Power load management risk assessment method, device, equipment, medium and product

Abstract

The invention discloses a risk assessment method, device and equipment for power load management, a medium and a product. The method comprises the following steps: acquiring a risk source index set of power load management; scoring each risk source index in the risk source index set to obtain an index score corresponding to each risk source index; and determining a risk score according to the index score corresponding to each risk source index, and performing risk assessment on power load management based on the risk score. Through the technical scheme of the invention, risks faced by accurate management of different types of power loads can be scientifically evaluated in a qualitative and quantitative combined mode.

Description

Technical Field

[0001] Embodiments of the present invention relate to the technical field of power load management, and in particular to a risk assessment method, device, equipment, medium and product for power load management. Background Art

[0002] Power load management is an important means of power demand side management, which can help achieve load control under orderly power consumption and normalized demand side management. With the profound changes in the form of the power system, the random volatility on both the source and the load has increased, and there is an urgent need for power demand side management to play a greater role. However, with the evolution and iteration of energy and power systems, the construction of new power systems has accelerated, and power loads have shown new and more diversified characteristics. The precise management of power loads still faces risks in multiple dimensions. In addition, various risks influence and transmit each other, which may also generate coupling risks and derivative risks. Therefore, how to identify and comprehensively evaluate the risks of precise power load management has become an urgent problem to be solved. Summary of the invention

[0003] The embodiments of the present invention provide a risk assessment method, device, equipment, medium and product for power load management, so as to realize risk identification and comprehensive assessment for accurate power load management.

[0004] According to one aspect of the present invention, there is provided a risk assessment method for power load management, comprising:

[0005] Obtain a set of risk source indicators for power load management;

[0006] Scoring each risk source indicator in the risk source indicator set to obtain an indicator score corresponding to each risk source indicator;

[0007] A risk score is determined according to the indicator score corresponding to each of the risk source indicators, and a risk assessment of power load management is performed based on the risk score.

[0008] In some embodiments of the present invention, determining a risk score according to an indicator score corresponding to each of the risk source indicators includes:

[0009] Obtaining category information corresponding to each risk source indicator in the risk source indicator set;

[0010] Determine the category score corresponding to each of the category information according to the category information corresponding to each of the risk source indicators and the indicator score corresponding to each of the risk source indicators;

[0011] A risk score is determined according to the category score corresponding to each category information.

[0012] In some embodiments of the present invention, determining the category score corresponding to each of the category information according to the category information corresponding to each risk source indicator and the indicator score corresponding to each of the risk source indicators includes:

[0013] Obtain the indicator weight corresponding to each risk source indicator;

[0014] For each of the category information, the category score corresponding to the category information is determined according to the indicator score and indicator weight corresponding to each of the risk source indicators under the category information.

[0015] In some embodiments of the present invention, determining a risk score according to a category score corresponding to each of the category information includes:

[0016] Obtaining a category weight corresponding to each category information;

[0017] The risk score is determined according to the category score corresponding to each category information and the category weight corresponding to each category information.

[0018] In some embodiments of the present invention, risk assessment of power load management is performed based on the risk score, including:

[0019] If the risk score is greater than or equal to the first threshold and less than the second threshold, the risk level of the power load management is determined to be high risk;

[0020] If the risk score is greater than or equal to the second threshold and less than the third threshold, the risk level of the power load management is determined to be a high-medium risk;

[0021] If the risk score is greater than or equal to the third threshold and less than the fourth threshold, the risk level of the power load management is determined to be medium risk;

[0022] If the risk score is greater than or equal to the fourth threshold and less than the fifth threshold, the risk level of the power load management is determined to be medium-low risk;

[0023] If the risk score is greater than or equal to the fifth threshold and less than or equal to the sixth threshold, the risk level of the power load management is determined to be low risk.

[0024] In some embodiments of the present invention, risk assessment of power load management is performed based on the risk score, including:

[0025] If there is a category score corresponding to the category information that is less than the second threshold, the risk level of the power load management is determined to be high risk.

