Power system monitoring method and system based on quantum key distribution

Abstract

The invention discloses an electric power system monitoring method based on quantum key distribution, and the method specifically comprises the following steps: collecting current electric power system operation data; the operation data of the power system comprises equipment operation data of all equipment, line operation data of all lines, node power data of all nodes, and key generation data and key security data of the power system; evaluating a current power system operation state based on the current power system operation data, wherein the power system operation state comprises an equipment health state, a line safety state, a node power stable state, a key generation capability and an anti-eavesdropping capability; and detecting whether the power system is healthy based on the current power system operation state, and if not, sending out a related prompt. The operation state of the power system is comprehensively monitored based on diversified data acquisition, problems existing in a circuit system can be found in time, response measures are taken in time, and normal operation of the power system is guaranteed as much as possible.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system monitoring. More specifically, the present invention relates to a power system monitoring method and system based on quantum key distribution. Background Art

[0002] With the continuous development and expansion of the power system, the complexity and security requirements of the power network are increasing day by day. Due to its unique security advantages, quantum key distribution technology has brought new opportunities for power system monitoring. Quantum key distribution can achieve unconditional secure key exchange, providing a reliable guarantee for the encrypted transmission of power system monitoring data and meeting the requirements of the high-security development of the power system.

[0003] The existing power system monitoring methods mainly include a data acquisition unit, a data transmission unit, a data processing unit, and a monitoring and display unit. Through the data acquisition unit, voltage and current data of each line are collected by sensors, etc., so as to realize the real-time monitoring of each line; through the data transmission unit, the collected data is encrypted and transmitted using quantum keys to ensure the security and integrity of the data during transmission; through the data processing unit, the encrypted and transmitted data is decrypted and analyzed to dig out potential line fault information and abnormal conditions, providing data support for the stable operation of the power system; through the monitoring and display unit, the staff can intuitively understand the operation status of each line, realize the remote monitoring and control of the line, and timely adjust the operation parameters of power equipment to improve the reliability and stability of the power system.

[0004] Currently, the reliability and stability of the power system are mainly evaluated based on the relevant data of each monitored line. The data dimensions involved in the evaluation are less, and there are problems such as the evaluation results being less objective and less accurate. Summary of the Invention

[0005] The present invention provides a power system monitoring method based on quantum key distribution, aiming to improve at least one of the above problems.

[0006] The present invention is implemented as follows. A power system monitoring method based on quantum key distribution is as follows:

[0007] (1) Collect the current power system operation data, where the power system operation data includes: the device operation data of all devices, the line operation data of all lines, the node power data of all nodes, the key generation data of the power system, and the key security data;

[0008] (2) Evaluate the current power system operation status based on the current power system operation data, where the power system operation status includes: the device health status, the line security status, the node power stability status, the key generation ability, and the anti-eavesdropping ability;

[0009] (3) Detect whether the power system is healthy based on the current operating state of the power system. If it is not healthy, issue relevant prompts.

[0010] In the embodiments of the present invention, the device operation data includes: the device operation temperature change rate Ne, the device vibration amplitude Tf, and the device electromagnetic radiation intensity Al; the line operation data includes: the line current change rate Qa, the line voltage fluctuation amplitude Cl, and the line insulation resistance value Pl; the power data of the node includes: the active power change rate Pf, the reactive power change rate Hc, and the apparent power fluctuation amplitude Pd; the key generation data includes: the key generation rate Ke and the key randomness evaluation value Kr; the key security data includes: the key confidentiality evaluation value Qv and the key update period Qt.

[0011] In the embodiments of the present invention, based on the currently collected device operation data, obtain the current device health coefficient of the corresponding device. The current device health coefficient of the kth device The calculation model is specifically as follows:

[0012]

[0013] where Ne ik represents the device operation temperature change rate collected for the i-th time of the kth device currently, Ne def represents the threshold value of the device operation temperature change rate, Tf ik represents the device vibration amplitude collected for the i-th time of the kth device currently, Tf def represents the threshold value of the device vibration amplitude, Al ik represents the device electromagnetic radiation intensity collected for the i-th time of the kth device currently, Al def represents the threshold value of the device electromagnetic radiation intensity.

