CN103489132A - Wind power plant reliability evaluating system - Google Patents
Wind power plant reliability evaluating system Download PDFInfo
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- CN103489132A CN103489132A CN201310393276.6A CN201310393276A CN103489132A CN 103489132 A CN103489132 A CN 103489132A CN 201310393276 A CN201310393276 A CN 201310393276A CN 103489132 A CN103489132 A CN 103489132A
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- 238000004088 simulation Methods 0.000 claims abstract description 38
- 238000000342 Monte Carlo simulation Methods 0.000 claims abstract description 12
- 238000011156 evaluation Methods 0.000 claims abstract description 7
- 230000005611 electricity Effects 0.000 claims description 9
- 238000007726 management method Methods 0.000 abstract description 2
- 230000005684 electric field Effects 0.000 abstract 1
- 238000000034 method Methods 0.000 description 4
- 238000010248 power generation Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 238000005309 stochastic process Methods 0.000 description 1
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Abstract
A wind power plant reliability evaluating system is composed of a user input interface module, a preset condition input module, a wind speed condition generating module, a wind speed characteristic base, a wind motor output power model base, a random invent model base, a Monte Carlo method module, a wind field state simulation module and a power grid power output index module. A user inputs data through a user input interface, and the data input by the user is converted into condition data subjected to simulation run with the support of the preset condition input module and the wind speed condition generating module. The wind speed characteristic base, the wind motor output power model base and the random invent model base are led in by the wind field state simulation module, the reliability of the wind electric field is simulated with the support of the Monte Carlo method module, and a simulation result is output through the power grid power output index module with loss of load probability and expected energy not supplied as evaluation indexes. The wind power plant reliability evaluating system can evaluate reliability of the wind power plant and provide decision support for power grid management and wind power plant planning work.
Description
Technical field
The invention belongs to generating and electric energy management field, this system can be estimated the reliability of wind energy turbine set by simulation means, obtains and loses Load Probability and expect for evaluation indexes such as short of electricity amounts, for the wind energy turbine set planning provides decision support.
Background technology
Along with the increase of wind-power electricity generation project quantity and the expansion of scale, also exposed some problems in wind energy turbine set planning: when the actual power generation of wind energy turbine set and planning, the generated energy of prediction has larger gap, and wind energy turbine set may affect the problems such as normal operation of electric system with the injection of acc power.Because wind-power electricity generation has randomness and intermittent characteristics, so need to be estimated the reliability of wind energy turbine set.
Current system majority, based on the single simulation condition, once only can be considered single condition in operational process, when adding a plurality of simulated conditions, can only the result of multiple condition simply be added up; And, in the middle of reality, wind energy turbine set wind speed environment, wind turbine ability to work, various accident in power generation process are comprehensive for the impact of power generation process, the integral body of an impact of multiple condition formation is jointly influential to the output electric weight; In addition, also do not store the True Data in corresponding area for wind speed, wind turbine parameter in current system; Above problem makes existing system simulation result and actual result apart from each other, and evaluation result can not reflect the real reliability of wind energy turbine set, loses actual reference.
summary of the inventionthe technical problem to be solved in the present invention is: how to construct the parameter of a wind speed that considers wind field, wind turbine and ability to work, the various factor that affects the random occurrence of wind-powered electricity generation quality, set up the simulated environment of closing to reality situation more, realize the Reliability assessment of wind farm with reference value.
