Active information security encryption control method and system for space-ground integrated microgrid group

Abstract

The present invention provides a method and system for active information security encryption control of a space-ground integrated microgrid group, which relates to the field of power information security. In the microgrid group, the distributed power source is abstracted as an inverter and modeled to generate a microgrid group state space equation; a secure encryption controller equation based on differential privacy is established; a noise generator for discrete time series is established; a random approximation method is introduced to generate a distributed protocol; an adaptive feedback mechanism is generated; the secure encryption controller equation is updated according to the noise generator, the adaptive feedback mechanism and the distributed protocol; the second coefficient matrix in the current secure encryption controller equation is solved according to the first coefficient matrix in the microgrid group state space equation to generate a target secure encryption controller equation. Through a dynamic adjustment mechanism, a balance is found between privacy protection and control accuracy, so that the encryption and decryption capabilities can be adapted to the actual situation of the microgrid group operation.

Description

Technical Field

[0001] The present application relates to the field of power information security technology, and in particular to a method and system for active information security encryption control of a space-ground integrated microgrid group. Background Art

[0002] Microgrid refers to a small power generation and distribution system composed of distributed power sources, energy storage devices, energy conversion devices, loads, monitoring and protection devices, etc. It can achieve self-control, protection and management, and can operate with an external power grid or in isolation. Based on microgrids, microgrid clusters interconnect geographically adjacent microgrids and distributed power generation systems to form an interconnected microgrid cluster system. Through energy scheduling and interaction between each other, the overall power supply reliability of the system is enhanced, and the consumption of distributed new power sources is further supported. Compared with conventional power grids, microgrid clusters are mainly planned and designed based on comprehensive energy consumption, resource distribution and existing network conditions, which are more economical, reliable and environmentally friendly. Therefore, microgrid clusters have gradually become an ideal solution for remote areas such as islands and deserts. However, the stable operation of microgrid clusters in remote areas not only depends on the generation and distribution of electricity, but also requires efficient and reliable communication systems to coordinate operations. Satellite Internet has gradually become a key technology to support the communication guarantee of microgrid clusters due to its wide-area coverage, homogeneous services, flexible deployment and strong anti-destruction capabilities. Satellite Internet can provide global, global, full-time communications, navigation, remote sensing and other comprehensive information services on a large spatial and temporal scale through large-scale networking of high, medium and low-orbit satellites and the coordination of multiple heterogeneous satellite constellations. It can also form an integrated space-ground information network with ground-based network infrastructure consisting of ground mobile base stations, WiFi hotspots, fiber optic networks, etc., providing global ubiquitous communication services to users in different application scenarios in the sky, air, land and sea.

[0003] Distributed control is more suitable for microgrids in remote areas, which can reduce dependence on central controllers and improve system reliability and flexibility. Pinning consistency is an important control concept in distributed control. Pinning nodes in a microgrid achieve consistency through information exchange with its adjacent nodes. Pinning nodes between different microgrids exchange status information (such as voltage, frequency, etc.) through satellite Internet and adjust the operating parameters of the local microgrid based on this information. This control mechanism can effectively solve the problem of unbalanced operation between microgrids, ensure the optimal distribution of electricity, and thus achieve the overall coordinated operation of the entire microgrid group system.

[0004] Although the integrated space-ground information network has many advantages, it is vulnerable to interference, interception and other network attacks due to its open channels, long-distance transmission and dynamic changes in network topology. These factors have brought challenges to the stable operation of the microgrid group. Data leakage is one of the prominent problems that affect the stable operation of the microgrid group under the integrated space-ground network. During the transmission process, unencrypted data may be intercepted by attackers, exposing sensitive information such as the operating status and control instructions of the microgrid group, which can be easily used by attackers to design targeted (highly concealed, deeply influential, and widely harmful) network attacks, greatly increasing the information security risk of the microgrid group. In addition to data leakage, malicious tampering is also a major threat in satellite-to-ground link transmission. Attackers can interfere with the normal operation of the microgrid group by injecting false information or tampering with control instructions during data transmission. Therefore, it is particularly important to take effective protective measures against information security issues in the satellite-to-ground link transmission process. Summary of the invention

[0005] In order to solve the above problems, the present application provides a method and system for active information security encryption control of a space-ground integrated microgrid group.