[0014] In the embodiments of the present invention, based on the currently collected line operation data, obtain the current line safety coefficient of the corresponding line. The current line safety coefficient of the r-th line The calculation formula is specifically as follows:

[0015]

[0016] where Qa ir represents the line current change rate collected for the i-th time of the r-th line currently, I max represents the maximum allowable current of the line, t represents the duration of the line current change, I base represents the reference current of the line, Cl ir represents the line voltage fluctuation amplitude collected for the i-th time of the r-th line currently, V n represents the rated voltage, V maxRepresents the maximum allowable voltage of the line, V base Represents the reference voltage of the line, Pl ir Represents the line insulation resistance value collected for the r-th line at the i-th time currently, R ins Represents the safety threshold of the line insulation resistance.

[0017] In the embodiment of the present invention, based on the currently collected node power data, the current power stability coefficient of the corresponding node is obtained, and the current node power stability coefficient α of the s-th node is The specific calculation formula is as follows:

[0018]

[0019] Among them, Pf is Represents the active power change rate collected for the s-th node at the i-th time currently, Pf ref Represents the threshold of the active power change rate, Hc is Represents the reactive power change rate collected for the s-th node at the i-th time currently, Hc ref Represents the threshold of the reactive power change rate, Pd is Represents the apparent power fluctuation amplitude collected for the s-th node at the i-th time currently, Pd ref Represents the threshold of the apparent power fluctuation amplitude, P is Represents the active power collected for the s-th node at the i-th time currently, Q is Represents the reactive power collected for the s-th node at the i-th time currently, S is Represents the apparent power collected for the s-th node at the i-th time currently, P rat Represents the rated active power, Q rat Represents the rated reactive power, S rat Represents the rated apparent power.

[0020] It should be noted that the key generation ability coefficient γ of the power system j And the anti-eavesdropping ability coefficient χ j Need to be carried out during the monitoring system debugging, but does not affect the normal operation of the power system.

[0021] In the embodiment of the present invention, based on the key generation data, the current key generation ability coefficient of the power system is obtained, and the specific calculation formula of the current key generation ability coefficient γ of the power system is expressed as:

[0022]

[0023] Among them, Ke j Represents the current key generation rate, Ke max Represents the maximum key generation rate, and Kr represents the current key randomness evaluation value.

[0024] In an embodiment of the present invention, based on the key security data, the current anti-eavesdropping ability coefficient of the power system is obtained, and the calculation formula of the current anti-eavesdropping ability coefficient χ of the power system is specifically expressed as:

[0025]

[0026] where Qv represents the current key confidentiality evaluation value, Qt represents the current key update period, and Qt opt represents the key update period threshold.

[0027] In an embodiment of the present invention, when the device health coefficient is lower than the set device health coefficient threshold , a fault prompt for the kth device is issued; when the line safety coefficient is lower than the set line safety coefficient threshold , a prompt for the maintenance of the rth line is issued; when the node power stability coefficient α is is lower than the set power stability coefficient threshold α m , a prompt for the unstable power of the sth node is issued; when the key generation ability coefficient γ of the power system is lower than the set key generation ability coefficient threshold γ m , a prompt for low key generation ability is issued; when the anti-eavesdropping ability coefficient χ of the power system is lower than the set anti-eavesdropping ability coefficient threshold χ m , a prompt for low anti-eavesdropping ability is issued.

[0028] The present invention is implemented as follows. A power system monitoring system based on quantum key distribution, the system includes:

[0029] The first sensors provided on each device, and the first sensors are used to monitor the device operation data of the devices where they are located;

[0030] The second sensors provided on each line, and the second sensors are used to monitor the line operation data of the lines where they are located;

[0031] The third sensors provided on each node, and the third sensors are used to monitor the node power data of the nodes where they are located;

[0032] The key parameter input unit is used to input key generation data and key security data;

[0033] The host computer is connected to the first sensors, the second sensors, the third sensors and the key parameter input unit, and the host computer monitors the operation state of the power system based on the above-mentioned power system monitoring method based on quantum key distribution.

[0034] The present invention comprehensively monitors the operating state of the power system by collecting device data, line data, power data, key generation data, and key security data in multiple dimensions. Based on diversified data collection, the device health coefficient, line security coefficient, power stability coefficient of nodes, key generation ability coefficient of the power system, and anti-eavesdropping ability coefficient are calculated, facilitating the timely discovery of problems in the circuit system, taking corresponding measures in a timely manner, and ensuring the normal operation of the power system as much as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a flowchart of the power system monitoring method based on quantum key distribution provided by an embodiment of the present invention;

[0036] Figure 2 It is a schematic structural diagram of the power system monitoring system based on quantum key distribution provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] The following further details the specific embodiments of the present invention with reference to the drawings and descriptions of the embodiments to help those skilled in the art have a more complete, accurate, and in-depth understanding of the inventive concept and technical solution of the present invention.

