Transformer substation risk assessment method and device based on economic loss

Abstract

The embodiment of the invention provides a transformer substation risk assessment method and device based on economic loss. The method comprises the steps that the equipment fault risk of a transformer substation is determined according to the equipment fault probability and equipment fault loss expectation of the transformer substation; determining the power grid event risk of the transformer substation according to the power grid event probability and the power grid event loss expectation of the transformer substation; determining the direct economic loss risk of the transformer substation according to the equipment fault risk and the power grid event risk; determining the indirect economic loss risk of the transformer substation according to the power grid event risk and the kilowatt-hour output value of the region where the transformer substation is located; determining a whole station risk index of the transformer substation according to the power grid event probability, the corresponding load loss and the power transformation capacity of the transformer substation; the invention provides a whole-station economic loss risk quantitative assessment method, and aims to solve the problems of lack of whole-station risk assessment models and incomplete and inaccurate risk prediction in the prior art.

Description

Technical Field

[0001] The present application relates to the field of power grid security, and specifically to a substation risk assessment method and device based on economic losses. Background Art

[0002] With the development of power systems and the importance of substations in energy transmission, it is essential to assess the operational risks of substations. As a core component of the power system, substations undertake the key tasks of power conversion and transmission. Therefore, understanding and assessing substation risks is essential to ensure the safe and stable operation of substations.

[0003] In 2019, Feng Dawei and others used basic data such as network topology, load, and line current carrying capacity related to power grid security risks, and based on the characteristics of the distribution network directly facing the load, established a 110kV power grid security risk calculation model based on load loss risk (Feng Dawei, Yin Yunjian, Wang Zhenquan, et al. Research on comprehensive security risk assessment of 110kV power grid based on hierarchical analysis method [J]. Electrical Engineering, 2019, (08): 21-25+53). In "Reliability and risk analysis of secondary system of smart substation", Zhou Kai analyzed the reliability and risk of the secondary system of smart substation. In terms of reliability, in order to solve the problem of secondary equipment status evaluation, a smart substation secondary equipment status evaluation model and a confidence evaluation method for status evaluation results were proposed. In terms of risk, in order to solve the risk transfer problem of the secondary system, a secondary system risk assessment method based on functional correlation was proposed (Zhou Kai. Reliability and risk analysis of secondary system of smart substation [D]. Wuhan University, 2019).

[0004] In 2022, Wu Peng evaluated the main equipment of the substation through visual inspection and electrical testing, and then incorporated the adjusted average score of all main equipment into the substation bay health index, and adjusted it according to the age and operating pressure of the substation bay to evaluate the status of the substation (Wu Peng. Determination of health indicators for high-voltage substation status assessment [J]. Jiangxi Electric Power, 2022, 46(06): 16-19). Xie Qiang et al. introduced different resilience indicators and resilience assessment methods in detail, and then proposed an assessment process based on equipment seismic vulnerability and system analysis model to quantify the seismic resilience of substation systems in combination with the functional and structural characteristics of substations (Xie Qiang, Liang Huangbin, Liu Xiao, et al. Current status and prospects of research on seismic resilience of substation systems [J]. High Voltage Electrical Appliances, 2022, 58(08): 1-14). Yang Qing et al. established a secondary equipment failure probability model based on the type test and daily operation status sample data of secondary equipment (Yang Qing, Zhu Daohua. Failure risk assessment method for secondary system of smart substation [J]. Electric Power Engineering Technology, 2022, 41(02): 179-185).

[0005] In 2023, Song Hongyang took the overall renovation project of 35kV Zhangjia substation as the research object, introduced the Delphi method to identify and analyze the main risk items in the overall renovation project of 35kV Zhangjia substation and the sub-risk items involved in each risk from five aspects: finance, technology, environment, management, and society. Then, based on the risk identification results, combined with the hierarchical analysis method and matter-element extension theory, a comprehensive evaluation model was constructed, and the evaluation results were obtained through calculation. Finally, according to the risk assessment results and the actual situation of the project, the various risk factors of the overall renovation project of 35kV Zhangjia substation were divided into three risk levels: high, medium, and low, and reasonable prevention and response measures were proposed for the risk indicators involved at each level (Song Hongyang. Research on Risk Management of the Overall Renovation Project of 35kV Zhangjia Substation [D]. Harbin University of Science and Technology, 2023). Wei Xing et al. analyzed the shortcomings of the current health status monitoring of primary equipment in substations, and proposed a health status assessment and risk prediction scheme for primary equipment in substations. Corresponding health status indicators and health status levels were formulated for primary equipment such as transformers, circuit breakers, capacitors, reactors and lightning arresters in substations. The state value integration algorithm based on multiple time windows was used to perform trend analysis on the health status parameters of the equipment and provide risk prediction (Wei Xing, Li Hong, Wang Cheng, et al. Research on health status assessment and risk prediction scheme for primary equipment in substations [J]. Electrical Engineering, 2023, (08): 181-184+189). Focusing on the construction risks of a 220kV substation flood control renovation project, Cao Mengxin et al. proposed a construction risk assessment index system for a 220kV substation flood control renovation project. They used the Yaahp analytic hierarchy process software to comprehensively evaluate the construction risks of a 220kV substation flood control renovation project, providing a scientific basis for the construction of substation flood control renovation projects (Cao Mengxin, Yang Taihua. Risk Assessment and Countermeasures for Construction of Substation Flood Control Renovation Projects [J]. Green Technology, 2023, 25(10): 197-203+225).