[0026] According to another aspect of the present invention, there is provided a risk assessment device for power load management, the device comprising:

[0027] An acquisition module, used to acquire a set of risk source indicators for power load management;

[0028] A scoring module, used to score each risk source indicator in the risk source indicator set to obtain an indicator score corresponding to each risk source indicator;

[0029] The determination module is used to determine the risk score according to the indicator score corresponding to each of the risk source indicators, and to perform risk assessment on power load management based on the risk score.

[0030] In some embodiments of the present invention, the determining module includes:

[0031] An acquisition unit, used to acquire category information corresponding to each risk source indicator in the risk source indicator set;

[0032] A first determining unit, configured to determine a category score corresponding to each of the category information according to the category information corresponding to each of the risk source indicators and the indicator score corresponding to each of the risk source indicators;

[0033] The second determining unit is used to determine the risk score according to the category score corresponding to each category information.

[0034] In some embodiments of the present invention, the first determining unit is specifically configured to:

[0035] Obtain the indicator weight corresponding to each risk source indicator;

[0036] For each of the category information, the category score corresponding to the category information is determined according to the indicator score and indicator weight corresponding to each of the risk source indicators under the category information.

[0037] In some embodiments of the present invention, the second determining unit is specifically configured to:

[0038] Obtaining a category weight corresponding to each category information;

[0039] The risk score is determined according to the category score corresponding to each category information and the category weight corresponding to each category information.

[0040] In some embodiments of the present invention, the determining module is specifically used to:

[0041] If the risk score is greater than or equal to the first threshold and less than the second threshold, the risk level of the power load management is determined to be high risk;

[0042] If the risk score is greater than or equal to the second threshold and less than the third threshold, the risk level of the power load management is determined to be a high-medium risk;

[0043] If the risk score is greater than or equal to the third threshold and less than the fourth threshold, the risk level of the power load management is determined to be medium risk;

[0044] If the risk score is greater than or equal to the fourth threshold and less than the fifth threshold, the risk level of the power load management is determined to be medium-low risk;

[0045] If the risk score is greater than or equal to the fifth threshold and less than or equal to the sixth threshold, the risk level of the power load management is determined to be low risk.

[0046] In some embodiments of the present invention, the determining module is specifically used to:

[0047] If there is a category score corresponding to the category information that is less than the second threshold, the risk level of the power load management is determined to be high risk.

[0048] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0049] at least one processor; and

[0050] a memory communicatively connected to the at least one processor; wherein,

[0051] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the risk assessment method for power load management described in any embodiment of the present invention.

[0052] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the risk assessment method for power load management described in any embodiment of the present invention when executed.

[0053] According to another aspect of the present invention, an embodiment of the present invention further provides a computer program product, the computer program product comprising a computer program, and when the computer program is executed by a processor, the risk assessment method for power load management described in any embodiment of the present invention is implemented.

[0054] The embodiment of the present invention obtains a risk source indicator set for power load management, scores each risk source indicator in the risk source indicator set, obtains an indicator score corresponding to each risk source indicator, determines a risk score according to the indicator score corresponding to each risk source indicator, and performs risk assessment on power load management based on the risk score. Through the technical solution of the present invention, it is possible to scientifically assess the risks faced by the precise management of different types of power loads in a combination of qualitative and quantitative methods.

[0055] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0057] Figure 1 is a flow chart of a risk assessment method for power load management in an embodiment of the present invention;

[0058] Figure 2 is a schematic structural diagram of a risk assessment device for power load management in an embodiment of the present invention;

[0059] Figure 3 It is a structural schematic diagram of an electronic device for implementing the risk assessment method for power load management according to an embodiment of the present invention. DETAILED DESCRIPTION

[0060] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0061] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and their meanings are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0062] It is understandable that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, scope of use, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0063] Embodiment 1

