WO2012088915A1 - Method for analyzing influence of fluctuation in output power of wind farm on power grid - Google Patents
Method for analyzing influence of fluctuation in output power of wind farm on power grid Download PDFInfo
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- WO2012088915A1 WO2012088915A1 PCT/CN2011/079147 CN2011079147W WO2012088915A1 WO 2012088915 A1 WO2012088915 A1 WO 2012088915A1 CN 2011079147 W CN2011079147 W CN 2011079147W WO 2012088915 A1 WO2012088915 A1 WO 2012088915A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Definitions
- the invention belongs to the technical field of wind power generation and distribution, and relates to a method for analyzing the influence of fluctuations of output power of a wind farm on a power grid.
- the object of the present invention is to provide a method for analyzing the influence of wind power output power fluctuation on the power grid, and provide reference for wind power grid connection and dispatch to ensure safe and stable operation of the power grid.
- the present invention adopts the following technical solutions.
- the present invention combines the regional power grid ACE fluctuation data to analyze the influence of the output power fluctuation of the wind farm on the power grid, including the following steps:
- n represents the number of grid-connected wind farms in the regional grid, indicating the predicted power of the single wind farm
- P' represents the total power of the wind power forecasted by the regional grid.
- n represents the number of grid-connected wind farms in the regional grid, indicating the actual output power of the single wind farm, and P represents the actual output of the wind power of the regional grid.
- ⁇ indicates the duration of the current time from the nearest wind power forecasting
- ⁇ ' indicates the duration of the giant analysis time at the current time
- ⁇ Indicates the actual total wind power at the current moment
- ⁇ ' ⁇ indicates the total power predicted by wind power at ⁇ , ⁇ ' ⁇ , indicating that the wind power fluctuation is predicted at the analysis time.
- the invention has the beneficial effects of providing a method for analyzing the influence of the output power fluctuation of the wind farm on the power grid, based on the actual power data of the regional power grid wind power, combining the wind power power prediction data of the single wind farm in the regional power grid, and the ACE fluctuation data of the regional power grid to provide quantitative analysis.
- the method analyzes the influence of wind farm output power fluctuation on the power grid.
- the core lies in the integrated wind power prediction technology and SCADA technology, and the impact of early warning wind power fluctuation on the power grid, which provides a basis for large-scale grid connection and dispatch of wind power, which helps to improve the utilization of green energy. Description
- Figure 1 is a flow chart of the present invention.
- the method for analyzing the influence of the output power fluctuation of the wind farm on the power grid mainly lies in quantitatively analyzing the influence of the regional wind power output power fluctuation on the ACE fluctuation of the regional power grid, which is composed of three links: basic data collection, calculation, comparison limit, early warning, The process is shown in Figure 1.
- Stepl Collect the predicted power of each grid-connected wind farm from the wind power forecasting system of each grid-connected wind farm in North China Power Grid, such as the predicted power of two wind farms in North China Power Grid from December 1, 2010 to 00 pm.
- Step2 According to the time, the wind power is predicted at the same time point, and according to the formula
- Step3 Collect the actual output power of each connected wind farm in North China Power Grid. For example, on December 01, 2010, from 08:00 to 48 minutes, the actual output power of two wind farms in North China Power Grid.
- Step4 According to the time, the actual output power of each connected wind farm at the same time point is summed according to the formula.
- Step5 Collect ACE fluctuation data of North China Power Grid, such as ACE fluctuation data of North China Power Grid from 08:00 to 30 minutes on December 01, 2010.
- Stepl Take the current time as 08:30 on December 01, 2010, the actual total power of wind power in North China Power Grid at that time. For 3724MW, the total predicted wind power of North China Power Grid, which is closest to the moment, is 3920MW at 08:45 on December 01, 2010, which is 15min. The analysis time is 08:31 on December 01, 2010, then ⁇ 'for lmin, according to the formula:
- Step2 Take the current time as 08:30 on December 01, 2010. At this time, the ACE fluctuation of the North China Power Grid is 24MW, according to the formula:
- Stepl Take the current time as December 1, 2010 and 08:30, and analyze the time as 08:31 on December 1, 2010. Calculate the analysis time to predict the ACE fluctuation to 37.07MW, compared with the ACE fluctuation threshold of 30MW.