[0006] In summary, the existing technology analyzes the overall health and risk status of the substation from the perspectives of primary and secondary equipment and the external natural environment, but lacks consideration of the comprehensive impact of primary equipment, secondary equipment, the external natural environment and power grid events on the substation. Summary of the invention

[0007] In response to the problems in the prior art, the present application provides a substation risk assessment method and device based on economic losses, which can provide a quantitative assessment method for the economic loss risk of the entire station to solve the problems of the lack of existing risk assessment models for the entire station and the incomplete and inaccurate risk prediction.

[0008] In order to solve at least one of the above problems, the present application provides the following technical solutions:

[0009] According to a first aspect of an embodiment of the present application, the present application provides a substation risk assessment method based on economic losses, comprising:

[0010] Determining the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation;

[0011] Determining the grid event risk of the substation according to the grid event probability and grid event loss expectation of the substation;

[0012] Determining the direct economic loss risk of the substation according to the equipment failure risk and the power grid event risk;

[0013] Determine the indirect economic loss risk of the substation according to the grid event risk and the kilowatt-hour output value of the area where the substation is located;

[0014] The risk index of the entire substation is determined according to the probability of the power grid event and the corresponding load loss, and the substation capacity of the substation.

[0015] According to any implementation of the present application, before determining the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation, the method further includes:

[0016] Constructing a group failure probability model of the substation based on Weibull distribution;

[0017] Determining the group failure probability of the substation according to the group failure probability model and the historical failure data of the substation;

[0018] The group failure probability model is modified based on the actual service age and equivalent service age of the equipment to obtain the single failure probability of the substation;

[0019] The device failure probability is determined according to the group failure probability and the single failure probability.

[0020] According to any implementation of the present application, before determining the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation, the method further includes:

[0021] The equipment failure loss of the substation is determined based on the historical failure data of the substation, the corresponding maintenance costs and the cost quota.

[0022] According to any embodiment of the present application, before determining the grid event risk of the substation according to the grid event probability and the grid event loss expectation of the substation, the method further includes:

[0023] The probability of a power grid event of the substation is determined according to the power grid event assessment scope of the substation, the operation mode of the power grid in which the substation is located, and the stabilization control strategy.

[0024] According to any embodiment of the present application, before determining the grid event risk of the substation according to the grid event probability and the grid event loss expectation of the substation, the method further includes:

[0025] The power grid event loss is determined according to the compliance loss and restoration cost corresponding to the power grid event.

[0026] According to any implementation manner of the present application, determining the direct economic loss risk of the substation according to the equipment failure risk and the grid event risk includes:

[0027] Determine the corresponding total risk of equipment failure according to the equipment failure risk;

[0028] Determine the corresponding total risk of power grid events according to the power grid event risk;

[0029] The sum of the total risk of equipment failure and the total risk of power grid events is determined as the direct economic loss risk of the substation.

[0030] According to any implementation of the present application, after determining the whole station risk index of the substation according to the probability of the power grid event and the corresponding load loss, and the substation capacity of the substation, it also includes:

[0031] The risk level of the substation is determined according to the whole station risk index and preset risk level classification rules.

[0032] According to a second aspect of an embodiment of the present application, the present application provides a substation risk assessment device based on economic losses, comprising:

[0033] A failure risk determination module is used to determine the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation;

[0034] An event risk determination module is used to: determine the power grid event risk of the substation according to the power grid event probability and power grid event loss expectation of the substation;

[0035] A direct risk determination module, used to: determine the direct economic loss risk of the substation according to the equipment failure risk and the power grid event risk;

[0036] An indirect risk determination module, used to: determine the indirect economic loss risk of the substation according to the grid event risk and the kilowatt-hour output value of the area where the substation is located;

[0037] The risk index determination module is used to determine the risk index of the entire substation according to the probability of the power grid event and the corresponding load loss, and the substation capacity of the substation.

[0038] According to any embodiment of the present application, a fault probability determination module is further included, which is used to:

[0039] Constructing a group failure probability model of the substation based on Weibull distribution;

[0040] Determining the group failure probability of the substation according to the group failure probability model and the historical failure data of the substation;

[0041] The group failure probability model is modified based on the actual service age and equivalent service age of the equipment to obtain the single failure probability of the substation;

[0042] The device failure probability is determined according to the group failure probability and the single failure probability.

[0043] According to any embodiment of the present application, a fault loss determination module is further included, which is used to:

[0044] The equipment failure loss of the substation is determined based on the historical failure data of the substation, the corresponding maintenance costs and the cost quota.

[0045] According to any embodiment of the present application, it also includes an event probability determination module, which is used to:

[0046] The probability of a power grid event of the substation is determined according to the power grid event assessment scope of the substation, the operation mode of the power grid in which the substation is located, and the stabilization control strategy.

[0047] According to any embodiment of the present application, a time loss determination module is further included, which is used to:

[0048] The power grid event loss is determined according to the compliance loss and restoration cost corresponding to the power grid event.

[0049] According to any implementation of the present application, the direct risk determination module is specifically used to:

[0050] Determine the corresponding total risk of equipment failure according to the equipment failure risk;

[0051] Determine the corresponding total risk of power grid events according to the power grid event risk;

[0052] The sum of the total risk of equipment failure and the total risk of power grid events is determined as the direct economic loss risk of the substation.

[0053] According to any implementation of the present application, a risk level determination module is further included, which is used to:

[0054] The risk level of the substation is determined according to the whole station risk index and preset risk level classification rules.

[0055] According to the third aspect of the embodiment of the present application, the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the substation risk assessment method based on economic losses are implemented.

[0056] According to a fourth aspect of an embodiment of the present application, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the substation risk assessment method based on economic losses.

[0057] According to a fifth aspect of the embodiments of the present application, the present application provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the substation risk assessment method based on economic losses.

