Operation data optimization method and system of virtual power plant

By analyzing and optimizing the transmission and encryption methods of virtual power plant operation data, the problem of insufficient security of virtual power plant operation data optimization system is solved, the security and stability of data transmission are improved, and data leakage and tampering are prevented.

CN119272290AInactive Publication Date: 2025-01-07DONGFANG ELECTRONICS CO LTD

Patent Information

Application Number
CN202411803021.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-10
Publication Date
2025-01-07
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The operating data optimization system of existing virtual power plants is insufficiently secure, and there are problems with network delays and packet loss, resulting in untimely data transmission and the risks of unauthorized access and leakage.

Method used

By collecting and processing virtual power plant operation data, the transmission monitoring evaluation index and encryption reliability evaluation index are obtained, the security evaluation index is comprehensively analyzed, and the data transmission, encryption and security methods are optimized and adjusted, including the use of ping tools, network traffic analyzers, Spectrum analyzer, entropy analysis tools and key management servers implement balanced signal processing, forward confidentiality cipher suite, end-to-end encryption and multi-factor authentication.

Benefits of technology

Improve the transmission quality and stability of virtual power plant operation data, ensure the security of data during transmission, prevent leakage and tampering, and reduce system failures and interruptions caused by security incidents.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention discloses an operation data optimization method and system of a virtual power plant. The method relates to the technical field of data processing, and comprises the following steps: collecting and processing virtual power plant operation data; analyzing the operation data of the virtual power plant; and comprehensively analyzing, optimizing and adjusting the security of the operation data of the virtual power plant. According to the method, the virtual power plant operation data is acquired and processed, the virtual power plant operation data is analyzed, the virtual power plant operation data transmission monitoring evaluation index and the virtual power plant operation data encryption reliability evaluation index are obtained, and the virtual power plant operation data security is comprehensively analyzed, optimized and adjusted. The security of the operation data optimization method and system of the virtual power plant is improved, and the problem that the security of the operation data optimization method and system of the virtual power plant is insufficient in the prior art is solved.
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Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and system for optimizing operation data of a virtual power plant. Background Art

[0002] With the background of global response to climate change, especially in terms of power supply structure and load characteristics. As a new type of power system solution, virtual power plant can effectively integrate distributed energy resources and optimize the operation of power system. With the rapid development of renewable energy and the growth of electricity demand, traditional power system is facing more and more challenges. Virtual power plant can provide flexible power regulation capability and enhance the stability and reliability of power grid by aggregating distributed energy, such as wind power generation and solar power generation. The development of virtual power plant is inseparable from advanced information and communication technology and computing methods. With the development of technologies such as artificial intelligence and big data, virtual power plant can process massive data more efficiently and optimize resource scheduling and market trading strategies. At the same time, the reform of the power market also provides a broad space for the development of virtual power plant.

[0003] The existing virtual power plant operation data optimization system coordinates and controls distributed energy through coordinated control technology to ensure the quality of electricity; improves historical load characteristics and load forecasts through system instruction automatic allocation technology, and automatically allocates control instructions; and aggregates and optimizes distributed power sources, energy storage systems, controllable loads, electric vehicles and other resources through multi-resource aggregation and optimization technology.

[0004] For example, the invention patent with publication number: CN113378169A discloses a security protection system for virtual power plant operation, including: a network security module, a host protection security module, an application software security module and a data security module are arranged in the security protection system for virtual power plant operation. By performing security protection on network integrity, host protection security, application software security and data security, the safety performance of the virtual power plant is improved from multiple angles, the smooth operation of the virtual power plant intelligent management and control platform is ensured, and a safe and reliable hardware, software and data resource environment is provided for the virtual power plant intelligent management and control platform.

[0005] For example, the invention patent with announcement number: CN117332236B discloses a data tracking and detection method, device and storage medium for a virtual power plant, including: marking the real-time operation data of the virtual power plant as each first characteristic element according to a preset attribute type; inputting the real-time operation data into the energy storage configuration model to generate an energy storage configuration result; inputting the real-time operation data into the configuration prediction model for tracking and prediction to generate a prediction result; if the prediction result does not match the energy storage configuration result, obtaining the historical operation data corresponding to the prediction result, and marking the historical operation data as each second characteristic element according to the preset attribute type; if the first characteristic element is not exactly the same as the second characteristic element, detecting whether the real-time operation data is abnormal, and if so, correcting the abnormal real-time operation data; if not, updating the training set of the prediction model; if the prediction result matches the energy storage configuration result, directly outputting the energy storage configuration result.

[0006] However, in the process of implementing the above technical solution, it is found that the above technology has at least the following technical problems: This method has the problem of insufficient security assessment of the virtual power plant's operating data. During the virtual power plant's operating data transmission process, due to network delays and data packet loss, the virtual power plant's operating data is not transmitted in a timely manner. If the virtual power plant's operating data is accessed or leaked without authorization, there will be security risks in the virtual power plant's operating data. There is a problem of insufficient security in the virtual power plant's operating data optimization method and system. Summary of the invention

[0007] The present invention solves the problem of insufficient security of a method and system for optimizing operation data of a virtual power plant in the prior art by providing a method and system for optimizing operation data of a virtual power plant, thereby improving the security of a method and system for optimizing operation data of a virtual power plant.

[0008] The present invention provides an operation data optimization method for a virtual power plant, comprising the following steps: collecting and processing the operation data of the virtual power plant; analyzing the operation data of the virtual power plant to obtain a monitoring and evaluation index for the operation data transmission of the virtual power plant and an evaluation index for the encryption reliability of the operation data of the virtual power plant; comprehensively analyzing to obtain a security evaluation index for the operation data of the virtual power plant; comparing and analyzing the monitoring and evaluation index for the operation data transmission of the virtual power plant with a first threshold value of the monitoring and evaluation index for the operation data transmission of the virtual power plant, and optimizing and adjusting the monitoring method for the operation data transmission of the virtual power plant; comparing and analyzing the encryption reliability evaluation index for the operation data of the virtual power plant with a second threshold value of the encryption reliability evaluation index for the operation data of the virtual power plant, and optimizing and adjusting the encryption reliability method for the operation data of the virtual power plant; comparing and analyzing the security evaluation index for the operation data of the virtual power plant with a comprehensive threshold value of the security evaluation index for the operation data of the virtual power plant, and optimizing and adjusting the security method for the operation data of the virtual power plant.

[0009] Furthermore, the specific steps of collecting and processing the virtual power plant operation data are: obtaining the original operation data of the virtual power plant through sensor equipment; cleaning and denoising the original operation data of the virtual power plant to obtain the virtual power plant operation data, and the virtual power plant operation data includes virtual power plant operation data transmission monitoring data and virtual power plant operation data encryption reliability data.

[0010] Furthermore, the specific process of obtaining the virtual power plant operation data transmission monitoring and evaluation index is: obtaining the network delay of the preset virtual power plant operation data transmission monitoring and detection point through the ping tool; obtaining the virtual power plant operation data packet loss rate of the preset virtual power plant operation data transmission monitoring and detection point through the network traffic analyzer; obtaining the pulse noise of the preset virtual power plant operation data transmission monitoring and detection point through the spectrum analyzer; obtaining the virtual power plant operation data transmission rate of the preset virtual power plant operation data transmission monitoring and detection point through the network traffic analyzer; obtaining the radio frequency strength of the preset virtual power plant operation data transmission monitoring and detection point through the radio frequency signal strength meter; obtaining the signal power of the preset virtual power plant operation data transmission monitoring and detection point through the spectrum analyzer; the virtual power plant operation data transmission monitoring data includes network delay, virtual power plant operation data packet loss rate, pulse noise, virtual power plant operation data transmission rate, radio frequency strength and signal power; analyzing the virtual power plant operation data transmission monitoring data to obtain the virtual power plant operation data transmission monitoring and evaluation index.

