Intelligent operation and maintenance monitoring method, system and equipment for wind power plant group and medium

Abstract

The invention discloses an intelligent operation and maintenance monitoring method, system and equipment for a wind power plant group, and a medium. The intelligent operation and maintenance monitoring method for the wind power plant group comprises the following steps: acquiring wind power plant operation and power grid operation parameters; judging the operation maintenance state of the wind power plant according to the wind power plant operation and power grid operation parameters, and calculating the power loss; and according to the operation and maintenance state and the lost electric quantity, determining a unit needing operation and maintenance, and providing operation and maintenance auxiliary decision suggestions for maintainers. According to operation parameters of a wind power plant and a power grid, a wind power plant group intelligent operation and maintenance monitoring algorithm is adopted to calculate the operation and maintenance state and the lost electric quantity of the wind power plant; according to different results calculated by the intelligent operation and maintenance monitoring algorithm software of the wind power plant group, unit information, operation and maintenance measures and operation and maintenance auxiliary decision suggestions capable of carrying out operation and maintenance work are provided for operation and maintenance personnel of the wind power plant, and the operation and maintenance efficiency and the economic operation level of the wind power plant are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent operation and maintenance technology for new energy stations, and in particular to a method, system, equipment and medium for intelligent operation and maintenance monitoring of a wind farm group. Background Art

[0002] Traditional wind turbine operation and maintenance is based on "human inspection as the main method, machine inspection as the auxiliary method", and all kinds of equipment in wind farms are maintained and repaired mainly through manual scheduled inspection and inspection. It is inefficient, slow to respond, and has a small coverage area. Usually, each wind farm must be equipped with operation and maintenance personnel. In recent years, with the large-scale growth of wind turbine installed capacity, the number of wind farms of new energy enterprises will increase rapidly in the future. At the same time, due to the characteristics of wind farms, such as the large number of wind farms, remote geographical locations, and diverse equipment brands, the operation and maintenance workload is increasing, and more and more operation and maintenance personnel are needed. Operation and maintenance personnel often rely on their own experience to judge the operating status of equipment, especially faults. Most of them shut down the wind turbine for processing after a fault occurs. The waiting time for spare parts and arrival at the maintenance site is often long, resulting in a large loss of electricity in the wind farm group and reducing the economic benefits of new energy enterprises.

[0003] Currently, wind farm assessments are mostly based on actual power generation, power restrictions, etc., which makes it difficult to provide wind farm operation and maintenance personnel with practical operation and maintenance decision-making assistance and effective guidance. Summary of the invention

[0004] Purpose of the invention: The present invention aims to provide a wind farm group intelligent operation and maintenance monitoring method that can accurately calculate the power loss of new energy stations, provide auxiliary decision-making for operation and maintenance personnel to formulate power restriction measures and operation and maintenance strategies, and improve the operation and maintenance efficiency and economic operation level of wind farms; the present invention also provides another wind farm group intelligent operation and maintenance monitoring system, equipment and medium.

[0005] Technical solution: The wind farm group intelligent operation and maintenance monitoring method of the present invention comprises the following steps:

[0006] Collect wind farm and power grid operation parameters;

[0007] According to the wind farm operation and grid operation parameters, determine the operation and maintenance status of the wind farm and calculate the power loss;

[0008] Based on the operation and maintenance status and power loss, the units that need operation and maintenance are determined, and auxiliary operation and maintenance decision-making suggestions are provided to maintenance personnel.

[0009] Furthermore, the wind farm operating parameters include the wind farm rated power, the wind farm output power, the current wind speed, the rated wind speed and the power restriction coefficient; the grid operating parameters include the power system load and the grid operating capacity.

[0010] Furthermore, the operation and maintenance status of the wind farm includes operation and maintenance of all wind turbines in the farm, no operation and maintenance of all wind turbines in the farm and no loss of electricity, no operation and maintenance of all wind turbines in the farm and loss of electricity is calculated, and operation and maintenance of some units and loss of electricity is calculated.

[0011] Furthermore, when the wind speed of the wind farm is less than the cut-in wind speed of the wind turbine or the load of the power system is not less than the operating capacity of the grid, the operation and maintenance status of the wind farm is the operation and maintenance of all wind turbines in the field, and the operation and maintenance work of all wind turbines in the field is carried out; when the wind speed of the wind farm is less than the cut-in wind speed of the wind turbine, the loss of electricity is not counted; when the load of the power system is not less than the operating capacity of the grid, the loss of electricity E loss for

[0012]

[0013] Among them, P sys is the grid operation capacity, P load_i is the sampling sequence of the power system load, P farm_curve_i is the sampling sequence of wind farm power curve, T i is the wind farm power sampling time series, and M is the number of wind farm power sampling times per day.