[0058] It can be seen from the above technical scheme that the present application provides a substation risk assessment method and device based on economic losses, by determining the equipment failure risk of the substation according to the equipment failure probability of the substation and the expected loss of equipment failure; determining the grid event risk of the substation according to the grid event probability of the substation and the expected loss of grid event; determining the direct economic loss risk of the substation according to the equipment failure risk and the grid event risk; determining the indirect economic loss risk of the substation according to the grid event risk and the kilowatt-hour electricity output value of the area where the substation is located; determining the whole station risk index of the substation according to the grid event probability and the corresponding load loss, and the substation capacity of the substation; and providing a quantitative assessment method for the economic loss risk of the whole station to solve the problems of the lack of existing whole station risk assessment models and incomplete and inaccurate risk prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0060] Figure 1 This is one of the flow charts of the substation risk assessment method based on economic losses in the embodiment of the present application;

[0061] Figure 2This is a second flow chart of a substation risk assessment method based on economic losses in an embodiment of the present application;

[0062] Figure 3 A schematic diagram of a typical layout of a 500kV substation provided in an embodiment of the present application;

[0063] Figure 4 The third flowchart of the substation risk assessment method based on economic losses in the embodiment of the present application;

[0064] Figure 5 A schematic diagram of the risk assessment route of the entire substation according to the method for risk assessment of a substation based on economic losses in an embodiment of the present application;

[0065] Figure 6 is a structural diagram of a substation risk assessment device based on economic losses in an embodiment of the present application;

[0066] Figure 7 It is a schematic diagram of the structure of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0067] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0068] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0069] Taking into account the current lack of consideration of the comprehensive impact of main equipment, secondary equipment, external natural environment and power grid events on substations in the field of power grid security, the present application provides a substation risk assessment method and device based on economic losses, which solves the problems of lack of existing risk assessment models for the entire station and incomplete and inaccurate risk prediction through a quantitative assessment method for economic loss risks of the entire station.

[0070] In order to provide a method for quantitatively assessing the economic loss risk of the entire station, so as to solve the problems of the lack of existing risk assessment models for the entire station and the incomplete and inaccurate risk prediction, the present application provides an embodiment of a substation risk assessment method based on economic loss, see Figure 1 The substation risk assessment method based on economic loss specifically includes the following contents:

[0071] Step S101: determining the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation.

[0072] Among them, the failure probability of equipment in the substation and the economic losses it may cause are evaluated. For example, the probability of equipment failure can be calculated through historical data and statistical models. The expected loss of equipment failure refers to the repair, replacement and downtime costs that may be incurred after equipment failure.

[0073] Exemplarily, the equipment failure risk refers to the mathematical expectation of the equipment failure probability and the equipment failure loss, and the specific calculation formula is as follows:

[0074] R d =P d ·L d (1)

[0075] In the formula, R d Represents the risk of equipment failure, P d represents the probability of equipment failure, L d Indicates equipment failure loss.

[0076] By combining the probability of equipment failure and loss expectation, the equipment failure risk can be calculated, which is the economic loss that may be caused by equipment failure within a specific time period.

[0077] Step S102: determining the grid event risk of the substation according to the grid event probability and grid event loss expectation of the substation.

[0078] Among them, the possible events and the losses caused by them in the power grid to which the substation is connected are evaluated. The power grid event probability refers to the probability of various potential power grid accidents (such as line failures, power outages, etc.). The power grid event loss expectation includes the economic losses caused by power outages, repairs and operational interruptions caused by these events.

[0079] For example, the grid event risk refers to the mathematical expectation of the probability of a grid event and the loss of a grid event. The specific formula is as follows:

[0080] R E =P E ·L g (2)

[0081] In the formula, R E represents the risk of power grid events, P E Represents the probability of power grid events.

[0082] By calculating the probability and loss expectancy of these events, grid event risks can be determined.

[0083] Step S103: determining the direct economic loss risk of the substation according to the equipment failure risk and the grid event risk.

[0084] Among them, the direct economic loss risk of the substation can be evaluated by combining the risk of equipment failure and the risk of power grid events. The direct economic loss risk represents the total economic loss that may be caused by equipment failure and power grid events in a specific time period. By integrating the risk data of the first two steps, we can fully understand the economic risks that the substation may face during operation, help formulate more effective risk management and response strategies, and ensure the stable and safe operation of the substation.

[0085] Step S104: determining the indirect economic loss risk of the substation according to the grid event risk and the kilowatt-hour output value of the area where the substation is located.

[0086] The indirect economic losses include the regional economic impact caused by power outages and other factors due to power grid events. The kilowatt-hour output value represents the economic output value corresponding to each unit of electricity consumption in the region. By combining the risk of power grid events and the kilowatt-hour output value of the region, the indirect economic losses that may be caused by power grid events can be estimated.

[0087] For example, the indirect economic loss can be estimated based on the electricity output value per kilowatt-hour in different regions (regional gross domestic product / regional electricity consumption). The specific calculation method is as follows:

[0088]

[0089] In the formula, It represents the indirect economic loss risk of the entire substation; G represents the annual GDP of the region; Q represents the annual electricity consumption of the region; and U represents the unit electricity price.

[0090] The indirect economic losses can help understand the potential impact of power grid events on the regional economy and help business parties formulate emergency plans and long-term plans.

[0091] Step S105: determining the risk index of the entire substation according to the probability of the power grid event and the corresponding load loss, and the substation capacity of the substation.

[0092] The whole station risk index comprehensively reflects the overall risk level faced by the substation. The index is calculated by combining the probability of grid events, the corresponding load losses and the substation's substation capacity. The probability of grid events and load losses provide the economic impact that grid accidents may cause, while the substation capacity represents the handling capacity of the substation.

