight is 1; Obtaining the load value of the first power supply system; Determining a first optimization factor corresponding to the load value; Based on the first optimization factor, optimizing the first reference weight, to obtain the first weight; Obtaining the transmission line length between the first power supply system and the power source point of the first power supply system; Determining a second optimization factor corresponding to the transmission line length; Optimize the second reference weight based on the second optimization factor to obtain the second weight; Determine the third weight corresponding to the third reference weight based on the first weight and the second weight.

4. The method according to claim 3, characterized in that, The determining the reference technical index corresponding to the first power supply system based on the first target difference includes: Obtain the first mapping relationship between the difference and the technical index; When the first target difference is less than the difference threshold, determine the technical index corresponding to the first target difference based on the first mapping relationship to obtain the reference technical index; When the first target difference is greater than or equal to the difference threshold, determine the first power supply efficiency and the first distributed energy penetration rate corresponding to the first power supply system in the first technical characteristic parameters; Determine the power supply efficiency difference between the first power supply efficiency and the preset power supply efficiency, and the distributed energy penetration rate difference between the first distributed energy penetration rate and the preset distributed energy penetration rate; Adjust the first target difference based on the power supply efficiency difference and the energy penetration rate difference to obtain a second target difference; Determine the technical index corresponding to the second target difference based on the first mapping relationship to obtain the reference technical index.

5. The method according to claim 4, wherein The determining the target economic index corresponding to the net present value includes: Obtain the second mapping relationship between the net present value and the economic index; Determine the first reference economic index corresponding to the net present value based on the second mapping relationship; Obtain the power supply utilization rate improvement benefit, the power supply efficiency improvement benefit, and the power consumption reliability improvement benefit of the target distribution network during the preset time period; Determine the first adjustment parameter corresponding to the power supply utilization rate improvement benefit, the second adjustment parameter corresponding to the power supply efficiency improvement benefit, and the third adjustment parameter corresponding to the power consumption reliability improvement benefit; Adjust the first reference economic index based on the first adjustment parameter, the second adjustment parameter, and the third adjustment parameter to obtain the target economic index.

6. The method according to claim 5, characterized in that, Before obtaining the power supply utilization rate improvement benefit, the power supply efficiency improvement benefit, and the power consumption reliability improvement benefit of the target distribution network during the preset time period, the method further includes: Obtain the load data of the flexible DC distribution network system during the preset time period; Divide the preset time period into k time periods; k is an integer greater than 1; Determine the load rate corresponding to each time period of the flexible DC distribution network system during the k time periods based on the load data to obtain k load rates; Determine the unbalance degree corresponding to the flexible DC distribution network system based on the k load rates; When the unbalance degree is greater than the unbalance degree threshold, determine the target fine-tuning factor corresponding to the unbalance degree; Adjust the first reference economic index based on the target fine-tuning factor to obtain the target economic index; When the unbalance degree is less than or equal to the unbalance degree threshold, execute the step of obtaining the power supply utilization rate improvement benefit, the power supply efficiency improvement benefit, and the power consumption reliability improvement benefit of the target distribution network during the preset time period.

7. The method according to any one of claims 1 to 6, characterized in that Determining the technical and economic indicators corresponding to the target distribution network based on the target technical indicators and the target economic indicators includes: Determining a fourth reference weight corresponding to the target technical indicators and a fifth reference weight corresponding to the target economic indicators; the sum of the fourth reference weight and the fifth reference weight is 1; Obtaining the important load value corresponding to the target distribution network; Determining an adjustment parameter corresponding to the important load value; Adjusting the fourth reference weight based on the adjustment parameter to obtain a fourth weight; Determining a fifth weight based on the fourth weight; the sum of the fourth weight and the fifth weight is 1; Calculating based on the target technical indicators, the target economic indicators, the fourth weight and the fifth weight to obtain the technical and economic indicators corresponding to the target distribution network.

8. A technical and economic evaluation device for a distribution network, characterized in that Applied to a flexible DC distribution network system, the distribution network technical and economic evaluation device includes: an acquisition unit and a processing unit; The acquisition unit is configured to obtain technical characteristic parameters corresponding to each of the n power supply systems corresponding to the target distribution network within a preset time period, and obtain n sets of technical characteristic parameters; n is an integer greater than 1; The processing unit is configured to determine, based on the n sets of technical characteristic parameters, the reference technical indicators corresponding to each of the n power supply systems, and obtain n reference technical indicators; each set of technical characteristic parameters corresponds to one reference technical indicator; Determining the target technical indicators corresponding to the target distribution network based on the n reference technical indicators; Obtaining the net present value corresponding to the target distribution network within the preset time period; Determining the target economic indicators corresponding to the net present value; Determining the technical and economic indicators corresponding to the target distribution network based on the target technical indicators and the target economic indicators.

9. An electronic device, characterized in that, It includes a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the processor, and the one or more programs include instructions for performing the steps in the method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method according to any one of claims 1-7.

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