Carbon balance multichannel defense method considering multiple factors of power grid information physical society

Abstract

The invention discloses a carbon balance multi-channel defense method considering multiple social factors of power grid information physics, and relates to the technical field of carbon balance multi-channel defense, which comprises the following steps: constructing a multi-dimensional system model, establishing a state evolution model of the multi-dimensional system model based on a state machine theory, and obtaining a system dynamic evolution path; establishing a system risk event assessment framework according to the system dynamic evolution path, determining a risk event type and influence factors, and performing quantitative assessment on the influence degree of each level element of the system to obtain a risk assessment result; a multi-stage defense strategy is made based on a risk assessment result, and dynamic regulation and control of system carbon balance are realized through the multi-stage defense strategy; and establishing a multi-dimensional evaluation index system according to the multi-stage defense strategy, and performing quantitative evaluation on the implementation effect of the defense strategy in each stage. According to the method, collaborative optimization of an information physical social system is realized in the field of power system carbon balance defense, and a new technical path is provided for solving the problem of carbon unbalance under extreme natural disasters.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon balance multi-channel defense, and specifically to a carbon balance multi-channel defense method considering multiple factors of the cyber-physical-social power grid. Background Art

[0002] With the expansion of the scale and the strengthening of the interconnection of the power system, the impact of extreme disasters on the power system has become increasingly significant, which may trigger large-scale power outages and equipment damage. The resilience of the power system, as an important indicator to measure its recovery ability in the face of disasters, is the focus of current research. However, existing research mainly focuses on the impact of disasters on the power supply capacity of the power system, while ignoring the cumulative impact of disasters on the carbon emission trajectory and carbon balance. In addition, natural disasters in the cyber-physical-social system (CPSS) not only affect the power network, but also trigger complex chain effects through the information system and the social system, thereby further exacerbating the carbon imbalance. Therefore, there is an urgent need to study a carbon balance defense method that considers cyber-physical-social factors and is applicable to extreme disaster scenarios. Summary of the Invention

[0003] In view of the above problems, the present invention is proposed.

[0004] Therefore, the present invention provides a carbon balance multi-channel defense method considering multiple factors of the cyber-physical-social power grid, which can solve the problems mentioned in the background art.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: A carbon balance multi-channel defense method considering multiple factors of the cyber-physical-social power grid, including: constructing a multi-dimensional system model, establishing a state evolution model of the multi-dimensional system model based on the state machine theory, and obtaining the system dynamic evolution path according to the state evolution model;

[0006] Establishing a system risk event assessment framework according to the system dynamic evolution path, determining the risk event type and influencing factors, and quantitatively evaluating the influence degree of each hierarchical element of the system to obtain a risk assessment result;

[0007] Formulating a multi-stage defense strategy based on the risk assessment result, and realizing the dynamic regulation of the system carbon balance through the multi-stage defense strategy; the multi-stage defense strategy includes a system prevention strategy, an emergency response strategy and a recovery optimization strategy;

[0008] Establishing a multi-dimensional evaluation index system according to the multi-stage defense strategy, and quantitatively evaluating the implementation effect of each stage of the defense strategy.

[0009] As a preferred solution of the carbon balance multi-channel defense method considering multiple factors of the cyber-physical-social power grid according to the present invention, wherein: the multi-dimensional system model includes an information layer, a physical layer and a social layer;

[0010] The state evolution model describes the system state changes in an event-driven manner, establishing a physical layer device state matrix, an information layer communication state matrix, and a social layer response state matrix; generating logical events based on the physical layer device state matrix; generating timing events based on the information layer communication state matrix; and adjusting the triggering conditions of the logical events and the timing events based on the social layer response state matrix.

[0011] As a preferred solution of the carbon balance multi-channel defense method considering multiple factors of power grid cyber-physical society of the present invention, it includes: establishing a system risk event assessment framework according to the system dynamic evolution path, determining the risk event types and influencing factors, and quantitatively evaluating the influence degree of each hierarchical element of the system to obtain a risk assessment result, including the following steps:

[0012] Identifying natural disaster events based on the physical layer device state matrix, and identifying carbon imbalance events based on the information layer communication state matrix;

[0013] If a natural disaster event occurs, calculate the device damage probability matrix and the communication interruption probability matrix; if any element in the device damage probability matrix is greater than the first preset value, set the corresponding element of the communication interruption probability matrix in the corresponding area to the square of the element of the device damage probability matrix; otherwise, correct the communication interruption probability matrix according to the social layer response state matrix; use the corrected communication interruption probability matrix as the trigger basis for the multi-stage defense strategy.