- the threshold is 7.07MW, and an early warning is made.
- the North China Power Grid dispatch dispatcher can respond to the wind power fluctuations at 08:31, the Beijing-Tianjin-Tang ACE fluctuation threshold of 7.07MW, and adjust other types of power supply. Ways to avoid fluctuations in wind power power adversely affect the safe and stable operation of the grid.
Abstract
A method for analyzing the influence of fluctuation in the output power of a wind farm on a power grid.The method includes the following steps: calculating predicted regional control error (ACE) fluctuation data for the next moment according to the predicted wind power data of a single wind farm for a regional power grid, the actual wind power data for the regional power grid, and the ACE fluctuation data for the regional power grid; and comparing the predicted ACE fluctuation data for the next moment with an ACE threshold; if the predicted ACE fluctuation data for the next moment exceeds the ACE threshold, then an alert is carried out.In the foregoing, ACE is an error value caused by factors such as the current load, power generation, power reception and frequency of the power grid, and this error value reflects the power balance of the region.The method provides a basis for large-scale grid integration and scheduling of the wind power, which is helpful for improving the utilization efficiency of a green resource.
Description
说 明 书 Description
一种分析风电场输出功率波动对电网影响的方法 技术领域 Method for analyzing influence of wind farm output power fluctuation on power grid
本发明属于风力发配电技术领域， 涉及一种分析风电场输出功率 波动对电网影响的方法。 The invention belongs to the technical field of wind power generation and distribution, and relates to a method for analyzing the influence of fluctuations of output power of a wind farm on a power grid.
背景技术 Background technique
近年来， 我国的并网风电发展迅速， 到 2009 年底， 全国风电总 装机容量达到 2580.5万千瓦（共 21581台风电机组）， 居世界第二位, 到 2010年 9月， 我国有四个省区电网的风电装机容量超过 200万千 瓦,到 2020年， 预计风电总装机容量将达到 1.5亿千瓦， 建成 7个千 万千瓦级超大规模风电基地。风资源的不确定性和风电机组本身的运 行特性使风电场的输出功率具有间歇性和波动性 ,大规模并网风电给 电力系统的安全稳定运行带来困难，风电并网的技术难题、运行困难、 瓶颈逐步显现， 风电并网困难成为一个关注焦点。 量化分析风电场输 出功率对电网的影响，能够为实时修正电网调度部门的发电计划提供 依据， 从而为保障电网安全稳定， 最大限度的提高风电等绿色能源的 利用效率提供依据。 In recent years, China's grid-connected wind power has developed rapidly. By the end of 2009, the total installed capacity of wind power in the country reached 25.805 million kilowatts (21,581 wind turbines), ranking second in the world. By September 2010, China had four provinces. The installed capacity of wind power grids exceeds 2 million kilowatts. By 2020, the total installed capacity of wind power is expected to reach 150 million kilowatts, and 7 million kilowatt-class super-large-scale wind power bases will be built. The uncertainty of wind resources and the operating characteristics of wind turbines make the output power of wind farms intermittent and volatility. Large-scale grid-connected wind power brings difficulties to the safe and stable operation of power systems. Technical problems and operation of wind power grid-connected Difficulties and bottlenecks have gradually emerged, and the difficulty of grid integration has become a focus of attention. Quantitative analysis of the impact of wind farm output power on the grid can provide a basis for real-time correction of power generation plans of the grid dispatching department, thus providing a basis for ensuring the safety and stability of the grid and maximizing the utilization efficiency of green energy such as wind power.
