新能源消纳影响因素的贡献度评估模型

doi:10.11930/j.issn.1004-9649.201803026

中国电力 ›› 2018, Vol. 51 ›› Issue (11): 125-131.DOI: 10.11930/j.issn.1004-9649.201803026

新能源消纳影响因素的贡献度评估模型

谢国辉¹, 栾凤奎², 李娜娜¹, 王卿然³

1. 国网能源研究院有限公司, 北京 102209;
2. 国家电网有限公司, 北京 100031;
3. 国网新源控股有限公司, 北京 100761

收稿日期:2018-03-06 修回日期:2018-06-06 出版日期:2018-11-05 发布日期:2018-11-16
作者简介:谢国辉(1981-),男,博士,从事新能源发展规划、政策分析、新能源并网运行的理论和方法等方面研究,E-mail:xieguohui@sgeri.sgcc.com.cn
基金资助:
国家电网公司总部科技项目资助（风电、光伏发电消纳状况评估和预警关键技术研究和应用）。

Contribution Evaluating Model for the New Energy Accommodation Influencing Factors

XIE Guohui¹, LUAN Fengkui², LI Nana¹, WANG Qingran³

1. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China;
2. State Grid Corporation of China, Beijing 100031, China;
3. State Grid Xinyuan Company LTD, Beijing 100761, China

Received:2018-03-06 Revised:2018-06-06 Online:2018-11-05 Published:2018-11-16
Supported by:
This work is supported by Science and Technology Project of State Grid Corporation of China (Study on Key Technology and Application of Status Evaluation and Warning of Wind and PV Power Consumption).

摘要/Abstract

摘要： 准确评估新能源消纳影响因素的贡献度是制定新能源消纳解决措施的重要依据之一。总结2017年中国新能源消纳取得的成就，从源、网、荷、市场机制等方面分析影响新能源消纳的主要因素，将影响因素进行量化建模，建立基于时序生产模拟的新能源消纳影响因素的贡献度评估模型。以甘肃电网风电消纳为案例，评估2017年各种影响因素促进风电消纳的贡献度。分析表明，在负荷增长、跨区外送、省间电量交换、备用容量共享、省内断面能力提升、自备电厂替代交易等多种因素的共同作用下，2017年甘肃风电消纳状况明显改善，其中负荷增长的贡献度最大，其次是跨区外送和备用容量共享。

关键词: 新能源消纳, 弃风弃光, 贡献度评估, 时序生产模拟

Abstract: Evaluating the contributions of the new energy accommodation influencing factors of is one of the most important issues to improve the current consumption status. This paper summarized the current achievements of China new energy accommodation in 2017, analyzed the major influencing factors of new energy accommodation from the perspectives of power mix, power grid, load and market mechanism. The influencing factors contribution evaluating model was established based on chronological production simulation. Taking Gansu wind power accommodation as an example, the contribution of various factors to promote wind power consumption was studied. The results showed that, Gansu wind power accommodation had great achievements with the joint efforts of all factors, including power load increase, cross-district deliberating, generation exchange different provinces, power reverse capacity shared, captive plant exchange trade and so on. The largest contribution was the power load increment and followed by cross-district deliberating and power reverse capacity shared.

Key words: new energy accommodation, wind and photovoltaic curtailment, contribution evaluating, chronological production simulation

中图分类号:

TM715

谢国辉, 栾凤奎, 李娜娜, 王卿然. 新能源消纳影响因素的贡献度评估模型[J]. 中国电力, 2018, 51(11): 125-131.

XIE Guohui, LUAN Fengkui, LI Nana, WANG Qingran. Contribution Evaluating Model for the New Energy Accommodation Influencing Factors[J]. Electric Power, 2018, 51(11): 125-131.

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https://www.electricpower.com.cn/CN/Y2018/V51/I11/125

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新能源消纳影响因素的贡献度评估模型

Contribution Evaluating Model for the New Energy Accommodation Influencing Factors

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新能源消纳影响因素的贡献度评估模型

Contribution Evaluating Model for the New Energy Accommodation Influencing Factors

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