[0014] As a preferred solution of the carbon balance multi-channel defense method considering multiple factors of power grid cyber-physical society of the present invention, the system prevention strategy includes

[0015] If the state of the renewable energy generation device in the physical layer device state matrix is normal, calculate its maximum dispatchable capacity;

[0016] If the information layer communication state matrix shows that the demand-side response mechanism is available, divide the user response levels according to the maximum dispatchable capacity;

[0017] If the number of divided user response levels is greater than the user participation level in the social layer response state matrix, re-group the responsive users according to the user participation level, and list the extra users in the alternative response sequence;

[0018] Generate a demand-side optimization strategy according to the user response levels and the alternative response sequence; feedback the execution result of the demand-side optimization strategy to the state evolution model.

[0019] As a preferred solution of the carbon balance multi-channel defense method considering multiple factors of the power grid cyber-physical society according to the present invention, wherein: the multi-stage defense strategy includes a system prevention strategy, an emergency response strategy, and a recovery optimization strategy;

[0020] The emergency response strategy includes:

[0021] If a generator set failure is detected in the physical layer device status matrix, calculate the minimum power generation cost of the system;

[0022] If a load communication interruption is indicated in the information layer communication status matrix, calculate a load shedding sequence based on the minimum power generation cost of the system;

[0023] If the user satisfaction in the social layer response status matrix is lower than a second preset value, adjust the user order in the load shedding sequence;

[0024] If the increase in the system power generation cost after adjustment exceeds a third preset value, re-add the exceeded users to the end of the load shedding sequence;

[0025] Perform emergency response according to the finally determined load shedding sequence.

[0026] As a preferred solution of the carbon balance multi-channel defense method considering multiple factors of the power grid cyber-physical society according to the present invention, wherein: the recovery optimization strategy includes controlling the operation of the carbon capture system according to the physical layer device status matrix; monitoring the implementation effect of environmental restoration measures according to the information layer communication status matrix; optimizing the energy consumption structure based on the social layer response status matrix; and updating the operation data of the carbon capture system and the environmental restoration effect data to the state evolution model.

[0027] As a preferred solution of the carbon balance multi-channel defense method considering multiple factors of the power grid cyber-physical society according to the present invention, wherein: establish a multi-dimensional evaluation index system according to the multi-stage defense strategy, and quantitatively evaluate the implementation effect of each stage defense strategy, including the following steps:

[0028] Calculate the system prevention risk index according to the physical layer device status matrix;

[0029] Calculate the emergency response ability index according to the information layer communication status matrix;

[0030] Calculate the recovery ability index according to the social layer response status matrix;

[0031] Use the calculation results of the prevention risk index, the emergency response ability index, and the recovery ability index as the input for updating the state evolution model.

[0032] To further solve the above technical problems, the present invention provides the following technical solutions: A carbon balance multi-channel defense system considering multiple factors of the power grid cyber-physical society, including: A modeling module, configured to construct a multi-dimensional system model, establish a state evolution model of the multi-dimensional system model based on the state machine theory, and obtain the system dynamic evolution path according to the state evolution model;

[0033] An evaluation module, configured to establish a system risk event evaluation framework according to the system dynamic evolution path, determine the risk event type and influencing factors, and quantitatively evaluate the influence degree of each hierarchical element of the system to obtain a risk evaluation result;

[0034] A defense module, configured to formulate a multi-stage defense strategy based on the risk evaluation result, and achieve dynamic regulation of the system carbon balance through the multi-stage defense strategy; The multi-stage defense strategy includes a system prevention strategy, an emergency response strategy, and a recovery and optimization strategy;

[0035] A monitoring module, configured to establish a multi-dimensional evaluation index system according to the multi-stage defense strategy, and quantitatively evaluate the implementation effect of each stage of the defense strategy.

[0036] A computer device, including a memory and a processor, the memory stores a computer program, characterized in that when the processor executes the computer program, the steps of the above-mentioned carbon balance multi-channel defense method considering multiple factors of the power grid cyber-physical society are realized.

[0037] A computer-readable storage medium, on which a computer program is stored, characterized in that when the computer program is executed by a processor, the steps of the above-mentioned carbon balance multi-channel defense method considering multiple factors of the power grid cyber-physical society are realized.

