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NB/T 10205-2019 English PDF

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NB/T 10205-2019: (Wind power forecasting technical regulations)
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Basic data

Standard ID: NB/T 10205-2019 (NB/T10205-2019)
Description (Translated English): (Wind power forecasting technical regulations)
Sector / Industry: Energy Industry Standard (Recommended)
Classification of Chinese Standard: F20
Word Count Estimation: 19,173
Date of Issue: 2019-06-04
Date of Implementation: 2019-10-01
Regulation (derived from): Natural Resources Department Announcement No. 7 of 2019
Issuing agency(ies): National Energy Administration

NB/T 10205-2019: (Wind power forecasting technical regulations)

---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
(Wind power forecasting technical regulations) NB ICS 29.020 F 20 Record number. ×××××-20×× Energy Industry Standards of the People's Republic of China NB / T 10205-2019 Replace NB / T 31043-2012 Technical Regulations for Wind Power Forecasting Technical rules for wind power forecasting Released on.2019-06-04 Implemented on.2019-10-01 Issued by the National Energy Administration NB / T 10205-2019 Technical Regulations on Wind Power Forecasting

1 Scope

This standard specifies the technical requirements for the input data, prediction content and model, prediction results and evaluation related to wind power prediction. This standard applies to wind power generated by wind farms, decentralized wind power, power dispatch agencies at all levels, and third-party forecasting technology service providers. Forecast jobs or services.

2 Normative references

The following documents are indispensable for the application of this standard. For dated reference documents, only the dated version is applicable to this standard. For undated reference documents, the latest version (including all amendments) is applicable to this standard. NB/T 31046 Functional Specification of Wind Power Forecasting System NB/T 31079 Wind power forecasting system wind tower data measurement technical requirements NB/T 31055 Guidelines for the Evaluation of Theoretical Power Generation and Abandoned Wind Power in Wind Farms

3 Terms and definitions

The following terms and definitions apply to this standard. 3.1 Wind farm It consists of a batch of wind turbines or wind turbine groups (including unit transformers), collection lines, main step-up transformers and other Power station consisting of equipment. 3.2 Numerical weather prediction NWP According to the actual conditions of the atmosphere, under certain initial and boundary value conditions, numerical calculations are done on a large computer to describe the evolution of the weather. The equations of fluid dynamics and thermodynamics of the process, a method to predict the state of atmospheric motion and weather phenomena in a certain period of time in the future. 3.3 Wind power forecasting Based on the historical power, historical wind speed, topography, numerical weather forecast data, and wind turbine operation of wind power in a certain area State and other data establish a prediction model of wind power output power, and use wind speed, power, numerical weather forecast and other data as the input of the model, and combine Wind farms or wind turbine equipment status and operating conditions in a certain area, predict the wind farm or wind power in a certain area for a period of time in the future Work power. 3.4 Short-term wind power forecasting Predict the active power of the wind farm or wind power in a certain area for the next 72 hours and above from zero o'clock the next day, with a time interval of no more than 15 minutes. 3.5 Ultra-short-term wind power forecasting Predict the active power of a wind farm or wind power in a certain area in the next 0 to 4 hours, with an interval of no more than 15 minutes. 3.6 NB / T 10205-2019 Time interval The duration between two adjacent observations or predictions. 3.7 Decentralized wind power It is connected to the voltage level of 35kV and below, and is located near the power load center. It is not for the purpose of large-scale long-distance power transmission. A wind power generation system that is connected to nearby electricity and is consumed in the distribution network. 3.8 Wind power forecasting model According to the existing historical statistical data, observation data and numerical weather forecast data, use certain mathematical methods to carry out scientific data processing It is a mathematical model that reveals the regular relationship between the future active power output of a wind farm or a wind turbine in a certain area, hereinafter referred to as "Predictive Model". 3.9 Wind farm theoretical power generation The active power that all operating wind turbines in a wind farm can generate under natural operation. 3.10 Single computing time Using the known input data, the prediction model performs a calculation to obtain the time required for the active power of the wind power for a period of time in the future. 3.11 Positive deviation during peak load During the peak load period, the predicted result of wind power is greater than the absolute value of the deviation of the measured result. 3.12 Negative deviation during valley load During the low load period, the wind power forecast result is less than the absolute value of the deviation of the actual measurement result. 3.13 Wind farm curtailment Wind turbines are shut down or reduced in output due to their own reasons or restrictions from external factors.