[0093] Exemplarily, the whole station risk index refers to the ratio of the grid load loss risk to the whole station transformer capacity, and the specific formula is as follows:

[0094]

[0095] In the formula, RI represents the risk index of the entire site, represents the probability of the ith power grid event, represents the load loss of the ith power grid event, C s Indicates transformer capacity.

[0096] The whole-station risk index indicates the impact of grid events on the overall operation of the substation, helping operators to better understand and manage substation risks and ensure the stability and reliability of power supply.

[0097] From the above description, it can be seen that the substation risk assessment method based on economic losses provided in the embodiment of the present application can solve the problems of the lack of existing risk assessment models for the entire station and incomplete and inaccurate risk prediction through a quantitative assessment method for the economic loss risk of the entire station.

[0098] In one embodiment of the substation risk assessment method based on economic loss of the present application, see Figure 2 , before determining the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation, it also includes:

[0099] Step S101A: constructing a group failure probability model of the substation based on Weibull distribution.

[0100] Among them, in Weibull distribution, a three-parameter distribution model is generally used to construct a group equipment failure probability model, and its distribution function is:

[0101]

[0102] The probability density function is:

[0103]

[0104] The failure probability function is:

[0105]

[0106] In the formula, β represents the shape of the distribution curve; α represents the scale of the ordinate; τ represents the starting point of the abscissa of the curve. Assuming that the equipment has no life loss when it is put into operation, so τ = 0, then formula (2-4) is simplified to:

[0107]

[0108] Step S101B: determining the group failure probability of the substation according to the group failure probability model and the historical failure data of the substation.

[0109] In formula (8), parameters α and β can be determined by fitting the historical fault data of this type of electrical equipment. The specific calculation formula is as follows:

[0110]

[0111] Where n(t) represents the number of equipment failures within Δt after time t; Δt is the time interval; N s (t) represents the total number of devices that can be counted within Δt time after time t.

[0112] Step S101C: based on the actual service age and equivalent service age of the equipment, the group failure probability model is modified to obtain the single failure probability of the substation.

[0113] The single equipment failure probability model is obtained by modifying the group failure probability model using the difference between the actual service age (referring to the actual operation time of the equipment) and the equivalent service age (referring to the equivalent operation time corresponding to the current health status of the equipment). The calculation method is as follows:

[0114]

[0115] In the formula, λ p (t) is the probability of failure of a single device in year t, t a is the actual service age, t e is the equivalent service age. When the equivalent service age is greater than the actual service age, it indicates that the actual operating state of the equipment is worse than the group operating state, and the group failure probability curve shifts to the left by Δt=t e -t a ; When the equivalent service age is less than or equal to the actual service age, it indicates that the actual operation state of the equipment is better than the group operation state, and the group failure probability curve shifts to the right by Δt = (t a -t e ) / 2.

[0116] The equivalent service age can be derived through formula (2-5), and the calculation formula is as follows:

[0117]

[0118] Among them, λ cur Indicates the current failure probability of the device.

[0119] Step S101D: Determine the device failure probability according to the group failure probability and the single failure probability.

[0120] Finally, by combining the group failure probability and the single failure probability, the failure probability of each device can be determined. The group failure probability provides the overall failure trend of the equipment, while the single failure probability reflects the actual operation of the specific equipment. By combining these two aspects of data, the failure probability of the equipment can be accurately assessed, providing basic data for subsequent risk assessment.

[0121] In one embodiment of the substation risk assessment method based on economic losses of the present application, before determining the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation, it also includes:

[0122] The equipment failure loss of the substation is determined based on the historical failure data of the substation, the corresponding maintenance costs and the cost quota.

[0123] Among them, equipment failure losses mainly include equipment failure emergency repair, replacement, maintenance and other costs. Specifically, emergency repair costs cover labor costs, tool usage fees and emergency purchase of accessories; replacement costs include the purchase, transportation, installation and commissioning of new equipment and the removal and disposal of old equipment; maintenance costs involve fault diagnosis, parts replacement, and equipment calibration and testing costs. In order to determine the standards for these costs, you can refer to the historical emergency repair records of similar equipment in the substation to understand the actual costs incurred, and you can also refer to the cost quotas formulated by industry standards to ensure the accuracy and standardization of the estimate.

[0124] In one embodiment of the substation risk assessment method based on economic losses of the present application, before determining the grid event risk of the substation according to the grid event probability and the grid event loss expectation of the substation, the method further includes:

[0125] The probability of a power grid event of the substation is determined according to the power grid event assessment scope of the substation, the operation mode of the power grid in which the substation is located, and the stabilization control strategy.

[0126] For example, Figure 3 The following is a schematic diagram of the typical layout of a 500kV substation. The probability of a double-circuit power outage on a 500kV line is calculated as follows:

[0127]

[0128] In the formula, P(E DL ) represents the probability of double-circuit blackout on 500kV line, It indicates the probability of a 500kV line outage event. It indicates the probability of a 500kV second-line outage.

[0129]

[0130] In the formula, E 5011-6 Indicates a 5011-6 isolating switch fault event, E 5011 Indicates a 5011 circuit breaker failure event.

[0131] Based on the above steps, by combing and analyzing the primary wiring diagram of the substation, the substation power grid combination events and level 4 and above power grid events are determined, and then the failure probability of the power grid event is calculated using the multi-event failure probability and opposing event probability calculation method. This provides a scientific basis for the subsequent risk management of substations.

[0132] In one embodiment of the substation risk assessment method based on economic losses of the present application, before determining the grid event risk of the substation according to the grid event probability and the grid event loss expectation of the substation, it also includes:

[0133] The power grid event loss is determined according to the compliance loss and restoration cost corresponding to the power grid event.

