促进风电消纳的发电权交易优化方法

doi:10.11930/j.issn.1004-9649.201907189

中国电力 ›› 2020, Vol. 53 ›› Issue (3): 167-176.DOI: 10.11930/j.issn.1004-9649.201907189

促进风电消纳的发电权交易优化方法

徐昊亮¹, 靳攀润¹, 姜继恒², 鲁宗相², 乔颖²

1. 国网甘肃省电力公司经济技术研究院, 甘肃兰州 730050;
2. 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

收稿日期:2019-07-23 修回日期:2019-09-05 发布日期:2020-03-10
通讯作者: 姜继恒(1994-),男,通信作者,博士研究生,从事电力系统规划研究,E-mail:jiheng1020@163.com
作者简介:徐昊亮(1981-),男,硕士,高级工程师,从事电力系统自动化、电网智能化规划等方面研究,E-mail:17523016@qq.com;靳攀润(1985-),男,硕士,高级工程师,从事电力系统继电保护、智能电网规划应用等相关研究,E-mail:pf1091@163.com;鲁宗相(1974-),男,博士,副教授,从事风电/太阳能发电并网分析与控制、能源与电力宏观规划、电力系统可靠性、分布式电源及微电网研究,E-mail:luzongxiang98@tsinghua.edu.cn;乔颖(1981-),女,博士,副研究员,从事新能源、分布式发电、电力系统安全与控制研究,E-mail:qiaoying@tsinghua.edu.cn
基金资助:
国网甘肃电力公司科技项目（SGGSJY00PSWT1700272）；国家重点研发计划资助项目（2017YFB0902200）

Optimization Method of Generation Rights Transaction Mechanism for Power System Accommodation Improvement

XU Haoliang¹, JIN Panrun¹, JIANG Jiheng², LU Zongxiang², QIAO Ying²

1. State Grid Gansu Electric Power Company Economy and Technology Research Institute, Lanzhou 730050, China;
2. State Key Lab of Control and Simulation of Power Systems and Generation Equipment(Dept. of Electrical Engineering, Tsinghua University), Beijing 100084, China

Received:2019-07-23 Revised:2019-09-05 Published:2020-03-10
Supported by:
This work is supported by Science and Technology Project of State Grid Gansu Electric Power Company (No.SGGSJY00PSWT1700272), National Key R&D Program of China (No.2017YFB0902200)

摘要/Abstract

摘要： 在可再生能源消纳问题凸显背景下，可再生能源电源尤其是风电与自备电厂间的发电权交易是一种降低弃能、促进消纳的积极尝试。但是目前缺乏对发电权交易机制促进可再生能源消纳效果的中长期评价与优化工具。提出了基于随机生产模拟的发电权交易促进风电消纳效果的快速定量评估方法。首先分析了发电权交易的执行方式并总结了影响其提升消纳效果的主要因素，构建了中长期弃风电量概率评估模型；然后探讨发电权交易对风电出力概率特性曲线的整形作用，并深入分析弃风改善效果与交易容量、启动交易风电理论功率、交易时间之间的关系，从而实现了对发电权交易关键参数的优化。最后通过算例仿真验证了所提算法在月、年时间尺度上进行快速优化与效果评估的有效性。

关键词: 发电权交易, 随机生产模拟, 概率特性, 可再生能源消纳, 交易优化

Abstract: With renewable energy consumption becoming a key issue, generation rights transaction between wind power and captive plants plays an important role in improving the power system's accommodation capacity. But there is no theory for evaluating and optimizing such mechanisms in the medium and long term. Based on probabilistic production simulation, this paper proposes a medium and long-term evaluation model to calculate system's accommodation capacity rapidly. The main factors affecting accommodation effect are summarized after analysis of operation mode of generation rights transaction. Considering the probabilistic characteristics of load and various power sources, an assessment model is constructed. Then, the shaping effect of the power generation rights transaction on the wind power probability curve is discussed, followed by analyzing the relationship between wind curtailment reduction and three key parameters:transaction capacity, start-up wind power and daily transaction time. The simulation results validate the effectiveness of the proposed algorithm in quick optimization and efficiency evaluation in monthly and annual scale.

Key words: power generation rights transaction, probabilistic production simulation, probability characteristics, renewable energy accommodation, transaction optimization

徐昊亮, 靳攀润, 姜继恒, 鲁宗相, 乔颖. 促进风电消纳的发电权交易优化方法[J]. 中国电力, 2020, 53(3): 167-176.

XU Haoliang, JIN Panrun, JIANG Jiheng, LU Zongxiang, QIAO Ying. Optimization Method of Generation Rights Transaction Mechanism for Power System Accommodation Improvement[J]. Electric Power, 2020, 53(3): 167-176.

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https://www.electricpower.com.cn/CN/Y2020/V53/I3/167

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促进风电消纳的发电权交易优化方法

Optimization Method of Generation Rights Transaction Mechanism for Power System Accommodation Improvement

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促进风电消纳的发电权交易优化方法

Optimization Method of Generation Rights Transaction Mechanism for Power System Accommodation Improvement

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