[0038] Advantages of the present invention: The carbon balance multi-channel defense method proposed by the present invention realizes the deep coupling of the physical layer, information layer, and social layer by establishing a multi-dimensional system model, overcoming the limitation of traditional methods that only focus on a single layer; the evolution model based on the state machine theory discretizes the continuous physical process, improving the calculation efficiency of the dynamic characteristics of the system; the risk assessment framework innovatively combines natural disaster events with carbon imbalance events to achieve a comprehensive assessment of system risks; the multi-stage defense strategy establishes a complete carbon balance defense mechanism through the coordinated cooperation of three stages: prevention, emergency response, and recovery. Among them, the adaptive user grouping mechanism in the system prevention strategy improves the flexibility of demand-side response, the emergency response strategy incorporates power generation costs and user satisfaction into the decision-making process to enhance the implementability of measures, and the recovery optimization strategy realizes the closed-loop control of carbon balance; the multi-dimensional evaluation index system ensures the dynamic adaptability of the defense strategy through the evaluation-feedback-optimization mechanism. In particular, incorporating the social response status into the evaluation system improves the practical guiding significance of the evaluation results. Overall, the present invention realizes the collaborative optimization of the cyber-physical-social system in the field of power system carbon balance defense, providing a new technical path for addressing carbon imbalance problems under extreme natural disasters. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0040] Figure 1 It is a schematic diagram of the overall process of the carbon balance multi-channel defense method considering multiple cyber-physical-social factors of the power grid proposed by the present invention;

[0041] Figure 2 It is a schematic diagram of the evolution process of the information-physical-social multi-dimensional power system of the carbon balance multi-channel defense method considering multiple cyber-physical-social factors of the power grid proposed by the present invention;

[0042] Figure 3 It is a diagram of a computer device in the carbon balance multi-channel defense method considering multiple cyber-physical-social factors of the power grid proposed by the present invention. SPECIFIC EMBODIMENTS

[0043] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following provides a detailed description of the specific embodiments of the present invention with reference to the accompanying drawings of the specification. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0044] In the following description, many specific details are set forth to facilitate a thorough understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0045] Example 1, referring to Figure 1 and Figure 2 , which is an embodiment of the present invention, provides a carbon balance multi-channel defense method considering multiple factors of the power grid cyber-physical society.

[0046] S1: Construct a multi-dimensional system model, establish a state evolution model of the multi-dimensional system model based on the state machine theory, and obtain the system dynamic evolution path according to the state evolution model.

[0047] Specifically, the multi-dimensional system model includes an information layer, a physical layer, and a social layer.

[0048] Exemplarily, this embodiment constructs a CPSS multi-dimensional coupling model, combines the finite state machine with historical disaster data, and simulates the system dynamic evolution path under disaster scenarios.

[0049] Furthermore, the state evolution model describes the system state changes in an event-driven manner, and establishes a physical layer device state matrix, an information layer communication state matrix, and a social layer response state matrix. The event-driven manner is a modeling method for system state evolution, which divides the state changes of the system into discrete event sequences, and each event can trigger specific state transitions. Adopting the event-driven manner in the present invention can accurately capture the mutation characteristics of the power system under extreme natural disasters, and discretize the continuous physical process, which is convenient for computer modeling and simulation. The physical layer device state matrix is a mathematical expression describing the operating states of the physical devices in the power system, and the matrix elements include information such as the generator set state, the transmission line state, and the transformer state. This matrix is generated by real-time collecting device operation data, reflects the dynamic changes at the physical level of the power system, and is the basic data for evaluating the reliability and security of the system. The information layer communication state matrix describes the communication connection states of the information network in the power system, and the matrix elements characterize the connectivity, time delay, bandwidth and other characteristics of the communication links. This matrix is obtained through the communication network monitoring system, reflects the transmission characteristics of the information flow in the power system, and is of great significance for the coordinated control and information security of the system. The social layer response state matrix depicts the user behavior and social response characteristics, and the matrix elements include social factors such as user participation, response willingness, and satisfaction. This matrix is obtained through social surveys and user behavior analysis, reflects the impact of the social layer on the operation of the power system, and provides a basis for system optimization decisions from the social dimension.

[0050] Generate logical events according to the physical layer device state matrix, which is a process of converting the state changes of physical devices into discrete events, and trigger corresponding logical events when the device state exceeds the safe range or a fault occurs. This conversion mechanism enables the system to promptly respond to abnormal conditions at the physical level and take corresponding control measures.

[0051] Generate timing events according to the information layer communication state matrix, which maps the state changes of the communication network into a sequence of periodically triggered events, and the triggering period of the timing events is determined according to the importance and urgency of the communication state. This mechanism ensures the real-time performance and reliability of the information flow, and provides a timing guarantee for the coordinated control of the system.