[0134] Grid event losses mainly refer to the economic cost of load losses caused by specific grid events. The specific calculation formula is as follows:

[0135] L g =ω·W loss (1+γ) t-1 ·R rec ·(1+μ)·C unit (14)

[0136] Where, L g Represents the power grid event loss, W loss Represents load loss, R roc Indicates the recovery time, C unit represents the transmission and distribution price, μ represents the recovery time extension factor, γ represents the expected load growth factor, and ω represents the load importance factor.

[0137] Based on the above steps, this application uses the failure probability of power grid events, combined with factors such as load loss, transmission and distribution prices, recovery time, recovery extension factor, expected load growth factor and load importance factor of each power grid event, to calculate the economic loss risk of power grid events.

[0138] In one embodiment of the substation risk assessment method based on economic loss of the present application, see Figure 4 , the determining of the direct economic loss risk of the substation according to the equipment failure risk and the power grid event risk includes:

[0139] Step S103A: Determine the corresponding total risk of equipment failure according to the equipment failure risk.

[0140] The total risk of equipment failure is the sum of all equipment failure risks, and the specific calculation formula is as follows:

[0141]

[0142] In the formula, R D represents the total risk of equipment failure, represents the risk probability of the i-th type of equipment, Represents the failure loss of the i-th type of equipment.

[0143] Step S103B: determining the corresponding total risk of power grid events according to the power grid event risk.

[0144] The total risk of power grid events is the sum of the risks of various power grid events that cause load loss. The specific calculation formula is as follows:

[0145]

[0146] In the formula, R G represents the total risk of power grid events, represents the probability of the ith power grid event, represents the economic loss of the ith power grid event.

[0147] Step S103C: Determine the sum of the total risk of equipment failure and the total risk of power grid events as the direct economic loss risk of the substation.

[0148] The direct economic loss risk is the sum of various equipment failure risks and various power grid event risks. The specific formula is as follows:

[0149] R S =R D +R G (17)

[0150] In the formula, R S Indicates the direct economic loss risk of the entire substation.

[0151] Based on the above steps, this application predicts the failure probability of each device through a failure probability function, combines the single equipment failure repair cost and the economic loss risk of power grid events, and calculates the direct economic loss risk of the substation.

[0152] In one embodiment of the substation risk assessment method based on economic losses of the present application, after determining the whole substation risk index of the substation according to the probability of the power grid event and the corresponding load loss, and the substation capacity of the substation, it also includes:

[0153] The risk level of the substation is determined according to the whole station risk index and preset risk level classification rules.

[0154] Among them, the risk level of the substation can be divided and rated according to the whole station risk index, so as to better understand and manage the risk situation of the substation. The whole station risk index is a comprehensive indicator calculated by analyzing the probability of power grid events, load loss and substation substation capacity, reflecting the risk level of the substation when facing various power grid events.

[0155] For example, specific rating standards can be found in the table below.

[0156] Table 1 Classification rules for risk levels

[0157] Risk Level Ⅰ Ⅱ Ⅲ Risk level Low risk Medium risk High risk RI value range (%) 0<RI≤0. 10.1<RI≤ 0.3RI>0.3

[0158] Among them, low risk (risk level I) means that the risk index of the entire substation is low, which means that the risk of the substation in the face of power grid events is relatively small. The operation status of the substation is relatively stable, the power grid events have little impact on it, and the operation and maintenance work is relatively smooth. Substations with low risk levels can appropriately reduce emergency plans and additional protection measures on the basis of routine maintenance.

[0159] Medium risk (risk level II) indicates that the substation's risk index is at a medium level, which means that the substation has a certain risk when facing power grid events. Although the operation of the substation is generally safe, it may be affected by power grid events in some cases. For substations with medium risk levels, daily maintenance and monitoring need to be strengthened to ensure rapid response and handling when power grid events occur.

[0160] High risk (risk level III) means that the substation has a high risk index, which means that the substation is at greater risk when facing power grid events. Substations may have many potential problems, and power grid events have a greater impact on them, and may even cause serious operational interruptions or losses. For substations with high risk levels, more stringent management and maintenance measures need to be taken, detailed emergency plans need to be formulated, and regular risk assessments and drills need to be conducted to ensure that losses and impacts can be minimized when power grid events occur.

[0161] In summary, the substation risk assessment method proposed in this application has the following beneficial effects:

[0162] First, it is highly adaptable. This method is highly compatible and can be reused for a variety of equipment types. By integrating the traditional Weibull distribution and exponential model, it can effectively determine the probability of equipment failure and power grid events, adapt to equipment of different types and states, and ensure the wide applicability of the assessment.

[0163] Secondly, the algorithm is comprehensive. The algorithm not only considers the failure probability of primary and secondary equipment, but also comprehensively considers the impact of multiple factors on substations, such as the probability of power grid events, the support capacity of spare parts for old equipment, and expected load growth, to ensure the comprehensiveness and accuracy of risk assessment.

[0164] In addition, this application attempts for the first time to combine the probability of equipment failure with the topological structure of the substation to predict the risk development trend of the entire station. This innovative combination not only improves the accuracy of risk prediction, but also provides a more forward-looking risk management method. Through these beneficial effects, this method can more comprehensively, accurately and innovatively assess the risks of substations, providing strong support for the safe operation of substations.

[0165] In order to further illustrate the present solution, the present application also provides a specific application example of implementing the substation risk assessment method based on economic losses, see Figure 5 , specifically including the following contents:

[0166] Figure 5 The process of substation risk assessment is presented, which describes how to determine the overall risk of the substation by evaluating the probability of equipment failure and grid events and the corresponding loss costs.

