Privacy protection control method and system for space-ground integrated microgrid cluster

Abstract

The present invention discloses a privacy protection control method and system for a space-ground integrated microgrid cluster. The method includes: constructing a hybrid control model based on device attribute information of distributed power generation equipment, collecting current status information of the distributed power generation equipment, and adding a noise signal to the current status information to generate a first status signal, sending the first status signal to a neighboring power generation equipment adjacent to the distributed power generation equipment in the space-ground integrated microgrid cluster, and receiving a second status signal sent by the neighboring power generation equipment, parsing the second status signal to obtain device status information of the neighboring power generation equipment, inputting the current status information and the device status information into the hybrid control model, generating a control signal, and controlling the distributed power generation equipment based on the control signal. While ensuring efficient control of the distributed power generation equipment, it effectively avoids communication and data transmission leakage, thereby greatly improving the security performance of the space-ground integrated microgrid cluster.

Description

Technical Field

[0001] The present invention relates to the field of microgrid technology, and in particular to a privacy protection control method and system for a space-ground integrated microgrid cluster. Background Art

[0002] The development of integrated space-ground information networks offers a revolutionary solution to the energy management and communications needs of remote areas. Remote areas, such as mountaintops and isolated islands, have long faced significant challenges due to a lack of reliable communications and energy infrastructure. Compared to traditional communication methods, integrated space-ground information networks, by combining satellite constellations with existing terrestrial cellular networks, not only significantly improve the reliability and stability of microgrid clusters but also provide a new, cost-effective model for the scheduling and load management of distributed renewable energy. This model enables seamless and reliable internet connectivity worldwide, laying the technical foundation for cross-regional collaboration in the Energy Internet.

[0003] In a space-ground integrated information network environment, microgrid clusters face even more severe information security challenges due to their reliance on satellite communication links. Satellite data transmission is vulnerable to eavesdropping and attacks, and data leaks directly threaten the safe operation of the system. Currently, the long-term security requirements of a space-ground integrated information network environment cannot be fully met. Therefore, the data and signal transmission process between distributed power generation devices in a microgrid cluster is subject to leakage risks, resulting in inefficient coordination between distributed power generation devices and seriously affecting the overall stability and security of the microgrid cluster. Summary of the Invention

[0004] The main purpose of the present invention is to provide a privacy protection control method and system for a space-ground integrated microgrid cluster, aiming to solve the technical problem that the existing technology cannot effectively avoid the security leakage risk in the communication process between distributed power generation equipment in the space-ground integrated microgrid cluster, resulting in the inability to efficiently coordinate between distributed power generation equipment, which seriously affects the overall stability and security of the microgrid cluster.

[0005] To achieve the above objectives, the present invention provides a privacy protection control method for a space-ground integrated microgrid cluster. The privacy protection control method for a space-ground integrated microgrid cluster is applied to distributed power generation equipment in the space-ground integrated microgrid cluster. The microgrid cluster includes multiple distributed power generation equipment, and each distributed power generation equipment is sequentially communicated with each other. The privacy protection control method for the space-ground integrated microgrid cluster includes:

[0006] constructing a hybrid control model according to the device attribute information of the distributed power generation device;

[0007] Collecting current state information of the distributed power generation equipment, and adding a noise signal to the current state information to generate a first state signal;

[0008] Sending the first status signal to a neighboring power generation device adjacent to the distributed power generation device in the microgrid cluster, and receiving a second status signal sent by the neighboring power generation device;

[0009] parsing the second status signal to obtain device status information of the neighboring power generation device;

[0010] The current state information and the device state information are input into the hybrid control model to generate a control signal, and the distributed power generation device is controlled based on the control signal.

[0011] Optionally, the hybrid control model includes a frequency control module and a power control module, and the frequency control module includes:

[0012]

[0013]

[0014]

[0015] in, Represents the frequency control input parameter, and Represents the frequency control gain coefficient of the frequency control module, Represents distributed power generation equipment The actual output frequency parameters, Represents the frequency reference state quantity of the frequency control module, Represents a time node The frequency reference state quantity at the left limit of Representative Neighboring power generation equipment at time node The frequency state variable at the left limit of represents the time-varying control gain parameter, The set of neighboring power generation devices representing distributed generation, is the frequency reference state variable The derivative of represents the kth time node, express is a non-negative integer, represents the set of non-negative integers;

[0016] The power control module includes:

[0017]

[0018]

[0019]

[0020] in, represents the power control input parameter, and represents the power control gain coefficient of the power control module, Represents distributed power generation equipment The power droop coefficient, Represents distributed power generation equipment The measured value of active power output, Represents the power reference state quantity of the power control module, Represents a time node The power reference state quantity at the left limit of Representative Neighboring power generation equipment at time node The power state variable at the left limit of is the power reference state quantity The derivative of .

[0021] Optionally, constructing a hybrid control model according to the device attribute information of the distributed power generation device includes:

[0022] Determine the time-varying control gain parameter according to the device attribute information of the distributed power generation device and the noise generation module:

[0023]

[0024] in, and is a positive constant, is the gain adjustment coefficient, Used to adjust the rate at which the gain parameter changes over time, is the time-varying control gain parameter;

[0025] A hybrid control model is constructed based on the time-varying control gain parameters.