使用区域电网内单风电场风电功率预测数据、 区域电网风电实际 功率数据、 区域电网 ACE ( Area Control Error 即区域控制偏差， 是 根据电网的当前负荷、 发电、 受电、 频率等因素形成的偏差值， 它反 映了区域的功率平衡情况） 波动数据， 计算出下一时刻预测 ACE波 动， 与 ACE阚值比较， 并做出预警， 是一种有效的分析风电场输出 功率波动对电网影响的方法。
说 明 书 Using wind power forecast data of single wind farms in regional power grids, actual power data of regional grid wind power, and area control ACE (area control error, which is the deviation value based on current load, power generation, power receiving, frequency, etc. of the grid) It reflects the regional power balance. Fluctuation data, calculates the predicted ACE fluctuations at the next moment, compares with the ACE threshold, and makes an early warning. It is an effective method to analyze the impact of wind farm output power fluctuations on the grid. Instruction manual
发明内容 Summary of the invention
本发明的目的在于提供一种分析风电场输出功率波动对电网影 响的方法， 为风电并网及调度提供参考， 保障电网安全稳定运行。 The object of the present invention is to provide a method for analyzing the influence of wind power output power fluctuation on the power grid, and provide reference for wind power grid connection and dispatch to ensure safe and stable operation of the power grid.
为了实现上述发明目的， 本发明采用如下技术方案。 In order to achieve the above object, the present invention adopts the following technical solutions.
本发明根据区域电网内单风电场风电功率预测数据、 区域电网风 电实际输出功率数据， 结合区域电网 ACE波动数据分析风电场输出 功率波动对电网的影响， 包括以下步骤： According to the wind power prediction data of the single wind farm in the regional power grid and the actual output power data of the regional grid wind power, the present invention combines the regional power grid ACE fluctuation data to analyze the influence of the output power fluctuation of the wind farm on the power grid, including the following steps:
1 ) 从区域电网各并网风电场风电预测系统中采集各并网风电 场预测功率， 根据时间进行整编， 相同时间点的风电场预 测功率求和， 计算得出区域电网风电预测总功率（风电预 测功率为 15分钟 1个数据点 ) ： i=\ 1) Collecting the predicted power of each connected wind farm from the wind power forecasting system of each grid-connected wind farm in the regional power grid, reorganizing according to the time, summing the predicted power of the wind farm at the same time point, and calculating the total power of the wind power forecasted by the regional power grid (wind power) The predicted power is 1 data point for 15 minutes): i=\
式中： n表示区域电网各并网风电场数， 表示单风电场 预测功率， P'表示区域电网风电预测总功率。 Where: n represents the number of grid-connected wind farms in the regional grid, indicating the predicted power of the single wind farm, and P' represents the total power of the wind power forecasted by the regional grid.
2 ) 从区域电网数据采集与监控系统中采集区域电网各并网风 电场实际输出功率， 才艮据时间进行整编， 相同时间点的风 电场实际输出功率求和，计算得出区域电网风电实际输出 总功率：
2) Collecting the actual output power of each grid-connected wind farm of the regional grid from the regional grid data acquisition and monitoring system, and reorganizing according to the time, summing the actual output power of the wind farm at the same time point, and calculating the actual output of the wind power of the regional grid. Total power:
式中： n表示区域电网各并网风电场数， 表示单风电场 实际输出功率， P代表区域电网风电实际输出总功率。
说 明 书 Where: n represents the number of grid-connected wind farms in the regional grid, indicating the actual output power of the single wind farm, and P represents the actual output of the wind power of the regional grid. Instruction manual
3 ) 从区域电网数据釆集与监控系统中釆集区域电网 ACE 波 动数据。 3) Collecting regional ACE volatility data from regional grid data collection and monitoring systems.
4 ) 根据当前时刻风电实际总功率， 当前时刻之后最临近的风 电预测总功率， 计算出分析时刻预测风电功率波动： 4) According to the actual total power of wind power at the current moment, the nearest wind power forecasted after the current time, calculate the wind power fluctuations at the analysis time:
'二 ( Δ„ ) '二( Δ„ )
At At
式中： Δί表示当前时刻距最临近风电预测总功率的时长， Δί '表示当前时刻 巨分析时刻的时长， Ρ。表示当前时刻风 电实际总功率， Ρ'Δί表示 Δί时刻风电预测总功率， Δ 'Δί,表 示分析时刻预测风电功率波动。 Where: Δί indicates the duration of the current time from the nearest wind power forecasting, and Δί ' indicates the duration of the giant analysis time at the current time, Ρ. Indicates the actual total wind power at the current moment, Ρ' Δί indicates the total power predicted by wind power at Δί , Δ ' Δί , indicating that the wind power fluctuation is predicted at the analysis time.