[0064] In the risk identification stage, risks can be classified in different ways. For example, according to the source or cause of the risk, it can be divided into technical risk, policy risk, market risk, management risk, etc.; according to the scope of the research object, it can be divided into internal risk, external risk, etc. The application of risk assessment has increased day by day in recent years, and the theoretical methods of risk assessment have become increasingly rich and perfect. The goal of risk assessment is to provide support for decision-making, which generally includes three steps: risk identification, risk analysis and risk evaluation. Risk identification is the process of discovering, listing and describing risk factors. Its goals include: first, identifying all risks and risk events that occur during the purposeful use of the research object, foreseeable misuse, and all interactions with the research object; second, qualitatively or quantitatively describing the characteristics and forms of each risk; third, identifying the scenarios and triggering conditions for the occurrence of risks; fourth, identifying potential or derivative risk events that may be caused by the risk. Risk analysis is a process of improving the understanding of risk. It requires a comprehensive analysis of risk from the following aspects: first, the causes and sources of risk; second, the positive and negative consequences of risk events; third, the possibility of risk events and the possibility of the consequences; fourth, the relationship and role of different risks and their risk sources; fifth, the existence and effectiveness of control measures. Risk analysis methods are mainly divided into qualitative, semi-quantitative, quantitative or a combination of the above methods. Qualitative risk analysis can reflect the risk consequences, possibility and risk level through importance marking, such as high, medium and low levels. Semi-quantitative analysis can use a numerical rating scale to measure risk consequences and possibility and determine the risk level. Quantitative analysis can estimate the actual value of risk consequences and their probability of occurrence, and calculate the value of risk level. Risk assessment is the process of making conclusions and decisions based on risk identification and risk analysis. The results of risk analysis can be compared with the risk criteria set before decision-making, or the analysis results of various risks can be compared to make decisions, and then propose risk control and response plans and mechanisms.

[0065] In the risk assessment process, there are many categories of risk assessment theoretical methods, which have different characteristics and applicability. In summary, they mainly include the following categories and methods. First, the inspection risk assessment method, mainly including: checklist method, list inspection method, on-site observation method, risk list analysis method, risk map, etc. Second, the support risk assessment method, mainly including: expert investigation method, brainstorming method, Delphi method, structured hypothesis analysis, human reliability analysis, collective opinion method, discussion method, structured / semi-structured interview, questionnaire survey method, expert scoring method, risk exposure scoring method, etc. Third, the scenario analysis risk assessment method, mainly including: RCA (Root Cause Analysis), scenario analysis, fault tree analysis, event tree analysis, qualitative decision tree analysis, cause and effect analysis, characteristic factor analysis / fishbone diagram, performance impact analysis, stress testing, etc. Fourth, the functional analysis risk assessment method, mainly including: failure mode, utility and critical state analysis, failure mode and utility analysis, reliability-centered maintenance, hazard and operability analysis, hazard analysis and critical control point method, potential path analysis, etc. The fifth is the early warning risk assessment method, which mainly includes: trigger method, pre-hazard analysis, sensitivity analysis, Monte Carlo simulation analysis, neural network method. The sixth is the fuzzy mathematics risk assessment method, which mainly includes: Vague, fuzzy comprehensive evaluation method, grey correlation analysis method, etc. The seventh is the graphic risk assessment method, which mainly includes: histogram evaluation method, matrix evaluation method, flow chart analysis method, risk matrix, enterprise risk analysis work expression, business risk model, risk coordinate diagram method, radar chart, risk assessment system diagram method, probability influence diagram, etc. The eighth is the qualitative evaluation risk assessment method, which mainly includes: tool risk decomposition method, risk degree evaluation method, management scoring method, impact and possibility matrix, risk comprehensive evaluation method, etc. The quantitative evaluation risk assessment method mainly includes: data envelopment analysis, factor analysis, efficacy coefficient method, etc.

[0066] By combing through the existing common theoretical methods for risk identification and assessment, we can see that various technical methods have corresponding advantages and applicable fields, and also have some difficult challenges. These methods are widely used in engineering, economy, energy, electricity and other fields, forming a relatively mature risk assessment theory system and a relatively comprehensive and diverse risk assessment technical method system. However, the existing general risk identification and assessment methods cannot well adapt to the risk identification and assessment needs of precise management of power loads. On the one hand, precise management of power loads is an emerging field in the power system in recent years. There is no solid working foundation for its risk identification and assessment, and the development and application of relevant risk identification and assessment technical methods are in the initial stage. On the other hand, since the risk assessment of precise management of power loads needs to cover multiple fields and dimensions, it is urgent to comprehensively identify multidimensional risks, clarify the risk sources, determine the risk fundamentals, and scientifically and objectively explain the probability of risk occurrence from the complex and changeable power load management system, and then systematically analyze the coupling mechanism and interaction of multi-factor-multi-dimensional risks to build a comprehensive and systematic risk identification and assessment technical method system.