[0026] Optionally, collecting current state information of the distributed power generation equipment and adding a noise signal to the current state information to generate a first state signal includes:

[0027] Collecting current state information of the distributed power generation equipment, and generating an initial state signal based on the current state information, wherein the initial state signal includes an initial frequency signal and an initial power signal;

[0028] Construct a noise generation module, and add a noise signal to the initial state signal based on the noise generation module to generate a first state signal, wherein the first state signal includes a frequency encryption signal and a power encryption signal:

[0029]

[0030]

[0031]

[0032] in, Distributed power generation equipment Frequency encrypted signal, Indicates a time node The left limit of Distributed power generation equipment The initial frequency signal, represents the noise signal added to the initial frequency signal, Distributed power generation equipment The initial power signal, Distributed power generation equipment The power encrypted signal, Represents a noise signal It obeys the Laplace distribution, and the noise mean is 0. is the scale parameter, represents the kth time node, express is a non-negative integer, Represents the set of non-negative integers.

[0033] Optionally, the constructing of the noise generating module includes:

[0034] constructing a sensitivity function according to a time-varying control gain parameter of the hybrid control model;

[0035] Determine the differential privacy coefficient based on the sensitivity function:

[0036]

[0037] in, Represents a time node The sensitivity function of represents the differential privacy coefficient, represents the scale parameter of the noise signal, is the total length of the time series;

[0038] A noise generation module is constructed according to the differential privacy coefficient.

[0039] Optionally, inputting the current state information and the device state information into the hybrid control model, generating a control signal, and controlling the distributed power generation device based on the control signal includes:

[0040] Constructing a device control model of the distributed power generation equipment, wherein the device control model is an active power frequency control model:

[0041]

[0042]

[0043] in, is the actual frequency of the distributed generation equipment, is the expected frequency of the distributed generation equipment, is the power droop coefficient, is the measured value of the active power output of the distributed generation equipment, is the expected value of active power output, is the filter time constant, Indicates the active power output measurement value The rate of change, Indicates the active power output value of distributed power generation equipment;

[0044] The current state information and the device state information are input into the hybrid control model to generate a control signal, and the control signal is input into the device control model to control the distributed power generation device.

[0045] In addition, to achieve the above-mentioned purpose, the present invention also proposes a privacy protection control system for a space-ground integrated microgrid cluster, wherein the privacy protection control system for the space-ground integrated microgrid cluster comprises:

[0046] A hybrid control module, used for constructing a hybrid control model based on device attribute information of distributed power generation equipment;

[0047] an information processing module, configured to collect current state information of the distributed power generation equipment, and add a noise signal to the current state information to generate a first state signal;

[0048] a signal transceiver module, configured to send the first status signal to a neighboring power generation device adjacent to the distributed power generation device in the integrated space-ground microgrid cluster, and receive a second status signal sent by the neighboring power generation device;

[0049] a signal analysis module, configured to analyze the second status signal to obtain device status information of the neighboring power generation device;

[0050] The device control module is configured to input the current state information and the device state information into the hybrid control model, generate a control signal, and control the distributed power generation device based on the control signal.

[0051] Optionally, the hybrid control model includes a frequency control module and a power control module, and the frequency control module includes:

[0052]

[0053]

[0054]

[0055] in, Represents the frequency control input parameter, and Represents the frequency control gain coefficient of the frequency control module, Represents distributed power generation equipment The actual output frequency parameter, Represents the frequency reference state quantity of the frequency control module, Represents a time node The frequency reference state quantity at the left limit of Representative Neighboring power generation equipment at time node The frequency state variable at the left limit of represents the time-varying control gain parameter, The set of neighboring power generation devices representing distributed generation, is the frequency reference state variable The derivative of Representative Time nodes, represents the set of non-negative integers, express is a non-negative integer;

[0056] The power control module includes:

[0057]

[0058]

[0059]

[0060] in, represents the power control input parameter, and represents the power control gain coefficient of the power control module, Represents distributed power generation equipment The power droop coefficient, Represents distributed power generation equipment The measured value of active power output, Represents the power reference state quantity of the power control module, Represents a time node The power reference state quantity at the left limit of Representative Neighboring power generation equipment at time node The power state variable at the left limit of is the power reference state quantity The derivative of .

[0061] Optionally, the hybrid control module is further configured to determine a time-varying control gain parameter according to device attribute information of the distributed power generation device and the noise generation module:

[0062]

[0063] in, and is a positive constant, is the gain adjustment coefficient, Used to adjust the rate at which the gain parameter changes over time, is the time-varying control gain parameter;

[0064] A hybrid control model is constructed based on the time-varying control gain parameters.