5 ) 根据当前时刻 ACE 波动， 分析时刻预测风电功率波动预 测， 计算得出分析时刻预测 ACE波动： 式中： ^,表示分析时刻预测 ACE波动， C 。表示当 前时刻 ACE波动， Δ 'Αί,表示分析时刻预测风电功率波动。 6 ) 将计算出的分析时刻预测 ACE波动 ACEAt,与 ACE波动阈 值比较， 若超出阈值， 则做出预警。 5) According to the current ACE fluctuation, analyze the wind power fluctuation forecast at the moment, and calculate the ACE fluctuation in the analysis time: where: ^, indicating the analysis time to predict ACE fluctuation, C. Indicates the current time ACE fluctuation, Δ ' Αί , indicating that the analysis time predicts wind power fluctuations. 6) The calculated analysis time prediction ACE fluctuation ACE At is compared with the ACE fluctuation threshold, and if the threshold is exceeded, an early warning is made.
本发明的有益效果在于 , 提供的分析风电场输出功率波动对电网 影响的方法， 基于区域电网风电实际功率数据， 结合区域电网内单风 电场风电功率预测数据， 区域电网 ACE波动数据， 提供量化分析方 法， 分析风电场输出功率波动对电网的影响。 其核心在于综合风电功 率预测技术与 SCADA技术， 预警风电功率波动对电网的影响， 为风 电大规模并网接入及调度提供依据， 有助于提高绿色能源的利用效
说 明 书 The invention has the beneficial effects of providing a method for analyzing the influence of the output power fluctuation of the wind farm on the power grid, based on the actual power data of the regional power grid wind power, combining the wind power power prediction data of the single wind farm in the regional power grid, and the ACE fluctuation data of the regional power grid to provide quantitative analysis. The method analyzes the influence of wind farm output power fluctuation on the power grid. The core lies in the integrated wind power prediction technology and SCADA technology, and the impact of early warning wind power fluctuation on the power grid, which provides a basis for large-scale grid connection and dispatch of wind power, which helps to improve the utilization of green energy. Description
率， 具有显著的经济效益和社会效益。 Rate, with significant economic and social benefits.
附图说明 DRAWINGS
图 1是本发明流程图。 Figure 1 is a flow chart of the present invention.
具体实施方式 detailed description
本发明的分析风电场输出功率波动对电网影响的方法主要在于 量化分析区域风电输出功率波动对区域电网 ACE波动的影响， 由三 个环节构成： 基础数据釆集、 计算、 比较限值， 预警， 流程如图 1所 示。 The method for analyzing the influence of the output power fluctuation of the wind farm on the power grid mainly lies in quantitatively analyzing the influence of the regional wind power output power fluctuation on the ACE fluctuation of the regional power grid, which is composed of three links: basic data collection, calculation, comparison limit, early warning, The process is shown in Figure 1.
1 ) 基础数据采集 1) Basic data collection
Stepl:从华北电网各并网风电场风电预测系统中采集各并网风电 场预测功率 '， 如 2010年 12月 01 日 00时至 12时华北电网某 两个风电场预测功率。 Stepl: Collect the predicted power of each grid-connected wind farm from the wind power forecasting system of each grid-connected wind farm in North China Power Grid, such as the predicted power of two wind farms in North China Power Grid from December 1, 2010 to 00 pm.
Step2: 根据时间进行整编， 相同时间点的风电场预测功率求和， 根据公式 Step2: According to the time, the wind power is predicted at the same time point, and according to the formula
P，二 f ， P, two f,
i=\ i=\
计算得出华北电网风电预测总功率尸'， 如 2010年 12月 01 曰华 北电网风电预测总功率数据。 Calculate the total power of wind power forecasted by North China Power Grid, such as December 2010. 曰 North China Power Grid Wind Power Forecast Total Power Data.