[0011] Furthermore, the specific steps of obtaining the virtual power plant operation data encryption reliability evaluation index are: obtaining the key entropy of the preset virtual power plant operation data encryption reliability detection point through an entropy analysis tool; obtaining the key length of the preset virtual power plant operation data encryption reliability detection point through cryptographic analysis software; obtaining the pulse noise of the preset virtual power plant operation data encryption reliability detection point through a spectrum analyzer; obtaining the radio frequency strength of the preset virtual power plant operation data encryption reliability detection point through a radio frequency signal strength meter; obtaining the signal power of the preset virtual power plant operation data encryption reliability detection point through a spectrum analyzer; obtaining the virtual power plant operation data encryption efficiency of the preset virtual power plant operation data encryption reliability detection point through an encryption performance testing tool; the virtual power plant operation data encryption reliability data includes key entropy, key length, pulse noise, radio frequency strength, signal power and virtual power plant operation data encryption efficiency to analyze the virtual power plant operation data encryption reliability data to obtain the virtual power plant operation data encryption reliability evaluation index.

[0012] Furthermore, the specific steps of the comprehensive analysis to obtain the virtual power plant operation data security assessment index are: obtaining the key update frequency of the preset virtual power plant operation data security detection point through the key management server; and obtaining the virtual power plant operation data security assessment index through comprehensive analysis of the virtual power plant operation data transmission monitoring assessment index, the virtual power plant operation data encryption reliability assessment index and the key update frequency.

[0013] Furthermore, the specific steps of optimizing and adjusting the virtual power plant operation data transmission monitoring method are as follows: if the virtual power plant operation data transmission monitoring and evaluation index is lower than or equal to the first threshold value of the virtual power plant operation data transmission monitoring and evaluation index, there is no need to optimize and adjust the virtual power plant operation data transmission monitoring method; if the virtual power plant operation data transmission monitoring and evaluation index is greater than the first threshold value of the virtual power plant operation data transmission monitoring and evaluation index, equalization and filtering signal processing technology are used to reduce the impact of pulse noise on virtual power plant operation data transmission, forward secrecy can be achieved by using ECDHE or DHE cryptographic suites, and cryptographic identification means are used.

[0014] Furthermore, the specific steps of optimizing and adjusting the method for encrypting the virtual power plant operation data are as follows: if the virtual power plant operation data encryption reliability evaluation index is greater than or equal to the second threshold value of the virtual power plant operation data encryption reliability evaluation index, there is no need to optimize and adjust the virtual power plant operation data encryption reliability method; if the virtual power plant operation data encryption reliability evaluation index is lower than the second threshold value of the virtual power plant operation data encryption reliability evaluation index, end-to-end encryption is implemented, and only the sender and receiver can decrypt the virtual power plant operation data, and HSM is introduced to protect the encryption key.

[0015] Furthermore, the specific steps of the method for optimizing and adjusting the security of virtual power plant operation data are: extracting the comprehensive threshold of the virtual power plant operation data security assessment index in the virtual power plant database, and comparing the virtual power plant operation data security assessment index with the comprehensive threshold of the virtual power plant operation data security assessment index; if the virtual power plant operation data security assessment index is greater than or equal to the comprehensive threshold of the virtual power plant operation data security assessment index, there is no need to optimize and adjust the virtual power plant operation data security method.

[0016] Furthermore, the method for optimizing and adjusting the security of virtual power plant operation data also includes: if the virtual power plant operation data security assessment index is lower than the comprehensive threshold of the virtual power plant operation data security assessment index, the data is classified and marked, security measures are taken according to the sensitivity of the virtual power plant operation data, and multi-factor authentication is implemented.

[0017] The present invention provides an operation data optimization system for a virtual power plant, comprising a module for collecting operation data of a virtual power plant, a module for analyzing operation data of a virtual power plant, a comprehensive analysis module and a module for optimizing and adjusting the security of operation data of a virtual power plant: a module for collecting operation data of a virtual power plant, which is used for collecting and processing operation data of a virtual power plant; a module for analyzing operation data of a virtual power plant, which is used for analyzing operation data of a virtual power plant, obtaining an operation data transmission monitoring and evaluation index of a virtual power plant and an operation data encryption reliability evaluation index of a virtual power plant; a comprehensive analysis module, which is used for comprehensively analyzing and obtaining an operation data security evaluation index of a virtual power plant; a module for optimizing and adjusting the operation data security evaluation method of a virtual power plant, which is used for comparing and analyzing the operation data transmission monitoring and evaluation index of a virtual power plant with a first threshold value of the operation data transmission monitoring and evaluation index of a virtual power plant, and optimizing and adjusting the operation data transmission monitoring method of a virtual power plant; comparing and analyzing the operation data encryption reliability evaluation index of a virtual power plant with a second threshold value of the operation data encryption reliability evaluation index of a virtual power plant, and optimizing and adjusting the operation data encryption reliability method of a virtual power plant; comparing and analyzing the operation data security evaluation index of a virtual power plant with a comprehensive threshold value of the operation data security evaluation index of a virtual power plant, and optimizing and adjusting the operation data security method of a virtual power plant.

[0018] One or more technical solutions provided by the present invention have at least the following technical effects or advantages: 1. By collecting and processing the virtual power plant operation data, analyzing the virtual power plant operation data, obtaining the virtual power plant operation data transmission monitoring evaluation index and the virtual power plant operation data encryption reliability evaluation index, comprehensively analyzing and optimizing the virtual power plant operation data security method, improving a virtual power plant operation data optimization method and system security, and solving the problem of insufficient virtual power plant operation data optimization method and system security in the prior art.

[0019] 2. By analyzing the virtual power plant operation data, we can obtain the virtual power plant operation data transmission monitoring evaluation index and the virtual power plant operation data encryption reliability evaluation index, so as to timely discover problems in the virtual power plant operation data transmission, such as delay, packet loss, noise, etc., so as to take corresponding measures to improve the quality and stability of data transmission, ensure the security of virtual power plant operation data during transmission, and prevent data leakage and tampering.

[0020] 3. Through comprehensive analysis and optimization and adjustment of the virtual power plant operation data security methods, potential security vulnerabilities and risks are discovered, and corresponding measures are taken for optimization and adjustment, thereby improving the security of the virtual power plant operation data, preventing data leakage, tampering and destruction, reducing system failures and interruptions caused by security incidents, and ensuring the stable operation of the virtual power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1A flow chart of a method for optimizing operation data of a virtual power plant provided by an embodiment of the present invention; Figure 2 A schematic diagram of a virtual power plant operation data security assessment index function provided by an embodiment of the present invention; Figure 3 A schematic structural diagram of an operation data optimization system for a virtual power plant provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The embodiments of the present invention solve the problem of insufficient security of a method and system for optimizing the operating data of a virtual power plant in the prior art by providing a method and system for optimizing the operating data of a virtual power plant. The operating data of the virtual power plant is collected and processed, the operating data of the virtual power plant is analyzed, and a virtual power plant operating data transmission monitoring evaluation index and a virtual power plant operating data encryption reliability evaluation index are obtained. A method for comprehensively analyzing and optimizing the security of the operating data of the virtual power plant is used to improve the security of a method and system for optimizing the operating data of a virtual power plant.

