水电与风电联合运行分析

doi:10.11930/j.issn.1004-9649.2013.8.85.4

中国电力 ›› 2013, Vol. 46 ›› Issue (8): 85-89.DOI: 10.11930/j.issn.1004-9649.2013.8.85.4

水电与风电联合运行分析

辛颂旭

国网能源研究院,北京 100052

收稿日期:2013-04-01 出版日期:2013-08-23 发布日期:2015-12-10
作者简介:辛颂旭（1982—）,男,河南南阳人,硕士,工程师,从事新能源并网分析等方面的研究。

Combined Operation Analysis of Hydropower and Wind Power

XIN Song-xu

State Grid Energy Research Institute, Beijing 100052, China

Received:2013-04-01 Online:2013-08-23 Published:2015-12-10

摘要/Abstract

摘要： 在中国风电发展十分迅速、弃风问题严重的情况下,近期需要进一步挖掘现有系统的调节能力。其中,促进水电与风电联合运行是有效措施之一。介绍了风电在日内和日间的有功出力变化特点,从电量分布特征、调节速度等方面分析了水电与风电联合运行的基础,进而研究了水电与风电在日内和日间联合运行的原理,及其对促进风电消纳、提高火电效率的作用。通过具体算例,分析了在是否考虑水电风电联合运行2种情况下,系统在风电消纳、火电煤耗、火电启停费用、系统燃料总消耗等方面的差异,验证了水电与风电联合运行的效益。

关键词: 水电, 风电, 联合运行

Abstract: Along with the rapid development of wind power in China in recent years, wind discarding problem is becoming increasingly serious. Further improving the regulating capacity of existing power systems is therefore needed. Combined operation of hydropower and wind power is one of the effective measures in the near future. In this paper, the intraday and inter-day output characteristics of wind power were introduced. On the basis of an analysis of the basis for combined operation of hydropower and wind power in terms of seasonal features and regulation speed, the combined operation principles of wind power and hydropower, and the benefits for promoting wind power accommodation and enhancing the efficiency of thermal power were studied. In order to compare the differences, two cases were designed. In one case the hydropower and wind power operated jointly, and in another case they operated separately. The differences of the two cases were analyzed in terms of wind power accommodation, coal consumption per kWh, thermal power start & stop cost, and the total fuel consumption. The results verified the benefits of the combined operation.

Key words: hydropower, wind power, combined operation

中图分类号:

TM715

辛颂旭. 水电与风电联合运行分析[J]. 中国电力, 2013, 46(8): 85-89.

XIN Song-xu. Combined Operation Analysis of Hydropower and Wind Power[J]. Electric Power, 2013, 46(8): 85-89.

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https://www.electricpower.com.cn/CN/Y2013/V46/I8/85

参考文献

[1] 李明节. 基于国际先进技术的风电调度研究与实践[J]. 中国电力,2012,45（11）：1-6.
LI Ming-jie. Research and practice of wind power dispatch based on international advanced experience [J]. Electric Power, 2012, 45(11): 1-6.
[2] 白建华,张钦,辛颂旭,等. 风电利用水平评价关键指标研究[J]. 中国电力,2012,45（11）：7-12.
BAI Jian-hua, ZHANG Qin, XIN Song-xu, et al . Research on key indexes comparison of wind power utilization level[J]. Electric Power, 2012, 45(11): 7-12.
[3] 重点区域风电消纳监管报告[R]. 北京：国家电力监管委员会, 2012.
[4] 张运洲,胡泊. “三北”地区风电开发、输送及消纳研究[J]. 中国电力,2012,45（9）：1-6.
ZHANG Yun-zhou, HU Bo. Study on wind power exploitation, transmission and accommodation in northern region of China [J]. Electric Power, 2012, 45(9): 1-6.
[5] 黄怡,张琳,刘建琴,等. 我国风电大规模集中并网的消纳市场和消纳策略[J]. 电力建设,2012,33（10）：9-12.
HUANG Yi, ZHANG Lin, LIU Jian-qin, et al . Consumption market and strategy of large scale centralized grid-Connection of wind power in China[J]. Electric Power Construction, 2012, 33(10): 9-12.
[6] RAHMAN S, PIPATTANASOMPORN M. 大规模风电接入对美国电力系统运行的影响和平抑策略[J]. 电力系统自动化,2011, 35（22）：3-11.
RAHMAN S, PIPATTANASOMPORN M. Operating impacts and mitigation strategies with large-scale wind power penetration in the united states [J]. Automation of Electric Power Systems, 2011, 35(22): 3-11.
[7] 辛颂旭,白建华,郭雁珩. 甘肃酒泉风电特性研究[J]. 能源技术经济,2010,22（12）：16-20.
XIN Song-xu, BAI Jian-hua, GUO Yan-heng. Study on wind power characteristics of jiuquan wind power base[J]. Energy Technology and Economice, 2010, 22(12): 16-20.
[8] 范高峰,裴哲义. 2011年中国“三北”地区风电并网运行及反事故措施[J]. 中国电力,2012,45（12）：86-90.
FAN Gao-feng, PEI Zhe-yi. Wind power integrated operation and anti-accident measures in the northern China in 2011[J]. Electric Power, 2012, 45(12): 86-90.

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水电与风电联合运行分析

Combined Operation Analysis of Hydropower and Wind Power

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Combined Operation Analysis of Hydropower and Wind Power

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