[0065] Optionally, the information processing module is further configured to collect current state information of the distributed power generation equipment, and generate an initial state signal based on the current state information, wherein the initial state signal includes an initial frequency signal and an initial power signal;

[0066] Construct a noise generation module, and add a noise signal to the initial state signal based on the noise generation module to generate a first state signal, wherein the first state signal includes a frequency encryption signal and a power encryption signal:

[0067]

[0068]

[0069]

[0070] in, Distributed power generation equipment Frequency encrypted signal, Indicates a time node The left limit of Distributed power generation equipment The initial frequency signal, represents the noise signal added to the initial frequency signal, Distributed power generation equipment The initial power signal, Distributed power generation equipment The power encrypted signal, Represents a noise signal It obeys the Laplace distribution, and the noise mean is 0. is the scale parameter, Indicates the time series Time nodes, represents the set of non-negative integers, express A non-negative integer.

[0071] In addition, to achieve the above-mentioned purpose, the present application also proposes a privacy protection control device for a space-ground integrated microgrid cluster, the device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the privacy protection control method for a space-ground integrated microgrid cluster as described above.

[0072] In addition, to achieve the above-mentioned purpose, the present application also proposes a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the privacy protection control method for the integrated space-ground microgrid cluster as described above are implemented.

[0073] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the privacy protection control method for the integrated space-ground microgrid cluster as described above.

[0074] The present invention is applied to distributed power generation equipment in a space-ground integrated microgrid cluster, wherein the microgrid cluster includes multiple distributed power generation equipment, and each distributed power generation equipment is sequentially communicated with each other. The present invention constructs a hybrid control model based on the equipment attribute information of the distributed power generation equipment; collects current state information of the distributed power generation equipment, and adds a noise signal to the current state information to generate a first state signal; sends the first state signal to a neighboring power generation equipment adjacent to the distributed power generation equipment in the microgrid cluster, and receives a second state signal sent by the neighboring power generation equipment; parses the second state signal to obtain the equipment state information of the neighboring power generation equipment; inputs the current state information and the equipment state information into the hybrid control model, generates a control signal, and controls the distributed power generation equipment based on the control signal; because the present invention adds noise to the interactive signal between the devices, and exchanges signals with the adjacent neighboring power generation equipment based on the noise-processed signal, the communication privacy and security between the power generation equipment are effectively improved, while ensuring the efficient control of the distributed power generation equipment, the communication and data transmission leakage is effectively avoided, and the security performance of the space-ground integrated microgrid cluster is greatly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0076] Figure 1 Schematic diagram of the structure of a privacy protection control device for a space-ground integrated microgrid cluster in a hardware operating environment according to an embodiment of the present invention;

[0077] Figure 2 This is a flow chart of an embodiment of a privacy protection control method for a space-ground integrated microgrid cluster according to the present invention;

[0078] Figure 3 This is a structural block diagram of an embodiment of the privacy protection control system for the integrated space-ground microgrid cluster of the present invention.

[0079] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0080] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0081] Reference Figure 1 , Figure 1This is a structural diagram of a privacy protection control device for a space-ground integrated microgrid cluster in the hardware operating environment involved in an embodiment of the present invention.

[0082] like Figure 1 As shown, the privacy protection control device for a space-ground integrated microgrid cluster may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display and an input unit, such as a keyboard. Optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a wireless fidelity (WI-FI) interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. Optionally, the memory 1005 may be a storage system independent of the processor 1001.

[0083] Those skilled in the art will understand that Figure 1 The structure shown in does not constitute a limitation on the privacy protection control device for the integrated space-ground microgrid cluster, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0084] like Figure 1 As shown, the memory 1005 as a computer-readable storage medium may include an operating system, a network communication module, a user interface module, and a privacy protection control program for a space-ground integrated microgrid cluster.

[0085] exist Figure 1 In the privacy protection control device for the integrated space-ground microgrid cluster shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the privacy protection control device for the integrated space-ground microgrid cluster of the present invention can be set in the privacy protection control device for the integrated space-ground microgrid cluster, and the privacy protection control device for the integrated space-ground microgrid cluster calls the privacy protection control program for the integrated space-ground microgrid cluster stored in the memory 1005 through the processor 1001, and executes the privacy protection control method for the integrated space-ground microgrid cluster provided by the embodiment of the present invention.

[0086] The embodiment of the present invention provides a privacy protection control method for a space-ground integrated microgrid cluster, referring to Figure 2 , Figure 2 This is a flow chart of an embodiment of a privacy protection control method for a space-ground integrated microgrid cluster according to the present invention.

[0087] In this embodiment, the privacy protection control method for a space-ground integrated microgrid cluster is applied to a distributed power generation device in the microgrid cluster. The microgrid cluster includes multiple distributed power generation devices, and each distributed power generation device is sequentially communicated with each other. The privacy protection control method for a space-ground integrated microgrid cluster includes the following steps:

[0088] Step S10: constructing a hybrid control model according to the device attribute information of the distributed power generation equipment.

[0089] It should be understood that a microgrid cluster can be composed of multiple microgrids that are interconnected and operate in coordination to form a larger-scale power system. The microgrid cluster includes multiple distributed power generation equipment, which can be solar generators, wind turbines, thermal generators, etc.

[0090] It should be noted that the execution entity of this embodiment can be the control device for distributed power generation equipment in a space-ground integrated microgrid cluster. This control device is a computing service device with data processing, network communication, and program execution capabilities, such as a central controller or integrated processor, or a terminal electronic device capable of implementing the aforementioned functions. This embodiment and the following embodiments are described below using a privacy protection control device for a space-ground integrated microgrid cluster (hereinafter referred to as the control device) as an example.

