CN115062929A - Reliability evaluation management method, device and system for offshore wind farm - Google Patents
Reliability evaluation management method, device and system for offshore wind farm Download PDFInfo
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Abstract
The invention discloses a method, a device, a computer readable storage medium and a system for reliability evaluation management of an offshore wind farm. The evaluation management device comprises a data acquisition unit, a circulation simulation unit and an operation and maintenance management unit. The evaluation management system includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. The reliability of the offshore wind farm is evaluated by using the reliability coupling evaluation model established by considering various coupling factors, and the operation and maintenance management of the offshore wind farm is carried out according to the evaluation result.
Description
Technical Field
The invention relates to the technical field of reliability evaluation management of offshore wind farms, in particular to a method, a device and a system for reliability evaluation management of offshore wind farms.
Background
Wind power generation has the characteristics of uncertainty, intermittency, uncontrollable performance and the like, and meanwhile, the wind power plant also has a large number of wind turbine generators and electrical equipment and electrical systems with complex and diverse structures, so that the active output of the wind power plant has the characteristics of uncontrollable performance, volatility, randomness and the like, and the characteristics bring challenges for the power system to maintain a power supply to meet the power and electric quantity requirements of loads. On the basis of wind power generation, an offshore wind farm is greatly different from a land wind farm. On one hand, the offshore wind turbine has bad operation conditions, high equipment failure rate and long failure repair time. The offshore environment conditions are more severe than those of the land, the equipment is easily affected by severe natural conditions such as salt fog, typhoon, sea waves and the like, the failure of fan parts is accelerated, and the failure rate of mechanical and electrical systems is increased. According to statistics, the fault of the offshore wind turbine accounts for more than 90% of the fault of the offshore wind power plant. And the problem that the maintenance of the onshore wind power plant only needs to be carried out on ground duty can be solved in real time, the accessibility of the offshore wind power plant is poor, the implementation of an operation maintenance scheme is hindered, the shutdown time of the unit is prolonged, and the availability of the unit is reduced. Statistics show that equipment down time due to weather causes can account for 89.4% of the total offshore wind turbine maintenance time. On the other hand, offshore wind farms are difficult and expensive to operate and maintain. Maintenance of offshore wind turbines requires the use of yachts, hoisted boats, and even helicopters. Some large-scale equipment (such as a bearing) fault repairing can need to use a large-scale crane ship, but the number of the large-scale crane ships suitable for offshore wind farm maintenance is small, the price is very high, and the fault repairing cost of the equipment can be far higher than the cost of the fault equipment. In general, the maintenance cost of a single offshore wind turbine is at least 2 times of that of a land turbine, and the operation and maintenance cost of the wind turbine accounts for 20% -50% of the electricity consumption cost.
The reliability index directly relates to the power generation benefit and the overall income of the whole wind power plant, and the reliability of the wind power plant is reasonably evaluated, so that the reliability evaluation method has important significance for the access of a power system to the wind power plant and the operation management of the wind power plant, and has very important significance for objectively and comprehensively evaluating the reliability of the wind power plant.
In the prior art, the reliability of the current collection system of the offshore wind farm is mainly researched aiming at different topological types (tree type, ring type and star type) and switch configurations (traditional switch configuration and complete switch configuration) of the current collection system, most of researches adopt an analytic method, and some researches also adopt a simulation method to model the current collection system and manage the offshore wind farm according to the optimal configuration output by the model.
However, the prior art still has the following disadvantages: in the prior art, evaluation consideration factors for the reliability of the offshore wind farm are not comprehensive enough, and influence of other factors such as severe weather, operation and maintenance resources, operation and maintenance scheduling and the like on the reliability of the offshore wind farm is not considered, so that the reliability evaluation accuracy is not high, and the management efficiency is low.
Therefore, there is a need for a method, an apparatus and a system for reliability evaluation and management of an offshore wind farm, so as to overcome the above problems in the prior art.
Disclosure of Invention
The embodiment of the invention provides a method, a device and a system for evaluating and managing the reliability of an offshore wind farm, so that the accuracy of evaluating the reliability of the offshore wind farm is improved, and the management efficiency of the offshore wind farm is improved.