[0067] Figure 1 is a flow chart of a method for risk assessment of power load management in an embodiment of the present invention. This embodiment is applicable to the risk assessment of power load management. The method can be executed by a risk assessment device for power load management in an embodiment of the present invention. The device can be implemented in software and / or hardware, such as Figure 1 As shown, the method specifically comprises the following steps:

[0068] S101. Obtain a set of risk source indicators for power load management.

[0069] At present, the scope of implementing power load management has been greatly expanded. Compared with the previous load-side resources mainly including gateway metering, with the introduction of new power resources such as distributed power sources, household and substation energy storage, and electric vehicles, power load management needs to consider the above-mentioned types of resources distributed in the adjacent distribution network substations.

[0070] On this basis, through a systematic investigation of the practices of implementing power load management in various places, it can be considered that the risk source indicators included in the current risk source indicator set for precise power load management are: comprehensive legal risk indicators, comprehensive policy risk indicators, clarity of responsibility regulations indicators, funding sources and cost diversion indicators, component reliability, information network vulnerability, information component reliability, load management terminal coverage, load management terminal reliability, functional configuration soundness, power users' acceptance of precise load management, demand-side resource availability, proportion of proposed load in the clearing period, data intercommunication between precise load management and power market, rationality of departmental connection, and availability of terminal equipment.

[0071] S102. Score each risk source indicator in the risk source indicator set to obtain an indicator score corresponding to each risk source indicator.

[0072] In this embodiment, different scoring methods may be used to score different risk source indicators, wherein the indicator score may be a score corresponding to each risk source indicator obtained by scoring each risk source indicator based on different scoring methods.

[0073] Specifically, for different risk source indicators in the risk source indicator set, different scoring methods can be used to score based on the different quantitative characteristics of each risk source indicator to obtain the indicator score corresponding to each risk source indicator.

[0074] For example, for risk source indicators that are difficult to quantify, such as comprehensive legal risk indicators, comprehensive policy risk indicators, clarity of responsibilities, funding sources and cost guidance indicators, functional configuration soundness, load precision management and power market data intercommunication, departmental connection rationality, and terminal equipment availability, the Delphi method can be used for scoring. For risk source indicators that can be quantified, such as component reliability, information network vulnerability, information component reliability, load management terminal coverage, load management terminal reliability, power user load precision management acceptance, demand side resource availability, and the proportion of the intended load in the clearing period, the early warning risk assessment method can be used for scoring.

[0075] S103. Determine a risk score according to the indicator score corresponding to each risk source indicator, and perform risk assessment on power load management based on the risk score.

[0076] It should be noted that the risk score can be calculated based on the indicator score corresponding to each risk source indicator, and is ultimately used to evaluate the risk level.

[0077] Specifically, a weighted sum calculation is performed based on the indicator scores corresponding to each risk source indicator to determine the final risk score, and a risk assessment of power load management is performed based on the risk score. The assessment method may be, for example, comparing the risk score with different thresholds to determine the risk level of power load management.

[0078] The embodiment of the present invention obtains a risk source indicator set for power load management, scores each risk source indicator in the risk source indicator set, obtains an indicator score corresponding to each risk source indicator, determines a risk score according to the indicator score corresponding to each risk source indicator, and performs risk assessment on power load management based on the risk score. Through the technical solution of the present invention, it is possible to scientifically assess the risks faced by the precise management of different types of power loads in a combination of qualitative and quantitative methods.

[0079] Optionally, the risk score is determined according to the indicator score corresponding to each risk source indicator, including:

[0080] Get the category information corresponding to each risk source indicator in the risk source indicator set.

[0081] It should be noted that the category information may be the dimension category to which the risk source indicator belongs. In this embodiment, the category information may include: policy, technology, market and management.