4 Basic requirements

4.1 The wind power forecasting system of a wind farm should have the capability of short-term wind power forecasting and ultra-short-term wind power forecasting. 4.2 The wind power forecasting system of the power dispatching agency should be able to predict the distributed wind power and wind farms in the dispatching jurisdiction to the entire dispatching jurisdiction The output power of wind power in the field should also be equipped to receive the data, evaluation and assessment, statistics and analysis and analysis reported by the wind power prediction system at the wind farm. Information release and other functions. 4.3 The wind power prediction system of the wind farm should meet the safety protection requirements of the power monitoring system, and the wind power power prediction of the power dispatch agency The system establishes a data interface and runs in the same safe area, and has the ability to automatically transmit the forecast results to the power dispatching agency in real time. 4.4 The function and performance of the wind power forecasting system shall meet the requirements of NB/T 31046. 4.5 Decentralized wind power projects in the same area can jointly carry out wind power forecasting, and the related decentralized wind power forecasts in the same area The technical requirements shall be implemented with reference to the relevant requirements for wind farms in this standard. 4.6 Wind farm power generation forecasting can also be undertaken by a third-party wind power forecasting technical service provider entrusted by the wind farm enterprise. For the third party The relevant technical requirements of the measurement technology service provider for the prediction of wind farm power generation shall be implemented with reference to the relevant requirements of this standard for wind farms.

5 Forecasting technology

NB / T 10205-2019 5.3.6 The prediction model should consider the impact of wind farm installation expansion on power generation capacity, and support the power prediction in the case of wind farm installation expansion. 5.3.7 The single calculation time of the ultra-short-term forecasting model should be no more than 5 minutes. 5.3.8 The ultra-short-term forecasting model shall roll out forecasts at least once every 15 minutes, and have online modeling and rolling correction capabilities. 5.3.9 Wind farm operators can manually modify the results obtained by the prediction model or manually combine multiple sets of prediction results. Strict authority management should be set up. 5.3.10 The forecast model should have the ability to estimate the error of the forecast curve. 5.4 Data reporting 5.4.1 The forecast result reported by the wind farm should include the forecast value and its corresponding time scale, the generation time of the forecast result, etc., and indicate the name of the wind farm, Identification information such as the result type. 5.4.2 All forecast results and data reported by wind farms should be in the form of text. 5.4.3 The reported data such as wind power forecast results, meteorological observation data, numerical weather forecast, and estimated start-up capacity shall be in accordance with national regulations. The unit of measurement should be specified in the document, the effective number of digits should meet the requirements of the power dispatching agency, and the wind power prediction result should be based on MW. Unit and keep two decimal places. 5.4.4 The wind farm shall automatically report the data for a total of 288 time periods from 0 to 72 hours every 15 minutes on the next day according to the time specified by the power dispatch agency. Wind farm short-term active power forecast results and estimated start-up capacity during the same period. 5.4.5 The wind farm shall automatically report to the power dispatching agency every 15 minutes the wind power for the next 0 to 4 hours every 15 minutes for a total of 16 time periods Field ultra-short-term active power prediction results and expected start-up capacity during the same period. 5.4.6 The wind farm shall automatically report the real-time meteorological observation data of the wind farm and the total capacity of the current start-up time to the power dispatching agency every 5 minutes. the amount. The real-time meteorological observation data should include at least the wind speed and wind speed at 10 meters, 30 meters, 50 meters, 70 meters above the ground and the height of the wind turbine hub. The average value of the observation data in the last 5 minutes, such as temperature, air pressure, and relative humidity at an elevation of 10 meters. 5.4.7 Wind farms shall automatically report to the following day 0 to 72 hours every 15 days according to the time specified by the power dispatching agency. Numerical weather forecast data for a total of 288 time periods in minutes. Numerical weather forecast data includes at least 10 meters, 70 meters, 100 meters, etc. above the ground Wind speed and wind direction at elevation and temperature, relative humidity, and air pressure at 10 meters elevation. 5.4.8 The data reporting time delay should be less than 5 minutes. 5.4.9 The wind farm shall report the forecast results, start-up capacity, and start-up capacity to the power dispatch agency through the non-controlled area (safe area II) of the power dispatch data network. Wind data and other data. 5.4.10 The data reporting format should adopt the power system data markup language (E text format) or extensible markup language (XML), E text format See Appendix C for the formula.