[0006] In the first aspect, the present application provides a method for active information security encryption control of a space-ground integrated microgrid group using the following technical solutions:

[0007] A method for active information security encryption control of a space-ground integrated microgrid group, comprising:

[0008] Abstracting the distributed power source into an inverter in the microgrid group and modeling the inverter to generate a state space equation of the microgrid group;

[0009] Establish secure encrypted controller equations based on differential privacy;

[0010] Build a noise generator for discrete time series;

[0011] Introducing a random approximation method according to the noise generator to generate a distributed protocol;

[0012] generating an adaptive feedback mechanism according to the noise generator;

[0013] updating the secure cryptographic controller equations based on the noise generator, the adaptive feedback mechanism, and the distributed protocol;

[0014] The second coefficient matrix in the current security encryption controller equation is solved according to the first coefficient matrix in the state space equation of the microgrid group to generate a target security encryption controller equation.

[0015] Optionally, the step of abstracting the distributed power source into an inverter in the microgrid group and modeling the inverter to generate a state space equation of the microgrid group includes:

[0016] Acquiring distributed power source information in the microgrid group;

[0017] Abstracting the distributed power source information into an inverter;

[0018] A microgrid group state space equation is established according to the primary control and secondary control of the inverter.

[0019] Optionally, the step of establishing a microgrid group state space equation according to the primary control and the secondary control of the inverter includes:

[0020] Define the number of inverters , the primary control of the inverter is droop control, satisfying

[0021]

[0022] in, is the DC bus voltage, is the reference voltage, is the transmission line impedance, is the output current of the i-th inverter;

[0023] Increase the control amount of the secondary control corresponding to the inverter ,satisfy

[0024]

[0025] The goal of the secondary control is

[0026]

[0027]

[0028] Because the bus voltage and each power supply current have the following relationship:

[0029]

[0030] in, , represents a column vector whose elements are all 1, is the total equivalent load impedance, so the input of the secondary control for

[0031]

[0032]

[0033] in a i , is the error coefficient, is the control input of the ith inverter, is the control input of the jth inverter, is the integral control coefficient, and the integral range is not limited;

[0034] When the microgrid group reaches a steady state, the voltage tracking error , the current tracking error is 0, is the bus voltage;

[0035] The current DC microgrid output current is:

[0036]

[0037] in, , R is the transmission line impedance, d is the droop coefficient;

[0038] The global joint error can be expressed as follows

[0039]

[0040] Where: ; ; ; is the Laplace matrix corresponding to the communication topology graph, for e a The state space equation of the microgrid can be obtained by derivation as follows:

[0041]

[0042] in, is the system state variable; , , , is the identity matrix.

[0043] Optionally, the step of establishing a secure encrypted controller equation based on differential privacy includes:

[0044] Establishing secure encrypted controller equations based on differential privacy

[0045]

[0046]

[0047] in , , , is the matrix that needs to be solved.

[0048] Optionally, the step of establishing a noise generator for a discrete time series includes:

[0049] The formula for the noise generator is:

[0050]

[0051] in, Indicates that the i-th agent node is The reference state of time is used to guide the agent nodes to achieve consistency, is random noise, and each component The mean is 0 and the scale parameter is The Laplace distribution of , that is, satisfies:

[0052]

[0053] Each component of the noise is independent of each other and follows the same distribution. The value of Inversely proportional, the formula is as follows:

[0054]

[0055] in, represents the parameter of differential privacy, is the sensitivity function at each moment.

[0056] Optionally, the step of introducing a random approximation method according to the noise generator to generate a distributed protocol includes:

[0057] The design of the distributed protocol based on the noise generator is as follows:

[0058]

[0059] in is a time-varying positive control gain that ensures that the system meets the requirements of differential privacy protection while achieving consistency. is the state feedback gain, is the reference state feedback, is the reference state, and , exist t k The moment is right continuous, that is

[0060] .