[0082] Through a systematic investigation of the practice of power load management in various places, it is believed that the risks of carrying out precise power load management currently mainly come from four categories: policy, technology, market and management. For the specific risk sources involved in each category, in order to carry out reasonable risk assessment, it is necessary to design evaluation indicators that can characterize each risk source, and calculate the final evaluation results through each risk source indicator.

[0083] In this embodiment, the risk source indicators corresponding to each category, and the indicator description and indicator quantitative characteristics corresponding to each risk source indicator are shown in Table 1.

[0084] Table 1

[0085]

[0086]

[0087]

[0088]

[0089] From Table 1, we can see that for precise management of power load, risk assessment cannot be completely carried out through quantitative or non-quantitative evaluation. At the same time, there is no typical "yes" or "no" status for some indicators that cannot be evaluated through quantification. The use of hierarchical analysis method to form a multi-dimensional and multi-level risk assessment system has a more significant effect on risk assessment.

[0090] Based on the description in Table 1, an evaluation index system based on the analytic hierarchy process is formed, as shown in Table 2.

[0091] Table 2

[0092]

[0093]

[0094] The category score corresponding to each category information is determined based on the category information corresponding to each risk source indicator and the indicator score corresponding to each risk source indicator.

[0095] The category score may be a score corresponding to each category information obtained by weighted summing up the indicator scores corresponding to all risk source indicators under each category information.

[0096] Specifically, for each category of information, the indicator scores corresponding to all risk source indicators contained in the category of information are weighted summed to obtain the score corresponding to the category of information.

[0097] The risk score is determined based on the category score corresponding to each category of information.

[0098] Specifically, after calculating the category score corresponding to each category of information, the category score corresponding to each category of information may be weighted and summed to finally obtain a risk score.

[0099] Optionally, determining a category score corresponding to each category information according to the category information corresponding to each risk source indicator and the indicator score corresponding to each risk source indicator includes:

[0100] Get the indicator weight corresponding to each risk source indicator.

[0101] In this embodiment, the indicator weights can be assigned and determined using the Delphi method.

[0102] For each category of information, the category score corresponding to the category information is determined based on the indicator score and indicator weight corresponding to each risk source indicator under the category information.

[0103] In actual operation, the calculation process of the category score corresponding to each category information can be expressed as:

[0104]

[0105] Among them, B i The category score corresponding to each category information, k j is the indicator weight corresponding to each risk source indicator, C j The indicator score corresponding to each risk source indicator is calculated, and n is the number of risk source indicators corresponding to each category information. In this embodiment, the number n of corresponding risk source indicators is different for different category information. For example, when the category information is policy, the corresponding n is 4; when the category information is technology, the corresponding n is 6; when the category information is market, the corresponding n is 4; when the category information is management, the corresponding n is 2.

[0106] Optionally, a risk score is determined according to a category score corresponding to each category of information, including:

[0107] Get the category weight corresponding to each category information.

[0108] In this embodiment, the category weights may be assigned and determined using the Delphi method.

[0109] The risk score is determined based on the category score corresponding to each category information and the category weight corresponding to each category information.

[0110] In actual operation, the calculation process corresponding to the risk score can be expressed as:

[0111]

[0112] Among them, A is the risk score, o i is the category weight corresponding to each category information, B i A category score is given to each category information, where m is the number of category information. In this embodiment, m is 4.

[0113] Optionally, conduct a risk assessment for power load management based on a risk score, including:

[0114] If the risk score is greater than or equal to the first threshold and less than the second threshold, the risk level of the power load management is determined to be high risk.

[0115] In actual operation, preferably, the first threshold value may be set to 0, and the second threshold value may be set to 2. When the calculated risk score is between 0 and 2, the risk level may be considered to be high risk.

[0116] If the risk score is greater than or equal to the second threshold and less than the third threshold, the risk level of the power load management is determined to be high or medium risk.

[0117] In actual operation, preferably, the third threshold value may be set to 4. When the calculated risk score is between 2 and 4, the risk level may be considered to be high-medium risk.

[0118] If the risk score is greater than or equal to the third threshold and less than the fourth threshold, the risk level of the power load management is determined to be medium risk.

[0119] In actual operation, preferably, the fourth threshold may be set to 6. When the calculated risk score is between 4 and 6, the risk level may be considered to be medium risk.

