Method and system for evaluating elasticity of power system

Abstract

The invention discloses a method and system for evaluating the elasticity of an electric power system, and relates to the technical field of monitoring analysis, and the system comprises a data collection module which is used for collecting basic data and operation data corresponding to each piece of electric power equipment in the electric power system in real time; the analysis module is used for performing analysis processing on the basic data and the operation data corresponding to each power device in the power system, performing elastic analysis on each power device of the power system based on an analysis processing result, and further making an early warning management strategy based on an elastic analysis result; the early warning module is used for executing an early warning management strategy and outputting an alarm signal to each power device of the power system; and the notification module is used for outputting notification information to a manager corresponding to the power system. The method has the effect of improving the elastic analysis accuracy of the power system.

Description

Technical Field

[0001] The present application relates to the field of monitoring and analysis technology, and in particular to a method and system for evaluating the resilience of a power system. Background Art

[0002] The power system is the key to supporting my country's energy strategic transformation. On the one hand, the power system promotes the consumption of renewable energy, which is of great significance to the construction of a clean and low-carbon energy system. On the other hand, the safe and stable operation of the power system is an important guarantee for building a safe and efficient energy system. my country's power system is developing rapidly, with the world's largest, longest transmission distance, highest voltage level, and most complex grid structure. Extreme natural disasters and man-made attacks may cause large-scale and long-term power outages, causing huge losses to national security and the national economy.

[0003] In the related technology, the current power system resilience assessment method does not analyze the status of power equipment in the power system from multiple angles, thereby reducing the accuracy of the power system resilience assessment, and there is room for improvement. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present application provides a method and system for evaluating the resilience of a power system.

[0005] In a first aspect, the present application provides a system for evaluating the resilience of a power system, which adopts the following technical solution:

[0006] A system for assessing the resilience of an electric power system, comprising:

[0007] Data acquisition module, used to collect basic data and operation data corresponding to each power equipment in the power system in real time;

[0008] The analysis module is used to analyze and process the basic data and operation data corresponding to each power device in the power system, and to perform elasticity analysis on each power device in the power system based on the results of the analysis and processing, and then formulate an early warning management strategy based on the results of the elasticity analysis;

[0009] An early warning module is used to execute the early warning management strategy and output an alarm signal to each power device in the power system;

[0010] The notification module is used to output notification information to the corresponding management personnel of the power system.

[0011] Preferably, the basic data corresponding to each power device in the power system includes type data, working time data and marking data corresponding to each power device, and the operating data includes voltage fluctuation data and recovery time data.

[0012] Preferably, the basic data and operation data corresponding to the power system are analyzed and processed, specifically including:

[0013] The risk value of the safety risk of the power system is evaluated, and the evaluation process is as follows:

[0014] By formula Confirm the risk value R of the power system safety risk;

[0015] Wherein, i represents the number corresponding to each power equipment in the power system, i=1,2,3...j, αi-type represents the type coefficient corresponding to the power equipment numbered i, Ti and Ti′ represent the working time and reference working time corresponding to the power equipment numbered i, ni represents the number of markings corresponding to the power equipment numbered i, ki represents the equipment influence coefficient corresponding to the power equipment numbered i, and e is a natural constant;

[0016] Compare the risk value R of the power system safety risk with the preset risk threshold R′;

[0017] If the risk value of the power system security risk R≤R′, there is no need to perform elastic analysis on the power system;

[0018] If the risk value R>R′ of the safety risk in the power system, it is necessary to conduct a resilience analysis on the power system.

[0019] Preferably, the process of performing elasticity analysis on the power system specifically includes:

[0020] Obtain disturbance information corresponding to the power system, extract the number of disturbances corresponding to the power system from the disturbance information, and extract voltage fluctuation data and recovery time data corresponding to each disturbance from a cloud database;

[0021] The voltage fluctuation data Vn and recovery time data Tn corresponding to each disturbance are analyzed, and the formula Determine the elasticity score P corresponding to the power system;

[0022] Wherein, n represents the number corresponding to each disturbance, n=1,2,3...m, V′, T′ represent the preset reference voltage fluctuation, the preset reference recovery time, ω1, ω2 represent the weight coefficients;

[0023] Compare the elasticity score value P corresponding to the power system with the preset elasticity score threshold value P′;

[0024] If the corresponding resilience score value of the power system is P≤P′, there is no need to formulate an early warning management strategy;

[0025] If the elasticity score value P>P′ corresponding to the power system, it is necessary to formulate an early warning management strategy for the power system.