An embodiment of the present invention provides a method for reliability evaluation management of an offshore wind farm, where the method includes: acquiring an evaluation parameter group of an offshore wind farm; according to the evaluation parameter group and a preset reliability coupling evaluation model group, carrying out cyclic simulation to obtain a reliability index group in a preset first time interval; the reliability coupling evaluation model group comprises a hydrologic element model, an equipment fault model, an operation and maintenance scheduling model and an electric main wiring reliability model, and the hydrologic element model, the equipment fault model, the electric main wiring reliability model and the operation and maintenance scheduling model are coupled with one another; and carrying out operation and maintenance management on the offshore wind farm according to the reliability index group.
As an improvement of the above scheme, according to the evaluation parameter group and the preset reliability coupling evaluation model group, loop simulation is performed to obtain a reliability index group in a preset first time interval, which specifically includes: acquiring a device data set, an operation and maintenance data set and an environment data set from the evaluation parameter set; sequentially carrying out simulation and acquisition on generating power curves in different second time intervals according to the equipment data group, the operation and maintenance data group, the environment data group, the hydrological element model, the equipment fault model and the operation and maintenance scheduling model, and storing the generating power curves into the generating power curve group; the second time interval is one of a plurality of time periods obtained by equally dividing a preset first time interval by a preset first number of cycles; and calculating a reliability index group in the first time interval according to the generated power curve group.
As an improvement of the above scheme, sequentially performing simulation to obtain a generated power curve in each different second time interval according to the equipment data set, the operation and maintenance data set, the environment data set, the hydrological element model, the equipment fault model, and the operation and maintenance scheduling model, and storing the generated power curve into the generated power curve set specifically includes: acquiring an operation time window according to the hydrologic element model and the environment data group; sampling to obtain a state vector group of the equipment of the offshore wind farm in a second time interval according to the equipment data group, the equipment fault model and a Monte Carlo simulation method; calculating and obtaining the fault repair time of equipment of the offshore wind farm according to the operation time window, the state vector group, the environment data group, the operation and maintenance data group and the operation and maintenance scheduling model; according to the fault repairing time, the wind speed value, the equipment data group and an electrical main wiring reliability model, simulating to obtain a generating power curve in the second time interval; storing the generated power curve into a generated power curve group, accumulating the times of current analog simulation, and judging whether the times are less than the first period number; if the value is less than the preset value, repeating the steps.
As an improvement of the above scheme, the obtaining of the operation time window according to the hydrological element model and the environmental data set specifically includes obtaining a wave height value and a wind speed value in a second time interval according to the hydrological element model and the environmental data set, and calculating the operation time window according to the wave height value and the wind speed value.
As an improvement of the above, the reliability index set includes an equivalent outage rate, an annual expected outage hour number, and an annual power shortage expected value.
As an improvement of the above scheme, calculating and obtaining the fault repair time of the equipment of the offshore wind farm according to the operation time window, the state vector group, the environment data group, the operation and maintenance data group, and the operation and maintenance scheduling model specifically includes: calculating and obtaining an optimized operation and maintenance scheme in a second time interval according to the operation time window, the state vector group, the operation and maintenance resources, the position of the wind power plant and the operation and maintenance scheduling model through a preset cost optimization algorithm; the optimized operation and maintenance scheme comprises a ship operation and maintenance route, an operation and maintenance schedule, an equipment repair schedule and operation and maintenance cost; and obtaining the fault repairing time of the equipment of the offshore wind field according to the optimized operation and maintenance scheme.
The invention correspondingly provides a reliability evaluation management device of an offshore wind farm, which comprises a data acquisition unit, a circulation simulation unit and an operation and maintenance management unit, wherein the data acquisition unit is used for acquiring an evaluation parameter group of the offshore wind farm; the cyclic simulation unit is used for carrying out cyclic simulation according to the evaluation parameter group and a preset reliability coupling evaluation model group to obtain a reliability index group in a preset first time interval; the reliability coupling evaluation model group comprises a hydrologic element model, an equipment fault model, an operation and maintenance scheduling model and an electric main wiring reliability model, and the hydrologic element model, the equipment fault model, the electric main wiring reliability model and the operation and maintenance scheduling model are coupled with one another; and the operation and maintenance management unit is used for performing operation and maintenance management on the offshore wind power plant according to the reliability index group.
As an improvement of the above solution, the loop simulation unit is further configured to: acquiring a device data set, an operation and maintenance data set and an environment data set from the evaluation parameter set; sequentially carrying out simulation to obtain generating power curves in different second time intervals according to the equipment data set, the operation and maintenance data set, the environment data set, the hydrological element model, the equipment fault model and the operation and maintenance scheduling model, and storing the generating power curves into a generating power curve set; the second time interval is one of a plurality of time periods obtained by equally dividing a preset first time interval by a preset first number of cycles; and calculating a reliability index group in the first time interval according to the generated power curve group.
Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, where when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute the method for reliability assessment and management of an offshore wind farm as described above.
Another embodiment of the present invention provides a reliability assessment management system for an offshore wind farm, the assessment management system including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the reliability assessment management method for an offshore wind farm as described above when executing the computer program.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the invention provides a method, a device and a system for evaluating and managing the reliability of an offshore wind farm, which are used for evaluating the reliability of the offshore wind farm by using a reliability coupling evaluation model established by considering various coupling factors and managing the operation and maintenance of an offshore wind farm according to an evaluation result.
Drawings
Fig. 1 is a schematic flow chart of a method for reliability evaluation management of an offshore wind farm according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a reliability evaluation management apparatus for an offshore wind farm according to another embodiment of the present invention;
fig. 3 is a flowchart of a reliability coupling evaluation model set according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Detailed description of the preferred embodiment
The embodiment of the invention firstly describes a reliability evaluation management method for an offshore wind farm. Fig. 1 is a schematic flow chart of a method for reliability evaluation and management of an offshore wind farm according to an embodiment of the present invention.
As shown in fig. 1, the evaluation management method includes:
and S1, acquiring an evaluation parameter group of the offshore wind farm.
The evaluation parameter group comprises a device data group, an operation and maintenance data group and an environment data group.
And S2, according to the evaluation parameter group and the preset reliability coupling evaluation model group, circularly simulating to obtain a reliability index group in a preset first time interval.
In the prior art, factors such as hydrometeorology, operation and maintenance resources, equipment faults, electric main wiring and the like are not considered, and in practical application, the factors are coupled with each other, so that the overall evaluation result is influenced.
Meanwhile, the operation and maintenance of the offshore wind farm are designed to be short-term operation and maintenance and relate to long-term maintenance, so that the reliability coupling evaluation model group is constructed, so that the evaluation is carried out from the perspective of the full life cycle, and the reliability of the evaluation result is improved.
The reliability coupling evaluation model group comprises a hydrologic element model, an equipment fault model, an operation and maintenance scheduling model and an electric main wiring reliability model, and the hydrologic element model, the equipment fault model, the electric main wiring reliability model and the operation and maintenance scheduling model are coupled with one another. The reliability coupling model gives consideration to the randomness of short-term operation and maintenance scheduling decisions and the reasonability of long-term evaluation requirements. The reliability of the offshore wind farm is evaluated by combining an analytical method and a simulation method, and the evaluation method considers the coupling relation among hydrological weather, equipment faults and operation and maintenance resources (vehicles and operation and maintenance personnel), so that the reliability evaluation model of the offshore wind farm is more accurate, and the consideration factors are more comprehensive.
In one embodiment, according to the set of evaluation parameters and the preset reliability coupling evaluation model set, the loop simulation to obtain the set of reliability indexes within the preset first time interval specifically includes: acquiring a device data set, an operation and maintenance data set and an environment data set from the evaluation parameter set; sequentially carrying out simulation and acquisition on generating power curves in different second time intervals according to the equipment data group, the operation and maintenance data group, the environment data group, the hydrological element model, the equipment fault model and the operation and maintenance scheduling model, and storing the generating power curves into the generating power curve group; and calculating a reliability index group in the first time interval according to the generated power curve group. In the simulation process, the embodiment of the invention realizes the consideration of long-term and short-term evaluation reliability by dividing a plurality of small periods in a large period. In one embodiment, the first time interval is a large period, the second time interval is a small period, and the predetermined number of first periods is the number of second time intervals in the first time interval. That is, the second time interval is one of several time periods obtained by equally dividing a preset first time interval by a preset first number of cycles. In one embodiment, the first time interval is one year and the second time interval is one day.