[0120] If the risk score is greater than or equal to the fourth threshold and less than the fifth threshold, the risk level of the power load management is determined to be medium-low risk.

[0121] In actual operation, preferably, the fifth threshold value may be set to 8. When the calculated risk score is between 6 and 8, the risk level may be considered to be medium-low risk.

[0122] If the risk score is greater than or equal to the fifth threshold and less than or equal to the sixth threshold, the risk level of the power load management is determined to be low risk.

[0123] In actual operation, preferably, the sixth threshold value may be set to 10. When the calculated risk score is between 8 and 10, the risk level may be considered to be low risk.

[0124] Optionally, conduct a risk assessment for power load management based on a risk score, including:

[0125] If there is a category score corresponding to the category information that is less than the second threshold, the risk level of the power load management is determined to be high risk.

[0126] According to the setting of risk source indicators, it can be seen that although each risk source indicator is independent, the work characteristics of precise power load management are closely related to the four categories of policy, technology, market and management, and the importance is quite high. The risk factors in one dimension may affect the work of other dimensions. Therefore, from the perspective of evaluation system design, the analytic hierarchy process is used to assign values ​​to all indicators to construct a risk assessment indicator system. There is a possibility that the overall assessment risk is controllable but the risk of individual dimensions is too high.

[0127] Therefore, in the risk assessment system for precise management of power loads, based on the analytic hierarchy process, if any category score corresponding to the calculated category information is less than 2, the risk level can be considered to be high risk, and there is no need to calculate the risk score based on the category score corresponding to each category information.

[0128] The technical solution of the embodiment of the present invention proposes a risk identification system for precise management of power loads and constructs a risk assessment method for the new demand of the new power system for precise management of power loads. Since the risks related to precise management of power loads involve multiple dimensions such as policies, technologies, markets, and management, the risks in different dimensions have different characteristics. When conducting risk assessment, the appropriate methods are also different. When conducting comprehensive assessment, due to the heterogeneity of risks in different dimensions, it is also necessary to consider the use of the indicator system method to conduct an overall assessment and analysis in comparable dimensions. In order to characterize the multiple sources and manifestations of risks in precise management of power loads, the embodiment of the present invention intends to construct a multi-level risk assessment indicator system, form a set of comprehensive assessment method systems and risk response strategy sets for precise management of power loads for new power systems, realize the full process, systematic, and integrated risk management system of "identification-assessment-warning-coordinated control", and support and guarantee power safety and energy security. The technical solution of the embodiment of the present invention focuses on the cutting-edge progress of new power systems and precise management of power loads, combines load management theory with classic risk identification and assessment methods at home and abroad, and proposes a comprehensive and systematic risk identification and assessment theory and method system suitable for precise management of power loads. At the same time, an evaluation index system is constructed to scientifically assess the risks faced by the precise management of different types of power loads in a combination of qualitative and quantitative methods.

[0129] Embodiment 2

[0130] Figure 2 is a schematic diagram of the structure of a risk assessment device for power load management in an embodiment of the present invention. This embodiment can be applied to the risk assessment of power load management. The device can be implemented in software and / or hardware. The device can be integrated in any device that provides the function of risk assessment of power load management, such as Figure 2 As shown, the risk assessment device for power load management specifically includes: an acquisition module 201 , a scoring module 202 and a determination module 203 .

[0131] Wherein, the acquisition module 201 is used to obtain a risk source indicator set for power load management;

[0132] A scoring module 202 is used to score each risk source indicator in the risk source indicator set to obtain an indicator score corresponding to each risk source indicator;

[0133] The determination module 203 is used to determine a risk score according to the indicator score corresponding to each of the risk source indicators, and perform risk assessment on power load management based on the risk score.

[0134] Optionally, the determining module 203 includes:

[0135] An acquisition unit, used to acquire category information corresponding to each risk source indicator in the risk source indicator set;

[0136] A first determining unit, configured to determine a category score corresponding to each of the category information according to the category information corresponding to each of the risk source indicators and the indicator score corresponding to each of the risk source indicators;

[0137] The second determining unit is used to determine the risk score according to the category score corresponding to each category information.