[0167] First, the failure probability of each single device needs to be evaluated. This step uses statistical models combined with historical failure data, actual operating time and other information of the device to calculate the probability of failure of the device within a specific time period. Then, the loss cost caused by the equipment failure is calculated, including direct costs such as equipment maintenance, replacement and emergency repair. These loss cost data provide the basis for subsequent risk calculations.

[0168] Next, the equipment failure risk is calculated by combining the failure probability of a single device with the equipment loss cost. This phase of work aims to quantify the economic loss risk that the equipment may cause within a certain period of time, laying the foundation for subsequent risk assessment of the entire station. At the same time, by analyzing the structure, operation mode and stability control strategy of the electrical system, various possible power grid events and their probability of occurrence can be determined.

[0169] After determining the probability of grid events, we then calculate the impact of these events on the load and the loss cost after they occur. This includes the economic losses and repair costs caused by events such as power outages. Combining these data with the probability of grid events, we can calculate the risk of grid events, that is, the risk of economic losses that these events may cause in a certain period of time.

[0170] Finally, the economic loss risk of the entire substation and the risk index of the entire substation are calculated by combining the risk of equipment failure and power grid events. The economic loss risk includes all direct and indirect economic losses caused by equipment failure and power grid events, while the risk index of the entire substation is a comprehensive indicator used to assess the overall risk level of the substation. Through this series of steps, the substation manager can fully understand the risk situation of the substation and formulate corresponding maintenance and emergency strategies to ensure the safe and stable operation of the substation.

[0171] In order to provide a method for quantitatively assessing the economic loss risk of the entire station, so as to solve the problems of the lack of existing risk assessment models for the entire station and the incomplete and inaccurate risk prediction, the present application provides an embodiment of a substation risk assessment device based on economic loss for implementing all or part of the contents of the substation risk assessment method based on economic loss, see Figure 6 The substation risk assessment device based on economic loss specifically includes the following contents:

[0172] The failure risk determination module 1101 is used to determine the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation;

[0173] An event risk determination module 1102 is used to: determine the power grid event risk of the substation according to the power grid event probability and the power grid event loss expectation of the substation;

[0174] A direct risk determination module 1103 is used to determine the direct economic loss risk of the substation according to the equipment failure risk and the grid event risk;

[0175] The indirect risk determination module 1104 is used to determine the indirect economic loss risk of the substation according to the power grid event risk and the kilowatt-hour output value of the area where the substation is located;

[0176] The risk index determination module 1105 is used to determine the risk index of the entire substation according to the probability of the power grid event and the corresponding load loss, and the substation capacity of the substation.

[0177] According to any embodiment of the present application, a fault probability determination module is further included, which is used to:

[0178] Constructing a group failure probability model of the substation based on Weibull distribution;

[0179] Determining the group failure probability of the substation according to the group failure probability model and the historical failure data of the substation;

[0180] The group failure probability model is modified based on the actual service age and equivalent service age of the equipment to obtain the single failure probability of the substation;

[0181] The device failure probability is determined according to the group failure probability and the single failure probability.

[0182] According to any embodiment of the present application, a fault loss determination module is further included, which is used to:

[0183] The equipment failure loss of the substation is determined based on the historical failure data of the substation, the corresponding maintenance costs and the cost quota.

[0184] According to any embodiment of the present application, it also includes an event probability determination module, which is used to:

[0185] The probability of a power grid event of the substation is determined according to the power grid event assessment scope of the substation, the operation mode of the power grid in which the substation is located, and the stabilization control strategy.

[0186] According to any embodiment of the present application, a time loss determination module is further included, which is used to:

[0187] The power grid event loss is determined according to the compliance loss and restoration cost corresponding to the power grid event.

[0188] According to any implementation of the present application, the direct risk determination module is specifically used to:

[0189] Determine the corresponding total risk of equipment failure according to the equipment failure risk;

[0190] Determine the corresponding total risk of power grid events according to the power grid event risk;

[0191] The sum of the total risk of equipment failure and the total risk of power grid events is determined as the direct economic loss risk of the substation.

[0192] According to any implementation of the present application, a risk level determination module is further included, which is used to:

[0193] The risk level of the substation is determined according to the whole station risk index and preset risk level classification rules.

[0194] From the above description, it can be seen that the substation risk assessment device based on economic losses provided in the embodiment of the present application can solve the problems of the lack of existing risk assessment models for the entire station and the incomplete and inaccurate risk prediction through a quantitative assessment method for the economic loss risk of the entire station.

[0195] From the hardware level, in order to provide a quantitative assessment method for the economic loss risk of the entire station to solve the problems of the lack of existing risk assessment models for the entire station and incomplete and inaccurate risk prediction, the present application provides an embodiment of an electronic device for implementing all or part of the contents of the substation risk assessment method based on economic losses, and the electronic device specifically includes the following contents:

[0196] Processor, memory, communication interface and bus; wherein the processor, memory and communication interface communicate with each other through the bus; the communication interface is used to realize information transmission between the substation risk assessment device based on economic losses and related equipment such as core business systems, user terminals and related databases; the logic controller can be a desktop computer, a tablet computer and a mobile terminal, etc., but the present embodiment is not limited thereto. In the present embodiment, the logic controller can be implemented with reference to the embodiment of the substation risk assessment method based on economic losses and the embodiment of the substation risk assessment device based on economic losses in the embodiment, and the contents thereof are incorporated herein, and the repeated parts are not repeated.

[0197] It is understandable that the user terminal may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a personal digital assistant (PDA), a vehicle-mounted device, a smart wearable device, etc. Among them, the smart wearable device may include smart glasses, a smart watch, a smart bracelet, etc.