[0023] The technical solution in the embodiment of the present invention is to solve the above-mentioned problem that there is a method for optimizing the operation data of a virtual power plant and the system security is insufficient. The overall idea is as follows: By collecting and processing the virtual power plant operation data, analyzing the virtual power plant operation data, obtaining the virtual power plant operation data transmission monitoring evaluation index and the virtual power plant operation data encryption reliability evaluation index, comprehensively analyzing and optimizing the virtual power plant operation data security method, a virtual power plant operation data optimization method and system security are improved.

[0024] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0025] Figure 1 A flow chart of a method for optimizing operation data of a virtual power plant provided by an embodiment of the present invention is as follows: Figure 1As shown, the method is applied to an operation data optimization system of a virtual power plant, and the method includes the following steps: collecting and processing the operation data of the virtual power plant; analyzing the operation data of the virtual power plant to obtain the virtual power plant operation data transmission monitoring and evaluation index and the virtual power plant operation data encryption reliability evaluation index; comprehensively analyzing to obtain the virtual power plant operation data security evaluation index; comparing and analyzing the virtual power plant operation data transmission monitoring and evaluation index with the first threshold of the virtual power plant operation data transmission monitoring and evaluation index, and optimizing and adjusting the virtual power plant operation data transmission monitoring method; comparing and analyzing the virtual power plant operation data encryption reliability evaluation index with the second threshold of the virtual power plant operation data encryption reliability evaluation index, and optimizing and adjusting the virtual power plant operation data encryption reliability method; comparing and analyzing the virtual power plant operation data security evaluation index with the comprehensive threshold of the virtual power plant operation data security evaluation index, and optimizing and adjusting the virtual power plant operation data security method.

[0026] Furthermore, the specific steps of collecting and processing the virtual power plant operation data are: obtaining the original operation data of the virtual power plant through sensor equipment; cleaning and denoising the original operation data of the virtual power plant to obtain the virtual power plant operation data, and the virtual power plant operation data includes virtual power plant operation data transmission monitoring data and virtual power plant operation data encryption reliability data.

[0027] Furthermore, the specific process of obtaining the virtual power plant operation data transmission monitoring and evaluation index is as follows: obtaining the network delay of the preset virtual power plant operation data transmission monitoring and detection point through the ping tool; obtaining the virtual power plant operation data packet loss rate of the preset virtual power plant operation data transmission monitoring and detection point through the network traffic analyzer; obtaining the pulse noise of the preset virtual power plant operation data transmission monitoring and detection point through the spectrum analyzer; obtaining the virtual power plant operation data transmission rate of the preset virtual power plant operation data transmission monitoring and detection point through the network traffic analyzer; obtaining the radio frequency strength of the preset virtual power plant operation data transmission monitoring and detection point through the radio frequency signal strength meter; obtaining the signal power of the preset virtual power plant operation data transmission monitoring and detection point through the spectrum analyzer; the virtual power plant operation data transmission monitoring data includes network delay, virtual power plant operation data packet loss rate, pulse noise, virtual power plant operation data transmission rate, radio frequency strength and signal power; analyzing the virtual power plant operation data transmission monitoring data to obtain the virtual power plant operation data transmission monitoring and evaluation index.

[0028] In this embodiment, the specific method for analyzing and obtaining the virtual power plant operation data transmission monitoring and evaluation index is as follows: ; ; ; ; ; The preset virtual power plant operation data transmission monitoring and detection points are numbered in sequence. Indicates the number of the virtual power plant operation data transmission monitoring and detection point, , Indicates the total number of virtual power plant operation data transmission monitoring detection points.

[0029] Indicates The virtual power plant operation data transmission monitoring evaluation index of the virtual power plant operation data transmission monitoring detection points.

[0030] Indicates The RF intensity influence coefficient of the data transmission monitoring detection point in the virtual power plant operation.

[0031] Indicates The signal power influence coefficient of the data transmission monitoring detection point in the virtual power plant operation.

[0032] Indicates The network delay at the data transmission monitoring detection point of a virtual power plant operation.

[0033] It represents the network delay threshold, which is the preset network delay threshold obtained from the virtual power plant database. If the network delay at a certain virtual power plant operation data transmission monitoring detection point is greater than the network delay threshold, the virtual power plant operation data transmission rate is slow and the virtual power plant operation data transmission monitoring is affected.

[0034] Indicates The virtual power plant operation data packet loss rate at the virtual power plant operation data transmission monitoring detection point.

[0035] It represents the virtual power plant operation data packet loss rate threshold, which is the preset virtual power plant operation data packet loss rate threshold obtained from the virtual power plant database. If the virtual power plant operation data packet loss rate at a virtual power plant operation data transmission monitoring detection point is greater than the virtual power plant operation data packet loss rate threshold, the virtual power plant operation efficiency will be reduced and the virtual power plant operation data transmission monitoring will be affected.

[0036] Indicates Pulse noise under the virtual power plant operation data transmission monitoring detection point.

[0037] It represents the pulse noise threshold, which is the preset pulse noise threshold obtained from the virtual power plant database. If the pulse noise at a virtual power plant operation data transmission monitoring detection point is greater than the pulse noise threshold, errors will occur in the transmission of the virtual power plant operation data, affecting the accuracy of the virtual power plant operation data transmission.

[0038] Indicates The virtual power plant operation data transmission rate at the virtual power plant operation data transmission monitoring detection point.

[0039] It represents the virtual power plant operation data transmission rate threshold, which is the preset virtual power plant operation data transmission rate threshold obtained from the virtual power plant database. If the virtual power plant operation data transmission rate under a virtual power plant operation data transmission monitoring detection point is greater than the virtual power plant operation data transmission rate threshold, the real-time monitoring of the virtual power plant operation status is improved.

[0040] Indicates The RF strength at the data transmission monitoring detection points during the operation of a virtual power plant.

[0041] It represents the standard value of RF strength, which is the preset standard value of RF strength obtained from the virtual power plant database. If the RF strength at a certain virtual power plant operation data transmission monitoring and detection point is lower than the standard value of RF strength, the signal quality will be reduced, the error rate of the virtual power plant operation data transmission will be increased, and it will be more susceptible to noise, resulting in reduced reliability of the virtual power plant operation data transmission. If the RF strength at a certain virtual power plant operation data transmission monitoring and detection point is greater than the standard value of RF strength, signal interference will occur, affecting the stability of the virtual power plant operation data transmission, interfering with other wireless devices, resulting in errors or interruptions in the virtual power plant operation data transmission.

[0042] Indicates The signal power of the virtual power plant operation data transmission monitoring detection point.

[0043] It represents the signal power standard value, which is the preset signal power standard value obtained from the virtual power plant database. If the signal power at a certain virtual power plant operation data transmission monitoring and detection point is lower than the signal power standard value, the data transmission quality of the virtual power plant operation will be reduced, and data loss, delay or error will occur; if the signal power at a certain virtual power plant operation data transmission monitoring and detection point is greater than the signal power standard value, interference will occur, affecting the normal operation of other equipment.