[0052] Adjust the triggering conditions of logical events and timing events based on the social layer response state matrix, and dynamically adjust the thresholds and rules for event triggering according to the changes in social factors. This adjustment mechanism enables the system to adapt to the dynamic changes at the social layer, and improves the practicality and acceptability of the control strategy.

[0053] S2: Establish a system risk event assessment framework according to the system dynamic evolution path, determine the types and influencing factors of risk events, and quantitatively evaluate the influencing degrees of the elements at each level of the system to obtain the risk assessment results.

[0054] Exemplarily, this embodiment designs an event-driven risk assessment framework, defines natural disaster events and human-caused carbon disaster events, and quantifies the comprehensive impact of disasters on power equipment, information networks, and social behaviors.

[0055] Specifically, natural disaster events are identified based on the physical layer device status matrix. The process of identifying the type and degree of disasters by analyzing the abnormal state patterns of physical devices can timely detect the natural disaster threats faced by the system.

[0056] Carbon imbalance events are identified based on the information layer communication status matrix. By analyzing the abnormal patterns of the communication network, signs of carbon emission imbalance in the system are discovered, providing early warnings for carbon balance control.

[0057] According to the social layer response status matrix, the impacts of natural disaster events on the damage degree of power equipment, the interruption degree of information networks, and the social response degree are quantified. The impacts of disasters on all levels of the system are transformed into quantifiable indicators. These indicators comprehensively consider physical damage, information interruption, and social impacts, and can comprehensively evaluate the severity of disasters.

[0058] Taking the impact degree as the trigger basis for the multi-stage defense strategy, a mapping relationship between the disaster assessment results and the defense measures is established, ensuring the pertinence and effectiveness of the defense strategy.

[0059] Furthermore, if a natural disaster event occurs, calculate the device damage probability matrix and the communication interruption probability matrix; if any element in the device damage probability matrix is greater than the first preset value, set the corresponding element in the communication interruption probability matrix to the square of the element in the device damage probability matrix; otherwise, correct the communication interruption probability matrix according to the social layer response status matrix; use the corrected communication interruption probability matrix as the trigger basis for the multi-stage defense strategy.

[0060] S3: Develop a multi-stage defense strategy based on the risk assessment results, and achieve dynamic regulation of the system carbon balance through the multi-stage defense strategy.

[0061] Specifically, the multi-stage defense strategy includes a system prevention strategy, an emergency response strategy, and a recovery and optimization strategy.

[0062] Exemplarily, this embodiment proposes a three-stage carbon balance defense strategy of prevention, emergency, and recovery, optimizing resource allocation, reducing excess carbon emissions from disasters, and enhancing the system recovery ability.

[0063] The system prevention strategy includes calculating the maximum dispatchable capacity of renewable energy power generation equipment if the state of the physical layer equipment state matrix is ​​normal; dividing the user response level according to the maximum dispatchable capacity if the information layer communication state matrix shows that the demand-side response mechanism is available; if the number of divided user response levels is greater than the user participation level in the social layer response state matrix, regrouping the responding users according to the user participation level, and listing the redundant users in the alternative response sequence; generating a demand-side optimization strategy based on the user response level and the alternative response sequence; and feeding back the execution results of the demand-side optimization strategy to the state evolution model.

[0064] The emergency response strategy includes calculating the minimum power generation cost of the system if a generator failure is detected in the physical layer equipment status matrix; calculating the load reduction sequence based on the minimum power generation cost of the system if the information layer communication status matrix shows that the load communication is interrupted; adjusting the user order in the load reduction sequence if the user satisfaction in the social layer response status matrix is ​​lower than the second preset value; re-adding the exceeding users to the end of the load reduction sequence if the increased value of the system power generation cost after adjustment exceeds the third preset value; and executing emergency response according to the finally determined load reduction sequence.

[0065] The restoration optimization strategy includes controlling the operation of the carbon capture system according to the physical layer equipment state matrix; monitoring the implementation effect of environmental remediation measures according to the information layer communication state matrix; optimizing the energy consumption structure based on the social layer response state matrix; and updating the carbon capture system operation data and environmental remediation effect data to the state evolution model.