[0061] Optionally, the step of generating an adaptive feedback mechanism according to the noise generator includes:

[0062] Establishing a distributed observer and an output module corresponding to the distributed observer;

[0063] Establish a dynamic adjustment function σ(t) about the noise intensity:

[0064]

[0065] When operating normally, the noise intensity is σ low To ensure control accuracy;

[0066] When a potential attack is detected, the noise intensity increases to σ high , to enhance privacy protection;

[0067] The output module is compared with the operating state under the preset port to generate an adaptive feedback mechanism.

[0068] Optionally, the step of updating the secure encryption controller equation according to the noise generator, the adaptive feedback mechanism and the distributed protocol includes:

[0069] The secure cryptographic controller equations are updated according to the noise generator, the adaptive feedback mechanism, and the distributed protocol

[0070] .

[0071] Optionally, the step of solving the second coefficient matrix in the current secure encryption controller equation according to the first coefficient matrix in the microgrid group state space equation to generate a target secure encryption controller equation includes:

[0072] The current secure encryption controller equation is added to the microgrid group state space equation to satisfy

[0073] ;

[0074] Solve for the second coefficient matrix , Value

[0075]

[0076]

[0077] in, express Ability to adjust output matrix to achieve the desired identity matrix output.

[0078] In a second aspect, the present application provides an active information security encryption control system for a space-ground integrated microgrid group, wherein the active information security encryption control system for a space-ground integrated microgrid group includes:

[0079] A state space equation module, used for abstracting the distributed power source into an inverter in the microgrid group and modeling the inverter to generate a state space equation of the microgrid group;

[0080] Secure Encrypted Controller Equation module, used to establish secure encrypted controller equations based on differential privacy;

[0081] Noise generator module, used to build a noise generator for discrete time series;

[0082] A distributed protocol module, used for introducing a random approximation method according to the noise generator to generate a distributed protocol;

[0083] An adaptive feedback mechanism module, used for generating an adaptive feedback mechanism according to the noise generator;

[0084] an equation updating module, configured to update the secure encryption controller equation according to the noise generator, the adaptive feedback mechanism and the distributed protocol;

[0085] A target security encryption controller equation module is used to solve the second coefficient matrix in the current security encryption controller equation according to the first coefficient matrix in the state space equation of the microgrid group to generate a target security encryption controller equation

[0086] In summary, the present application includes the following beneficial technical effects:

[0087] This application abstracts the distributed power source into an inverter in the microgrid group and models it to generate the state space equation of the microgrid group; establishes a secure encryption controller equation based on differential privacy; establishes a noise generator for discrete time series; introduces a random approximation method to generate a distributed protocol; generates an adaptive feedback mechanism; updates the secure encryption controller equation according to the noise generator, the adaptive feedback mechanism and the distributed protocol; solves the second coefficient matrix in the current secure encryption controller equation according to the first coefficient matrix in the state space equation of the microgrid group to generate the target secure encryption controller equation. Through the dynamic adjustment mechanism, a balance is found between privacy protection and control accuracy, so that the encryption and decryption capabilities can be adapted to the actual situation of the microgrid group operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] Figure 1 This is a flow chart of the first embodiment of the active information security encryption control method of the space-ground integrated microgrid group of the present application;

[0089] Figure 2This is a schematic diagram of information interaction of a space-ground integrated microgrid group according to the first embodiment of the active information security encryption control method of the space-ground integrated microgrid group of the present application;

[0090] Figure 3 It is a structural block diagram of the first embodiment of the active information security encryption control system of the integrated space-ground microgrid group of the present application. DETAILED DESCRIPTION

[0091] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below through the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0092] The present application embodiment provides a method for controlling active information security encryption of a space-ground integrated microgrid group, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the active information security encryption control method of the space-ground integrated microgrid group of the present application.

[0093] Step S10: abstracting the distributed power source into an inverter in the microgrid group and modeling the inverter to generate a state space equation of the microgrid group.