[0198] In practical applications, part of the substation risk assessment method based on economic losses can be executed on the electronic device side as described above, or all operations can be completed in the client device. The selection can be made based on the processing capability of the client device and the limitations of the user's usage scenario. This application does not limit this. If all operations are completed in the client device, the client device may also include a processor.

[0199] The client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission with the server. The server may include a server on the task scheduling center side, and other implementation scenarios may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, or a server cluster consisting of multiple servers, or a server structure of a distributed device.

[0200] Figure 7 FIG. 9 is a schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Figure 7 As shown, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. It is worth noting that Figure 7 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0201] In one embodiment, the function of the substation risk assessment method based on economic loss can be integrated into the central processor 9100. The central processor 9100 can be configured to perform the following control:

[0202] Step S101: determining the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation;

[0203] Step S102: determining the grid event risk of the substation according to the grid event probability and grid event loss expectation of the substation;

[0204] Step S103: determining the direct economic loss risk of the substation according to the equipment failure risk and the grid event risk;

[0205] Step S104: determining the indirect economic loss risk of the substation according to the grid event risk and the kilowatt-hour output value of the area where the substation is located;

[0206] Step S105: determining the risk index of the entire substation according to the probability of the power grid event and the corresponding load loss, and the substation capacity of the substation.

[0207] From the above description, it can be seen that the electronic device provided in the embodiment of the present application solves the problems of the lack of existing whole-station risk assessment models and incomplete and inaccurate risk prediction through a quantitative assessment method for the economic loss risk of the whole station.

[0208] In another embodiment, the substation risk assessment device based on economic losses can be configured separately from the central processor 9100. For example, the substation risk assessment device based on economic losses can be configured as a chip connected to the central processor 9100, and the function of the substation risk assessment method based on economic losses can be implemented through the control of the central processor.

[0209] like Figure 7 As shown, the electronic device 9600 may also include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily have to include Figure 7 In addition, the electronic device 9600 may also include Figure 7For components not shown, reference may be made to the prior art.

[0210] like Figure 7 As shown, the central processing unit 9100 is sometimes also referred to as a controller or an operation control, and may include a microprocessor or other processor device and / or logic device. The central processing unit 9100 receives input and controls the operation of various components of the electronic device 9600.

[0211] The memory 9140 may be, for example, one or more of a cache, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory or other suitable devices. The above-mentioned information related to the failure may be stored, and a program for executing the relevant information may also be stored. The CPU 9100 may execute the program stored in the memory 9140 to implement information storage or processing, etc.

[0212] The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used to display display objects such as images and texts. The display may be, for example, an LCD display, but is not limited thereto.

[0213] The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It may also be a memory that saves information even when the power is off, can be selectively erased, and is provided with more data, examples of which are sometimes referred to as EPROMs, etc. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application / function storage unit 9142, which is used to store application programs and function programs or processes for executing the operation of the electronic device 9600 through the central processor 9100.

[0214] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various drivers for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0215] The communication module 9110 is a transmitter / receiver 9110 that sends and receives signals via an antenna 9111. The communication module (transmitter / receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as the case of a conventional mobile communication terminal.

[0216] Based on different communication technologies, multiple communication modules 9110 may be provided in the same electronic device, such as a cellular network module, a Bluetooth module and / or a wireless LAN module, etc. The communication module (transmitter / receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide an audio output via the speaker 9131 and receive an audio input from the microphone 9132, thereby realizing a common telecommunication function. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. In addition, the audio processor 9130 is also coupled to the central processor 9100, so that recording can be performed on the local machine through the microphone 9132, and the sound stored on the local machine can be played through the speaker 9131.

[0217] The embodiment of the present application also provides a computer-readable storage medium capable of implementing all the steps of the substation risk assessment method based on economic losses in the above embodiment, where the execution subject is a server or a client. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, all the steps of the substation risk assessment method based on economic losses in the above embodiment are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0218] Step S101: determining the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation;

[0219] Step S102: determining the grid event risk of the substation according to the grid event probability and grid event loss expectation of the substation;

[0220] Step S103: determining the direct economic loss risk of the substation according to the equipment failure risk and the grid event risk;

[0221] Step S104: determining the indirect economic loss risk of the substation according to the grid event risk and the kilowatt-hour output value of the area where the substation is located;

[0222] Step S105: determining the risk index of the entire substation according to the probability of the power grid event and the corresponding load loss, and the substation capacity of the substation.

[0223] From the above description, it can be seen that the electronic device provided in the embodiment of the present application solves the problems of the lack of existing whole-station risk assessment models and incomplete and inaccurate risk prediction through a quantitative assessment method for the economic loss risk of the whole station.

[0224] From the above description, it can be seen that the computer-readable storage medium provided in the embodiment of the present application solves the problems of the lack of existing whole-station risk assessment models and incomplete and inaccurate risk prediction through a quantitative assessment method for the economic loss risk of the whole station.

[0225] The embodiment of the present application also provides a computer program product capable of implementing all the steps of the substation risk assessment method based on economic losses in the above embodiment, where the execution subject is a server or a client. When the computer program / instruction is executed by a processor, the steps of the substation risk assessment method based on economic losses are implemented. For example, the computer program / instruction implements the following steps:

[0226] Step S101: determining the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation;

[0227] Step S102: determining the grid event risk of the substation according to the grid event probability and grid event loss expectation of the substation;

[0228] Step S103: determining the direct economic loss risk of the substation according to the equipment failure risk and the grid event risk;

[0229] Step S104: determining the indirect economic loss risk of the substation according to the grid event risk and the kilowatt-hour output value of the area where the substation is located;

[0230] Step S105: determining the risk index of the entire substation according to the probability of the power grid event and the corresponding load loss, and the substation capacity of the substation.