[0026] Preferably, the process of formulating an early warning management strategy for the power system specifically includes:

[0027] The comprehensive evaluation value K corresponding to the power system is determined by the formula K=(RR′)*μ1+(PP′)*μ2, where μ1 and μ2 represent preset weight coefficients respectively;

[0028] Compare the comprehensive evaluation value K corresponding to the power system with the preset comprehensive evaluation threshold K′;

[0029] If the comprehensive evaluation value K ≤ K′ corresponding to the power system, output a warning signal to the power system;

[0030] If the comprehensive evaluation value K>K′ corresponding to the power system, a warning signal is output to the power system and a notification message is sent to the management personnel through the notification module.

[0031] Preferably, the process of obtaining the marking times corresponding to the electric power equipment specifically includes:

[0032] In a preset time window, the real-time temperature value corresponding to the operation of the power equipment is obtained to form a time series, and the real-time temperature value is represented by a function S(t) according to the time series;

[0033] By formula The temperature variation coefficient φ corresponding to the operation of the electric equipment is calculated, wherein s(t) represents the preset standard temperature variation curve corresponding to the operation of the electric equipment, and Sstandard represents the standard temperature value corresponding to the operation of the electric equipment;

[0034] Compare the temperature change coefficient φ corresponding to the operation of the power equipment with the preset temperature change threshold [φ1, φ2];

[0035] If the temperature variation coefficient φ<φ1 corresponding to the operation of the power equipment, there is no need to mark the power equipment;

[0036] If the temperature variation coefficient φ corresponding to the operation of the power equipment is between [φ1, φ2], the power equipment is marked once;

[0037] If the temperature variation coefficient φ>φ2 corresponding to the operation of the electric equipment, it is necessary to output notification information to the management personnel through the notification module and replace the electric equipment.

[0038] Preferably, the process of obtaining the equipment influence coefficient corresponding to the power equipment specifically includes:

[0039] Construct the topological structure information corresponding to the power system, and then confirm the distance influence coefficient Di from each power device to the key node, the node importance evaluation coefficient Ni corresponding to each power device in the topological structure information, and the proximity evaluation coefficient Li from each power device to the load center based on the topological structure information corresponding to the power system;

[0040] The equipment influence coefficient ki corresponding to each power equipment is confirmed by the formula ki=Di*c1+Ni*c2+Li*c3, where c1, c2, and c3 represent weight coefficients respectively.

[0041] In a second aspect, the present application provides a method for evaluating the resilience of a power system, using the following technical solution:

[0042] A method for assessing the resilience of a power system comprises the following steps:

[0043] Real-time collection of basic data and operating data corresponding to each power equipment in the power system;

[0044] Analyze and process the basic data and operation data corresponding to each power equipment in the power system, and conduct elasticity analysis on each power equipment in the power system based on the results of the analysis and processing, and then formulate early warning management strategies based on the results of the elasticity analysis;

[0045] Execute the early warning management strategy and output alarm signals to various power equipment in the power system;

[0046] Output notification information to corresponding management personnel of the power system.

[0047] In a third aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute any one of the above-described systems for evaluating the resilience of a power system.

[0048] In summary, this application includes the following beneficial technical effects:

[0049] The present invention provides a system for evaluating the resilience of an electric power system. The system collects and analyzes type data, operating time data, marking data, voltage fluctuation data, and recovery time data corresponding to each electric power equipment in the electric power system. Based on the results of the analysis and processing, a resilience analysis is performed on each electric power equipment in the electric power system. A comprehensive assessment value corresponding to the electric power system is confirmed. The comprehensive assessment value corresponding to the electric power system is compared with a preset comprehensive assessment threshold. An early warning management strategy is formulated based on the comparison result. The situation of the electric power equipment in the electric power system is analyzed from multiple angles, thereby effectively improving the accuracy of the resilience assessment of the electric power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1It is a schematic diagram of a system for evaluating the resilience of a power system according to an embodiment of the present application.

[0051] Figure 2 It is a flow chart of a method for evaluating the resilience of a power system according to an embodiment of the present application. DETAILED DESCRIPTION

[0052] The following is combined with Figure 1-2 This application is described in further detail.

[0053] Example 1

[0054] An embodiment of the present application discloses a system for evaluating the resilience of a power system.