[0094] It should be noted that the steps of abstracting the distributed power source into an inverter in the microgrid group and modeling the inverter to generate the state space equation of the microgrid group include: obtaining distributed power source information in the microgrid group; abstracting the inverter according to the distributed power source information; and establishing the state space equation of the microgrid group according to the primary control and secondary control of the inverter.

[0095] It is understandable that since droop control is a differential control, secondary control is also required in the distributed microgrid to eliminate the voltage error. Based on the distributed consistency theory, the distributed power sources in the microgrid can be abstracted into multiple intelligent agents. Each intelligent agent only communicates with its neighbors and uses its own and neighbor information for calculation and estimation without the need for a central controller; using sparse communication networks, the shortcomings of centralized control are avoided, and distributed power sources can be plug-and-play.

[0096] It can be understood that the steps of establishing the state space equation of the microgrid group according to the primary control and secondary control of the inverter include: defining the number of inverters , the primary control of the inverter is droop control, satisfying

[0097]

[0098] in, is the DC bus voltage, is the reference voltage, is the transmission line impedance, is the output current of the i-th inverter;

[0099] Increase the control amount of the secondary control corresponding to the inverter ,satisfy

[0100]

[0101] The goal of secondary control is

[0102]

[0103]

[0104] Because the bus voltage and each power supply current have the following relationship:

[0105]

[0106] in, , represents a column vector whose elements are all 1, is the total equivalent load impedance, so the input of the secondary control for

[0107]

[0108]

[0109] in a i , is the error coefficient, is the control input of the ith inverter, is the control input of the jth inverter, is the integral control coefficient, and the integral range is not limited;

[0110] When the microgrid group reaches a steady state, the voltage tracking error , the current tracking error is 0, is the bus voltage;

[0111] The current DC microgrid output current is:

[0112]

[0113] in, , R is the transmission line impedance, d is the droop coefficient;

[0114] The global joint error can be expressed as follows

[0115]

[0116] Where: ; ; ; is the Laplace matrix corresponding to the communication topology graph, for e a The state space equation of the microgrid can be obtained by derivation as follows:

[0117]

[0118] in, is the system state variable; , , , is the identity matrix.

[0119] Step S20: Establish a secure encryption controller equation based on differential privacy.

[0120] It should be noted that the steps of establishing a secure encryption controller equation based on differential privacy include: Establishing a secure encryption controller equation based on differential privacy

[0121]

[0122]

[0123] in , , , is the matrix that needs to be solved.

[0124] Step S30: Establish a noise generator for discrete time series.

[0125] It can be understood that the steps of establishing a noise generator for a discrete time series include: the formula of the noise generator is:

[0126]

[0127] in, Indicates that the i-th agent node is The reference state of time is used to guide the agent nodes to achieve consistency, is random noise, and each component The mean is 0 and the scale parameter is The Laplace distribution of , that is, satisfies:

[0128]

[0129] Each component of the noise is independent of each other and follows the same distribution. The value of Inversely proportional, the formula is as follows:

[0130]

[0131] in, represents the parameter of differential privacy, It is the sensitivity function at each moment, representing the sensitivity of the system output to the input data.

[0132] It should be noted that ϵ: This is a parameter of differential privacy, which is used to measure the privacy protection of the system. It determines the difficulty for an attacker to infer the original input when observing the output. : This is the control mechanism at each discrete moment The sensitivity parameter is used to measure the impact of changes in the data set on the observed results. : indicates that the i-th proxy node is A reference state of time used to guide agent nodes to achieve consistency.

[0133] Where β is the time-varying control gain, is the minimum degree of the graph.

[0134] .

[0135] Step S40: introducing a random approximation method according to the noise generator to generate a distributed protocol.

[0136] It should be noted that the steps of introducing a random approximation method according to a noise generator to generate a distributed protocol include: the distributed protocol design based on the noise generator is as follows:

[0137]

[0138] in is a time-varying positive control gain that ensures that the system meets the requirements of differential privacy protection while achieving consistency. is the state feedback gain, is the reference state feedback, is the reference state, and , exist t k The moment is right continuous, that is

[0139] .