[0014] Furthermore, when the load of the power system is less than the operating capacity of the grid, and the wind speed of the wind farm is greater than the cut-in wind speed of the wind turbine, and the grid-connected capacity is greater than the rated power of the wind farm, the operation and maintenance status of the wind farm is that all wind turbines in the field are not operated and maintained and the loss of electricity is not taken into account.

[0015] Furthermore, when the load of the power system is less than the grid operation capacity, and the wind speed of the wind farm is greater than the rated wind speed of the wind turbine, the grid-connected capacity is less than the output power of the wind farm after the rated power limit is verified, and the wind farm operation and maintenance status is that all wind turbines in the field are not operated and maintained and the loss of electricity is calculated. The loss of electricity E loss for

[0016]

[0017] In the above formula, P N is the rated power of the wind farm; P sys is the grid operation capacity, P load_i is the sampling sequence of the power system load, T i is the wind farm power sampling time series.

[0018] Furthermore, when the load of the power system is less than the operating capacity of the power grid, and the wind speed of the wind farm is between the cut-in wind speed and the rated wind speed, the grid-connected capacity is less than the output power of the wind farm after the power limit verification according to the power curve, the operation and maintenance status of the wind farm is partial unit operation and maintenance and the power loss is calculated. The units with output power greater than the power limit verification power are shut down, and the shutdown units are operated and maintained. The power loss E loss for

[0019]

[0020] Where M is the number of wind farm power sampling times per day, L is the total number of wind turbines, N is the number of wind turbines that are shut down, and k s is the power restriction coefficient of the wind farm after verification based on the power curve, P turb_curve_i is the sampling sequence of the wind turbine power curve, P sys is the grid operation capacity, P load_i is the sampling sequence of the power system load, T i is the wind farm power sampling time series, i is the daily data sampling number, j is the number of the operating wind turbine, and k is the number of the out-of-service wind turbine.

[0021] The wind farm group intelligent operation and maintenance monitoring system of the present invention comprises:

[0022] Data acquisition and database module, used to collect wind farm operation parameters and power grid operation parameters required for monitoring by the wind farm group intelligent operation and maintenance monitoring system;

[0023] Wind farm group intelligent operation and maintenance monitoring algorithm module, used to determine the operation and maintenance status of wind farm units and calculate the power loss;

[0024] The wind farm operation and maintenance auxiliary decision-making module is used to provide wind farm operation and maintenance personnel with unit information and operation and maintenance measures that can be used to carry out operation and maintenance work, and provide operation and maintenance auxiliary decision-making suggestions.

[0025] The computer device of the present invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and is characterized in that the processor implements the steps of the above method when executing the computer program.

[0026] The computer-readable storage medium of the present invention stores a computer program thereon, and the computer program implements the steps of the above method when executed by a processor.

[0027] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages: the present invention adopts the intelligent operation and maintenance monitoring algorithm of the wind farm group to calculate the operation and maintenance status and power loss of the wind farm according to the operating parameters of the wind farm and the power grid; according to the different results calculated by the intelligent operation and maintenance monitoring algorithm software of the wind farm group, the wind farm operation and maintenance personnel are provided with unit information, operation and maintenance measures and operation and maintenance auxiliary decision-making suggestions for carrying out operation and maintenance work, thereby improving the operation and maintenance efficiency of the wind farm and the economic operation level. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a schematic diagram of the architecture of the wind farm group intelligent operation and maintenance monitoring system; Figure 2 A microservice architecture is used for the intelligent operation and maintenance monitoring software of wind farm groups. DETAILED DESCRIPTION

[0029] The present invention will be further described below in conjunction with the accompanying drawings.

[0030] The wind farm group intelligent operation and maintenance monitoring method of the present invention comprises the following steps:

[0031] (1) Collect wind farm operating parameters: wind farm rated power, wind farm output power, current wind speed, rated wind speed, and power restriction coefficient.

[0032] (2) Collect grid operation parameters: power system load and grid operation capacity;

[0033] (3) The calculated operation and maintenance status of the wind farm includes the following four types: all wind turbines in operation and maintenance, all wind turbines in operation and maintenance without any loss of electricity, all wind turbines in operation and maintenance without any loss of electricity, and some wind turbines in operation and maintenance with loss of electricity counted.

[0034] The algorithm module of the intelligent operation and maintenance monitoring system for wind farms calculates the operation and maintenance status of the wind farm according to the set operation and maintenance status judgment conditions, and the following four types of operation and maintenance status are obtained: all wind turbines in operation and maintenance, all wind turbines in operation and maintenance and no power loss is taken into account, all wind turbines in operation and maintenance and power loss is taken into account, and some units are in operation and maintenance and power loss is taken into account.