[0066] Preferably, in combination with the specific implementation of the present invention, the multi-stage defense strategy of S3 targets the following technical problems existing in the prior art: the traditional power system defense method mainly focuses on power supply reliability and ignores the carbon emission problem; the existing carbon balance control method is often a single, static regulation method, which cannot cope with the sudden carbon imbalance caused by extreme natural disasters; in addition, the existing method rarely considers the coupling effect of information systems and social systems, resulting in insufficient adaptability and acceptability of the defense strategy. In response to these problems, the multi-stage defense strategy proposed in the present invention realizes dynamic regulation of carbon balance while ensuring power supply reliability through the coordinated cooperation of the three stages of prevention, emergency and recovery. Specifically, the system prevention strategy establishes a set of adaptive user grouping mechanism by combining renewable energy scheduling and demand-side response, which can flexibly adjust the response strategy according to user participation, avoiding the problem of low user response enthusiasm in traditional methods; the emergency response strategy innovatively incorporates power generation cost and user satisfaction into the load reduction decision-making process, and takes into account economy and user experience while ensuring system safety by dynamically adjusting the load reduction sequence; the recovery optimization strategy combines carbon capture and environmental remediation measures with energy structure adjustment to form a closed-loop carbon balance recovery mechanism.

[0067] Preferably, compared with the prior art, the multi-stage defense strategy of the present invention has the following prominent advantages: the overall perception of the system state is realized through the state matrices in three dimensions of the physical layer, the information layer and the social layer, avoiding the problem of information islands in traditional methods; the event-driven trigger mechanism enables the defense strategy to respond to system changes in a timely manner, improving the real-time performance of control; by incorporating user participation and satisfaction into the decision-making process, the implementability of the defense strategy is enhanced; in addition, the entire defense process forms a complete closed loop of prevention, emergency response, and recovery, with information sharing and mutual cooperation among all stages, realizing the continuous optimization and regulation of carbon balance. It should be noted that the advantages of this solution are based on the availability of state data at three levels, so a perfect data collection and processing mechanism needs to be established in practical applications.

[0068] S4: Establish a multi-dimensional evaluation index system according to the multi-stage defense strategy, and quantitatively evaluate the implementation effects of the defense strategies at all stages.

[0069] Exemplarily, in this embodiment, a carbon balance defense effect evaluation system is constructed, and prevention risk indicators, emergency response ability indicators, and recovery ability indicators are designed to quantitatively evaluate the defense strategy.

[0070] Calculate the system prevention risk indicator according to the physical layer device state matrix;

[0071] Calculate the emergency response ability indicator according to the information layer communication state matrix;

[0072] Calculate the recovery ability indicator according to the social layer response state matrix;

[0073] Use the calculation results of the prevention risk indicator, the emergency response ability indicator, and the recovery ability indicator as the input for updating the state evolution model.

[0074] In the specific embodiments of the present invention, the multi-dimensional evaluation index system in S4 addresses the following problems existing in the prior art: traditional power system evaluation methods mainly focus on power supply reliability indicators and lack a comprehensive evaluation of the carbon balance defense effect; existing carbon emission evaluation methods are often single-dimensional static evaluations and cannot reflect the dynamic defense effect of the system under extreme natural disasters; in addition, the existing evaluation systems rarely consider the impacts of information system availability and social group response, resulting in one-sided evaluation results and insufficient practicality. In response to these problems, the present invention constructs a set of multi-dimensional evaluation index systems, taking the state matrices of the physical layer, information layer, and social layer as evaluation inputs, and calculating the system's risk prevention index, emergency response ability index, and recovery ability index respectively. Among them, the risk prevention index is based on the physical layer device state matrix, considering factors such as device availability, network topology, and power generation capacity, and can comprehensively evaluate the effectiveness of the system's preventive measures; the emergency response ability index is based on the information layer communication state matrix, combining features such as communication reliability, information transmission delay, and control response speed, and reflects the system's emergency response ability in extreme situations; the recovery ability index is based on the social layer response state matrix, integrating elements such as user participation, social recognition, and environmental restoration effect, and reflects the social acceptability of the system during the recovery process.

[0075] Preferably, compared with the prior art, the multi-dimensional evaluation index system of the present invention has the following advantages: comprehensive collection of evaluation data is achieved through the state matrices of the three dimensions of the physical layer, information layer, and social layer, avoiding the problem of single evaluation dimension in traditional methods; the evaluation results are directly fed back to the state evolution model, forming a closed-loop mechanism of evaluation-feedback-optimization, improving the dynamic adaptability of the defense strategy; by organically combining the indicators of the three stages of prevention, emergency response, and recovery, a full-process evaluation of the defense effect is realized. In particular, this solution innovatively incorporates the social layer response state into the evaluation system, not only considering the defense effect at the technical level but also paying attention to the social impact of the defense measures, making the evaluation results more practically guiding. It should be noted that the effectiveness of this evaluation system depends on the accuracy and timeliness of the state data of the three layers. Therefore, a reliable data quality guarantee mechanism needs to be established in practical applications.