[0044] is the preset network delay impact weight factor obtained from the virtual power plant database.

[0045] The packet loss rate impact weight factor for the preset virtual power plant operation obtained from the virtual power plant database.

[0046] is the preset impulse noise impact weight factor obtained from the virtual power plant database.

[0047] The weighting factor affecting the data transmission rate of the preset virtual power plant operation obtained from the virtual power plant database.

[0048] is the preset RF intensity impact factor obtained from the virtual power plant database.

[0049] is the preset signal power impact factor obtained from the virtual power plant database.

[0050] The preset network delay impact weight factor, the preset virtual power plant operation data packet loss rate impact weight factor, the preset pulse noise impact weight factor and the preset virtual power plant operation data transmission rate impact weight factor can be obtained through the virtual power plant database, indicating the proportion of network delay, virtual power plant operation data packet loss rate, pulse noise and virtual power plant operation data transmission rate in the virtual power plant operation data transmission monitoring and evaluation index. The preset network delay impact weight factor, the preset virtual power plant operation data packet loss rate impact weight factor, the preset pulse noise impact weight factor and the preset virtual power plant operation data transmission rate impact weight factor can also be obtained through mapping relationships. For example, through the relationship between the network delay, virtual power plant operation data packet loss rate, pulse noise and virtual power plant operation data transmission rate in historical data and the network topology, a mapping set of network delay, virtual power plant operation data packet loss rate, pulse noise and virtual power plant operation data transmission rate and their corresponding weights is established respectively. By inputting the real-time network delay, virtual power plant operation data packet loss rate, pulse noise and virtual power plant operation data transmission rate, the corresponding preset network delay impact weight factor, preset virtual power plant operation data packet loss rate impact weight factor, preset pulse noise impact weight factor and preset virtual power plant operation data transmission rate impact weight factor in the mapping set are obtained.

[0051] The preset RF strength impact factor and the preset signal power impact factor can be obtained through the virtual power plant database, which represents the proportion of RF strength and signal power in the data transmission monitoring and evaluation index that affects the operation of the virtual power plant. The preset RF strength impact factor and the preset signal power impact factor can also be obtained through a mapping relationship. For example, a mapping set of RF strength and signal power and their corresponding weights is established through the relationship between the RF strength and signal power in historical data and the key update frequency. The corresponding preset RF strength impact factor and preset signal power impact factor in the mapping set are obtained by inputting the real-time RF strength and signal power.

[0052] The higher the network delay, the greater the possibility of data packet loss during transmission, and the higher the virtual power plant operation data packet loss rate; pulse noise will increase the error rate of data transmission, causing data packet damage or loss, and the higher the virtual power plant operation data packet loss rate; the higher the virtual power plant operation data transmission rate, the more virtual power plant operation data packets are transmitted per unit time, and the network conditions remain unchanged, and the virtual power plant operation data packet loss rate decreases; the higher the RF strength, the higher the signal power, the better the signal transmission stability, the stronger the anti-interference ability, the higher the virtual power plant operation data transmission rate, and the lower the virtual power plant operation data packet loss rate; the lower the network delay, the higher the virtual power plant operation data transmission rate, and the virtual power plant operation data packet can reach the destination faster; the higher the pulse noise, the lower the RF strength, and the lower the signal strength, because noise interferes with signal transmission.

[0053] The higher the network delay, the worse the real-time performance of the virtual power plant operation data transmission, there is a positive correlation between the network delay and the virtual power plant operation data transmission monitoring and evaluation index, and the larger the virtual power plant operation data transmission monitoring and evaluation index is; the higher the virtual power plant operation data packet loss rate, the worse the integrity of the virtual power plant operation data transmission, there is a positive correlation between the virtual power plant operation data packet loss rate and the virtual power plant operation data transmission monitoring and evaluation index, and the larger the virtual power plant operation data transmission monitoring and evaluation index is; the greater the pulse noise, the increase in the error rate of the virtual power plant operation data transmission, there is a positive correlation between the pulse noise and the virtual power plant operation data transmission monitoring and evaluation index, and the larger the virtual power plant operation data transmission monitoring and evaluation index is; the faster the virtual power plant operation data transmission rate, the faster the virtual power plant operation data transmission rate. The worse the efficiency of data transmission, the negative correlation between the virtual power plant operation data transmission rate and the virtual power plant operation data transmission monitoring and evaluation index, and the smaller the virtual power plant operation data transmission monitoring and evaluation index; the larger the square of the difference between the RF strength and the RF strength standard value, the worse the anti-interference ability, the positive correlation between the square of the difference between the RF strength and the RF strength standard value and the virtual power plant operation data transmission monitoring and evaluation index, and the larger the virtual power plant operation data transmission monitoring and evaluation index; the larger the square of the difference between the signal power and the signal power standard value, the worse the signal transmission stability, the weaker the anti-interference ability, the positive correlation between the square of the difference between the signal power and the signal power standard value and the virtual power plant operation data transmission monitoring and evaluation index, and the larger the virtual power plant operation data transmission monitoring and evaluation index.

[0054] Furthermore, the specific steps for obtaining the virtual power plant operation data encryption reliability evaluation index are as follows: obtaining the key entropy of a preset virtual power plant operation data encryption reliability detection point through an entropy analysis tool; obtaining the key length of a preset virtual power plant operation data encryption reliability detection point through cryptographic analysis software; obtaining the pulse noise of a preset virtual power plant operation data encryption reliability detection point through a spectrum analyzer; obtaining the radio frequency strength of a preset virtual power plant operation data encryption reliability detection point through a radio frequency signal strength meter; obtaining the signal power of a preset virtual power plant operation data encryption reliability detection point through a spectrum analyzer; obtaining the virtual power plant operation data encryption efficiency of a preset virtual power plant operation data encryption reliability detection point through an encryption performance testing tool; the virtual power plant operation data encryption reliability data includes key entropy, key length, pulse noise, radio frequency strength, signal power and virtual power plant operation data encryption efficiency to analyze the virtual power plant operation data encryption reliability data to obtain the virtual power plant operation data encryption reliability evaluation index.

[0055] In this embodiment, the specific method for analyzing and obtaining the virtual power plant operation data encryption reliability evaluation index is as follows: ; ; ; ; ; ; The preset virtual power plant operation data encryption reliability detection points are numbered in sequence. Indicates the number of the reliability detection point for virtual power plant operation data encryption. , Indicates the total number of encryption reliability detection points for virtual power plant operation data.

[0056] Indicates The virtual power plant operation data encryption reliability evaluation index of the virtual power plant operation data encryption reliability detection point is calculated.

[0057] Indicates The RF intensity correction factor at the reliability detection point of virtual power plant operation data encryption.

[0058] Indicates The signal power correction coefficient at the reliability detection point of virtual power plant operation data encryption.

[0059] Indicates The virtual power plant operation data encryption efficiency correction coefficient under the virtual power plant operation data encryption reliability detection point.

[0060] Indicates The key entropy at the reliability detection point of virtual power plant operation data encryption.

[0061] It represents the key entropy threshold, which is the preset key entropy threshold obtained from the virtual power plant database. If the key entropy at a virtual power plant operation data encryption reliability detection point is greater than the key entropy threshold, the key is more random and more difficult to predict or crack, and the virtual power plant operation data encryption reliability is higher.

