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1.电力设备电气绝缘国家重点实验室,西安交通大学,陕西省西安市 710049
2.北京电力交易中心有限公司,北京市 100031
3.国网能源研究院有限公司,北京市 102209
樊宇琦(1997—),女,硕士研究生,主要研究方向:电力市场。E-mail:yuqifan@stu.xjtu.edu.cn
丁涛(1986—),男,通信作者,博士,教授,主要研究方向:电力系统经济运行、电力市场、能源经济。E-mail:tding15@xjtu.edu.cn
汤洪海(1975—),男,博士,高级工程师,主要研究方向:电力市场和电能交易组织。E-mail:honghai-tang@sgcc.com.cn
收稿日期:2020-11-06,
修回日期:2021-04-03,
网络出版日期:2021-04-05,
纸质出版日期:2021-09-25
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樊宇琦,丁涛,汤洪海等.考虑路径折算的跨省跨区可再生能源增量现货交易模型[J].电力系统自动化,2021,45(18):103-112.
FAN Yuqi,DING Tao,TANG Honghai,et al.Cross-provincial and Cross-regional Incremental Spot Trading Model for Renewable Energy Considering Path Conversion[J].Automation of Electric Power Systems,2021,45(18):103-112.
樊宇琦,丁涛,汤洪海等.考虑路径折算的跨省跨区可再生能源增量现货交易模型[J].电力系统自动化,2021,45(18):103-112. DOI: 10.7500/AEPS20201106002.
FAN Yuqi,DING Tao,TANG Honghai,et al.Cross-provincial and Cross-regional Incremental Spot Trading Model for Renewable Energy Considering Path Conversion[J].Automation of Electric Power Systems,2021,45(18):103-112. DOI: 10.7500/AEPS20201106002.
随着中国可再生能源的快速发展和电力体制市场化改革的推进,可再生能源实现更大范围消纳和全国统一电力市场建设的需求给跨省跨区电力交易的开展带来新的挑战。结合中国跨省跨区现货交易规则,以“高低匹配”撮合交易为基础,建立了考虑交易路径和输电损耗的增量现货交易模型。为反映交易路径送受端节点类型,在交易路径送端和受端分别设置卖/买方节点和虚拟卖/买方节点。利用该模型分析了输电通道可用容量、可再生能源上网电价和可再生能源弃电申报电量对可再生能源消纳情况的影响。通过中国“三北”地区的实际交易数据开展仿真计算,验证了模型的有效性,并分析了跨省跨区增量现货市场可再生能源消纳情况的关键影响因素。
With the rapid development of renewable energy in China and the promotion of market-oriented reform of power systems
the demand for greater accommodation of renewable energy and the construction of the national unified electricity market bring new challenges to the development of cross-provincial and cross-regional electricity trading. Combined with China’s cross-provincial and cross-regional incremental spot trading rules and based on the “high-low matching” trading
an incremental spot trading model considering trading paths and transmission loss is established. In order to reflect the nodal type of the sending- and receiving-ends of the trading path
a seller/buyer node and a virtual seller/buyer node are set at the sending-end and receiving-end of the trading path respectively. The model is used to analyze the impact of the available capacity of the transmission channel
feed-in tariffs of renewable energy and declared amount of abandoned renewable energy on renewable energy accommodation. Through the simulation calculation of the actual trading data in the “Three North” region of China
the effectiveness of the model is verified
and the key influencing factors of renewable energy accommodation in the cross-provincial and cross-regional incremental spot market are analyzed.
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