王稳稳,胡仁祥,马瑞,魏智慧,王小杰
WANG Wenwen,HU Renxiang,MA Rui,WEI Zhihui,WANG Xiaojie

• 1:国网吐鲁番供电公司

摘要(Abstract)：

为分析吐鲁番地区典型风能特性，以最具代表性的三十里风区和百里风区的风能为研究对象，以2021年典型风区风机70 m测风塔数据为基础，对比分析典型风区风能参数变化情况。分析结果表明：不论风季还是枯风季，平均风速、风功率密度及典型负荷日曲线变化趋势一致；2021年风能参数呈现倒V形分布，五六月份达到最大值；风季和枯风季出现最高和最低日负荷的时间存在偏差；三十里风区和百里风区的风速概率分布和盛行风向存在较大差异。通过现场调研发现，分析结果与实际情况相吻合。
In order to analyze the typical wind energy characteristics of Turpan, the most representative wind energy in wind area of 30 miles and 100 miles is taken as the research object. Based on the data of 70 m anemometer tower in typical wind area, variation conditions of wind energy parameters in typical wind area are compared and analyzed. The results show that the variation trend of average wind speed, wind power density and typical daily load curve is consistent no matter in windy season or dry season. In 2021, the wind energy parameters are distributed in an inverted V-shape,maximizing in May and June. The maximum daily load and minimum daily load appear time deviation in wind season and dry season. There is a deviation between the maximum and minimum daily load in the windy season and withered windy season. There are greater differences in the wind speed probability distribution and prevailing wind direction between wind areas 30 mile and 100 miles. By means of field investigation, it is discovered that the analysis results are consistent with the actual situations.

关键词(KeyWords)： 风能特性;平均风速;风功率密度;典型日负荷
wind energy characteristics;average wind velocity;wind power density;typical daily load

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 王稳稳,胡仁祥,马瑞,魏智慧,王小杰
WANG Wenwen,HU Renxiang,MA Rui,WEI Zhihui,WANG Xiaojie