[0091] It should be noted that the hybrid control model may be a distributed hybrid controller for controlling frequency recovery and power distribution of power generation equipment. The equipment attribute information may be equipment frequency parameters, active power parameters, control gain parameters, etc. of the distributed power generation equipment.

[0092] In some embodiments, the hybrid control model may include an active power control module and a frequency control module. To achieve frequency recovery and accurate active power distribution for each distributed generator in the microgrid cluster, the control device may be provided with a distributed frequency control module and a distributed active power control module, respectively.

[0093] Furthermore, in order to avoid the control deviation problem and improve the control efficiency, the hybrid control model includes a frequency control module and a power control module. In the traditional droop control method, when there is a deviation in the active power, the distributed power generation equipment The frequency will also be affected, resulting in frequency deviation. In order to achieve frequency recovery and accurate active power distribution of each distributed power generation device in the microgrid, in one embodiment, the frequency control module includes:

[0094]

[0095]

[0096]

[0097] In which each distributed generation device exchanges information at discrete moments, Represents a moment (i.e., a time node), defined ;definition 、 t k+1 − t k = h k ≥ h min ; Represents the minimum time interval for exchanging information between two adjacent distributed generation devices.

[0098] in, Represents the frequency control input parameter, and represents the frequency control gain coefficient of the frequency control module, and , Represents distributed power generation equipment The actual output frequency parameters, Represents the frequency reference state quantity of the frequency control module, Represents a time node The frequency reference state quantity at the left limit of Representative Neighboring power generation equipment at time node The frequency state variable at the left limit of represents the time-varying control gain parameter, The set of neighboring power generation devices representing distributed generation, is the frequency reference state variable The derivative of Representative Time nodes, express is a non-negative integer, represents the set of non-negative integers;

[0099] The power control module includes:

[0100]

[0101]

[0102]

[0103] in, represents the power control input parameter, and represents the power control gain coefficient of the power control module, Represents distributed power generation equipment The power droop coefficient, Represents distributed power generation equipment The measured value of active power output, Represents the power reference state quantity of the power control module, Represents a time node The power reference state quantity at the left limit of Representative Neighboring power generation equipment at time node The power state variable at the left limit of is the power reference state quantity The derivative of .

[0104] Furthermore, in order to ensure the operating stability of the distributed power generation equipment, the above step S10 may include:

[0105] Step S11: determining a time-varying control gain parameter according to the device attribute information of the distributed power generation device and the noise generation module;

[0106] Step S12: constructing a hybrid control model based on the time-varying control gain parameters.

[0107] It should be noted that in order to achieve asymptotically unbiased output average consensus for the frequency and active power of each distributed generation device in the integrated space-ground microgrid cluster with the required accuracy and satisfy the predefined differential privacy coefficient, the control device can design a time-varying control gain, referring to the following formula:

[0108]

[0109] in, and is a positive constant, is the gain adjustment coefficient, Used to adjust the rate at which the gain parameter changes over time, is the time-varying control gain parameter. Under non-attenuating noise, by choosing an appropriate control gain , thereby ensuring that the hybrid control model can converge and maintain a predefined accuracy. In addition, the control device can be To improve accuracy.

[0110] Step S20: collecting current status information of the distributed power generation equipment, and adding a noise signal to the current status information to generate a first status signal.

[0111] It should be noted that the current state information may be the current device state information of the distributed power generation device to which the control device belongs. For example, the current state information may include the frequency and active power of the distributed power generation device.

[0112] It can be understood that the first state signal may be a noise encrypted signal generated by adding noise to the current state information, wherein the noise signal may be non-attenuated noise.

[0113] In the specific implementation, in order to achieve signal encryption, non-attenuated noise is added to the frequency signals and active power signals exchanged between the distributed power generation equipment in the microgrid cluster, thereby enhancing the signal security and anti-interference ability, and obtaining the signal that each unit ultimately sends out.

[0114] Furthermore, in order to improve communication security and prevent noise from decaying over time, step S20 may include:

[0115] Step S21: collecting current state information of the distributed power generation equipment, and generating an initial state signal based on the current state information, wherein the initial state signal includes an initial frequency signal and an initial power signal;

[0116] Step S22: constructing a noise generation module, and adding a noise signal to the initial state signal based on the noise generation module to generate a first state signal, wherein the first state signal includes a frequency encryption signal and a power encryption signal.

[0117] It should be noted that the control device can use a series of time-varying control gains to establish a privacy mechanism. These privacy mechanisms require that the privacy noise decays exponentially over time. Using non-decaying privacy noise, the transmitted information can maintain a random variance that remains constant, and the true information will not be directly exposed to eavesdroppers over time. The noise generation module is represented as:

[0118]

[0119]

[0120]

[0121] in, Distributed power generation equipment Frequency encrypted signal, Indicates a time node The left limit of Distributed power generation equipment The initial frequency signal, represents the noise signal added to the initial frequency signal, Distributed power generation equipment The initial power signal, Distributed power generation equipment The power encrypted signal, Represents a noise signal It obeys the Laplace distribution, and the noise mean is 0. is the scale parameter, Representative Time nodes, express is a non-negative integer, Represents the set of non-negative integers.