[0062] Indicates The key length at the virtual power plant operation data encryption reliability detection point.

[0063] It represents the standard value of the key length, which is the preset standard value of the key length obtained from the virtual power plant database. If the key length at a virtual power plant operation data encryption reliability detection point is greater than the standard value of the key length, the virtual power plant operation data transmission delay will be increased during the virtual power plant operation data transmission process; if the key length at a virtual power plant operation data encryption reliability detection point is lower than the standard value of the key length, the risk of virtual power plant operation data leakage will increase, and the encryption reliability of the virtual power plant operation data will be lower.

[0064] Indicates Impulse noise under the reliability detection point of virtual power plant operation data encryption.

[0065] It represents the pulse noise threshold, which is the preset pulse noise threshold obtained from the virtual power plant database. If the pulse noise at a virtual power plant operation data encryption reliability detection point is greater than the pulse noise threshold, errors will occur in the transmission of the virtual power plant operation data, and the encryption reliability of the virtual power plant operation data will be lower.

[0066] Indicates The RF strength at the virtual power plant operation data encryption reliability detection point.

[0067] It represents the standard value of RF strength, which is the preset standard value of RF strength obtained from the virtual power plant database. If the RF strength at a reliability detection point of virtual power plant operation data encryption is lower than the standard value of RF strength, the signal quality will be reduced, and the error rate of virtual power plant operation data transmission will be increased, resulting in reduced reliability of virtual power plant operation data encryption. If the RF strength at a reliability detection point of virtual power plant operation data encryption is greater than the standard value of RF strength, signal interference will occur, affecting the stability of virtual power plant operation data encryption and interfering with other wireless devices, resulting in reduced reliability of virtual power plant operation data encryption.

[0068] Indicates The signal power at the reliability detection point of virtual power plant operation data encryption.

[0069] It represents the signal power standard value, which is the preset signal power standard value obtained from the virtual power plant database. If the signal power at a virtual power plant operation data encryption reliability detection point is lower than the signal power standard value, the quality of virtual power plant operation data transmission will be reduced, data loss, delay or error will occur, and the reliability of virtual power plant operation data encryption will be reduced; if the signal power at a virtual power plant operation data encryption reliability detection point is greater than the signal power standard value, interference will occur, affecting the normal operation of other equipment.

[0070] Indicates The virtual power plant operation data encryption efficiency under the virtual power plant operation data encryption reliability detection point.

[0071] It represents the standard value of the virtual power plant operation data encryption efficiency, which is the preset virtual power plant operation data encryption efficiency standard value obtained from the virtual power plant database. If the virtual power plant operation data encryption efficiency at a certain virtual power plant operation data encryption reliability detection point is greater than the virtual power plant operation data encryption efficiency standard value, the virtual power plant operation data can be processed faster, and the encryption security of the virtual power plant operation data is reduced; if the virtual power plant operation data encryption efficiency at a certain virtual power plant operation data encryption reliability detection point is lower than the virtual power plant operation data encryption efficiency standard value, there is a risk of data leakage in the virtual power plant operation data encryption process, and the reliability of the virtual power plant operation data encryption is reduced.

[0072] The preset key entropy influencing weight factor obtained from the virtual power plant database.

[0073] The preset key length obtained from the virtual power plant database affects the weight factor.

[0074] is the preset impulse noise impact weight factor obtained from the virtual power plant database.

[0075] is the preset RF strength correction factor obtained from the virtual power plant database.

[0076] is the preset signal power correction factor obtained from the virtual power plant database.

[0077] Encrypt efficiency correction factors for preset virtual power plant operation data obtained from the virtual power plant database.

[0078] The preset key entropy influence weight factor, the preset key length influence weight factor and the preset pulse noise influence weight factor can be obtained through the virtual power plant database, which represents the proportion of key entropy, key length and pulse noise in the virtual power plant operation data encryption reliability assessment index. The preset key entropy influence weight factor, the preset key length influence weight factor and the preset pulse noise influence weight factor can also be obtained through mapping relationships. For example, through the relationship between key entropy, key length and pulse noise in historical data and signal strength, a mapping set of key entropy, key length and pulse noise and their corresponding weights is established respectively. By inputting real-time key entropy, key length and pulse noise, the corresponding preset key entropy influence weight factor, preset key length influence weight factor and preset pulse noise influence weight factor in the mapping set are obtained.

[0079] The preset RF strength correction factor, the preset signal power correction factor and the preset virtual power plant operation data encryption efficiency correction factor can be obtained through the virtual power plant database, which represents the proportion of RF strength, signal power and virtual power plant operation data encryption efficiency in the virtual power plant operation data encryption reliability assessment index. The preset RF strength correction factor, the preset signal power correction factor and the preset virtual power plant operation data encryption efficiency correction factor can also be obtained through a mapping relationship. For example, through the relationship between the RF strength, signal power and virtual power plant operation data encryption efficiency in historical data and the virtual power plant operation data update frequency, a mapping set of RF strength, signal power and virtual power plant operation data encryption efficiency and their corresponding weights is established respectively. By inputting the real-time RF strength, signal power and virtual power plant operation data encryption efficiency, the corresponding preset RF strength correction factor, preset signal power correction factor and preset virtual power plant operation data encryption efficiency correction factor in the mapping set are obtained.

[0080] Signal power is the strength of signal transmission. Higher signal power can resist the influence of pulse noise. The higher the signal power, the smaller the pulse noise. RF strength is related to signal power, which affects the quality and distance of wireless communication. The higher the RF signal strength, the greater the signal power. The higher the key entropy, the smaller the deviation between the key length and the standard value of the key length, which improves the security of encryption and increases the computational complexity of encryption and decryption, thereby affecting the encryption efficiency. The encryption efficiency of virtual power plant operation data is lower. The higher the pulse noise, the efficiency of virtual power plant operation data transmission is reduced, and more error detection and correction mechanisms are required. The optimization of RF strength and signal power can improve the efficiency of data transmission. The smaller the deviation between the RF strength and the standard value of the RF strength, the higher the encryption efficiency of virtual power plant operation data.

[0081] The higher the key entropy, the stronger the randomness of the key, and the better the security of the virtual power plant operation data encryption system. There is a positive correlation between the key entropy and the virtual power plant operation data encryption reliability assessment index, and the larger the virtual power plant operation data encryption reliability assessment index is; the smaller the absolute value of the key length and the key length difference, the larger the key space, and the higher the difficulty of cracking the key. There is a negative correlation between the absolute value of the key length and the key length difference and the virtual power plant operation data encryption reliability assessment index, and the larger the virtual power plant operation data encryption reliability assessment index is; the larger the square of the difference between the pulse noise and the pulse noise standard value, the increase in the error rate of the virtual power plant operation data transmission and the reduction in the reliability of the virtual power plant operation data transmission. There is a negative correlation between the square of the difference between the pulse noise and the pulse noise standard value and the virtual power plant operation data encryption reliability assessment index, and the smaller the virtual power plant operation data encryption reliability assessment index is ; The larger the square of the difference between the RF strength and the standard value of the RF strength, the weaker the anti-interference ability, the square of the difference between the RF strength and the standard value of the RF strength is negatively correlated with the virtual power plant operation data encryption reliability assessment index, and the smaller the virtual power plant operation data encryption reliability assessment index is; the smaller the absolute value of the difference between the signal power and the standard value of the signal power, the better the stability of the signal transmission, the stronger the anti-interference ability, the absolute value of the difference between the signal power and the standard value of the signal power is negatively correlated with the virtual power plant operation data encryption reliability assessment index, and the larger the virtual power plant operation data encryption reliability assessment index is; the greater the virtual power plant operation data encryption efficiency, the faster the virtual power plant operation data encryption and decryption process, the faster the system response speed, the virtual power plant operation data encryption efficiency is positively correlated with the virtual power plant operation data encryption reliability assessment index, and the larger the virtual power plant operation data encryption reliability assessment index is.