参考文献(References)：

• [1]石佳.绿电冬奥之旅用张北的风点亮北京的灯[J].华北电业，2022(2):20-25.
• [2]黄思维，舒印彪.构建以新能源为主的新型电力系统[J].高科技与产业化，2022,28(1):16-19.HUANG Siwei, SHU Yinbiao. Building a New Power System Based on New Energy[J]. High-Technology&Industrialization, 2022, 28(1):16-19.
• [3]姜红丽，刘羽茜，冯一铭，等，碳达峰、碳中和背景下“十四五”时期发电技术趋势分析[J].发电技术，2022,43(1):54-64.JIANG Hongli, LIU Yuxi, FENG Yiming, et al. Analysis of Power Generation Technology Trend in 14th FiveYear Plan Under the Background of Carbon Peak and Carbon Neutrality[J]. Power Generation Technology,2022, 43(1):54-64.
• [4]陈国平，梁志峰，董昱.基于能源转型的中国特色电力市场建设的分析与思考[J].中国电机工程学报，2020,40(2):369-379.CHEN Guoping, LIANG Zhifeng, DONG Yu. Analysis and Reflection on the Marketization Construction of Electric Power With Chinese Characteristics Based on Energy Transformation[J]. Proceedings of the CSEE,2020, 40(2):369-379.
• [5]张明.风力发电及其技术发展探讨[J].中国设备工程，2022(4):200-201.ZHANG Ming. Discussion on wind power generation and its technology development[J]. China Plant Engineering, 2022(4):200-201.
• [6]刘纯，屈姬贤，石文辉.基于随机生产模拟的新能源消纳能力评估方法[J].中国电机工程学报，2020,40(10):3134-3144.LIU Chun, QU Jixian, SHI Wenhui. Evaluating Method of Ability of Accommodating Renewable Energy Based on Probabilistic Production Simulation[J]. Proceedings of the CSEE, 2020, 40(10):3134-3144.
• [7]孙川永，彭友兵，东琦，等.陕北典型风能特性分析[J].电网与清洁能源，2021,37(12):110-115,122.SUN Chuanyong, PENG Youbing, DONG Qi, et al. An Analysis of Typical Wind Energy Characteristics in Northern Shaanxi[J]. Advances of Power System&Hydroelectric Engineering, 2021, 37(12):110-115, 122.
• [8]中国国家标准化管理委员会.风电场风能资源评估方法：GB/T 18710—2002[S].北京：中国标准出版社，2002.
• [9]国家电网有限公司.风力发电资源数据审核与定正方法：Q/GDW 12054—2020[S].北京：中国电力出版社，2020.
• [10]叶林，陈小雨，靳晶新，等.考虑风功率密度和风向特征的风能资源MCP评估方法[J].电力系统自动化，2019,43(3):24-32.YE Lin, CHEN Xiaoyu, JIN Jingxin, et al. MeasureCorrelate-Predict Assessment Method of Wind Energy Resource Considering Wind Power Density and Wind Direction[J]. Automation of Electric Power Systems,2019, 43(3):24-32.
• [11]苗昊泽予.多套再分析及CMIP6模式资料中的北半球地面风速和风功率密度的评估[D].成都：成都信息工程大学，2020.
• [12]靳晶新，叶林，陆佳政，等.融合多维气象信息的风能资源评估方法[J].高电压技术，2022,48(2):477-487.JIN Jingxin, YE Lin, LU Jiazheng, et al. Combined Method for Wind Energy Resource Assessment Considering Multi-dimensional Meteorological Information[J].High Voltage Engineering, 2022, 48(2):477-487.
• [13]叶林，饶日晟，杨丹萍，等.基于波动互相关系数的风能资源评估组合模型[J].中国电机工程学报，2017,37(3):712-720.YE Lin, RAO Risheng, YANG Danping, et al. A Combined Wind Resource Assessment Model Based on Fluctuation Cross-Correlation Coefficient[J]. Proceedings of the CSEE, 2017, 37(3):712-720.
• [14]李薇，龚奂彰，时利香，等.基于区域气候模式的内蒙古地区风能资源预测[J].电网技术，2020,44(11):4318-4327.LI Wei, GONG Huanzhang, SHI Lixiang, et al. Prediction and Evaluation of Wind Energy Resource in Inner Mongolia Based on Regional Climate Models[J].Power System Technology, 2020, 44(11):4318-4327.
• [15]赵冬梅，王浩翔，陶然.计及风电-负荷不确定性的风-火-核-碳捕集多源协调优化调度[J].电工技术学报，2022,37(3):707-718.ZHAO Dongmei, WANG Haoxiang, TAO Ran. A Multi-Source Coordinated Optimal Scheduling Model Considering Wind-Load Uncertainty[J]. Transactions of China Electrotechnical Society, 2022, 37(3):707-718.
• [16]祁永福，戴扬宇，陈煌.风电并网对海南电网系统稳态影响的研究[J].机电工程技术，2017,46(12):134-139.QI Yongfu, DAI Yangyu, CHEN Huang. Study on the Influence of Wind Power Integration on the Steady State of Hainan Power Grid[J]. Mechanical&Electrical Engineering Technology, 2017, 46(12):134-139.
• [17]杨天蒙，吉星，白坚实，等.考虑风电-负荷相关性的含大规模风电并网电力系统中火电深度调峰运行优化[J].东北电力技术，2020,41(11):30-35.YANG Tianmeng, JI Xing, BAI Jianshi, et al. Optimal Deep Peak Regulation of Thermal Power Units in Power System With Large Scale Wind Power Considering Wind Power-Load Correlation[J]. Northeast Electric Power Technology, 2020, 41(11):30-35.
• [18]沈洪明，刘艳贵，吴泽华，等.陆上风电工程造价和运行成本的分析与探讨[J].浙江电力，2020,39(9):118-122.SHEN Hongming, LIU Yangui, WU Zehua, et al.Analysis and Discussion of Engineering Cost and Operation Cost of Onshore Wind Power Projects[J]. Zhejiang Electric Power, 2020, 39(9):118-122.
• [19]时建锋，赵贯超，李琼梅.风电参与调频后的切机效果影响研究[J].云南电力技术，2018,46(1):35-40.SHI jianfeng, ZHAO Guanchao, LI Qiongmei. Research on the impact of generator tripping considering wind power participating in frequency regulation[J].Yunnan Electric Power Technology, 2018, 46(1):35-40.
• [20]张国斌，李瑞连，刘永江，等.火电机组灵活性改造对风电消纳能力的影响分析[J].内蒙古电力技术，2020,38(4):93-96.ZHANG Guobin, LI Ruilian, LIU Yongjiang, et al. Influence Analysis of Wind Power Consumption Ability by Thermal Power Unit Flexiblility Transformation[J].Inner Mongolia Electric Power, 2020, 38(4):93-96.
• [21]周姝灿，唐俊熙.风电、储能参与系统调频的协调控制策略研究[J].机电工程技术，2017,46(11):31-35.ZHOU Shucan, TANG Junxi. Research on Coordinated Control Strategy of Wind Power and Energy Storage in System Frequency Regulation[J]. Mechanical&Electrical Engineering Technology, 2017, 46(11):31-35.
• [22]张娜，张子信，宋卓然，等.辽宁风电消纳及其他电源对风电消纳影响分析[J].东北电力技术，2017,38(5):29-32.ZHANG Na, ZHANG Zixin, SONG Zhuoran, et al.Wind Power Absorption and Influence of Other Power Sources in Liaoning[J]. Northeast Electric Power Technology, 2017, 38(5):29-32.