[0038] Figure 1 It is a flowchart of the power system monitoring method based on quantum key distribution provided by an embodiment of the present invention, and the method specifically includes the following steps:

[0039] (1) Collect the current operating data of the power system, where the operating data of the power system includes: device operating data of all devices, line operating data of all lines, node power data of all nodes, key generation data of the power system, and key security data;

[0040] Among them, the device operating data includes: the device operating temperature change rate Ne, the device vibration amplitude Tf, and the device electromagnetic radiation intensity Al;

[0041] The line operating data includes: the line current change rate Qa, the line voltage fluctuation amplitude Cl, and the line insulation resistance value Pl;

[0042] The power data of the nodes includes: the active power change rate Pf, the reactive power change rate Hc, and the apparent power fluctuation amplitude Pd;

[0043] The key generation data includes: the key generation rate Ke and the key randomness evaluation value Kr;

[0044] The key security data includes: the key confidentiality evaluation value Qv and the key update period Qt.

[0045] (2) Evaluate the current operating state of the power system based on the current operating data of the power system. The operating state of the power system includes: equipment health status, line safety status, node power stability status, key generation ability, and anti-eavesdropping ability;

[0046] (21) Obtain the current equipment health coefficient of the corresponding equipment based on the currently collected equipment operating data. The larger the equipment health coefficient, the better the equipment health status.

[0047] In the embodiment of the present invention, the equipment health coefficient of the k-th equipment currently The calculation model is specifically as follows:

[0048]

[0049] Where Ne ik Represents the equipment operating temperature change rate collected for the i-th time of the k-th equipment currently, Ne def Represents the threshold of the equipment operating temperature change rate, Tf ik Represents the equipment vibration amplitude collected for the i-th time of the k-th equipment currently, Tf def Represents the threshold of the equipment vibration amplitude, Al ik Represents the equipment electromagnetic radiation intensity collected for the i-th time of the k-th equipment currently, Al def Represents the threshold of the equipment electromagnetic radiation intensity.

[0050] (22) Obtain the current line safety coefficient of the corresponding line based on the currently collected line operating data. The higher the line safety coefficient, the better the line safety status.

[0051] In the embodiment of the present invention, the line safety coefficient of the r-th line currently The calculation formula is specifically as follows:

[0052]

[0053] Where Qa ir Represents the line current change rate collected for the i-th time of the r-th line currently, I max Represents the maximum allowable current of the line, t represents the duration of the line current change, I base Represents the reference current of the line, Cl ir Represents the line voltage fluctuation amplitude collected for the i-th time of the r-th line currently, V n Represents the rated voltage, V max Represents the maximum allowable voltage of the line, V base Represents the reference voltage of the line, Pl ir Represents the line insulation resistance value collected for the i-th time of the r-th line currently, R ins Represents the insulation resistance safety threshold of the line.

[0054] (23) Obtain the current power stability coefficient of the corresponding node based on the currently collected node power data. The higher the power stability coefficient, the better the node power stability state of the corresponding node.

[0055] In the embodiment of the present invention, the node power stability coefficient α of the s-th node currently is The specific calculation formula is as follows:

[0056]

[0057] Among them, Pf is represents the active power change rate of the i-th collection of the s-th node currently, Pf ref represents the threshold of the active power change rate, Hc is represents the reactive power change rate of the i-th collection of the s-th node currently, Hc ref represents the threshold of the reactive power change rate, Pd is represents the apparent power fluctuation amplitude of the i-th collection of the s-th node currently, Pd ref represents the threshold of the apparent power fluctuation amplitude, P is represents the active power of the i-th collection of the s-th node currently, Q is represents the reactive power of the i-th collection of the s-th node currently, S is represents the apparent power of the i-th collection of the s-th node currently, P rat represents the rated active power, Q rat represents the rated reactive power, S rat represents the rated apparent power.

[0058] It should be noted that the key generation ability coefficient γ of the power system j and the anti-eavesdropping ability coefficient χ j need to be carried out during the debugging of the monitoring system, but do not affect the normal operation of the power system.

[0059] (24) Obtain the current key generation ability coefficient of the power system based on the key generation data. The larger the key generation ability coefficient, the better the current key generation ability of the power system. The specific calculation formula of the current key generation ability coefficient γ of the power system is expressed as:

[0060]

[0061] Among them, Ke represents the current key generation rate, Ke max represents the maximum key generation rate, Kr represents the current key randomness evaluation value, and the key randomness evaluation value is determined according to the method of passing the random test.

