多时空尺度风电消纳体系初探

近年来中国风电产业迅速发展，但由于风电所具有的不确定性、随机性与波动性，其并网消纳问题成为了制约风电可持续发展的瓶颈。以国家即将出台的可再生能源配额制政策为指导，提出了一套多时空尺度风电消纳体系，在空间层面考虑了省级、区域级、国家级等不同等级的电网消纳主体，在时间层面考虑了中长期、短期、实时等不同尺度的消纳需求。该体系整合了各层面风电消纳技术、评估评价方法、市场机制与配套政策，使针对风电消纳所研发的技术与政策能够发挥出最佳 效用，实现风电消纳过程的良性运作，最终实现风能资源的高效利用。...

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Bibliographic Details
Published in电力系统保护与控制 Vol. 41; no. 1; pp. 28 - 32
Main Author 徐乾耀 康重庆 江长明 陈之栩 刘军
Format Journal Article
LanguageChinese
Published 电力系统及发电设备控制和仿真国家重点实验室清华大学电机系,北京 100084%国家电网华北电力调控分中心,北京 100053 2013
Subjects
多时空尺度消纳体系
市场机制
配套政策
风电消纳决策
风电消纳能力评估
decision of wind power accommodation
市场机制
market mechanism
多时空尺度消纳体系
风电消纳能力评估
风电消纳决策
multiple temporal and spatial scale
配套政策
wind power accommodation system
supporting policies
evaluation of the wind power accommodation capability
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Summary:近年来中国风电产业迅速发展，但由于风电所具有的不确定性、随机性与波动性，其并网消纳问题成为了制约风电可持续发展的瓶颈。以国家即将出台的可再生能源配额制政策为指导，提出了一套多时空尺度风电消纳体系，在空间层面考虑了省级、区域级、国家级等不同等级的电网消纳主体，在时间层面考虑了中长期、短期、实时等不同尺度的消纳需求。该体系整合了各层面风电消纳技术、评估评价方法、市场机制与配套政策，使针对风电消纳所研发的技术与政策能够发挥出最佳 效用，实现风电消纳过程的良性运作，最终实现风能资源的高效利用。
Bibliography:41-1401/TM
XU Qian-yao, KANG Chong-qing, JIANG Chang-ming, CHEN Zhi-xu, LIU Jun （1. State Key Lab of Power Systems, Dept of Electrical Engineering, Tsinghua University, Beijing100084, China; 2. Power Control Center of North China in State Grid, Beijing 100053, China）
In recent years, the wind power industry of China has a rapid development. However, due to the uncertainty, randomness and fluctuation nature of wind power, the problem of its integration and accommodation has become the bottleneck of its sustainable development. Guided by the Renewable Portfolio Standard （RPS） that China government will promulgate, this paper proposes a wind power accommodation system from multiple temporal and spatial scale perspective. This system takes into account different levels of accommodation undertakers that involve province level, region level and nation level in the spatial dimension, and different accommodation demands of long-term, short-term and real-time scale in the temporal dimension. Moreover, this system combin
ISSN:1674-3415