[0140] In the specific implementation, for all ,when hour, and Independent of each other.

[0141] Step S50: Generate an adaptive feedback mechanism according to the noise generator.

[0142] It should be noted that in order to dynamically adjust the noise intensity, this embodiment designs a feedback control loop. First, a distributed observer is established to monitor the operating status of the microgrid group in real time. Then the output of the observer is compared with the normal operation of the system. Finally, the noise is adjusted using a dynamic adjustment function. Specifically, the adaptive feedback mechanism dynamically adjusts the intensity of the noise according to the operating status of the system (such as load, voltage, current, etc.) and potential security threats or anomalies in the communication network.

[0143] It can be understood that the step of generating an adaptive feedback mechanism according to the noise generator includes: establishing a distributed observer and an output module corresponding to the distributed observer; and establishing a dynamic adjustment function σ(t) about the noise intensity:

[0144]

[0145] When operating normally, the noise intensity is σ low To ensure control accuracy;

[0146] When a potential attack is detected, the noise intensity increases to σ high , to enhance privacy protection; compare the output module with the operating status under the preset port to generate an adaptive feedback mechanism.

[0147] Step S60: updating the secure encryption controller equation according to the noise generator, the adaptive feedback mechanism and the distributed protocol.

[0148] It should be noted that the step of updating the secure encryption controller equation according to the noise generator, the adaptive feedback mechanism and the distributed protocol includes: updating the secure encryption controller equation according to the noise generator, the adaptive feedback mechanism and the distributed protocol

[0149] .

[0150] Step S70: Solve the second coefficient matrix in the current security encryption controller equation according to the first coefficient matrix in the microgrid group state space equation to generate a target security encryption controller equation.

[0151] It can be understood that the step of solving the second coefficient matrix in the current security encryption controller equation according to the first coefficient matrix in the microgrid group state space equation to generate the target security encryption controller equation includes:

[0152] The current secure encryption controller equation is added to the microgrid group state space equation to satisfy

[0153] ;

[0154] Solve for the second coefficient matrix , Value

[0155]

[0156]

[0157] in, express Ability to adjust output matrix to achieve the desired identity matrix output.

[0158] In a specific implementation, the equation There must be a solution. express The output matrix Ci can be adjusted to achieve the desired identity matrix output.

[0159] It should be noted that if Figure 2 The schematic diagram of information interaction of the integrated space-ground microgrid group shown in FIG. The corresponding method mainly includes: firstly, the distributed power source is abstracted as an inverter, the inverter is modeled, and the state space equation of the integrated space-ground microgrid group is established according to the primary and secondary control of the inverter; then, a secure encryption controller is designed to address the security issues such as data leakage and malicious tampering faced by the microgrid group under the space-ground integration, and the information exchanged between the constrained nodes through the satellite-ground link is encrypted and decrypted. The establishment of the secure encryption controller is mainly divided into three parts: 1) Differential privacy noise addition: In the microgrid group control, Laplace noise or Gaussian noise is added to the data sent by each distributed node to the neighbor for privacy protection, ensuring that even if a malicious attacker obtains part of the data, sensitive information cannot be obtained by reverse calculation. 2) Introduce a random approximation method to achieve state tracking and control of the microgrid group system under the premise of ensuring privacy. The controller performs voltage recovery and current distribution based on the data after differential privacy protection to ensure the safe operation of the system. At this time, the introduction of noise will not affect the overall consistency of the system. 3) According to the operating status of the microgrid group, an adaptive feedback mechanism is set to adjust the intensity of the noise in real time. When the system is operating normally, the encryption strength remains low to ensure that the system has high control accuracy; when a potential attack or data anomaly is detected, the encryption strength increases and the privacy protection is strengthened. Through this dynamic adjustment mechanism, a balance can be found between privacy protection and control accuracy, so that the encryption and decryption capabilities can be adapted to the actual operation of the microgrid group. The present invention uses a differential privacy algorithm to encrypt and decrypt the information that the restrained nodes interact with each other through the satellite-to-ground link, thereby ensuring the privacy security of data transmission without affecting the coordinated operation of the microgrid group.