[0082] Furthermore, the specific steps of comprehensively analyzing and obtaining the virtual power plant operation data security assessment index are as follows: obtaining the key update frequency of the preset virtual power plant operation data security detection point through the key management server; and obtaining the virtual power plant operation data security assessment index through comprehensive analysis of the virtual power plant operation data transmission monitoring assessment index, the virtual power plant operation data encryption reliability assessment index and the key update frequency.

[0083] In this embodiment, the specific method for analyzing and obtaining the virtual power plant operation data security evaluation index is as follows: ; ; The preset virtual power plant operation data security detection points are numbered in sequence. Indicates the number of the virtual power plant operation data security detection point, , Indicates the total number of numbers of virtual power plant operation data security detection points.

[0084] Represents the virtual power plant operation data security assessment index.

[0085] Indicates The virtual power plant operation data encryption reliability evaluation index of the virtual power plant operation data encryption reliability detection point is calculated.

[0086] Indicates The key update frequency under the virtual power plant operation data security detection point.

[0087] It represents the standard value of key update frequency, which is the preset standard value of key update frequency obtained from the virtual database. If the key update frequency at a certain virtual power plant operation data security checkpoint is greater than the standard value of key update frequency, the faster the key update frequency, the greater the virtual power plant operation data transmission delay; if the key update frequency at a certain virtual power plant operation data security checkpoint is lower than the standard value of key update frequency, the risk of key cracking increases and the security of virtual power plant operation data is reduced.

[0088] Indicates The virtual power plant operation data transmission monitoring evaluation index of the virtual power plant operation data transmission monitoring detection points.

[0089] The reliability assessment index influencing weight factor is encrypted for the preset virtual power plant operation data obtained from the virtual power plant database.

[0090] The preset key update frequency obtained from the virtual power plant database affects the weight factor.

[0091] It is the impact weight factor of the preset virtual power plant operation data transmission monitoring and evaluation index obtained from the virtual power plant database.

[0092] The weight factors affecting the reliability assessment index of the encryption of the preset virtual power plant operation data, the weight factors affecting the frequency of key updates, and the weight factors affecting the monitoring and assessment index of the operation data transmission of the preset virtual power plant can be obtained through the virtual power plant database, indicating the proportion of the virtual power plant operation data encryption reliability assessment index, the key update frequency, and the virtual power plant operation data transmission monitoring and assessment index in the virtual power plant operation data security assessment index. The weight factors affecting the reliability assessment index of the encryption of the preset virtual power plant operation data, the weight factors affecting the frequency of key updates, and the weight factors affecting the monitoring and assessment index of the operation data transmission of the preset virtual power plant can also be obtained through mapping relationships, such as through historical data. The relationship between the virtual power plant operation data encryption reliability assessment index, key update frequency and virtual power plant operation data transmission monitoring assessment index and encryption delay is established by respectively establishing a mapping set of the virtual power plant operation data encryption reliability assessment index, key update frequency and virtual power plant operation data transmission monitoring assessment index and their corresponding weights. By inputting the real-time virtual power plant operation data encryption reliability assessment index, key update frequency and virtual power plant operation data transmission monitoring assessment index, the corresponding preset virtual power plant operation data encryption reliability assessment index influencing weight factor, preset key update frequency influencing weight factor and preset virtual power plant operation data transmission monitoring assessment index influencing weight factor in the mapping set are obtained.

[0093] Table 1 is an example table of the virtual power plant operation data security assessment index. The example parameters in Table 1 only take the parameters under one virtual power plant operation data security detection point for example. Set to 0.4, weight factor Set to 0.3, weight factor Set to 0.3, The standard value of the key update frequency is 2, as shown in Table 1.

[0094] Table 1 Example of virtual power plant operation data security assessment index

[0095] The key update frequency affects the reliability assessment index of virtual power plant operation data encryption. The higher the key update frequency, the higher the security of the encryption system. If the key is cracked, the attacker can only access limited virtual power plant operation data. The increased key update frequency, the greater the virtual power plant operation data encryption reliability assessment index; the slower the key update frequency, the higher the complexity of virtual power plant operation data transmission, thereby affecting the virtual power plant operation data transmission rate and delay, the greater the virtual power plant operation data transmission monitoring assessment index; the higher the virtual power plant operation data encryption reliability assessment index, the higher the security of virtual power plant operation data transmission, and the lower the virtual power plant operation data transmission monitoring assessment index.

[0096] It can be seen from Table 1 that the higher the reliability evaluation index of virtual power plant operation data encryption, the stronger the security of the virtual power plant operation data encryption system, the virtual power plant operation data encryption reliability evaluation index is positively correlated with the virtual power plant operation data security evaluation index, and the larger the virtual power plant operation data security evaluation index is; the smaller the absolute value of the key update frequency and the key update frequency standard value difference is, the key update frequency and the key update frequency standard value difference is negatively correlated with the virtual power plant operation data security evaluation index, and the larger the virtual power plant operation data security evaluation index is; the higher the virtual power plant operation data transmission monitoring evaluation index is, the worse the security of the virtual power plant operation data during transmission, the virtual power plant operation data transmission monitoring evaluation index is negatively correlated with the virtual power plant operation data security evaluation index, and the smaller the virtual power plant operation data security evaluation index is.

[0097] like Figure 2 As shown, it is a schematic diagram of the virtual power plant operation data security evaluation index function provided by an embodiment of the present invention; x is the positive semi-axis of the horizontal coordinate, y is the positive semi-axis of the vertical coordinate, and the weight factor Set to 0.4, weight factor Set to 0.3, weight factor Set to 0.3, The standard value for key update frequency is 2.

[0098] Curve a indicates that if the key update frequency is set to a fixed value of 1, the virtual power plant operation data transmission monitoring evaluation index is set to a fixed value of 1, the virtual power plant operation data encryption reliability evaluation index is x, and the virtual power plant operation data security evaluation index is y, the virtual power plant operation data security evaluation index increases with the increase of the virtual power plant operation data encryption reliability evaluation index.

[0099] Furthermore, the specific steps for optimizing and adjusting the virtual power plant operation data transmission monitoring method are as follows: if the virtual power plant operation data transmission monitoring and evaluation index is lower than or equal to the first threshold value of the virtual power plant operation data transmission monitoring and evaluation index, there is no need to optimize and adjust the virtual power plant operation data transmission monitoring method; if the virtual power plant operation data transmission monitoring and evaluation index is greater than the first threshold value of the virtual power plant operation data transmission monitoring and evaluation index, equalization and filtering signal processing technology are used to reduce the impact of pulse noise on virtual power plant operation data transmission, forward secrecy can be achieved by using ECDHE or DHE cipher suites, and password identification means are used.