[0076] In summary, the carbon balance multi-channel defense method proposed by the present invention realizes the deep coupling of the physical layer, information layer, and social layer by establishing a multi-dimensional system model, overcoming the limitation of traditional methods that only focus on a single layer; the evolution model based on the state machine theory discretizes the continuous physical process, improving the computational efficiency of the system's dynamic characteristics; the risk assessment framework innovatively combines natural disaster events with carbon imbalance events to achieve a comprehensive assessment of system risks; the multi-stage defense strategy establishes a complete carbon balance defense mechanism through the coordinated cooperation of three stages: prevention, emergency response, and recovery. Among them, the adaptive user grouping mechanism in the system prevention strategy improves the flexibility of demand-side response, the emergency response strategy incorporates power generation costs and user satisfaction into the decision-making process to enhance the implementability of measures, and the recovery optimization strategy realizes the closed-loop regulation of carbon balance; the multi-dimensional evaluation index system ensures the dynamic adaptability of the defense strategy through the evaluation-feedback-optimization mechanism. In particular, incorporating the social response status into the evaluation system improves the practical guiding significance of the evaluation results. Overall, the present invention realizes the collaborative optimization of the cyber-physical-social system in the field of power system carbon balance defense, providing a new technical path for addressing carbon imbalance problems under extreme natural disasters.

[0077] Embodiment 2, which is an embodiment of the present invention, provides a carbon balance multi-channel defense system considering multiple cyber-physical-social factors of the power grid, including:

[0078] A modeling module, configured to construct a multi-dimensional system model, establish a state evolution model of the multi-dimensional system model based on the state machine theory, and obtain the system's dynamic evolution path according to the state evolution model;

[0079] An evaluation module, configured to establish a system risk event evaluation framework according to the system's dynamic evolution path, determine the types and influencing factors of risk events, and quantitatively evaluate the influencing degree of each hierarchical element of the system to obtain a risk assessment result;

[0080] A defense module, configured to formulate a multi-stage defense strategy based on the risk assessment result, and realize the dynamic regulation of the system's carbon balance through the multi-stage defense strategy; the multi-stage defense strategy includes a system prevention strategy, an emergency response strategy, and a recovery optimization strategy;

[0081] A monitoring module, configured to establish a multi-dimensional evaluation index system according to the multi-stage defense strategy, and quantitatively evaluate the implementation effect of each stage of the defense strategy.

[0082] Embodiment 3, referring to Figure 3, which is an embodiment of the present invention and is different from the previous embodiment in that: when the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or a part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0083] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch instructions from the instruction execution system, apparatus, or device and execute the instructions), or in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in combination with an instruction execution system, apparatus, or device.

[0084] More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connection parts (electronic devices) having one or more wirings, portable computer disk cartridges (magnetic devices), random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memories), fiber optic devices, and portable compact disc read-only memories (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or otherwise processing it as necessary, and then storing it in a computer memory.

[0085] It should be understood that each part of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application specific integrated circuits with suitable combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0086] Embodiment 4, an embodiment of the present invention, provides a carbon balance multi-channel defense method considering multiple factors of the power grid cyber-physical-social system, and details the carbon balance multi-channel defense method of the present invention considering multiple factors of the power grid cyber-physical-social system, including the following steps:

[0087] 1. Construct a CPSS multi-dimensional coupling model, combine a finite state machine with historical disaster data, and simulate the system's dynamic evolution path under disaster scenarios;

[0088] 2. Design an event-driven risk assessment framework, define natural disaster events and human carbon disaster events, and quantify the comprehensive impact of disasters on power equipment, information networks, and social behaviors;

[0089] 3. Propose a three-stage carbon balance defense strategy of prevention, emergency, and recovery, optimize resource allocation, reduce excess carbon emissions during disasters, and enhance the system's recovery ability;

[0090] 4. Construct a carbon balance defense effect evaluation system, design prevention risk indicators, emergency response ability indicators, and recovery ability indicators, and quantitatively evaluate the defense strategy.