[0160] In a specific implementation, after the step of solving the second coefficient matrix in the current security encryption controller equation according to the first coefficient matrix in the microgrid group state space equation to generate the target security encryption controller equation, it also includes defining s, r, Steps: In this embodiment, s=0.35, r=4, =1.

[0161] s: is a probability index related to the system consistency accuracy, which can be used to describe the reliability of the system in achieving unbiased average output consistency. Specifically, it represents the probability that the output result reaches a given accuracy during the process of the system reaching consistency.

[0162] r: It is an error range in the system consistency accuracy, which is used to describe the distance between the final output result of the system and the target consistency, that is, the definition of the error range.

[0163] : is the differential privacy protection index of the system, which represents the strength of the system in protecting privacy during information interaction. Specifically, it is used to measure the degree of privacy leakage of the system in time series. Indicates stronger privacy protection.

[0164] The correlation between the three variables:

[0165] s and r: These two variables together define the accuracy requirement for the system to achieve unbiased average output consistency. r defines the error range of accuracy, while s defines the probability of consistency of the system within this accuracy range.

[0166] : is directly related to the privacy protection capability of the system. When designing the control gain and noise parameters, ensure The value of can ensure that the system meets the privacy protection requirements within a given time range. In addition, the choice of s will also affect Therefore, it is necessary to balance the consistency accuracy and privacy protection strength of the system.

[0167] It should be noted that after the step of solving the second coefficient matrix in the current secure encryption controller equation according to the first coefficient matrix in the microgrid group state space equation to generate the target secure encryption controller equation, the step of parameter design of the secure encryption controller based on differential privacy is also included:

[0168] The setting of scale parameter b: is random noise, and each component The mean is 0. The Laplace distribution with scale parameter b satisfies:

[0169]

[0170] in Each of these noise components is independent of each other and follows the same distribution. In addition, the covariance matrix of the noise is , ensuring the effectiveness of privacy protection. The intensity of the noise is determined by the parameter Control, larger The strength of privacy protection can be improved. Set to 4.

[0171] Feedback gain setting: state feedback gain K1 i The configuration goal is to ensure that the system matrix It is Hurwitz, that is, the closed-loop pole of the system is located in the left half plane of the complex plane, K1 i The specific method of configuration is to place the closed-loop poles of the system at the desired positions by solving linear matrix inequalities (LMI) or using a classical pole configuration algorithm (for example, using a modal control method in control theory).

[0172] Reference state feedback gain K2 i Usually configured as , where Πi and Ui are matrices obtained by solving the output regulation equation of the system. The goal of the configuration is to ensure that the system can track the reference input and achieve the required output.

[0173] At the same time, when performing pole configuration, the controllability and observability of the system must be ensured, that is, the system matrix ( A i , B i ) controllable.

[0174] Time variable gain Settings: Time-variable control gain Used to ensure that the system meets the requirements of differential privacy protection while achieving consistency. Satisfies the following formula:

[0175]

[0176] Among them, a1 and a2 are both positive numbers, used to adjust The initial value and decay rate of a1 and a2 are set to 1 and 3 respectively; control The decay rate of a is usually set to 0.75 to ensure that the system can converge and meet privacy requirements.

[0177] In this embodiment, the distributed power source is abstracted as an inverter in the microgrid group and modeled to generate the state space equation of the microgrid group; a secure encryption controller equation based on differential privacy is established; a noise generator of discrete time series is established; a random approximation method is introduced to generate a distributed protocol; an adaptive feedback mechanism is generated; the secure encryption controller equation is updated according to the noise generator, the adaptive feedback mechanism and the distributed protocol; the second coefficient matrix in the current secure encryption controller equation is solved according to the first coefficient matrix in the state space equation of the microgrid group to generate the target secure encryption controller equation. Through the dynamic adjustment mechanism, a balance is found between privacy protection and control accuracy, so that the encryption and decryption capabilities can be adapted to the actual situation of the microgrid group operation.