[0035] The first operation and maintenance status:

[0036] When the wind speed of the wind farm is less than the cut-in wind speed of the wind turbine or the load of the power system is not less than the operating capacity of the power grid, the operation and maintenance mode of the wind turbines in the whole field is activated, and the operation and maintenance work of the wind turbines in the whole field can be carried out. When the wind speed of the wind farm is less than the cut-in wind speed of the wind turbine, the loss of electricity is not taken into account; when the load of the power system is not less than the operating capacity of the power grid, the loss of electricity is calculated by the following formula:

[0037]

[0038] In the above formula, E loss is the power loss, P sys is the grid operation capacity, P load_i is the sampling sequence of the power system load, P farm_curve_i is the sampling sequence of wind farm power curve, T i is the wind farm power sampling time series, and M is the number of wind farm power sampling times per day.

[0039] The second operation and maintenance status:

[0040] When the load of the power system is less than the operating capacity of the grid, and the wind speed of the wind farm is greater than the cut-in wind speed of the wind turbine, and the grid-connected capacity is greater than the rated power of the wind farm, operation and maintenance of the wind turbine is prohibited, regardless of the loss of electricity.

[0041] The third operation and maintenance status:

[0042] When the load of the power system is less than the operating capacity of the grid, and the wind speed of the wind farm is greater than the rated wind speed of the wind turbine, the grid-connected capacity is less than the output power of the wind farm after the rated power limit is verified, that is, the operation and maintenance of the wind turbine is prohibited, and the power loss E loss for:

[0043]

[0044] In the above formula, P N is the rated power of the wind farm;

[0045] The fourth operation and maintenance status:

[0046] When the load of the power system is less than the operating capacity of the power grid, and the wind speed of the wind farm is between the cut-in wind speed and the rated wind speed, and the grid-connected capacity is less than the output power of the wind farm after the power limit verification according to the power curve, the units with output power greater than the power limit verification power will be shut down, and the shutdown units will be operated and repaired, resulting in a loss of power E loss for:

[0047]

[0048] In the above formula, k s is the power restriction coefficient of the wind farm after verification based on the power curve, P turb_curve_i is the sampling sequence of the fan power curve, L is the total number of fans, N is the number of shut-down fans, i is the daily sampling number of the data, j is the number of the operating fan, and k is the number of the shut-down fan.

[0049] like Figure 1 As shown, in this implementation, the wind farm rated power, wind farm output power, current wind speed, rated wind speed, and power limit coefficient are transmitted by the wind farm data acquisition system to the wind farm group intelligent operation and maintenance monitoring system data acquisition and database module. The power system load and grid operation capacity parameters are transmitted from the power production management system area I / II to the wind farm group intelligent operation and maintenance monitoring system data acquisition and database module after the safety isolation device and data desensitization. The above data are synchronously stored in the data mirror server of area III / IV.

[0050] The algorithm module of the wind farm group intelligent operation and maintenance monitoring system polls the mirror server at a fixed period, obtains the wind farm rated power, wind farm output power, current wind speed, rated wind speed, power limitation coefficient, power system load, and grid operation capacity parameters through the data interface, and stores them in the local database.

[0051] like Figure 2As shown in the figure, the wind farm group intelligent operation and maintenance monitoring software adopts a microservice architecture. Taking the wind farm data collection microservice as an example, its operation process is as follows: the wind farm data collection microservice is deployed on the server and registered with the registration center. The heartbeat mechanism is established with the registration center to monitor the service health and ensure the normal operation of the microservice. The configuration files of each microservice are uniformly managed by the configuration center. When the configuration is modified, a lightweight message agent is used to automatically update the configuration. The software front end sends a request to the server. After identity verification, it is forwarded to the corresponding microservice in the registration center through routing. During this period, load balancing is performed through the polling principle. The circuit breaker mechanism is integrated into the microservice call process to avoid the avalanche of other microservices caused by the failure of a certain microservice, ensuring the stable operation of other microservices.

[0052] The wind farm group intelligent operation and maintenance monitoring system of the present invention comprises:

[0053] Data acquisition and database module, used to collect wind farm operation parameters and power grid operation parameters required for monitoring by the wind farm group intelligent operation and maintenance monitoring system;

[0054] Wind farm group intelligent operation and maintenance monitoring algorithm module, used to determine the operation and maintenance status of wind farm units and calculate the power loss;

[0055] The wind farm operation and maintenance auxiliary decision-making module is used to provide wind farm operation and maintenance personnel with unit information and operation and maintenance measures that can be used to carry out operation and maintenance work, and provide operation and maintenance auxiliary decision-making suggestions.

[0056] The computer device of the present invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and is characterized in that the processor implements the steps of the above method when executing the computer program.