[0122] Furthermore, in order to improve signal confidentiality, the above step S22 may include:

[0123] Step S221: constructing a sensitivity function according to the time-varying control gain parameters of the hybrid control model;

[0124] Step S222: determining a differential privacy coefficient based on the sensitivity function;

[0125] Step S223: constructing a noise generation module according to the differential privacy coefficient.

[0126] It should be noted that the differential privacy coefficient satisfies the following formula:

[0127]

[0128] in, Represents a time node The sensitivity function represents the sensitivity of the system output to the input data. represents the differential privacy coefficient, represents the scale parameter of the noise signal, is the total length of the time series, the differential privacy coefficient It can be described by the sum of sensitivities. The bigger, The smaller, the The smaller the value, the better the protection effect. Similarly, if we choose a parameter with larger The privacy noise will become smaller, thus ensuring greater confidentiality.

[0129] Step S30: sending the first status signal to a neighboring power generation device adjacent to the distributed power generation device in the microgrid cluster, and receiving a second status signal sent by the neighboring power generation device.

[0130] It should be noted that the neighboring power generation device may be an adjacent generator in the microgrid cluster that is communicatively connected to the distributed power generation device to which the control device belongs. The second status signal may be a status signal generated by the neighboring power generation device after adding noise to its own current status information.

[0131] Step S40: parse the second status signal to obtain device status information of the neighboring power generation device.

[0132] It can be understood that each distributed generator in the integrated space-ground microgrid collects its own status information (frequency and power) in real time, adds noise to its own status information, sends signals to adjacent generators through the communication network, and receives the signals of adjacent generators in real time. After the signals of adjacent generators are subjected to noise reduction and analysis, the equipment status information of the adjacent generators is obtained, and its own status information and the equipment status information of the adjacent generators are used as dynamic inputs of the hybrid controller.

[0133] Step S50: inputting the current state information and the device state information into the hybrid control model, generating a control signal, and controlling the distributed power generation equipment based on the control signal.

[0134] It can be understood that the control device inputs its own current status information and the collected equipment status information of neighboring power generation equipment into the hybrid controller, generates a control signal, and performs frequency recovery control and active power distribution control on the distributed power generation equipment based on the control signal.

[0135] Furthermore, in order to improve frequency and power control efficiency, the above step S50 may include:

[0136] Step S51: constructing a device control model of the distributed power generation equipment, wherein the device control model is an active power frequency control model;

[0137] Step S52: inputting the current state information and the device state information into the hybrid control model to generate a control signal, and inputting the control signal into the device control model to control the distributed power generation equipment.

[0138] In some embodiments, the control device may construct a N The AC microgrid model consists of a directed graph Indicates that the i A distributed generator corresponds to a node iThe node set consists of Given, and Represents an edge set.

[0139] In some embodiments, the control and equipment can establish a distributed generator frequency and active power model using droop control. As a basic control strategy for coordinating distributed power sources, droop control works similarly to the primary frequency regulation of traditional synchronous generators. i The frequency and active power model of a distributed generator is:

[0140]

[0141] The measured :

[0142]

[0143] in, is the actual frequency of the distributed generation equipment, is the expected frequency of the distributed generation equipment, is the power droop coefficient, is the measured value of the active power output of the distributed generation equipment, is the expected value of active power output, is the filter time constant, Indicates the active power output measurement value The rate of change, Indicates the active power output value of distributed power generation equipment.

[0144] In some embodiments, the current state information and the device state information are input into the hybrid control model to generate a control signal, and the control signal is input into the device control model, referring to the following formula:

[0145]

[0146] This embodiment constructs a hybrid control model based on the equipment attribute information of the distributed power generation equipment; collects the current state information of the distributed power generation equipment, and adds a noise signal to the current state information to generate a first state signal; sends the first state signal to the neighboring power generation equipment adjacent to the distributed power generation equipment in the integrated space-ground microgrid cluster, and receives the second state signal sent by the neighboring power generation equipment; parses the second state signal to obtain the equipment state information of the neighboring power generation equipment; inputs the current state information and the equipment state information into the hybrid control model, generates a control signal, and controls the distributed power generation equipment based on the control signal; because this embodiment adds noise to the interaction signal between devices, and interacts with the adjacent neighboring power generation equipment based on the noise-processed signal, it effectively improves the communication privacy and security between the power generation equipment, and effectively avoids communication and data transmission leakage while ensuring efficient control of the distributed power generation equipment, thereby greatly improving the security performance of the microgrid cluster.

[0147] In addition, an embodiment of the present invention also proposes a computer-readable storage medium, which stores a privacy protection control program for a space-ground integrated microgrid cluster. When the privacy protection control program for a space-ground integrated microgrid cluster is executed by a processor, the steps of the privacy protection control method for a space-ground integrated microgrid cluster as described above are implemented.