For achieving the above object, the invention provides a kind of Reliability assessment of wind farm system, it is characterized in that: comprise user's inputting interface, the prerequisite load module, the wind friction velocity generation module, the wind speed feature database, wind turbine output power model storehouse, the random occurrence model bank, the monte carlo method module, wind field state simulation module, grid power output-index module, the output terminal of user's inputting interface connects respectively the prerequisite load module, the input end of wind friction velocity generation module, the output terminal of prerequisite load module and wind friction velocity generation module all is connected with the input end of wind field state simulation module, the output terminal of monte carlo method module also is connected to the input end of wind field state simulation module, the wind speed feature database, wind turbine output power model storehouse and random occurrence model bank are connected to the input end of wind field state simulation module, the output terminal of wind field state simulation module connects the input end of grid power output-index module, the user is by user's inputting interface input data, under the support of prerequisite load module and wind friction velocity generation module, the condition data that user's input is converted to dry run is transferred to wind field state simulation module, wind field state simulation module is introduced the wind speed feature database, wind turbine output power model storehouse and random occurrence model bank are also carried out the wind energy turbine set reliability and are simulated under the support of monte carlo method module, the result of simulation be take and lost Load Probability and expectation and exported as the evaluation index form for the short of electricity amount by grid power output-index module.
Compared with prior art, the invention has the beneficial effects as follows:
Use the wind speed environment of wind speed feature database storage real embodiment this area; Use peak output power of motor model bank to store the performance information of true wind turbine; Use the random occurrence model bank to consider the critical event that affects the wind-powered electricity generation reliability.By wind field state simulation module, wind speed, wind turbine, random occurrence are considered the impact of wind energy turbine set generating, simulated, can be obtained more believable reliability evaluation index.
The accompanying drawing explanation
Fig. 1 is the block diagram of system of the present invention.
Embodiment
With reference to Fig. 1, a kind of Reliability assessment of wind farm system, comprise user's inputting interface 1, prerequisite load module 2, wind friction velocity generation module 3, wind speed feature database 4, wind turbine output power model storehouse 5, random occurrence model bank 6, monte carlo method module 7, wind field state simulation module 8, grid power output-index module 9, the output terminal of user's inputting interface connects respectively the prerequisite load module, the input end of wind friction velocity generation module, the output terminal of prerequisite load module and wind friction velocity generation module all is connected with the input end of wind field state simulation module, the output terminal of monte carlo method module also is connected to the input end of wind field state simulation module, the wind speed feature database, wind turbine output power model storehouse and random occurrence model bank are connected to the input end of wind field state simulation module, the output terminal of wind field state simulation module connects the input end of grid power output-index module, the user is by user's inputting interface input data, under the support of prerequisite load module and wind friction velocity generation module, the condition data that user's input is converted to dry run is transferred to wind field state simulation module, wind field state simulation module is introduced the wind speed feature database, wind turbine output power model storehouse and random occurrence model bank are also carried out the wind energy turbine set reliability and are simulated under the support of monte carlo method module, the result of simulation be take and lost Load Probability and expectation and exported as the evaluation index form for the short of electricity amount by grid power output-index module.
The course of work: by the random occurrence list of the name of the type of wind, wind turbine, participation simulation, the mode with pictorialization represents user's inputting interface module to the user, and the user is selected thereon, and user's input is converted to input parameter, prerequisite load module and wind friction velocity generation module receive the input parameter data message that user's inputting interface module is sent, and the wind speed numbering that user's input parameter is converted to one group of wind turbine numbering, random occurrence numbering and operation passes to wind field state simulation module, wind field state simulation module is set up a comprehensive simulated environment, obtain fluctuations in wind speed according to the wind speed numbering from the wind speed feature database, the specifying information of intensity, obtain concrete wind turbine performance information according to the wind turbine numbering from wind turbine output power model storehouse, obtain the scope of corresponding event to wind energy turbine set generating image according to the random occurrence numbering from the random occurrence model bank, intensity, action time information, introduce the Monte Carlo stochastic process that the monte carlo method module generates, build the simulation of wind environment, the operation simulation process produces analog result, grid power output-index module is calculated the analog result of wind field state simulation module output, be converted to lose Load Probability and expect for the short of electricity amount output that is index, as the Reliability assessment of wind farm result.