[0062] (25) Obtain the current anti-eavesdropping ability coefficient of the power system based on the key security data. The larger the anti-eavesdropping ability coefficient, the better the current anti-eavesdropping ability of the power system. The specific calculation formula of the current anti-eavesdropping ability coefficient χ of the power system is as follows:

[0063]

[0064] Where Qv represents the current key confidentiality evaluation value, and the key confidentiality evaluation value is determined based on the complexity of the key itself. The more complex the key, the larger the key confidentiality evaluation value. Qt represents the current key update period, and Qt opt represents the key update period threshold.

[0065] (3) Detect whether the power system is healthy based on the current operating state of the power system. If it is not healthy, issue relevant prompts.

[0066] In the embodiment of the present invention, when the device health coefficient is lower than the set device health coefficient threshold , a fault prompt for the kth device is issued. When the line safety coefficient is lower than the set line safety coefficient threshold , a prompt for the maintenance of the rth line is issued; when the node power stability coefficient α is is lower than the set power stability coefficient threshold α m , a prompt for the unstable power of the sth node is issued; when the key generation ability coefficient γ of the power system is lower than the set key generation ability coefficient threshold γ m , a prompt for low key generation ability is issued; when the anti-eavesdropping ability coefficient χ of the power system is lower than the set anti-eavesdropping ability coefficient threshold χ m , a prompt for low anti-eavesdropping ability is issued.

[0067] Figure 2 FIG. is a schematic structural diagram of a power system monitoring system based on quantum key distribution provided by an embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown. The system includes:

[0068] The first sensors are arranged on each device, and the first sensors are used to monitor the device operation data of the device where they are located; the devices here include: transformers, distribution transformers, distribution cabinets, etc.;

[0069] The second sensors are arranged on each line, and the second sensors are used to monitor the line operation data of the line where they are located;

[0070] The third sensors are arranged on each node, and the third sensors are used to monitor the node power data of the node where they are located. The nodes include: substations, distribution substations, switch stations, etc.

[0071] A key parameter input unit for inputting key generation data and key security data;

[0072] A host computer connected to the first sensor, the second sensor, the third sensor, and the key parameter input unit, and an output unit connected to the host computer. The host computer monitors the operating state of the power system based on the above-mentioned power system monitoring method based on quantum key distribution, and outputs the operating state through the display unit.

[0073] The present invention comprehensively monitors the operating state of the power system based on diversified data collection by collecting device data, line data, power data, key generation data, and key security data in multiple dimensions, and then calculates the device health coefficient, line security coefficient, power stability coefficient of nodes, key generation ability coefficient of the power system, and anti-eavesdropping ability coefficient, which is convenient for timely discovering problems existing in the power system, taking corresponding measures in time, and ensuring the normal operation of the power system as much as possible.

[0074] The present invention has been described exemplarily. Obviously, the specific implementation of the present invention is not limited by the above-mentioned manner. As long as various non-substantive improvements are made by adopting the method concept and technical solution of the present invention, or the concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A power system monitoring method based on quantum key distribution, characterized in that: The method is specifically as follows: (1) Collecting the current power system operation data, including: equipment operation data of all equipment, line operation data of all lines, node power data of all nodes, key generation data and key security data of the power system; (2) Evaluate the current power system operation status based on the current power system operation data. The power system operation status includes: equipment health status, line safety status, node power stability status, key generation capability and anti-eavesdropping capability; (3) Detect whether the power system is healthy based on the current power system operating status. If it is unhealthy, issue relevant prompts.

2. The power system monitoring method based on quantum key distribution as claimed in claim 1, characterized in that: Equipment operation data include: equipment operating temperature change rate Ne, equipment vibration amplitude Tf and equipment electromagnetic radiation intensity Al; line operation data include: line current change rate Qa, line voltage fluctuation amplitude Cl and line insulation resistance value Pl; node power data include: active power change rate Pf, reactive power change rate Hc and apparent power fluctuation amplitude Pd; key generation data include: key generation rate Ke and key randomness evaluation value Kr; key security data include: key confidentiality evaluation value Qv and key update period Qt.