[0138] Optionally, the first determining unit is specifically configured to:

[0139] Obtain the indicator weight corresponding to each risk source indicator;

[0140] For each of the category information, the category score corresponding to the category information is determined according to the indicator score and indicator weight corresponding to each of the risk source indicators under the category information.

[0141] Optionally, the second determining unit is specifically configured to:

[0142] Obtaining a category weight corresponding to each category information;

[0143] The risk score is determined according to the category score corresponding to each category information and the category weight corresponding to each category information.

[0144] Optionally, the determining module 203 is specifically configured to:

[0145] If the risk score is greater than or equal to the first threshold and less than the second threshold, the risk level of the power load management is determined to be high risk;

[0146] If the risk score is greater than or equal to the second threshold and less than the third threshold, the risk level of the power load management is determined to be a high-medium risk;

[0147] If the risk score is greater than or equal to the third threshold and less than the fourth threshold, the risk level of the power load management is determined to be medium risk;

[0148] If the risk score is greater than or equal to the fourth threshold and less than the fifth threshold, the risk level of the power load management is determined to be medium-low risk;

[0149] If the risk score is greater than or equal to the fifth threshold and less than or equal to the sixth threshold, the risk level of the power load management is determined to be low risk.

[0150] Optionally, the determining module 203 is specifically configured to:

[0151] If there is a category score corresponding to the category information that is less than the second threshold, the risk level of the power load management is determined to be high risk.

[0152] The above-mentioned product can execute the risk assessment method for power load management provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0153] Embodiment 3

[0154] Figure 3 A schematic diagram of the structure of an electronic device 30 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0155] like Figure 3 As shown, the electronic device 30 includes at least one processor 31, and a memory connected to the at least one processor 31, such as a read-only memory (ROM) 32, a random access memory (RAM) 33, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 31 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 32 or the computer program loaded from the storage unit 38 to the random access memory (RAM) 33. In the RAM 33, various programs and data required for the operation of the electronic device 30 can also be stored. The processor 31, the ROM 32, and the RAM 33 are connected to each other through a bus 34. An input / output (I / O) interface 35 is also connected to the bus 34.

[0156] A number of components in the electronic device 30 are connected to the I / O interface 35, including: an input unit 36, such as a keyboard, a mouse, etc.; an output unit 37, such as various types of displays, speakers, etc.; a storage unit 38, such as a disk, an optical disk, etc.; and a communication unit 39, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 39 allows the electronic device 30 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0157] The processor 31 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 31 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 31 executes the various methods and processes described above, such as the risk assessment method for power load management:

[0158] Obtain a set of risk source indicators for power load management;

[0159] Scoring each risk source indicator in the risk source indicator set to obtain an indicator score corresponding to each risk source indicator;

[0160] A risk score is determined according to the indicator score corresponding to each of the risk source indicators, and a risk assessment of power load management is performed based on the risk score.

[0161] In some embodiments, the risk assessment method for power load management may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 38. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 30 via the ROM 32 and / or the communication unit 39. When the computer program is loaded into the RAM 33 and executed by the processor 31, one or more steps of the risk assessment method for power load management described above may be performed. Alternatively, in other embodiments, the processor 31 may be configured to execute the risk assessment method for power load management in any other appropriate manner (e.g., by means of firmware).

[0162] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0163] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0164] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0165] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0166] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0167] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0168] In one embodiment, the embodiment of the present invention further includes a computer program product, the computer program product includes a computer program, and when the computer program is executed by a processor, the risk assessment method for power load management of any embodiment of the present invention is implemented.

[0169] In the process of implementation, the computer program product can be written in one or more programming languages ​​or a combination thereof to perform the computer program code of the present invention, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0170] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0171] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A risk assessment method for power load management, characterized in that: include: Obtain a set of risk source indicators for power load management; Scoring each risk source indicator in the risk source indicator set to obtain an indicator score corresponding to each risk source indicator; A risk score is determined according to the indicator score corresponding to each of the risk source indicators, and a risk assessment of power load management is performed based on the risk score.