[0100] In this embodiment, it is assumed that the virtual power plant operation data transmission monitoring and evaluation index is 90, and the first threshold value of the virtual power plant operation data transmission monitoring and evaluation index is 80. Through equalization and filtering technology, the impact of pulse noise on the virtual power plant operation data transmission is reduced, and the clarity and accuracy of data transmission are improved. ECDHE or DHE cipher suites are used. ECDHE, or DHE, cipher suites can achieve forward secrecy. Even if the long-term key is leaked, the confidentiality of past communications is still protected. Through password identification means, the identities of both parties in communication can be verified to prevent unauthorized access and data tampering. Password identification means, such as using digital certificates for identity authentication, can use digital certificates to verify the identities of senders and receivers in virtual power plant operation data transmission. For example, when the virtual power plant sends data to the data center, the private key is used to sign the data and a digital certificate is attached. After the data center receives the data, it will use the public key of the virtual power plant, which can be obtained from the digital certificate to verify the authenticity of the signature, thereby confirming the source of the data. Similarly, when the data center sends data to the virtual power plant, a similar mechanism is used to verify the identity.

[0101] Furthermore, the specific steps for optimizing and adjusting the virtual power plant operation data encryption reliability method are as follows: if the virtual power plant operation data encryption reliability evaluation index is greater than or equal to the second threshold value of the virtual power plant operation data encryption reliability evaluation index, there is no need to optimize and adjust the virtual power plant operation data encryption reliability method; if the virtual power plant operation data encryption reliability evaluation index is lower than the second threshold value of the virtual power plant operation data encryption reliability evaluation index, end-to-end encryption is implemented, and only the sender and receiver can decrypt the virtual power plant operation data, and HSM is introduced to protect the encryption key.

[0102] In this embodiment, it is assumed that the virtual power plant operation data encryption reliability evaluation index is 70, and the second threshold value of the virtual power plant operation data encryption reliability evaluation index is 80. End-to-end encryption is implemented to ensure that only the sender and the receiver can decrypt the virtual power plant operation data to prevent unauthorized access to the data during transmission. A pair of RSA keys (public key and private key) is generated using HSM. The public key is used to encrypt data, and the private key is used to decrypt data. The private key is securely stored in the HSM and is not exported to any other device or medium. When the sender needs to send data, the data is encrypted using the receiver's public key. The encrypted data is transmitted to the receiver through a secure channel. The receiver uses the private key stored in the HSM to decrypt the data. In this way, only the sender and the receiver can encrypt and decrypt the data because only the sender and the receiver have the corresponding keys. HSM ensures the security of the key, prevents the leakage or abuse of the key, and ensures the integrity and confidentiality of the sensor data.

[0103] Furthermore, the specific steps of optimizing and adjusting the method for the security of virtual power plant operation data are as follows: extracting the comprehensive threshold of the virtual power plant operation data security assessment index in the virtual power plant database, and comparing the virtual power plant operation data security assessment index with the comprehensive threshold of the virtual power plant operation data security assessment index; if the virtual power plant operation data security assessment index is greater than or equal to the comprehensive threshold of the virtual power plant operation data security assessment index, there is no need to optimize and adjust the method for the security of virtual power plant operation data.

[0104] Furthermore, the method for optimizing and adjusting the security of virtual power plant operation data also includes: if the virtual power plant operation data security assessment index is lower than the comprehensive threshold of the virtual power plant operation data security assessment index, the data is classified and labeled, security measures are taken according to the sensitivity of the virtual power plant operation data, and multi-factor authentication is implemented.

[0105] In this embodiment, it is assumed that the virtual power plant operation data security assessment index is 60, and the comprehensive threshold of the virtual power plant operation data security assessment index is 80, indicating that the virtual power plant operation data security is insufficient, then the data needs to be classified and labeled, and multi-factor authentication is implemented, for example: the virtual power plant operation data is divided into different categories, such as public data, internal data and confidential data; public data: non-sensitive data, such as weather forecast information; internal data: data that requires limited access, such as employee information; confidential data: highly sensitive data, such as power load forecast, user electricity consumption data; different security labels are applied to different categories of data; public data: unlabeled or marked as "public"; internal data: marked as "internal"; confidential data: marked as "confidential"; different access control policies are implemented according to data labels; public data: open access to all users; internal data: only authorized employees can access; confidential data: only high-level authorized employees can access; confidential data is encrypted to ensure the security of data during transmission and storage. The steps to implement multi-factor authentication are: the user enters the username and password; the user enters the dynamic password generated by the token; the user verifies through fingerprint or facial recognition; for example, suppose an employee of a virtual power plant needs to access confidential data, the following is a detailed authentication process: Step 1: Password verification: the employee enters the username and password; the system verifies whether the username and password are correct; Step 2: Token verification: If the password verification is successful, the system requires the employee to enter the dynamic password generated by the token; the system verifies whether the dynamic password is correct; Step 3: Biometric verification: If the token verification is successful, the system requires the employee to perform fingerprint or facial recognition, and the system verifies whether the biometric information is correct. Through the above steps, employees can access confidential data, and improve the security of virtual power plant operation data through data classification and tagging, as well as multi-factor authentication.

[0106] like Figure 3As shown, it is a structural schematic diagram of a virtual power plant operation data optimization system provided by an embodiment of the present invention. The virtual power plant operation data optimization system provided by an embodiment of the present invention includes: a virtual power plant operation data collection module, a virtual power plant operation data analysis module, a comprehensive analysis module and a virtual power plant operation data security optimization method module: a virtual power plant operation data collection module: used to collect and process virtual power plant operation data; a virtual power plant operation data analysis module: used to analyze the virtual power plant operation data to obtain a virtual power plant operation data transmission monitoring evaluation index and a virtual power plant operation data encryption reliability evaluation index; a comprehensive analysis module: used to comprehensively analyze Obtain the virtual power plant operation data security assessment index; optimize and adjust the virtual power plant operation data security method module: used to compare and analyze the virtual power plant operation data transmission monitoring assessment index with the first threshold of the virtual power plant operation data transmission monitoring assessment index, and optimize and adjust the virtual power plant operation data transmission monitoring method; compare and analyze the virtual power plant operation data encryption reliability assessment index with the second threshold of the virtual power plant operation data encryption reliability assessment index, and optimize and adjust the virtual power plant operation data encryption reliability method; compare and analyze the virtual power plant operation data security assessment index with the comprehensive threshold of the virtual power plant operation data security assessment index, and optimize and adjust the virtual power plant operation data security method.

[0107] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0108] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0109] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0111] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0112] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for optimizing operation data of a virtual power plant, characterized in that: The following steps are involved: Collect and process virtual power plant operation data; Analyze the virtual power plant operation data to obtain the virtual power plant operation data transmission monitoring evaluation index and the virtual power plant operation data encryption reliability evaluation index; Comprehensive analysis yields the virtual power plant operation data security assessment index; Compare and analyze the virtual power plant operation data transmission monitoring and evaluation index with the first threshold of the virtual power plant operation data transmission monitoring and evaluation index, and optimize and adjust the virtual power plant operation data transmission monitoring method; Compare and analyze the virtual power plant operation data encryption reliability assessment index with the second threshold of the virtual power plant operation data encryption reliability assessment index, and optimize and adjust the virtual power plant operation data encryption reliability method; Compare and analyze the virtual power plant operation data security assessment index with the comprehensive threshold of the virtual power plant operation data security assessment index, and optimize and adjust the virtual power plant operation data security method.