In one embodiment, sequentially performing simulation to obtain a generated power curve in each of different second time intervals according to the equipment data set, the operation and maintenance data set, the environment data set, the hydrological element model, the equipment fault model, and the operation and maintenance scheduling model, and storing the generated power curve into the generated power curve set specifically includes: acquiring an operation time window according to the hydrologic element model and the environment data group; sampling to obtain a state vector group of the equipment of the offshore wind farm in a second time interval according to the equipment data group, the equipment fault model and a Monte Carlo simulation method; calculating and obtaining the fault repair time of equipment of the offshore wind farm according to the operation time window, the state vector group, the environment data group, the operation and maintenance data group and the operation and maintenance scheduling model; according to the fault repairing time, the wind speed value, the equipment data group and an electrical main wiring reliability model, simulating to obtain a generating power curve in the second time interval; storing the generated power curve into a generated power curve group, accumulating the times of current analog simulation, and judging whether the times are less than the first period number; if the value is less than the preset value, repeating the steps.
In the above process, the cyclic simulation process is actually a process of equally dividing a whole life cycle (first time interval) into a plurality of short cycles (second time intervals), and sequentially cyclically simulating in sequence (the corresponding simulation time increases by one second time interval in each cycle) to obtain a generated power curve of the whole life cycle.
In one embodiment, the obtaining of the operation time window according to the hydrological element model and the environmental data set specifically includes obtaining a wave height value and a wind speed value in a second time interval according to the hydrological element model and the environmental data set, and calculating the operation time window according to the wave height value and the wind speed value.
In one embodiment, the calculating the fault repair time of the equipment in the offshore wind farm according to the operation time window, the state vector group, the environment data group, the operation and maintenance data group, and the operation and maintenance scheduling model specifically includes: calculating and obtaining an optimized operation and maintenance scheme in a second time interval according to the operation time window, the state vector group, the operation and maintenance resources, the position of the wind power plant and the operation and maintenance scheduling model through a preset cost optimization algorithm; the optimized operation and maintenance scheme comprises a ship operation and maintenance route, an operation and maintenance schedule, an equipment repair schedule and operation and maintenance cost; and obtaining the fault repairing time of the equipment of the offshore wind field according to the optimized operation and maintenance scheme.
In one embodiment, the set of reliability indicators includes an equivalent outage rate, an annual expected number of outage hours, and an annual power deficit expected value.
And S3, performing operation and maintenance management on the offshore wind farm according to the reliability index group.
For further description, reference is made to fig. 3 to describe an implementation architecture of an embodiment of the invention. Firstly, setting the number of large cycles, small cycles and small cycles of simulation, and setting initial time; then, obtaining a time-varying curve of meteorological hydrological factor (wind speed and wave height) values in a small period based on the hydrological factor model, and meanwhile, outputting an influence factor on the equipment fault rate to the equipment fault model, outputting a time window obtained according to the wind speed and the wave height and ship parameters to the operation and maintenance scheduling model, and outputting a power generation curve of each fan in the small period without considering the fault to the electric main wiring reliability model by the hydrological factor model; then, the equipment fault model outputs a sea operation and maintenance task to the operation and maintenance scheduling model according to the influence factors, and the operation and maintenance scheduling model outputs fault time periods and normal working time periods after repair of each fault equipment in a small period to the electric main wiring reliability model according to the sea operation and maintenance task and the time window; then, the electric main wiring reliability model outputs a power generation power curve of the whole offshore wind farm in a small period under the coupling condition of various factors according to a power generation power curve of the fan, the fault time period of each fault device and the normal working time period after repair; judging the serial number of the current simulated small cycle after the small cycle simulation is finished, and finishing the simulation and outputting a result if the number of the current simulated small cycles reaches the number of the previously set small cycles; otherwise, the simulation of the next small period is entered.
The embodiment of the invention describes a reliability evaluation management method for an offshore wind farm, which is characterized in that reliability evaluation is carried out on the offshore wind farm by using a reliability coupling evaluation model established by considering various coupling factors, and operation and maintenance management of the offshore wind farm is carried out according to an evaluation result.
Detailed description of the invention
Besides the method, the embodiment of the invention also discloses a device for evaluating and managing the reliability of the offshore wind farm. Referring to fig. 2, a schematic structural diagram of a reliability evaluation management device for an offshore wind farm according to another embodiment is provided.
As shown in fig. 2, the evaluation management apparatus includes a data acquisition unit 11, a loop simulation unit 12, and an operation and maintenance management unit 13.
The data obtaining unit 11 is configured to obtain an evaluation parameter group of the offshore wind farm.