[0055] Reference Figure 1 , a system for assessing the resilience of an electric power system, comprising:

[0056] Data acquisition module, used to collect basic data and operation data corresponding to each power equipment in the power system in real time;

[0057] The analysis module is used to analyze and process the basic data and operation data corresponding to each power device in the power system, and to perform elasticity analysis on each power device in the power system based on the results of the analysis and processing, and then formulate an early warning management strategy based on the results of the elasticity analysis;

[0058] An early warning module is used to execute the early warning management strategy and output an alarm signal to each power device in the power system;

[0059] The notification module is used to output notification information to the corresponding management personnel of the power system.

[0060] Furthermore, the basic data corresponding to each power device in the power system includes type data, working time data and marking data corresponding to each power device, and the operating data includes voltage fluctuation data and recovery time data.

[0061] It should be noted that the analysis and processing of the basic data and operation data corresponding to the power system specifically includes:

[0062] The risk value of the safety risk of the power system is evaluated, and the evaluation process is as follows:

[0063] By formula Confirm the risk value R of the power system safety risk;

[0064] Wherein, i represents the number corresponding to each power equipment in the power system, i=1,2,3...j, αi-type represents the type coefficient corresponding to the power equipment numbered i, Ti and Ti′ represent the working time and reference working time corresponding to the power equipment numbered i, ni represents the number of markings corresponding to the power equipment numbered i, ki represents the equipment influence coefficient corresponding to the power equipment numbered i, and e is a natural constant;

[0065] Compare the risk value R of the power system safety risk with the preset risk threshold R′;

[0066] If the risk value of the power system security risk R≤R′, there is no need to perform elastic analysis on the power system;

[0067] If the risk value R>R′ of the safety risk in the power system, it is necessary to conduct a resilience analysis on the power system.

[0068] Specifically, by comprehensively considering the type coefficient, working hours, reference working hours, marking times and equipment impact coefficient of the power equipment to determine the safety risk value of the power system, a more comprehensive and accurate risk assessment can be provided. The above process can effectively estimate the risks of the power system, optimize the maintenance plan, prevent failures in advance, thereby improving the stability and reliability of the system and reducing the possibility of unexpected power outages.

[0069] It should be noted that the process of performing elastic analysis on the power system specifically includes:

[0070] Obtain disturbance information corresponding to the power system, extract the number of disturbances corresponding to the power system from the disturbance information, and extract voltage fluctuation data and recovery time data corresponding to each disturbance from a cloud database;

[0071] The voltage fluctuation data Vn and recovery time data Tn corresponding to each disturbance are analyzed, and the formula Determine the elasticity score P corresponding to the power system;

[0072] Wherein, n represents the number corresponding to each disturbance, n=1,2,3...m, V′, T′ represent the preset reference voltage fluctuation, the preset reference recovery time, ω1, ω2 represent the weight coefficients;

[0073] Compare the elasticity score value P corresponding to the power system with the preset elasticity score threshold value P′;

[0074] If the corresponding resilience score value of the power system is P≤P′, there is no need to formulate an early warning management strategy;

[0075] If the elasticity score value P>P′ corresponding to the power system, it is necessary to formulate an early warning management strategy for the power system.

[0076] Specifically, by analyzing the voltage fluctuation data and recovery time of each disturbance to confirm the resilience score of the power system, the understanding and management of the system's resilience can be significantly improved. First, this method can quantify the system's response capability in the face of different disturbances and provide an objective resilience evaluation standard. The voltage fluctuation data reveals the stability of the system at the moment of the disturbance, while the recovery time reflects the efficiency of the system's recovery to normal operation. Combining these two data, the resilience score can help identify the weak links in the system and guide the formulation of targeted improvement measures. In addition, the above scoring system can provide data support for long-term planning and investment decisions, ensuring that resources are used to improve the most needed parts of the system. Through continuous monitoring and evaluation, strategies can be adjusted dynamically, system configuration can be optimized, and the ability to respond to emergencies can be enhanced, ultimately improving power supply reliability and user satisfaction.

[0077] Furthermore, the process of formulating an early warning management strategy for the power system specifically includes:

[0078] The comprehensive evaluation value K corresponding to the power system is determined by the formula K=(RR′)*μ1+(PP′)*μ2, where μ1 and μ2 represent preset weight coefficients respectively;

[0079] Compare the comprehensive evaluation value K corresponding to the power system with the preset comprehensive evaluation threshold K′;

[0080] If the comprehensive evaluation value K ≤ K′ corresponding to the power system, output a warning signal to the power system;

[0081] If the comprehensive evaluation value K>K′ corresponding to the power system, a warning signal is output to the power system and a notification message is sent to the management personnel through the notification module.