[0148] The computer-readable storage medium provided herein may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems, or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including, but not limited to, wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0149] The above-mentioned computer-readable storage medium may be included in the privacy protection control device for the integrated space-ground microgrid cluster; or it may exist independently without being assembled into the privacy protection control device for the integrated space-ground microgrid cluster.

[0150] In addition, an embodiment of the present invention also proposes a computer program product, including a privacy protection control program for a space-ground integrated microgrid cluster. When the privacy protection control program for a space-ground integrated microgrid cluster is executed by a processor, it implements the steps of the privacy protection control method for a space-ground integrated microgrid cluster as described above.

[0151] The specific implementation of the computer program product of the present invention is basically the same as the embodiments of the privacy protection control method for the above-mentioned integrated space-ground microgrid cluster, and will not be repeated here.

[0152] Reference Figure 3 , Figure 3 This is a structural block diagram of an embodiment of the privacy protection control system for the integrated space-ground microgrid cluster of the present invention.

[0153] like Figure 3 As shown, the privacy protection control system for the integrated space-ground microgrid cluster proposed in the embodiment of the present invention includes:

[0154] A hybrid control module 10 is configured to construct a hybrid control model based on device attribute information of distributed power generation equipment;

[0155] An information processing module 20 is configured to collect current status information of the distributed power generation equipment and add a noise signal to the current status information to generate a first status signal;

[0156] a signal transceiver module 30, configured to send the first status signal to a neighboring power generation device adjacent to the distributed power generation device in the integrated space-ground microgrid cluster, and receive a second status signal sent by the neighboring power generation device;

[0157] a signal analysis module 40, configured to analyze the second status signal to obtain device status information of the neighboring power generation device;

[0158] The device control module 50 is configured to input the current state information and the device state information into the hybrid control model, generate a control signal, and control the distributed power generation device based on the control signal.

[0159] Furthermore, the hybrid control model includes a frequency control module and a power control module, and the frequency control module includes:

[0160]

[0161]

[0162]

[0163] in, Represents the frequency control input parameter, and Represents the frequency control gain coefficient of the frequency control module, Represents distributed power generation equipment The actual output frequency parameters, Represents the frequency reference state quantity of the frequency control module, Represents a time node The frequency reference state quantity at the left limit of Representative Neighboring power generation equipment at time node The frequency state variable at the left limit of represents the time-varying control gain parameter, The set of neighboring power generation devices representing distributed generation, is the frequency reference state variable The derivative of Representative Time nodes, express is a non-negative integer, represents the set of non-negative integers;

[0164] The power control module includes:

[0165]

[0166]

[0167]

[0168] in, represents the power control input parameter, and represents the power control gain coefficient of the power control module, Represents distributed power generation equipment The power droop coefficient, Represents distributed power generation equipment The measured value of active power output, Represents the power reference state quantity of the power control module, Represents a time node The power reference state quantity at the left limit of Representative Neighboring power generation equipment at time node The power state variable at the left limit of is the power reference state quantity The derivative of .

[0169] Furthermore, the hybrid control module 10 is further configured to determine a time-varying control gain parameter based on the device attribute information of the distributed power generation device and the noise generation module:

[0170]

[0171] in, and is a positive constant, is the gain adjustment coefficient, Used to adjust the rate at which the gain parameter changes over time, is the time-varying control gain parameter;

[0172] A hybrid control model is constructed based on the time-varying control gain parameters.

[0173] Furthermore, the information processing module 20 is further configured to collect current state information of the distributed power generation equipment and generate an initial state signal based on the current state information, wherein the initial state signal includes an initial frequency signal and an initial power signal; construct a noise generation module, and add a noise signal to the initial state signal based on the noise generation module to generate a first state signal, wherein the first state signal includes a frequency encryption signal and a power encryption signal.

[0174]

[0175]

[0176]

[0177] in, Distributed power generation equipment Frequency encrypted signal, Indicates a time node The left limit of Distributed power generation equipment The initial frequency signal, represents the noise signal added to the initial frequency signal, Distributed power generation equipment The initial power signal, Distributed power generation equipment The power encrypted signal, Represents a noise signal Obeying the Laplace distribution, the noise mean is 0, is the scale parameter, Representative Time nodes, express is a non-negative integer, Represents the set of non-negative integers.

[0178] Furthermore, the information processing module 20 is further configured to construct a sensitivity function according to the time-varying control gain parameter of the hybrid control model; and determine a differential privacy coefficient based on the sensitivity function:

[0179]

[0180] in, Represents a time node The sensitivity function of represents the differential privacy coefficient, represents the scale parameter of the noise signal, is the total length of the time series;

[0181] A noise generation module is constructed according to the differential privacy coefficient.

[0182] Furthermore, the device control module 50 is further configured to construct a device control model of the distributed power generation equipment, wherein the device control model is an active power frequency control model:

[0183]

[0184]

[0185] in, is the actual frequency of the distributed generation equipment, is the expected frequency of the distributed generation equipment, is the power droop coefficient, is the measured value of the active power output of the distributed generation equipment, is the expected value of active power output, is the filter time constant, Indicates the active power output measurement value The rate of change, Indicates the active power output value of distributed power generation equipment;

[0186] The current state information and the device state information are input into the hybrid control model to generate a control signal, and the control signal is input into the device control model to control the distributed power generation device.