[0178] Reference Figure 3 , Figure 3 This is a structural block diagram of the first embodiment of the active information security encryption control system of the integrated space-ground microgrid group of this application.

[0179] like Figure 3 As shown, the active information security encryption control system of the integrated space-ground microgrid group proposed in the embodiment of the present application includes:

[0180] A state space equation module 10 is used to abstract the distributed power source into an inverter in the microgrid group and model the inverter to generate a state space equation of the microgrid group;

[0181] A secure encryption controller equation module 20, used to establish a secure encryption controller equation based on differential privacy;

[0182] A noise generator module 30, for establishing a noise generator of a discrete time series;

[0183] A distributed protocol module 40, for introducing a random approximation method according to a noise generator to generate a distributed protocol;

[0184] An adaptive feedback mechanism module 50, for generating an adaptive feedback mechanism according to a noise generator;

[0185] an equation updating module 60 for updating the secure encryption controller equations according to the noise generator, the adaptive feedback mechanism and the distributed protocol;

[0186] The target security encryption controller equation module 70 is used to solve the second coefficient matrix in the current security encryption controller equation according to the first coefficient matrix in the microgrid group state space equation to generate the target security encryption controller equation.

[0187] In this embodiment, the distributed power source is abstracted as an inverter in the microgrid group and modeled to generate the state space equation of the microgrid group; a secure encryption controller equation based on differential privacy is established; a noise generator of discrete time series is established; a random approximation method is introduced to generate a distributed protocol; an adaptive feedback mechanism is generated; the secure encryption controller equation is updated according to the noise generator, the adaptive feedback mechanism and the distributed protocol; the second coefficient matrix in the current secure encryption controller equation is solved according to the first coefficient matrix in the state space equation of the microgrid group to generate the target secure encryption controller equation. Through the dynamic adjustment mechanism, a balance is found between privacy protection and control accuracy, so that the encryption and decryption capabilities can be adapted to the actual situation of the microgrid group operation.

[0188] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present application. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0189] In addition, for technical details not described in detail in this embodiment, please refer to the method for active information security encryption control of the space-ground integrated microgrid group provided in any embodiment of the present application, which will not be repeated here.

[0190] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0191] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0192] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods of each embodiment of the present application.

[0193] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for active information security encryption control of a space-ground integrated microgrid group, characterized in that: include: Abstracting the distributed power source into an inverter in the microgrid group and modeling the inverter to generate a state space equation of the microgrid group; Establish secure encrypted controller equations based on differential privacy; Build a noise generator for discrete time series; Introducing a random approximation method according to the noise generator to generate a distributed protocol; generating an adaptive feedback mechanism according to the noise generator; updating the secure cryptographic controller equations based on the noise generator, the adaptive feedback mechanism, and the distributed protocol; Wherein, the step of updating the secure encryption controller equation according to the noise generator, the adaptive feedback mechanism and the distributed protocol comprises: The secure cryptographic controller equations are updated according to the noise generator, the adaptive feedback mechanism, and the distributed protocol Among them, k is a non-negative integer used to identify the time point , N is an integer, is the state feedback gain, is the reference state feedback, is the reference state, is a time-varying positive control gain, represents a noise generator; The second coefficient matrix in the current security encryption controller equation is solved according to the first coefficient matrix in the state space equation of the microgrid group to generate a target security encryption controller equation.

2. The active information security encryption control method of the integrated space-ground microgrid group according to claim 1 is characterized in that: The step of abstracting the distributed power source into an inverter in the microgrid group and modeling the inverter to generate a state space equation of the microgrid group includes: Acquiring distributed power source information in the microgrid group; Abstracting the distributed power source information into an inverter; A microgrid group state space equation is established according to the primary control and secondary control of the inverter.