[0082] It should be noted that the process of obtaining the marking times corresponding to the power equipment specifically includes:

[0083] In a preset time window, the real-time temperature value corresponding to the operation of the power equipment is obtained to form a time series, and the real-time temperature value is represented by a function S(t) according to the time series;

[0084] By formula The temperature variation coefficient φ corresponding to the operation of the electric equipment is calculated, wherein s(t) represents the preset standard temperature variation curve corresponding to the operation of the electric equipment, and Sstandard represents the standard temperature value corresponding to the operation of the electric equipment;

[0085] Compare the temperature change coefficient φ corresponding to the operation of the power equipment with the preset temperature change threshold [φ1, φ2];

[0086] If the temperature variation coefficient φ<φ1 corresponding to the operation of the power equipment, there is no need to mark the power equipment;

[0087] If the temperature variation coefficient φ corresponding to the operation of the power equipment is between [φ1, φ2], the power equipment is marked once;

[0088] If the temperature variation coefficient φ>φ2 corresponding to the operation of the electric equipment, it is necessary to output notification information to the management personnel through the notification module and replace the electric equipment.

[0089] Furthermore, the process of obtaining the equipment influence coefficient corresponding to the power equipment specifically includes:

[0090] Construct the topological structure information corresponding to the power system, and then confirm the distance influence coefficient Di from each power device to the key node, the node importance evaluation coefficient Ni corresponding to each power device in the topological structure information, and the proximity evaluation coefficient Li from each power device to the load center based on the topological structure information corresponding to the power system;

[0091] The equipment influence coefficient ki corresponding to each power equipment is confirmed by the formula ki=Di*c1+Ni*c2+Li*c3, where c1, c2, and c3 represent weight coefficients respectively.

[0092] Specifically, the distance influence coefficient of each power device to the key node is set by the distance from each power device to the key node. In the embodiment of the present application, the key node includes but is not limited to a substation or a power plant. The node importance assessment coefficient corresponding to each power device in the topology structure information is set by the corresponding importance of each power device in the topology structure information, that is, the more important the equipment, the larger the node importance assessment coefficient, and the proximity assessment coefficient of each power device to the load center is set by the proximity between each power device and the load center.

[0093] Example 2

[0094] The embodiment of the present application also discloses a method for evaluating the resilience of a power system.

[0095] Reference Figure 2 , a method for evaluating the resilience of a power system, comprising the following steps:

[0096] Real-time collection of basic data and operating data corresponding to each power equipment in the power system;

[0097] Analyze and process the basic data and operation data corresponding to each power equipment in the power system, and conduct elasticity analysis on each power equipment in the power system based on the results of the analysis and processing, and then formulate early warning management strategies based on the results of the elasticity analysis;

[0098] Execute the early warning management strategy and output alarm signals to various power equipment in the power system;

[0099] Output notification information to corresponding management personnel of the power system.

Claims

1. A system for evaluating the resilience of a power system, characterized in that: include: Data acquisition module, used to collect basic data and operation data corresponding to each power equipment in the power system in real time; The analysis module is used to analyze and process the basic data and operation data corresponding to each power device in the power system, and to perform elasticity analysis on each power device in the power system based on the results of the analysis and processing, and then formulate an early warning management strategy based on the results of the elasticity analysis; An early warning module is used to execute the early warning management strategy and output an alarm signal to each power device in the power system; The notification module is used to output notification information to the corresponding management personnel of the power system.

2. A system for evaluating the resilience of a power system according to claim 1, characterized in that: The basic data corresponding to each power device in the power system includes type data, working time data and marking data corresponding to each power device, and the operating data includes voltage fluctuation data and recovery time data.

3. A system for evaluating the resilience of a power system according to claim 2, characterized in that: Analyze and process the basic data and operation data corresponding to the power system, including: The risk value of the safety risk of the power system is evaluated, and the evaluation process is as follows: By formula Confirm the risk value R of the power system safety risk; Wherein, i represents the number corresponding to each power equipment in the power system, i=1,2,3...j, αi-type represents the type coefficient corresponding to the power equipment numbered i, Ti and Ti′ represent the working time and reference working time corresponding to the power equipment numbered i, ni represents the number of markings corresponding to the power equipment numbered i, ki represents the equipment influence coefficient corresponding to the power equipment numbered i, and e is a natural constant; Compare the risk value R of the power system safety risk with the preset risk threshold R′; If the risk value of the power system security risk R≤R′, there is no need to perform elastic analysis on the power system; If the risk value R>R′ of the safety risk in the power system, it is necessary to conduct a resilience analysis on the power system.