[0187] This embodiment constructs a hybrid control model based on the equipment attribute information of the distributed power generation equipment; collects the current state information of the distributed power generation equipment, and adds a noise signal to the current state information to generate a first state signal; sends the first state signal to the neighboring power generation equipment adjacent to the distributed power generation equipment in the integrated space-ground microgrid cluster, and receives the second state signal sent by the neighboring power generation equipment; parses the second state signal to obtain the equipment state information of the neighboring power generation equipment; inputs the current state information and the equipment state information into the hybrid control model, generates a control signal, and controls the distributed power generation equipment based on the control signal; because this embodiment adds noise to the interaction signal between devices, and interacts with the adjacent neighboring power generation equipment based on the noise-processed signal, it effectively improves the communication privacy and security between the power generation equipment, and effectively avoids communication and data transmission leakage while ensuring the efficient control of the distributed power generation equipment, thereby greatly improving the safety performance of the integrated space-ground microgrid cluster.

[0188] The privacy protection control system for a space-ground integrated microgrid cluster provided by this application adopts the privacy protection control method for a space-ground integrated microgrid cluster in the above-mentioned embodiment, and can solve the technical problems of privacy protection control for a space-ground integrated microgrid cluster. Compared with the existing technology, the beneficial effects of the privacy protection control system for a space-ground integrated microgrid cluster provided by this application are the same as the beneficial effects of the privacy protection control method for a space-ground integrated microgrid cluster provided by the above-mentioned embodiment, and the other technical features of the privacy protection control system for a space-ground integrated microgrid cluster are the same as the features disclosed in the above-mentioned embodiment method, and are not further described here.

[0189] It should be understood that the above is only an example and does not constitute any limitation to the technical solution of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any limitation on this.

[0190] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of it according to actual needs to achieve the purpose of the embodiment scheme, and no limitation is made here.

[0191] In addition, for technical details not fully described in this embodiment, please refer to the privacy protection control method for the integrated space-ground microgrid cluster provided in any embodiment of the present invention, and will not be repeated here.

[0192] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0193] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0194] Through the above description of the embodiments, those skilled in the art will clearly understand that the above-mentioned embodiments and methods can be implemented by means of software plus the necessary general-purpose hardware platform. Of course, hardware can also be used, but in many cases the former is a more preferred embodiment. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory / random access memory, a magnetic disk, or an optical disk) and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0195] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A privacy protection control method for a space-ground integrated microgrid cluster, characterized in that: The privacy protection control method for the integrated space-ground microgrid cluster is applied to distributed power generation equipment in the integrated space-ground microgrid cluster, wherein the microgrid cluster includes multiple distributed power generation equipment, each of which is sequentially communicated with each other. The privacy protection control method for the integrated space-ground microgrid cluster includes: constructing a hybrid control model according to the device attribute information of the distributed power generation device; Collecting current state information of the distributed power generation equipment, and adding a noise signal to the current state information to generate a first state signal; Sending the first status signal to a neighboring power generation device adjacent to the distributed power generation device in the integrated space-ground microgrid cluster, and receiving a second status signal sent by the neighboring power generation device; parsing the second status signal to obtain device status information of the neighboring power generation device; Inputting the current state information and the device state information into the hybrid control model, generating a control signal, and controlling the distributed power generation device based on the control signal; The hybrid control model includes a frequency control module and a power control module, and the frequency control module includes: in, Represents the frequency control input parameter, and Represents the frequency control gain coefficient of the frequency control module, Represents distributed power generation equipment The actual output frequency parameter, Represents the frequency reference state quantity of the frequency control module, Represents a time node The frequency reference state quantity at the left limit of Representative Neighboring power generation equipment at time node The frequency state variable at the left limit of represents the time-varying control gain parameter, The set of neighboring power generation devices representing distributed generation, is the frequency reference state variable The derivative of Representative Time nodes, represents the set of non-negative integers, express is a non-negative integer; The power control module includes: in, represents the power control input parameter, and represents the power control gain coefficient of the power control module, Represents distributed power generation equipment The power droop coefficient, Represents distributed power generation equipment The measured value of active power output, Represents the power reference state quantity of the power control module, Represents a time node The power reference state quantity at the left limit of Representative Neighboring power generation equipment at time node The power state variable at the left limit of is the power reference state quantity The derivative of .

2. The privacy protection control method for a space-ground integrated microgrid cluster according to claim 1, characterized in that: The constructing of a hybrid control model according to the device attribute information of the distributed power generation device includes: Determine the time-varying control gain parameter according to the device attribute information of the distributed power generation device and the noise generation module: in, and is a positive constant, is the gain adjustment coefficient, Used to adjust the rate at which the gain parameter changes over time, is the time-varying control gain parameter; A hybrid control model is constructed based on the time-varying control gain parameters.