6 Evaluation of prediction results

6.1 Evaluation Index 6.1.1 The evaluation indicators of wind power forecast results include root mean square error, average absolute error, correlation coefficient, maximum forecast error, accuracy, Qualification rate and so on. The power dispatching agency should make statistics on the report rate of the forecast results submitted by the wind power site, the positive deviation rate of the load peak, and the negative deviation of the load valley. The prediction accuracy rate, the prediction accuracy rate of the high wind speed section, and the prediction accuracy rate of the low wind speed section are used as observation items for evaluating the impact of the prediction result on the power grid dispatching. Each of the above Refer to Appendix D for the calculation method of the indicator. 6.1.2 The monthly average accuracy rate, monthly average qualification rate, and monthly average reporting rate of wind farm generation power prediction results are used as the power dispatch agency’s assessment of wind power The evaluation index of the predicted level of field generation power. 6.1.3 The true value required for the calculation of the evaluation index of wind power prediction results is the actual output power of wind power. The actual output power of wind power is taken when each is evaluated The arithmetic average of the wind power output power data sampled in the segment, and the sampling interval should be no more than 1 minute. 6.1.4 The time period corresponding to the following situations will not participate in the evaluation of wind power forecast results. NB / T 10205-2019

Appendix A

(Normative appendix) Detailed requirements for the input data of the predictive model A.1 Basic information of wind farms Wind farm information includes the overview of the wind farm, the parameter information of each device in the wind farm, and the geographic information of the wind farm. A.1.1 Overview of wind farms include. a) The area of the wind farm and the average altitude of the area; b) The number of wind turbines and the number of meteorological measurement devices; c) The voltage level of the booster station and the name of the grid-connected line; d) Installed capacity of wind farms; e) Wind farm expansion time and corresponding capacity. A.1.2 The parameter information of each device in the wind farm includes. a) The manufacturer, unit type and model of the wind turbine, the single unit rated capacity, power curve, and hub of each type of unit The data interval of height, impeller diameter, cut-in and cut-out wind speed, thrust coefficient curve, power curve and thrust coefficient is not more than 1 m/s, every The time when the wind turbine was connected to the grid for the first time, the location of the wind turbine (east longitude, north latitude, and altitude), etc.; b) The installation location of the meteorological measurement device (east longitude, north latitude, and altitude) and the terrain information, device type, and measurement Measurement conditions and measurement accuracy, etc. Effective meteorological measurement devices include wind towers, ground/marine meteorological observatories and other boundary layer meteorological measurement devices Wait. The wind measuring equipment and temperature sensors installed outside the nacelle of the wind turbine can also be used as meteorological measuring devices. A.1.3 Geographical information of wind farms includes. a) The terrain data includes the description of the terrain changes within 10 kilometers outside the wind farm area. The format should be a CAD file, and the scale should not be It should be less than 1.5000; for offshore wind farms, the terrain data should include the terrain data on the coastline. b) For onshore wind farms, geographic information includes the grid where the wind farm is located as the center, and the wind power site is within 20 kilometers of the area 3 The roughness data of the ground surface (including land surface, vegetation and water surface) on a kilometer×3 kilometers grid shall be obtained through field survey or satellite The degree is based on the longest straight-line distance between the two wind turbines in the wind farm. For offshore wind farms, geographic information should include sea level roughness data. A.2 Historical operating data A.2.1 The historical operating data includes the historical record of the predicted target power, the historical record of the operating data of each equipment in the wind farm, and the operating conditions of the wind farm. The history of the situation, etc. The specific content includes. a) The historical record of predicted target power is generally the historical record of the total active power output of wind power in the predicted target area. For power dispatcher It also includes the historical record of the total active power output of wind power in the entire dispatching jurisdiction; b) Historical records of wind farm operation conditions, including