2. The method for optimizing operation data of a virtual power plant according to claim 1, characterized in that: The specific steps of collecting and processing the virtual power plant operation data are as follows: Get the original operation data of the virtual power plant through sensor equipment; The original operation data of the virtual power plant is cleaned and denoised to obtain the operation data of the virtual power plant, wherein the operation data of the virtual power plant includes the operation data transmission monitoring data of the virtual power plant and the encryption reliability data of the operation data of the virtual power plant.

3. The method for optimizing operation data of a virtual power plant according to claim 1, characterized in that: The specific process of obtaining the virtual power plant operation data transmission monitoring and evaluation index is as follows: Use the ping tool to obtain the network delay of the preset virtual power plant operation data transmission monitoring detection point; The virtual power plant operation data packet loss rate of the preset virtual power plant operation data transmission monitoring detection point is obtained through a network traffic analyzer; The pulse noise of the preset virtual power plant operation data transmission monitoring detection point is obtained through the spectrum analyzer; The virtual power plant operation data transmission rate of a preset virtual power plant operation data transmission monitoring detection point is obtained through a network traffic analyzer; The radio frequency strength of the preset virtual power plant operation data transmission monitoring detection point is obtained by using a radio frequency signal strength meter; The signal power of the preset virtual power plant operation data transmission monitoring detection point is obtained through the spectrum analyzer; The virtual power plant operation data transmission monitoring data includes network delay, virtual power plant operation data packet loss rate, pulse noise, virtual power plant operation data transmission rate, radio frequency strength and signal power; The virtual power plant operation data transmission monitoring data is analyzed to obtain the virtual power plant operation data transmission monitoring evaluation index.

4. The method for optimizing operation data of a virtual power plant according to claim 1, characterized in that: The specific steps of obtaining the virtual power plant operation data encryption reliability evaluation index are as follows: The key entropy of the preset virtual power plant operation data encryption reliability detection point is obtained through the entropy analysis tool; The key length of the preset virtual power plant operation data encryption reliability detection point is obtained through cryptographic analysis software; The pulse noise of the preset virtual power plant operation data encryption reliability detection point is obtained through the spectrum analyzer; The radio frequency strength of the preset virtual power plant operation data encryption reliability detection point is obtained through a radio frequency signal strength meter; The signal power of the preset virtual power plant operation data encryption reliability detection point is obtained through a spectrum analyzer; The encryption performance test tool is used to obtain the encryption efficiency of virtual power plant operation data at preset virtual power plant operation data encryption reliability test points; The virtual power plant operation data encryption reliability data includes key entropy, key length, pulse noise, radio frequency strength, signal power and virtual power plant operation data encryption efficiency; The encryption reliability data of virtual power plant operation data is analyzed to obtain the encryption reliability evaluation index of virtual power plant operation data.

5. The method for optimizing operation data of a virtual power plant according to claim 1, characterized in that: The specific steps of obtaining the virtual power plant operation data security assessment index through comprehensive analysis are as follows: Obtain the key update frequency of the preset virtual power plant operation data security detection point through the key management server; The virtual power plant operation data security assessment index is obtained through comprehensive analysis of the virtual power plant operation data transmission monitoring assessment index, the virtual power plant operation data encryption reliability assessment index and the key update frequency.

6. The method for optimizing operation data of a virtual power plant according to claim 1, characterized in that: The specific steps of the method for optimizing and adjusting the data transmission monitoring of virtual power plant operation are as follows: If the virtual power plant operation data transmission monitoring and evaluation index is lower than or equal to the first threshold value of the virtual power plant operation data transmission monitoring and evaluation index, there is no need to optimize and adjust the virtual power plant operation data transmission monitoring method; If the virtual power plant operation data transmission monitoring and evaluation index is greater than the first threshold of the virtual power plant operation data transmission monitoring and evaluation index, equalization and filtering signal processing technology is used to reduce the impact of pulse noise on virtual power plant operation data transmission, ECDHE or DHE cryptographic suites are used to achieve forward secrecy, and cryptographic identification means are used.

7. The method for optimizing operation data of a virtual power plant according to claim 1, characterized in that: The specific steps of the method for optimizing and adjusting the reliability of virtual power plant operation data encryption are as follows: If the virtual power plant operation data encryption reliability assessment index is greater than or equal to the second threshold value of the virtual power plant operation data encryption reliability assessment index, there is no need to optimize and adjust the virtual power plant operation data encryption reliability method; If the virtual power plant operation data encryption reliability assessment index is lower than the second threshold of the virtual power plant operation data encryption reliability assessment index, end-to-end encryption is implemented, and only the sender and receiver can decrypt the virtual power plant operation data, and HSM is introduced to protect the encryption key.

8. The method for optimizing operation data of a virtual power plant according to claim 1, characterized in that: The specific steps of the method for optimizing and adjusting the security of virtual power plant operation data are as follows: Extracting a comprehensive threshold value of a virtual power plant operation data security assessment index from a virtual power plant database, and comparing the virtual power plant operation data security assessment index with the comprehensive threshold value of the virtual power plant operation data security assessment index; If the virtual power plant operation data security assessment index is greater than or equal to the comprehensive threshold of the virtual power plant operation data security assessment index, there is no need to optimize and adjust the virtual power plant operation data security method.

9. The method for optimizing operation data of a virtual power plant according to claim 1, characterized in that: The method for optimizing and adjusting the security of virtual power plant operation data further includes: If the virtual power plant operation data security assessment index is lower than the comprehensive threshold of the virtual power plant operation data security assessment index, the data will be classified and labeled, security measures will be taken according to the sensitivity of the virtual power plant operation data, and multi-factor authentication will be implemented.

10. An operation data optimization system for a virtual power plant, characterized in that: It includes a module for collecting virtual power plant operation data, a module for analyzing virtual power plant operation data, a comprehensive analysis module, and a module for optimizing and adjusting the security of virtual power plant operation data: Virtual power plant operation data collection module: used to collect and process virtual power plant operation data; Virtual power plant operation data analysis module: used to analyze the virtual power plant operation data, obtain the virtual power plant operation data transmission monitoring evaluation index and obtain the virtual power plant operation data encryption reliability evaluation index; Comprehensive analysis module: used to comprehensively analyze and obtain the safety assessment index of virtual power plant operation data; Module for optimizing and adjusting the method for the security of virtual power plant operation data: used to compare and analyze the virtual power plant operation data transmission monitoring and evaluation index with the first threshold of the virtual power plant operation data transmission monitoring and evaluation index, and optimize and adjust the virtual power plant operation data transmission monitoring method; compare and analyze the virtual power plant operation data encryption reliability evaluation index with the second threshold of the virtual power plant operation data encryption reliability evaluation index, and optimize and adjust the virtual power plant operation data encryption reliability method; compare and analyze the virtual power plant operation data security evaluation index with the comprehensive threshold of the virtual power plant operation data security evaluation index, and optimize and adjust the virtual power plant operation data security method.

Citation Information

Patent Citations

  • Security protection system for virtual power plant operation

    CN113378169A

  • A data tracking and detection method, device and storage medium for a virtual power plant

    CN117332236B

  • Information access security protection method for new energy power plant data

    CN117521134A

  • Safety facility comprehensive evaluation management method and system for production enterprise

    CN117575418A

  • Security situation awareness early warning system for power transmission line

    CN117933713A

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