[0057] The computer-readable storage medium of the present invention stores a computer program thereon, and the computer program implements the steps of the above method when executed by a processor.

Claims

1. A wind farm group intelligent operation and maintenance monitoring method, characterized in that: The following steps are involved: Collect wind farm and power grid operation parameters; According to the wind farm operation and grid operation parameters, determine the operation and maintenance status of the wind farm and calculate the power loss; Based on the operation and maintenance status and power loss, the units that need operation and maintenance are determined, and auxiliary operation and maintenance decision-making suggestions are provided to maintenance personnel.

2. The wind farm group intelligent operation and maintenance monitoring method according to claim 1 is characterized in that: The wind farm operating parameters include the wind farm rated power, wind farm output power, current wind speed, rated wind speed and power limit coefficient; the grid operating parameters include power system load and grid operating capacity.

3. The method for intelligent operation and maintenance monitoring of wind farm groups according to claim 2 is characterized in that: The operation and maintenance status of a wind farm includes operation and maintenance of all wind turbines in the farm, no operation and maintenance of all wind turbines and no loss of electricity, no operation and maintenance of all wind turbines and loss of electricity is counted, and operation and maintenance of some units and loss of electricity is counted.

4. The method for intelligent operation and maintenance monitoring of wind farm groups according to claim 3 is characterized in that: When the wind speed of the wind farm is less than the cut-in wind speed of the wind turbine or the load of the power system is not less than the operating capacity of the grid, the operation and maintenance status of the wind farm is the operation and maintenance of all wind turbines in the field, and the operation and maintenance of all wind turbines in the field are carried out; when the wind speed of the wind farm is less than the cut-in wind speed of the wind turbine, the loss of electricity is not counted; when the load of the power system is not less than the operating capacity of the grid, the loss of electricity E loss for Among them, P sys is the grid operation capacity, P load_i is the sampling sequence of the power system load, P farm_curve_i is the sampling sequence of wind farm power curve, T i is the wind farm power sampling time series, and M is the number of wind farm power sampling times per day.

5. The method for intelligent operation and maintenance monitoring of wind farm groups according to claim 3 is characterized in that: When the load of the power system is less than the operating capacity of the grid, and the wind speed of the wind farm is greater than the cut-in wind speed of the wind turbine, and the grid-connected capacity is greater than the rated power of the wind farm, the operation and maintenance status of the wind farm is that all wind turbines in the field are not operated and maintained, and the loss of electricity is not taken into account.

6. The method for intelligent operation and maintenance monitoring of wind farm groups according to claim 3 is characterized in that: When the load of the power system is less than the grid operation capacity, and the wind speed of the wind farm is greater than the rated wind speed of the wind turbine, the grid-connected capacity is less than the output power of the wind farm after the rated power limit is verified, and the wind farm operation and maintenance status is that all wind turbines in the field are not operated and maintained and the loss of electricity is calculated. The loss of electricity E loss for In the above formula, P N is the rated power of the wind farm; P sys is the grid operation capacity, P load_i is the sampling sequence of the power system load, T i is the wind farm power sampling time series.

7. The method for intelligent operation and maintenance monitoring of wind farm groups according to claim 1 is characterized in that: When the load of the power system is less than the operating capacity of the power grid, and the wind speed of the wind farm is between the cut-in wind speed and the rated wind speed, the grid-connected capacity is less than the output power of the wind farm after the power limit verification according to the power curve, the operation and maintenance status of the wind farm is partial unit operation and maintenance and the power loss is calculated. The units with output power greater than the power limit verification power are shut down, and the shutdown units are operated and maintained. The power loss E loss for Where M is the number of wind farm power sampling times per day, L is the total number of wind turbines, N is the number of wind turbines that are shut down, and k s is the power restriction coefficient of the wind farm after verification based on the power curve, P turb_curve_i is the sampling sequence of the wind turbine power curve, P sys is the grid operation capacity, P load_i is the sampling sequence of the power system load, T i is the wind farm power sampling time series, i is the daily data sampling number, j is the number of the operating wind turbine, and k is the number of the out-of-service wind turbine.

8. A wind farm group intelligent operation and maintenance monitoring system, characterized in that: include Data acquisition and database module, used to collect wind farm operation parameters and power grid operation parameters required for monitoring by the wind farm group intelligent operation and maintenance monitoring system; Wind farm group intelligent operation and maintenance monitoring algorithm module, used to determine the operation and maintenance status of wind farm units and calculate the power loss; The wind farm operation and maintenance auxiliary decision-making module is used to provide wind farm operation and maintenance personnel with unit information and operation and maintenance measures that can be used to carry out operation and maintenance work, and provide operation and maintenance auxiliary decision-making suggestions.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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