records of faulty/non-faulty outages, start-up capacity, and curtailment records of all wind turbines on the site Etc., all status record data should contain the corresponding start and end time at the same time; c) The historical operating data of each wind turbine in the wind farm should include at least wind speed, wind direction, ambient temperature, nacelle position (yaw angle), Active power, reactive power, fan operating status and other information. A.2.2 The forecast objects that have been put into operation for more than 1 year should include not less than 1 year and continuous historical power data and their corresponding start-up capacity and limit. Electricity records and other data, the data time interval is not more than 5 minutes, and the average value is taken; wind farms that have been put into operation for less than one year should include all the There are historical power data and corresponding data such as power-on capacity and power limit records. The data time interval is not more than 5 minutes, and the average value is taken. A.2.3 When there is wind farm abandonment in part of the period corresponding to the historical operation data, the calculation method specified in NB/T 31055 shall be used to obtain the The theoretical wind power generation capacity is used as the input data of the prediction model. A.3 Real-time operating data Real-time operation data includes real-time power of the predicted target and real-time operation data of various equipment in the wind farm. The specific content includes. a) The real-time power of the predicted target is generally the real-time value of the total active power of wind power in the predicted target area. For power dispatch agencies, it also includes NB / T 10205-2019 The total real-time wind power output in the entire dispatching jurisdiction; b) The real-time operating data of each wind turbine in the wind farm should include at least the wind speed, wind direction, ambient temperature, and cabin position (yaw Angle), active power, reactive power, fan operating status (normal, fault, man-made shutdown, fault shutdown, power limit status) and other information; c) The collection period of real-time power data of the wind farm should be no more than 1 minute, and should be taken from the computer monitoring system of the booster station of the wind farm. The output data is the arithmetic average within 1 minute; d) The collection period of wind turbine real-time status data should be no more than 15 minutes, and the time delay should be less than 5 minutes. The degree data network is uploaded by the wind farm computer monitoring system. A.4 Boot capacity plan The start-up capacity plan data corresponding to the current forecast period should meet the following requirements. a) The time interval for the planned start-up capacity data of the wind farm should not be more than 15 minutes; b) When there is a change in the planned start-up capacity reported by the wind farm a few days ago, the latest planned start-up capacity shall be reported to the electric power within 15 minutes Dispatching agencies, wind farms and power dispatch agencies should carry out wind power forecasts based on the latest planned start-up capacity; c) When the wind turbine manufacturer, unit type and model of the wind farm are different, the planned start-up capacity data of the wind farm shall be The manufacturer, type and model of the unit are divided in detail. A.5 Numerical weather forecast data A.5.1 Numerical weather forecast data includes daily forecast data and historical forecast data. Daily forecast data refers to the operation of the wind power forecast system The numerical weather forecast results provided regularly every day; the historical forecast data is the calendar of the daily forecast data before the wind power forecasting system is put into operation. Historical records. A.5.2 The specific requirements for numerical weather forec......

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Question 1: How long will the true-PDF of NB/T 10205-2019_English be delivered?

Answer: Upon your order, we will start to translate NB/T 10205-2019_English as soon as possible, and keep you informed of the progress. The lead time is typically 2 ~ 4 working days. The lengthier the document the longer the lead time.

Question 2: Can I share the purchased PDF of NB/T 10205-2019_English with my colleagues?

Answer: Yes. The purchased PDF of NB/T 10205-2019_English will be deemed to be sold to your employer/organization who actually pays for it, including your colleagues and your employer's intranet.

Question 3: Does the price include tax/VAT?

Answer: Yes. Our tax invoice, downloaded/delivered in 9 seconds, includes all tax/VAT and complies with 100+ countries' tax regulations (tax exempted in 100+ countries) -- See Avoidance of Double Taxation Agreements (DTAs): List of DTAs signed between Singapore and 100+ countries

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