The cyclic simulation unit 12 is configured to perform cyclic simulation to obtain a reliability index set within a preset first time interval according to the evaluation parameter set and a preset reliability coupling evaluation model set. The reliability coupling evaluation model group comprises a hydrologic element model, an equipment fault model, an operation and maintenance scheduling model and an electric main wiring reliability model, and the hydrologic element model, the equipment fault model, the electric main wiring reliability model and the operation and maintenance scheduling model are coupled with one another.
And the operation and maintenance management unit 13 is configured to perform operation and maintenance management on the offshore wind farm according to the reliability index group.
In one embodiment, the loop simulation unit 12 is further configured to: acquiring a device data set, an operation and maintenance data set and an environment data set from the evaluation parameter set; sequentially carrying out simulation and acquisition on generating power curves in different second time intervals according to the equipment data group, the operation and maintenance data group, the environment data group, the hydrological element model, the equipment fault model and the operation and maintenance scheduling model, and storing the generating power curves into the generating power curve group; the second time interval is one of a plurality of time periods obtained by equally dividing a preset first time interval by a preset first number of cycles; and calculating a reliability index group in the first time interval according to the generated power curve group.
Wherein, the unit integrated by the evaluation management device can be stored in a computer readable storage medium if it is realized in the form of software functional unit and sold or used as a stand-alone product. Based on such understanding, all or part of the flow in the method according to the above embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium and used by a processor to implement the steps of the above embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the device provided by the invention, the connection relationship between the units indicates that the units have communication connection therebetween, and the connection relationship can be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement without inventive effort.
The embodiment of the invention describes a reliability evaluation management device of an offshore wind farm, which is used for evaluating the reliability of the offshore wind farm by using a reliability coupling evaluation model established by considering various coupling factors and carrying out operation and maintenance management on an offshore wind farm according to an evaluation result.
Detailed description of the preferred embodiment
Besides the method and the device, the embodiment of the invention also describes a reliability evaluation management system of the offshore wind farm.
The evaluation management system comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method for reliability evaluation management of an offshore wind farm as described above when executing the computer program.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor is a control center of the reliability evaluation management device of the offshore wind farm, and various interfaces and lines are used for connecting various parts of the whole evaluation management device.
The memory may be used to store the computer programs and/or modules, and the processor may implement the various functions of the assessment management device by running or executing the computer programs and/or modules stored in the memory, as well as by invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A reliability evaluation management method for an offshore wind farm, the management method comprising:
acquiring an evaluation parameter group of an offshore wind farm;
according to the evaluation parameter group and a preset reliability coupling evaluation model group, carrying out circular simulation to obtain a reliability index group in a preset first time interval; the reliability coupling evaluation model group comprises a hydrologic element model, an equipment fault model, an operation and maintenance scheduling model and an electric main wiring reliability model, and the hydrologic element model, the equipment fault model, the electric main wiring reliability model and the operation and maintenance scheduling model are coupled with one another;
and carrying out operation and maintenance management on the offshore wind farm according to the reliability index group.
2. The method according to claim 1, wherein the cyclic simulation is performed to obtain the reliability index set within the preset first time interval according to the evaluation parameter set and the preset reliability coupling evaluation model set, and specifically comprises:
acquiring a device data set, an operation and maintenance data set and an environment data set from the evaluation parameter set;
sequentially carrying out simulation and acquisition on generating power curves in different second time intervals according to the equipment data group, the operation and maintenance data group, the environment data group, the hydrological element model, the equipment fault model and the operation and maintenance scheduling model, and storing the generating power curves into the generating power curve group; the second time interval is one of a plurality of time periods obtained by equally dividing a preset first time interval by a preset first number of cycles;
and calculating a reliability index group in the first time interval according to the generated power curve group.
3. The method according to claim 2, wherein the step of sequentially performing simulation and acquisition of the generated power curves in different second time intervals according to the equipment data set, the operation and maintenance data set, the environment data set, the hydrological element model, the equipment fault model and the operation and maintenance scheduling model, and storing the generated power curves into the generated power curve set specifically comprises:
acquiring an operation time window according to the hydrologic element model and the environment data group;
sampling to obtain a state vector group of the equipment of the offshore wind farm in a second time interval according to the equipment data group, the equipment fault model and a Monte Carlo simulation method;
calculating and obtaining the fault repair time of equipment of the offshore wind farm according to the operation time window, the state vector group, the environment data group, the operation and maintenance data group and the operation and maintenance scheduling model;
according to the fault repairing time, the wind speed value, the equipment data group and the electrical main wiring reliability model, simulating to obtain a generating power curve in the second time interval;
storing the generated power curve into a generated power curve group, accumulating the times of current analog simulation, and judging whether the times are less than the first period number;
if the value is less than the preset value, repeating the steps.