[0091] The following is a detailed description of each step:

[0092] (1) Analyze the interaction between the information system, physical system, and social system under disaster scenarios, and establish a coupling relationship model among the three; use a finite state machine to simulate the system operation state and its transition conditions, including the fault state of power equipment, the communication interruption state of the information network, and the changes in social behavior's demand for the system; collect historical disaster data, such as the occurrence characteristics of typhoons, floods, and wildfires and their impacts on the power system, and combine multi-scenario simulations to evaluate the system's dynamic evolution path; simulate the system operation logic under the influence of disasters, combine discrete event processes with continuous physical evolution, and truly reflect the complex dynamic behavior of the system under disaster scenarios.

[0093] (2) Define natural disaster events, including the direct physical impacts of natural phenomena such as wildfires, floods, and landslides on the power system, such as equipment failures, line damages, and power grid topology changes; define human-induced carbon disaster events, describe the cumulative effects of carbon emission imbalances triggered by natural disasters, and set thresholds for changes in carbon emissions and carbon sinks as trigger conditions; quantify the impacts of disasters on primary equipment (such as transmission lines, transformers), secondary equipment (such as sensors, data acquisition devices), and communication link interruptions in the information network; analyze social behaviors, such as changes in user electricity demand, implementation of repair and restoration measures, and further evaluate the comprehensive impacts of the social level on the carbon emission and carbon sink trajectories; construct trigger criteria and processing procedures for disaster events to form a systematic risk assessment method.

[0094] (3) Propose a three-stage carbon balance defense strategy for prevention, emergency, and restoration. Prevention stage: Utilize disaster prediction and historical data to optimize the power grid resource allocation, increase the proportion of renewable energy use, and reduce carbon emission risks before disasters; combine demand-side management strategies to reduce electricity loads through user behavior optimization and lower the carbon emission level of the system. Emergency stage: After a disaster occurs, adopt emergency repair strategies to restore power lines and communication networks, reduce load losses caused by network failures; optimize power dispatching and supply-demand balance to minimize the excess carbon emission effect. Restoration stage: After the disaster subsides, formulate post-disaster path optimization strategies to restore the carbon emission and carbon sink trajectories of the system to an ideal state; utilize carbon capture technology and environmental restoration measures to make up for the damage to carbon sinks caused by the cumulative effects of disasters and enhance the long-term carbon balance ability of the system.

[0095] (4) Construct an evaluation system for the carbon balance defense effect. Prevention risk indicators: Based on historical data and simulation results, evaluate the excess carbon emission risk before disasters, and calculate the emission reduction capacity by quantifying the carbon sink potential and the effect of energy optimization allocation. Emergency capacity indicators: Quantify the contributions of emergency repair and disaster control measures to carbon emission reduction, including the comprehensive effects of communication restoration, load reduction, and environmental protection measures. Restoration capacity indicators: Evaluate the carbon emission reduction and carbon sink increase capabilities during the restoration stage, and calculate the time and path optimization efficiency for the system to achieve the carbon balance goal after disasters. Combining the above indicators, establish a quantitative evaluation system to scientifically verify the effectiveness of defense strategies at different stages and provide improvement suggestions.

[0096] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A multi-layer carbon balance defense method that considers multiple factors of power grid, information, physics and society, characterized by: include: Constructing a multidimensional system model, and establishing a state evolution model of the multidimensional system model based on state machine theory, and obtaining a system dynamic evolution path according to the state evolution model; Establish a system risk event assessment framework based on the system dynamic evolution path, determine the risk event type and influencing factors, and quantitatively assess the impact of elements at all levels of the system to obtain risk assessment results; Formulate a multi-stage defense strategy based on the risk assessment results, and realize dynamic regulation of system carbon balance through the multi-stage defense strategy; the multi-stage defense strategy includes a system prevention strategy, an emergency response strategy and a recovery optimization strategy; A multi-dimensional evaluation index system is established based on the multi-stage defense strategy, and a quantitative evaluation is performed on the implementation effect of the defense strategy at each stage.

2. The carbon balance multi-channel defense method considering multiple factors of power grid information, physics and society as claimed in claim 1 is characterized by: The multi-dimensional system model includes information layer, physical layer and social layer; The state evolution model uses an event-driven approach to describe system state changes, establishes a physical layer device state matrix, an information layer communication state matrix, and a social layer response state matrix; generates logical events based on the physical layer device state matrix; generating a timing event according to the information layer communication state matrix; The triggering conditions of the logic events and the timing events are adjusted based on the social layer response state matrix.