3. The active information security encryption control method of the integrated space-ground microgrid group according to claim 2 is characterized in that: The step of establishing a microgrid group state space equation according to the primary control and secondary control of the inverter comprises: Define the number of inverters , the primary control of the inverter is droop control, satisfying in, is the DC bus voltage, is the reference voltage, is the output current of the i-th inverter; Increase the control amount of the secondary control corresponding to the inverter ,satisfy The goal of the secondary control is in, is the reference voltage; Because the bus voltage and each power supply current have the following relationship: in, , represents a column vector whose elements are all 1, is the total equivalent load impedance, so the input of the secondary control for in a i , is the error coefficient, is the control input of the ith inverter, is the control input of the jth inverter, is the integral control coefficient, the integral range is not limited, It is expressed as joint error; When the microgrid group reaches a steady state, the voltage tracking error , the current tracking error is 0, is the bus voltage; The current DC microgrid output current is: in, , R is the transmission line impedance, d is the droop coefficient; The global joint error can be expressed as follows Where: ; ; ; is the Laplace matrix corresponding to the communication topology graph, for e a The state space equation of the microgrid can be obtained by derivation as follows: in, is the system state variable; , , , C is the identity matrix.

4. The active information security encryption control method of the integrated space-ground microgrid group according to claim 3 is characterized in that: The step of establishing a secure encrypted controller equation based on differential privacy includes: Establishing secure encrypted controller equations based on differential privacy in , , , is the matrix to be solved, ,in , is the identity matrix.

5. The active information security encryption control method of the integrated space-ground microgrid group according to claim 4 is characterized in that: The step of establishing a noise generator for a discrete time series comprises: The formula for the noise generator is: in, Indicates that the i-th agent node is The reference state of time is used to guide the agent nodes to achieve consistency, is random noise, and each component The mean is 0 and the scale parameter is The Laplace distribution of , that is, satisfies: Each component of the noise is independent of each other and follows the same distribution. The value of Inversely proportional, the formula is as follows: in, represents the parameter of differential privacy, is the sensitivity function at each moment.

6. The active information security encryption control method for the integrated space-ground microgrid group according to claim 5 is characterized in that: The step of generating an adaptive feedback mechanism according to the noise generator comprises: Establishing a distributed observer and an output module corresponding to the distributed observer; Establish a dynamic adjustment function σ(t) about the noise intensity: When operating normally, the noise intensity is σ low To ensure control accuracy; When a potential attack is detected, the noise intensity increases to σ high , to enhance privacy protection; The output module is compared with the operating state under the preset port to generate an adaptive feedback mechanism.

7. The method according to claim 1, characterized in that The step of introducing a random approximation method according to the noise generator to generate a distributed protocol comprises: The design of the distributed protocol based on the noise generator is as follows: in is a time-varying positive control gain that ensures that the system meets the requirements of differential privacy protection while achieving consistency. Represents the noise generator, k is a non-negative integer used to identify the time point , is the state feedback gain, is the reference state feedback, is the reference state, and , exist t k The moment is right continuous, that is 。 8. The method according to claim 1, characterized in that The step of solving the second coefficient matrix in the current security encryption controller equation according to the first coefficient matrix in the microgrid group state space equation to generate the target security encryption controller equation includes: The current secure encryption controller equation is added to the microgrid group state space equation to satisfy ； Solve for the second coefficient matrix , Value in, express Ability to adjust output matrix To achieve the desired identity matrix output , is the identity matrix.

9. An active information security encryption control system for a space-ground integrated microgrid group, characterized in that: Executing the method according to claim 1, the active information security encryption control of the integrated space-ground microgrid group includes: A state space equation module, used for abstracting the distributed power source into an inverter in the microgrid group and modeling the inverter to generate a state space equation of the microgrid group; Secure Encrypted Controller Equation module, used to establish secure encrypted controller equations based on differential privacy; Noise generator module, used to build a noise generator for discrete time series; A distributed protocol module, used for introducing a random approximation method according to the noise generator to generate a distributed protocol; An adaptive feedback mechanism module, used for generating an adaptive feedback mechanism according to the noise generator; an equation updating module, configured to update the secure encryption controller equation according to the noise generator, the adaptive feedback mechanism and the distributed protocol; The target security encryption controller equation module is used to solve the second coefficient matrix in the current security encryption controller equation according to the first coefficient matrix in the state space equation of the microgrid group to generate a target security encryption controller equation.

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