[0231] From the above description, it can be seen that the electronic device provided in the embodiment of the present application solves the problems of the lack of existing whole-station risk assessment models and incomplete and inaccurate risk prediction through a quantitative assessment method for the economic loss risk of the whole station.

[0232] From the above description, it can be seen that the computer program product provided in the embodiment of the present application solves the problems of the lack of existing whole-station risk assessment models and incomplete and inaccurate risk prediction through a quantitative assessment method for the economic loss risk of the whole station.

[0233] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0234] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (apparatus), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0235] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0236] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0237] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A substation risk assessment method based on economic loss, characterized in that: The method comprises: Determining the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation; Determining the grid event risk of the substation according to the grid event probability and grid event loss expectation of the substation; Determining the direct economic loss risk of the substation according to the equipment failure risk and the power grid event risk; Determine the indirect economic loss risk of the substation according to the grid event risk and the kilowatt-hour output value of the area where the substation is located; The whole-station risk index of the substation is determined according to the probability of the power grid event and the corresponding load loss, and the substation capacity of the substation.

2. The substation risk assessment method based on economic loss according to claim 1 is characterized in that: Before determining the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation, the method further includes: Constructing a group failure probability model of the substation based on Weibull distribution; Determining a group failure probability of the substation according to the group failure probability model and historical failure data of the substation; The group failure probability model is modified based on the actual service age and equivalent service age of the equipment to obtain the single failure probability of the substation; The device failure probability is determined according to the group failure probability and the single failure probability.

3. The substation risk assessment method based on economic loss according to claim 1 is characterized in that: Before determining the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation, the method further includes: The equipment failure loss of the substation is determined based on the historical failure data of the substation, the corresponding maintenance costs and the cost quota.

4. The substation risk assessment method based on economic loss according to claim 1 is characterized in that: Before determining the grid event risk of the substation according to the grid event probability and the grid event loss expectation of the substation, the method further includes: The probability of a power grid event of the substation is determined according to the power grid event assessment scope of the substation, the operation mode of the power grid in which the substation is located, and the stabilization control strategy.

5. The substation risk assessment method based on economic loss according to claim 1 is characterized in that: Before determining the grid event risk of the substation according to the grid event probability and the grid event loss expectation of the substation, the method further includes: The power grid event loss is determined according to the compliance loss and restoration cost corresponding to the power grid event.

6. The substation risk assessment method based on economic loss according to claim 1 is characterized in that: The determining the direct economic loss risk of the substation according to the equipment failure risk and the power grid event risk includes: Determine the corresponding total risk of equipment failure according to the equipment failure risk; Determine the corresponding total risk of power grid events according to the power grid event risk; The sum of the total risk of equipment failure and the total risk of power grid events is determined as the direct economic loss risk of the substation.

7. The substation risk assessment method based on economic loss according to claim 1 is characterized in that: After determining the risk index of the entire substation according to the probability of the power grid event and the corresponding load loss, and the substation capacity of the substation, the method further includes: The risk level of the substation is determined according to the whole station risk index and preset risk level classification rules.

8. A substation risk assessment device based on economic losses, characterized in that: The device comprises: A failure risk determination module is used to determine the equipment failure risk of the substation according to the equipment failure probability and the equipment failure loss expectation of the substation; An event risk determination module is used to: determine the power grid event risk of the substation according to the power grid event probability and power grid event loss expectation of the substation; A direct risk determination module, used to: determine the direct economic loss risk of the substation according to the equipment failure risk and the power grid event risk; An indirect risk determination module, used to: determine the indirect economic loss risk of the substation according to the grid event risk and the kilowatt-hour output value of the area where the substation is located; The risk index determination module is used to determine the risk index of the entire substation according to the probability of the power grid event and the corresponding load loss, and the substation capacity of the substation.

9. The substation risk assessment device based on economic loss according to claim 8, characterized in that: Also included is a failure probability determination module for: Constructing a group failure probability model of the substation based on Weibull distribution; Determining a group failure probability of the substation according to the group failure probability model and historical failure data of the substation; The group failure probability model is modified based on the actual service age and equivalent service age of the equipment to obtain the single failure probability of the substation; The device failure probability is determined according to the group failure probability and the single failure probability.

10. The substation risk assessment device based on economic loss according to claim 8, characterized in that: Also included is a failure loss determination module for: The equipment failure loss of the substation is determined based on the historical failure data of the substation, the corresponding maintenance costs and the cost quota.

11. The substation risk assessment device based on economic loss according to claim 8, characterized in that: Also included is an event probability determination module for: The probability of a power grid event of the substation is determined according to the power grid event assessment scope of the substation, the operation mode of the power grid in which the substation is located, and the stabilization control strategy.

12. The substation risk assessment device based on economic loss according to claim 8, characterized in that: Also included is a time loss determination module for: The power grid event loss is determined according to the compliance loss and restoration cost corresponding to the power grid event.

13. The substation risk assessment device based on economic loss according to claim 8, characterized in that: The direct risk determination module is specifically used to: Determine the corresponding total risk of equipment failure according to the equipment failure risk; Determine the corresponding total risk of power grid events according to the power grid event risk; The sum of the total risk of equipment failure and the total risk of power grid events is determined as the direct economic loss risk of the substation.

14. The substation risk assessment device based on economic loss according to claim 8, characterized in that: It also includes a risk level determination module for: The risk level of the substation is determined according to the whole station risk index and preset risk level classification rules.

15. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the substation risk assessment method based on economic losses described in any one of claims 1 to 7 are implemented.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the substation risk assessment method based on economic losses described in any one of claims 1 to 7 are implemented.

17. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the substation risk assessment method based on economic losses described in any one of claims 1 to 7 are implemented.

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