3. The carbon balance multi-channel defense method considering multiple factors of power grid information, physics and society as claimed in claim 2 is characterized by: According to the dynamic evolution path of the system, a system risk event assessment framework is established to determine the risk event type and influencing factors, and the impact of each level of the system is quantitatively assessed to obtain the risk assessment results, including the following steps: Identify natural disaster events based on the physical layer device state matrix, and identify carbon imbalance events based on the information layer communication state matrix; If a natural disaster event occurs, the equipment damage probability matrix and the communication interruption probability matrix are calculated; if any element in the equipment damage probability matrix is ​​greater than a first preset value, the communication interruption probability matrix element of the corresponding area is set to the square of the equipment damage probability matrix element; otherwise, the communication interruption probability matrix is ​​corrected according to the social layer response state matrix; the corrected communication interruption probability matrix is ​​used as the triggering basis of the multi-stage defense strategy.

4. The carbon balance multi-channel defense method considering multiple factors of power grid information, physics and society as claimed in claim 3 is characterized by: The system prevention strategy includes, If the state of the renewable energy power generation equipment in the physical layer equipment state matrix is ​​normal, then calculating its maximum dispatchable capacity; If the information layer communication status matrix shows that the demand side response mechanism is available, dividing the user response level according to the maximum dispatchable capacity; If the number of user response levels after division is greater than the user participation level in the social layer response state matrix, the responding users are regrouped according to the user participation level, and the redundant users are included in the candidate response sequence; generating a demand-side optimization strategy according to the user response level and the alternative response sequence; The execution result of the demand-side optimization strategy is fed back to the state evolution model.

5. The carbon balance multi-channel defense method considering multiple factors of power grid information, physics and society as claimed in claim 4 is characterized by: The multi-stage defense strategy includes a system prevention strategy, an emergency response strategy, and a recovery optimization strategy; The emergency response strategies include: If a generator set failure is detected in the physical layer device state matrix, the minimum power generation cost of the system is calculated; If the information layer communication status matrix indicates that load communication is interrupted, calculating a load reduction sequence based on the minimum power generation cost of the system; If the user satisfaction in the social layer response state matrix is ​​lower than a second preset value, adjusting the user order in the load reduction sequence; If the increased value of the system power generation cost after adjustment exceeds the third preset value, the excess users will be re-added to the end of the load reduction sequence; The emergency response is performed according to the load reduction sequence finally determined.

6. The carbon balance multi-channel defense method considering multiple factors of power grid information, physics and society as claimed in claim 5 is characterized by: The restoration optimization strategy includes controlling the operation of the carbon capture system according to the physical layer equipment state matrix; monitoring the implementation effect of environmental remediation measures according to the information layer communication state matrix; optimizing the energy consumption structure based on the social layer response state matrix; and updating the carbon capture system operation data and the environmental remediation effect data to the state evolution model.

7. The carbon balance multi-channel defense method considering multiple factors of power grid information, physics and society as claimed in claim 6 is characterized by: A multi-dimensional evaluation index system is established based on the multi-stage defense strategy, and a quantitative evaluation is performed on the implementation effect of the defense strategy at each stage, including the following steps: Calculate system prevention risk indicators based on the physical layer device status matrix; Calculate the emergency capability index according to the information layer communication state matrix; calculating a resilience indicator based on the societal level response state matrix; The calculation results of the prevention risk index, the emergency capability index and the recovery capability index are used as inputs for updating the state evolution model.

8. A carbon balance multi-channel defense system considering multiple factors of power grid information, physics and society, based on the carbon balance multi-channel defense method considering multiple factors of power grid information, physics and society as described in any one of claims 1 to 7, characterized in that: include, A modeling module, used to construct a multidimensional system model, and establish a state evolution model of the multidimensional system model based on the state machine theory, and obtain a system dynamic evolution path according to the state evolution model; An assessment module is used to establish a system risk event assessment framework according to the system dynamic evolution path, determine the risk event type and influencing factors, and quantitatively assess the impact of elements at all levels of the system to obtain risk assessment results; A defense module, used to formulate a multi-stage defense strategy based on the risk assessment results, and to achieve dynamic regulation of the system carbon balance through the multi-stage defense strategy; the multi-stage defense strategy includes a system prevention strategy, an emergency response strategy, and a recovery optimization strategy; The monitoring module is used to establish a multi-dimensional evaluation index system according to the multi-stage defense strategy and to quantitatively evaluate the implementation effect of the defense strategy at each stage.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the carbon balance multi-line defense method considering multiple factors of power grid information, physics and society as described in any one of claims 1 to 7 are implemented.

10. 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 carbon balance multi-channel defense method considering multiple factors of power grid information, physics and society as described in any one of claims 1 to 7 are implemented.

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