Step3: 采集华北电网内各并网风电场实际输出功率 如 2010 年 12月 01 日 08时 00分至 48分华北电网某两个风电场实际输 出功率。 Step3: Collect the actual output power of each connected wind farm in North China Power Grid. For example, on December 01, 2010, from 08:00 to 48 minutes, the actual output power of two wind farms in North China Power Grid.
Step4: 根据时间进行整编， 相同时间点的各并网风电场实际输出 功率求和， 根据公式
说 明 书
Step4: According to the time, the actual output power of each connected wind farm at the same time point is summed according to the formula. Description
计算得出华北电网风电实际总输出功率 Z5, 如 2010年 12 月 01 日 08时 00分至 48分华北电网风电实际总输出功率数据。 Calculate the actual total output power Z 5 of wind power in North China Power Grid. For example, on December 1, 2010, from 08:00 to 48 minutes, the actual total output power data of wind power in North China Power Grid.
Step5: 采集华北电网 ACE波动数据， 如 2010年 12月 01 日 08 时 00分至 30分华北电网 ACE波动数据。 Step5: Collect ACE fluctuation data of North China Power Grid, such as ACE fluctuation data of North China Power Grid from 08:00 to 30 minutes on December 01, 2010.
2) 计算 2) Calculation
Stepl: 取当前时刻为 2010年 12月 01 日 08时 30分， 该时刻华 北电网风电实际总功率 。为 3724MW, 与该时刻最临近的华北电 网风电预测总功率 为 2010 年 12 月 01 日 08 时 45 分的 3920MW, 则 为 15min， 取分析时刻为 2010年 12月 01 日 08 时 31分， 则 Δί'为 lmin, 根据公式： Stepl: Take the current time as 08:30 on December 01, 2010, the actual total power of wind power in North China Power Grid at that time. For 3724MW, the total predicted wind power of North China Power Grid, which is closest to the moment, is 3920MW at 08:45 on December 01, 2010, which is 15min. The analysis time is 08:31 on December 01, 2010, then Δί 'for lmin, according to the formula:
Δ^'Δ, =^'Λ -^Ο)' Δ^' Δ , =^'Λ -^Ο)'
At At
计算得出 Δ '时刻预测预测风电功率波动 ΔΡ'Δί,为 13.07MW。 It is calculated that the Δ 'time prediction predicts wind power fluctuation ΔΡ ' Δί , which is 13.07 MW.
Step2: 取当前时刻为 2010年 12月 01 日 08时 30分， 该时刻华 北电网 ACE波动为 24MW, 根据公式： Step2: Take the current time as 08:30 on December 01, 2010. At this time, the ACE fluctuation of the North China Power Grid is 24MW, according to the formula:
ACE^=ACEQ+AP , ACE^=ACE Q +AP ,
计算得出 Δί'时刻预测 ACE波动 ACEAt,为 37.07MW。 It is calculated that the Δί' time predicts the ACE fluctuation ACE At , which is 37.07 MW.
3) 比较限值， 预警 3) Comparison limit, warning
Stepl: 取当前时刻为 2010年 12月 1 曰 08时 30分， 分析时刻为 2010年 12月 01 日 08时 31分， 计算得出分析时刻预测 ACE波 动 为 37.07MW, 与 ACE波动阈值 30MW比较， ACE波动
说 明 书 Stepl: Take the current time as December 1, 2010 and 08:30, and analyze the time as 08:31 on December 1, 2010. Calculate the analysis time to predict the ACE fluctuation to 37.07MW, compared with the ACE fluctuation threshold of 30MW. ACE fluctuations Description
越阈值 7.07MW， 做出预警。 The threshold is 7.07MW, and an early warning is made.
按照上述流程， 2010年 12月 1 日 08时 30时， 华北电网值班调 度员可以根据风电功率波动可能引起 08时 31分京津唐 ACE波动越 阈值 7.07MW及时做出反应， 调整其他类型电源运行方式， 避免风电 功率波动对电网安全稳定运行造成不利影响。
According to the above process, at 08:30 on December 1, 2010, the North China Power Grid dispatch dispatcher can respond to the wind power fluctuations at 08:31, the Beijing-Tianjin-Tang ACE fluctuation threshold of 7.07MW, and adjust other types of power supply. Ways to avoid fluctuations in wind power power adversely affect the safe and stable operation of the grid.