3. The power system monitoring method based on quantum key distribution as claimed in claim 1, characterized in that: Based on the currently collected equipment operation data, the current equipment health coefficient of the corresponding equipment is obtained. The current equipment health coefficient of the kth equipment The calculation model is as follows: Among them, Ne ik Ne represents the rate of change of the device operating temperature collected for the i-th time by the k-th device. def Indicates the threshold value of the device operating temperature change rate, Tf ik Indicates the vibration amplitude of the kth device currently collected for the i-th time, Tf def Indicates the threshold of the vibration amplitude of the device, Al ik Indicates the electromagnetic radiation intensity of the kth device currently collected for the i-th time, Al def Indicates the threshold of the electromagnetic radiation intensity of the device.

4. The power system monitoring method based on quantum key distribution according to claim 1, characterized in that: Based on the currently collected line operation data, the current line safety factor of the corresponding line is obtained. The current line safety factor of the rth line The calculation formula is as follows: Among them, Qa ir It represents the current change rate of the line collected for the i-th time in the r-th line, I max It indicates the maximum current allowed by the line, t indicates the duration of the line current change, I base Indicates the reference current of the line, Cl ir represents the voltage fluctuation amplitude of the rth line collected for the i-th time, V n Indicates rated voltage, V max Indicates the maximum voltage allowed by the line, V base Indicates the reference voltage of the line, Pl ir Indicates the insulation resistance value of the rth line collected for the i-th time, R ins Indicates the insulation resistance safety threshold of the line.

5. The power system monitoring method based on quantum key distribution as claimed in claim 1, characterized in that: Based on the currently collected node power data, the current power stability coefficient of the corresponding node is obtained. The current node power stability coefficient α of the sth node is The calculation formula is as follows: Among them, Pf is Indicates the active power change rate of the sth node currently collected for the i-th time, Pf ref Indicates the threshold value of the active power change rate, Hc is Indicates the reactive power change rate of the sth node currently collected for the i-th time, Hc ref Represents the threshold value of reactive power change rate, Pd is Pd represents the apparent power fluctuation amplitude of the sth node collected for the i-th time. ref Indicates the threshold value of apparent power fluctuation amplitude, P is represents the active power collected by the sth node for the i-th time, Q is represents the reactive power collected by the sth node for the i-th time, S is represents the apparent power collected by the sth node for the i-th time, P rat Indicates the rated active power, Q rat Indicates the rated reactive power, S rat Indicates the rated apparent power. It should be noted that the key generation capability coefficient γ of the power system j And the anti-eavesdropping ability coefficient χ j It needs to be carried out during the debugging of the monitoring system, but it will not affect the normal operation of the power system.

6. The power system monitoring method based on quantum key distribution as claimed in claim 1, characterized in that: The current key generation capability coefficient of the power system is obtained based on the key generation data. The calculation formula of the current key generation capability coefficient γ of the power system is specifically expressed as: Among them, Ke j Indicates the current key generation rate, Ke max represents the maximum key generation rate, and Kr represents the current key randomness evaluation value.

7. The power system monitoring method based on quantum key distribution according to claim 1, characterized in that: The current anti-eavesdropping capability coefficient of the power system is obtained based on the key security data. The calculation formula of the current anti-eavesdropping capability coefficient χ of the power system is specifically expressed as: Where Qv represents the current key confidentiality evaluation value, Qt represents the current key update cycle, and Qt opt Indicates the key update period threshold.

8. The power system monitoring method based on quantum key distribution as claimed in claim 1, characterized in that: Equipment health factor The equipment health factor is lower than the set threshold When , a fault prompt of the kth device is issued; Safety factor on the line Below the set line safety factor threshold When , a reminder for the maintenance of the rth line is issued; At the node power stability factor α is Lower than the set power stability factor threshold α m When the key generation capability coefficient γ of the power system is lower than the set key generation capability coefficient threshold γ m When the key generation capability is low, a prompt is issued; When the anti-eavesdropping capability coefficient χ of the power system is lower than the set anti-eavesdropping capability coefficient threshold χ m When the device is connected to a network, a low anti-eavesdropping capability prompt is issued.

9. A power system monitoring system based on quantum key distribution, characterized in that: The system comprises: A first sensor provided at each device, the first sensor is used to monitor the device operation data of the device; a second sensor provided at each line, the second sensor is used to monitor the line operation data of the line; a third sensor provided at each node, the third sensor is used to monitor the node power data of the node; a key parameter input unit, used to input key generation data and key security data; A host computer connected to the first sensor, the second sensor, the third sensor and the key parameter entry unit, and an output unit connected to the host computer. The host computer monitors the operating status of the power system based on the power system monitoring method based on quantum key distribution as described in any one of claims 1 to 8, and outputs the operating status through a display unit.

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