3. The privacy protection control method for a space-ground integrated microgrid cluster according to any one of claims 1 or 2, characterized in that: The collecting current state information of the distributed power generation equipment and adding a noise signal to the current state information to generate a first state signal includes: Collecting current state information of the distributed power generation equipment, and generating an initial state signal based on the current state information, wherein the initial state signal includes an initial frequency signal and an initial power signal; Construct a noise generation module, and add a noise signal to the initial state signal based on the noise generation module to generate a first state signal, wherein the first state signal includes a frequency encryption signal and a power encryption signal: in, Distributed power generation equipment Frequency encrypted signal, Indicates a time node The left limit of Distributed power generation equipment The initial frequency signal, represents the noise signal added to the initial frequency signal, Distributed power generation equipment The initial power signal, Distributed power generation equipment The power encrypted signal, Represents a noise signal Obeying the Laplace distribution, the noise mean is 0, is the scale parameter, Indicates the time series Time nodes, represents the set of non-negative integers, express A non-negative integer.

4. The privacy protection control method for a space-ground integrated microgrid cluster according to claim 3, characterized in that: The noise generating module is constructed, comprising: constructing a sensitivity function according to a time-varying control gain parameter of the hybrid control model; Determine the differential privacy coefficient based on the sensitivity function: in, Represents a time node The sensitivity function of represents the differential privacy coefficient, represents the scale parameter of the noise signal, is the total length of the time series; A noise generation module is constructed according to the differential privacy coefficient.

5. The privacy protection control method for a space-ground integrated microgrid cluster according to any one of claims 1 or 2, characterized in that: Inputting the current state information and the device state information into the hybrid control model, generating a control signal, and controlling the distributed power generation device based on the control signal includes: Constructing a device control model of the distributed power generation equipment, wherein the device control model is an active power frequency control model: in, is the actual frequency of the distributed generation equipment, is the expected frequency of the distributed generation equipment, is the power droop coefficient, is the measured value of the active power output of the distributed generation equipment, is the expected value of active power output, is the filter time constant, Indicates the active power output measurement value The rate of change, Indicates the active power output value of distributed power generation equipment; The current state information and the device state information are input into the hybrid control model to generate a control signal, and the control signal is input into the device control model to control the distributed power generation device.

6. A privacy protection control system for a space-ground integrated microgrid cluster, characterized in that: The privacy protection control system for the integrated space-ground microgrid cluster includes: A hybrid control module, used for constructing a hybrid control model based on device attribute information of distributed power generation equipment; an information processing module, configured to collect current state information of the distributed power generation equipment, and add a noise signal to the current state information to generate a first state signal; a signal transceiver module, configured to send the first status signal to a neighboring power generation device adjacent to the distributed power generation device in the integrated space-ground microgrid cluster, and receive a second status signal sent by the neighboring power generation device; a signal analysis module, configured to analyze the second status signal to obtain device status information of the neighboring power generation device; an equipment control module, configured to input the current state information and the equipment state information into the hybrid control model, generate a control signal, and control the distributed power generation equipment based on the control signal; The hybrid control model includes a frequency control module and a power control module, and the frequency control module includes: in, Represents the frequency control input parameter, and Represents the frequency control gain coefficient of the frequency control module, Represents distributed power generation equipment The actual output frequency parameters, Represents the frequency reference state quantity of the frequency control module, Represents a time node The frequency reference state quantity at the left limit of Representative Neighboring power generation equipment at time node The frequency state variable at the left limit of represents the time-varying control gain parameter, The set of neighboring power generation devices representing distributed generation, is the frequency reference state variable The derivative of Representative Time nodes, represents the set of non-negative integers, express is a non-negative integer; The power control module includes: in, represents the power control input parameter, and represents the power control gain coefficient of the power control module, Represents distributed power generation equipment The power droop coefficient, Represents distributed power generation equipment The measured value of active power output, Represents the power reference state quantity of the power control module, Represents a time node The power reference state quantity at the left limit of Representative Neighboring power generation equipment at time node The power state variable at the left limit of is the power reference state quantity The derivative of .

7. The privacy protection control system for the integrated space-ground microgrid cluster according to claim 6, characterized in that: The hybrid control module is further configured to determine a time-varying control gain parameter based on the device attribute information of the distributed power generation device and the noise generation module: in, and is a positive constant, is the gain adjustment coefficient, Used to adjust the rate at which the gain parameter changes over time, is the time-varying control gain parameter; A hybrid control model is constructed based on the time-varying control gain parameters.

8. The privacy protection control system for a space-ground integrated microgrid cluster according to any one of claims 6 or 7, characterized in that: The information processing module is further configured to collect current state information of the distributed power generation equipment and generate an initial state signal based on the current state information, wherein the initial state signal includes an initial frequency signal and an initial power signal; Construct a noise generation module, and add a noise signal to the initial state signal based on the noise generation module to generate a first state signal, wherein the first state signal includes a frequency encryption signal and a power encryption signal: in, Distributed power generation equipment Frequency encrypted signal, Indicates a time node The left limit of Distributed power generation equipment The initial frequency signal, represents the noise signal added to the initial frequency signal, Distributed power generation equipment The initial power signal, Distributed power generation equipment The power encrypted signal, Represents a noise signal Obeying the Laplace distribution, the noise mean is 0, is the scale parameter, Indicates the time series Time nodes, represents the set of non-negative integers, express A non-negative integer.

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