Claims
1.一种分析风电场输出功率波动对电网影响的方法， 其特征在于， 包括以下 步骤： A method for analyzing the influence of fluctuations in output power of a wind farm on a power grid, comprising the steps of:
1 ) 从区域电网各并网风电场风电预测系统中采集各并网风电场预测功 率， 根据时间进行整编， 相同时间点的风电场预测功率求和， 通过 公式 = 计算得出区域电网风电预测总功率， 式中： n表示区 1) Collecting the predicted power of each connected wind farm from the wind power forecasting system of each grid-connected wind farm in the regional power grid, reorganizing according to the time, summing the predicted power of the wind farm at the same time point, and calculating the total wind power forecast of the regional power grid by formula = Power, where: n represents the zone
;=1 ;=1
域电网各并网风电场数， 表示单风电场预测功率， 表示区域电 网风电预测总功率； The number of grid-connected wind farms in the local grid, indicating the predicted power of the single wind farm, indicating the total power of the regional grid wind power forecast;
2 ) 从区域电网数据釆集与监控系统中釆集区域电网各并网风电场实际 输出功率， 根据时间进行整编， 相同时间点的风电场实际输出功率 求和， 通过公式 P = 计算得出区域电网风电实际输出总功率， 式 中： n表示区域电网各并网风电场数， 表示单风电场实际输出功率， P代表区域电网风电实际输出总功率； 3 ) 从区域电网数据采集与监控系统中采集区域电网 ACE波动数据； 根据当前时刻区域电网风电实际输出总功率， 当前时刻之后最临近 的区域电网风电预测总功率，通过公式 ΔΤΔί, = ^(Ρ'Δί- Ρ。）计算出分 2) Collecting the actual output power of each grid-connected wind farm of the regional power grid from the regional grid data collection and monitoring system, reorganizing according to the time, summing the actual output power of the wind farm at the same time point, and calculating the area by formula P = The actual output power of the grid wind power, where: n represents the number of grid-connected wind farms in the regional grid, which represents the actual output power of the single wind farm, and P represents the actual output of the wind power of the regional grid; 3) From the regional grid data acquisition and monitoring system Collecting regional ACE fluctuation data; According to the current total power output of the regional grid wind power, the total power of the nearest regional grid wind power after the current time is calculated by the formula ΔΤ Δί , = ^(Ρ' Δί - Ρ.)
At 析时刻预测风电功率波动， 式中： Δί表示当前时刻距最临近风电预 测总功率的时长， Δί'表示当前时刻距分析时刻的时长， J>。表示当前 时刻风电实际总功率， Ρ'Δί表示 Δί时刻风电预测总功率， Δ ,表示 分析时刻预测风电功率波动； 其中， Δί'<Δί ; 4 ) 根据当前时刻 ACE 波动， 分析时刻预测风电功率波动预测， 通过公 式 C A = C¾ + AP'A,,计算得出分析时刻预测 ACE 波动， 式中： 权 利 要 求 书At time, the wind power fluctuation is predicted, where: Δί indicates the duration of the current time from the nearest wind power forecasting, and Δί' indicates the duration of the current time from the analysis time, J>. Indicates the actual total power of wind power at the current moment, Ρ' Δί indicates the total power predicted by wind power at Δί, Δ , indicating the wind power fluctuation of the analysis time; Δί'<Δί ; 4 ) The wind power fluctuation is analyzed according to the current time ACE fluctuation Predict, by the formula C A = C3⁄4 + AP' A , calculate the analysis time to predict ACE fluctuations, where: Claim
C Ai，表示分析时刻预测 ACE波动， 。表示当前时刻 ACE波动， AP 'Δί,表示分析时刻预测风电功率波动； C Ai , which indicates that the analysis time predicts ACE fluctuations. Indicates that the current time ACE fluctuations, AP ' Δί , indicates that the analysis time predicts wind power fluctuations;
) 将计算出的分析时刻预测 ACE波动 ACEAt,与 ACE波动阈值比较， 若 超出阈值， 则做出预警。 The calculated analysis time is predicted to predict the ACE fluctuation ACE At , which is compared with the ACE fluctuation threshold, and if the threshold is exceeded, an early warning is made.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103683280A (en) * | 2013-11-08 | 2014-03-26 | 天津大学 | Additional emergency control method for security and stability of large power grid |