2. The method according to claim 1, characterized in that The risk score is determined according to the indicator score corresponding to each of the risk source indicators, including: Obtaining category information corresponding to each risk source indicator in the risk source indicator set; Determine the category score corresponding to each of the category information according to the category information corresponding to each of the risk source indicators and the indicator score corresponding to each of the risk source indicators; A risk score is determined according to the category score corresponding to each category information.

3. The method according to claim 2, characterized in that Determining the category score corresponding to each of the category information according to the category information corresponding to each of the risk source indicators and the indicator score corresponding to each of the risk source indicators includes: Obtain the indicator weight corresponding to each risk source indicator; For each of the category information, the category score corresponding to the category information is determined according to the indicator score and indicator weight corresponding to each of the risk source indicators under the category information.

4. The method according to claim 2, characterized in that Determining a risk score according to the category score corresponding to each of the category information includes: Obtaining a category weight corresponding to each category information; The risk score is determined according to the category score corresponding to each category information and the category weight corresponding to each category information.

5. The method according to claim 1, characterized in that: Performing a risk assessment on power load management based on the risk score includes: If the risk score is greater than or equal to the first threshold and less than the second threshold, the risk level of the power load management is determined to be high risk; If the risk score is greater than or equal to the second threshold and less than the third threshold, the risk level of the power load management is determined to be a high-medium risk; If the risk score is greater than or equal to the third threshold and less than the fourth threshold, the risk level of the power load management is determined to be medium risk; If the risk score is greater than or equal to the fourth threshold and less than the fifth threshold, the risk level of the power load management is determined to be medium-low risk; If the risk score is greater than or equal to the fifth threshold and less than or equal to the sixth threshold, the risk level of the power load management is determined to be low risk.

6. The method according to claim 2, characterized in that Performing a risk assessment on power load management based on the risk score includes: If there is a category score corresponding to the category information that is less than the second threshold, the risk level of the power load management is determined to be high risk.

7. A risk assessment device for power load management, characterized in that: include: An acquisition module, used to acquire a set of risk source indicators for power load management; A scoring module, used to score each risk source indicator in the risk source indicator set to obtain an indicator score corresponding to each risk source indicator; The determination module is used to determine the risk score according to the indicator score corresponding to each of the risk source indicators, and to perform risk assessment on power load management based on the risk score.

8. The device according to claim 7, characterized in that The determination module comprises: An acquisition unit, used to acquire category information corresponding to each risk source indicator in the risk source indicator set; A first determining unit, configured to determine a category score corresponding to each of the category information according to the category information corresponding to each of the risk source indicators and the indicator score corresponding to each of the risk source indicators; The second determining unit is used to determine the risk score according to the category score corresponding to each category information.

9. The device according to claim 8, characterized in that The first determining unit is specifically configured to: Obtain the indicator weight corresponding to each risk source indicator; For each of the category information, the category score corresponding to the category information is determined according to the indicator score and indicator weight corresponding to each of the risk source indicators under the category information.

10. The device according to claim 8, characterized in that The second determining unit is specifically configured to: Obtaining a category weight corresponding to each category information; The risk score is determined according to the category score corresponding to each category information and the category weight corresponding to each category information.

11. The device according to claim 7, characterized in that The determination module is specifically used for: If the risk score is greater than or equal to the first threshold and less than the second threshold, the risk level of the power load management is determined to be high risk; If the risk score is greater than or equal to the second threshold and less than the third threshold, the risk level of the power load management is determined to be a high-medium risk; If the risk score is greater than or equal to the third threshold and less than the fourth threshold, the risk level of the power load management is determined to be medium risk; If the risk score is greater than or equal to the fourth threshold and less than the fifth threshold, the risk level of the power load management is determined to be medium-low risk; If the risk score is greater than or equal to the fifth threshold and less than or equal to the sixth threshold, the risk level of the power load management is determined to be low risk.

12. The device according to claim 8, characterized in that The determination module is specifically used for: If there is a category score corresponding to the category information that is less than the second threshold, the risk level of the power load management is determined to be high risk.

13. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the risk assessment method for power load management according to any one of claims 1 to 6.

14. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the risk assessment method for power load management according to any one of claims 1 to 6 when executed.

15. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the risk assessment method for power load management according to any one of claims 1 to 6.

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