4. A system for evaluating the resilience of a power system according to claim 3, characterized in that: The process of performing elasticity analysis on the power system specifically includes: Obtain disturbance information corresponding to the power system, extract the number of disturbances corresponding to the power system from the disturbance information, and extract voltage fluctuation data and recovery time data corresponding to each disturbance from a cloud database; The voltage fluctuation data Vn and recovery time data Tn corresponding to each disturbance are analyzed, and the formula Determine the elasticity score P corresponding to the power system; Wherein, n represents the number corresponding to each disturbance, n=1,2,3...m, V′, T′ represent the preset reference voltage fluctuation, the preset reference recovery time, ω1, ω2 represent the weight coefficients; Compare the elasticity score value P corresponding to the power system with the preset elasticity score threshold value P′; If the corresponding resilience score value of the power system is P≤P′, there is no need to formulate an early warning management strategy; If the elasticity score value P>P′ corresponding to the power system, it is necessary to formulate an early warning management strategy for the power system.

5. A system for evaluating the resilience of a power system according to claim 4, characterized in that: The process of formulating an early warning management strategy for the power system specifically includes: The comprehensive evaluation value K corresponding to the power system is determined by the formula K=(RR′)*μ1+(PP′)*μ2, where μ1 and μ2 represent preset weight coefficients respectively; Compare the comprehensive evaluation value K corresponding to the power system with the preset comprehensive evaluation threshold K′; If the comprehensive evaluation value K ≤ K′ corresponding to the power system, output a warning signal to the power system; If the comprehensive evaluation value K>K′ corresponding to the power system, a warning signal is output to the power system and a notification message is sent to the management personnel through the notification module.

6. A system for evaluating the resilience of a power system according to claim 3, characterized in that: The process of obtaining the marking times corresponding to the power equipment specifically includes: In a preset time window, the real-time temperature value corresponding to the operation of the power equipment is obtained to form a time series, and the real-time temperature value is represented by a function S(t) according to the time series; By formula The temperature variation coefficient φ corresponding to the operation of the electric equipment is calculated, wherein s(t) represents the preset standard temperature variation curve corresponding to the operation of the electric equipment, and Sstandard represents the standard temperature value corresponding to the operation of the electric equipment; Compare the temperature change coefficient φ corresponding to the operation of the power equipment with the preset temperature change threshold [φ1, φ2]; If the temperature variation coefficient φ<φ1 corresponding to the operation of the power equipment, there is no need to mark the power equipment; If the temperature variation coefficient φ corresponding to the operation of the power equipment is between [φ1, φ2], the power equipment is marked once; If the temperature variation coefficient φ>φ2 corresponding to the operation of the electric equipment, it is necessary to output notification information to the management personnel through the notification module and replace the electric equipment.

7. A system for evaluating power system resilience according to claim 3, characterized in that: The process of obtaining the equipment influence coefficient corresponding to the power equipment specifically includes: Construct the topological structure information corresponding to the power system, and then confirm the distance influence coefficient Di from each power device to the key node, the node importance evaluation coefficient Ni corresponding to each power device in the topological structure information, and the proximity evaluation coefficient Li from each power device to the load center based on the topological structure information corresponding to the power system; The equipment influence coefficient ki corresponding to each power equipment is confirmed by the formula ki=Di*c1+Ni*c2+Li*c3, where c1, c2, and c3 represent weight coefficients respectively.

8. A method for evaluating the resilience of a power system, applied to a system for evaluating the resilience of a power system as described in any one of claims 1 to 7, characterized in that: The following steps are involved: Real-time collection of basic data and operating data corresponding to each power equipment in the power system; Analyze and process the basic data and operation data corresponding to each power equipment in the power system, and conduct elasticity analysis on each power equipment in the power system based on the results of the analysis and processing, and then formulate early warning management strategies based on the results of the elasticity analysis; Execute the early warning management strategy and output alarm signals to various power equipment in the power system; Output notification information to corresponding management personnel of the power system.

9. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute a system for evaluating the resilience of a power system as claimed in any one of claims 1 to 7.

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