| US9709035B2 (en) | 2014-09-03 | 2017-07-18 | General Electric Company | System and method for regulating power in a wind farm |
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Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102063575B (en) * | 2011-01-01 | 2013-01-02 | 国网电力科学研究院 | Method for analyzing influence of output power fluctuation of wind farm on power grid |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101764413A (en) * | 2009-11-25 | 2010-06-30 | 中国电力科学研究院 | System simulation method for connecting large-scale wind power into power grid in centralization way |
| CN101814743A (en) * | 2010-01-12 | 2010-08-25 | 福建省电力有限公司福州电业局 | Wind power integration on-line safety early warning system based on short-term wind power prediction |
| CN101841163A (en) * | 2010-03-15 | 2010-09-22 | 三一电气有限责任公司 | Grid-connected wind-light combined power generation system and power generation method thereof |
| US20100299550A1 (en) * | 2009-05-25 | 2010-11-25 | John Bengtson | Two Global Precise Times For Synchronization |
| CN102063575A (en) * | 2011-01-01 | 2011-05-18 | 国网电力科学研究院 | Method for analyzing influence of output power fluctuation of wind farm on power grid |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101726663B (en) * | 2008-10-30 | 2012-02-22 | 华北电力科学研究院有限责任公司 | Method and system for monitoring user-side harmonic pollution |
| CN101738551B (en) * | 2009-12-15 | 2011-12-21 | 西南交通大学 | Method for intelligent analysis of transient power quality disturbance based on networking |
-
2011
- 2011-01-01 CN CN2011100000031A patent/CN102063575B/en active Active
- 2011-08-31 WO PCT/CN2011/079147 patent/WO2012088915A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100299550A1 (en) * | 2009-05-25 | 2010-11-25 | John Bengtson | Two Global Precise Times For Synchronization |
| CN101764413A (en) * | 2009-11-25 | 2010-06-30 | 中国电力科学研究院 | System simulation method for connecting large-scale wind power into power grid in centralization way |
| CN101814743A (en) * | 2010-01-12 | 2010-08-25 | 福建省电力有限公司福州电业局 | Wind power integration on-line safety early warning system based on short-term wind power prediction |
| CN101841163A (en) * | 2010-03-15 | 2010-09-22 | 三一电气有限责任公司 | Grid-connected wind-light combined power generation system and power generation method thereof |
| CN102063575A (en) * | 2011-01-01 | 2011-05-18 | 国网电力科学研究院 | Method for analyzing influence of output power fluctuation of wind farm on power grid |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103683280A (en) * | 2013-11-08 | 2014-03-26 | 天津大学 | Additional emergency control method for security and stability of large power grid |
| US9709035B2 (en) | 2014-09-03 | 2017-07-18 | General Electric Company | System and method for regulating power in a wind farm |
| CN110210675A (en) * | 2019-06-06 | 2019-09-06 | 国网湖南省电力有限公司 | The prediction technique and system of wind power plant mid-term power based on local dynamic similarity |
| CN110210675B (en) * | 2019-06-06 | 2023-07-18 | 国网湖南省电力有限公司 | Prediction method and system for mid-term power of wind farm based on local power similarity |
| CN112564132A (en) * | 2020-12-15 | 2021-03-26 | 深圳供电局有限公司 | Wind power primary frequency modulation potential uncertainty modeling method |
| CN114139878A (en) * | 2021-11-08 | 2022-03-04 | 北京邮电大学 | Virtual power plant coordinated scheduling method and system and block chain application method |
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