Claims (1)
1. a Reliability assessment of wind farm system, it is characterized in that: comprise user's inputting interface, the prerequisite load module, the wind friction velocity generation module, the wind speed feature database, wind turbine output power model storehouse, the random occurrence model bank, the monte carlo method module, wind field state simulation module, grid power output-index module, the output terminal of user's inputting interface connects respectively the prerequisite load module, the input end of wind friction velocity generation module, the output terminal of prerequisite load module and wind friction velocity generation module all is connected with the input end of wind field state simulation module, the output terminal of monte carlo method module also is connected to the input end of wind field state simulation module, the wind speed feature database, wind turbine output power model storehouse and random occurrence model bank are connected to the input end of wind field state simulation module, the output terminal of wind field state simulation module connects the input end of grid power output-index module, the user is by user's inputting interface input data, under the support of prerequisite load module and wind friction velocity generation module, the condition data that user's input is converted to dry run is transferred to wind field state simulation module, wind field state simulation module is introduced the wind speed feature database, wind turbine output power model storehouse and random occurrence model bank are also carried out the wind energy turbine set reliability and are simulated under the support of monte carlo method module, the result of simulation be take and lost Load Probability and expectation and exported as the evaluation index form for the short of electricity amount by grid power output-index module.
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| CN201310393276.6A CN103489132A (en) | 2013-09-03 | 2013-09-03 | Wind power plant reliability evaluating system |
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| CN201310393276.6A CN103489132A (en) | 2013-09-03 | 2013-09-03 | Wind power plant reliability evaluating system |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104319807A (en) * | 2014-10-17 | 2015-01-28 | 南方电网科学研究院有限责任公司 | Method for obtaining multi-wind-farm-capacity credibility based on Copula function |
| CN106094790A (en) * | 2016-06-03 | 2016-11-09 | 内蒙古大唐国际新能源有限公司 | Wind power equipment reliability management information system |
| CN106295226A (en) * | 2016-08-26 | 2017-01-04 | 山东电力工程咨询院有限公司 | Consider the standby decision method of Power System Reliability and economy as a whole |
| CN106407537A (en) * | 2016-09-08 | 2017-02-15 | 华能新能源股份有限公司辽宁分公司 | Configurable wind farm three-dimensional simulation secondary development platform |
| CN108335004A (en) * | 2017-09-07 | 2018-07-27 | 广东石油化工学院 | A kind of wind generator system method for evaluating reliability equal based on the electric energy that is obstructed |
| CN116108989A (en) * | 2023-01-13 | 2023-05-12 | 华润电力技术研究院有限公司 | Wind power ultra-short-term power prediction method, system, storage medium and device |
-
2013
- 2013-09-03 CN CN201310393276.6A patent/CN103489132A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104319807A (en) * | 2014-10-17 | 2015-01-28 | 南方电网科学研究院有限责任公司 | Method for obtaining multi-wind-farm-capacity credibility based on Copula function |
| CN106094790A (en) * | 2016-06-03 | 2016-11-09 | 内蒙古大唐国际新能源有限公司 | Wind power equipment reliability management information system |
| CN106094790B (en) * | 2016-06-03 | 2018-12-07 | 内蒙古大唐国际新能源有限公司 | Wind power equipment reliability management information system |
| CN106295226A (en) * | 2016-08-26 | 2017-01-04 | 山东电力工程咨询院有限公司 | Consider the standby decision method of Power System Reliability and economy as a whole |
| CN106407537A (en) * | 2016-09-08 | 2017-02-15 | 华能新能源股份有限公司辽宁分公司 | Configurable wind farm three-dimensional simulation secondary development platform |
| CN108335004A (en) * | 2017-09-07 | 2018-07-27 | 广东石油化工学院 | A kind of wind generator system method for evaluating reliability equal based on the electric energy that is obstructed |
| CN116108989A (en) * | 2023-01-13 | 2023-05-12 | 华润电力技术研究院有限公司 | Wind power ultra-short-term power prediction method, system, storage medium and device |
| CN116108989B (en) * | 2023-01-13 | 2024-02-02 | 华润电力技术研究院有限公司 | Wind power ultra-short-term power prediction method, system, storage medium and device |
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