4. The method for reliability assessment and management of an offshore wind farm according to claim 3, wherein the obtaining of the operation time window according to the hydrologic element model and the environmental data set specifically comprises:
and acquiring a wave height value and a wind speed value in a second time interval according to the hydrological element model and the environment data group, and calculating an operation time window according to the wave height value and the wind speed value.
5. The method according to claim 1, wherein the reliability index set includes an equivalent outage rate, an annual expected outage hours, and an annual power deficit expected value.
6. The method for reliability assessment and management of an offshore wind farm according to claim 3, wherein the calculating of the fault repair time of the equipment of the offshore wind farm according to the operation time window, the state vector group, the environment data group, the operation and maintenance data group and the operation and maintenance scheduling model specifically comprises:
calculating and obtaining an optimized operation and maintenance scheme in a second time interval according to the operation time window, the state vector group, the operation and maintenance resources, the position of the wind power plant and the operation and maintenance scheduling model through a preset cost optimization algorithm; the optimized operation and maintenance scheme comprises a ship operation and maintenance route, an operation and maintenance schedule, an equipment repair schedule and operation and maintenance cost;
and obtaining the fault repairing time of the equipment of the offshore wind field according to the optimized operation and maintenance scheme.
7. The reliability evaluation management device of the offshore wind farm is characterized by comprising a data acquisition unit, a circulation simulation unit and an operation and maintenance management unit,
the data acquisition unit is used for acquiring an evaluation parameter group of the offshore wind farm;
the cyclic simulation unit is used for carrying out cyclic simulation to obtain a reliability index group in a preset first time interval according to the evaluation parameter group and a preset reliability coupling evaluation model group; the reliability coupling evaluation model group comprises a hydrologic element model, an equipment fault model, an operation and maintenance scheduling model and an electric main wiring reliability model, and the hydrologic element model, the equipment fault model, the electric main wiring reliability model and the operation and maintenance scheduling model are coupled with one another;
and the operation and maintenance management unit is used for performing operation and maintenance management on the offshore wind power plant according to the reliability index group.
8. The device for reliability assessment management of an offshore wind farm according to claim 7, characterized in that said cyclic simulation unit is further adapted to:
acquiring a device data set, an operation and maintenance data set and an environment data set from the evaluation parameter set;
sequentially carrying out simulation and acquisition on generating power curves in different second time intervals according to the equipment data group, the operation and maintenance data group, the environment data group, the hydrological element model, the equipment fault model and the operation and maintenance scheduling model, and storing the generating power curves into the generating power curve group; the second time interval is one of a plurality of time periods obtained by equally dividing a preset first time interval by a preset first number of cycles;
and calculating a reliability index group in the first time interval according to the generated power curve group.
9. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method for reliability assessment management of offshore wind farms according to any one of claims 1 to 6.
10. A reliability assessment management system of an offshore wind farm, characterized in that the assessment management system comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor when executing the computer program implementing the method of reliability assessment management of an offshore wind farm according to any of claims 1 to 6.
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| RU2725354C1 (en) * | 2019-09-09 | 2020-07-02 | Открытое Акционерное Общество "Российские Железные Дороги" | Method for improving reliability of railroad automation and telemechanics systems with evaluation of efficiency thereof |
| CN112507608A (en) * | 2020-11-13 | 2021-03-16 | 中国航天标准化研究所 | Security simulation method and device for space human-computer interaction system |
| CN113541194A (en) * | 2021-07-29 | 2021-10-22 | 南方电网科学研究院有限责任公司 | Reliability evaluation method for offshore wind power plant and VSC-HVDC grid-connected system |
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| RU2725354C1 (en) * | 2019-09-09 | 2020-07-02 | Открытое Акционерное Общество "Российские Железные Дороги" | Method for improving reliability of railroad automation and telemechanics systems with evaluation of efficiency thereof |
| CN112507608A (en) * | 2020-11-13 | 2021-03-16 | 中国航天标准化研究所 | Security simulation method and device for space human-computer interaction system |
| CN113541194A (en) * | 2021-07-29 | 2021-10-22 | 南方电网科学研究院有限责任公司 | Reliability evaluation method for offshore wind power plant and VSC-HVDC grid-connected system |
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