电力现货市场出清中新能源随机波动特性表征方法及实例探讨

doi:10.12204/j.issn.1000-7229.2023.04.002

电力建设 ›› 2023, Vol. 44 ›› Issue (4): 8-17.doi: 10.12204/j.issn.1000-7229.2023.04.002

• 电力现货市场支撑新型电力系统建设的理论及实践·栏目主持范高锋教高、陈启鑫副教授、何冠楠特别研究员· • 上一篇下一篇

电力现货市场出清中新能源随机波动特性表征方法及实例探讨

向明旭¹(), 杨高峰²(), 杨知方¹(), 欧睿², 周宇晴², 许懿²

1.输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆市 400044
2.国网重庆市电力公司,重庆市 400014

收稿日期:2022-06-30 出版日期:2023-04-01 发布日期:2023-03-30
通讯作者: 杨知方 E-mail:zfyang@cqu.edu.cn
作者简介:向明旭(1994),男,博士,助理研究员,研究方向为电力系统运行优化、电力市场,E-mail:xiangmx58@163.com;
杨高峰(1981),男,硕士,高级工程师,研究方向为电力系统规划、电力需求分析;
欧睿(1981),男,硕士,高级工程师,研究方向为通信工程、调度数据网络安全;
周宇晴(1988),男,大学本科,高级工程师,研究方向为电力系统自动化;
许懿(1979),男,硕士,高级工程师,研究方向为电力系统及其自动化。
基金资助:
国家自然科学基金面上项目(52177072);国网重庆市电力公司科技项目(SGCQ0000DKJS2000109)

Characterization Method for Uncertainties and Fluctuations of Renewables in Electricity Spot Market Clearing and Case Discussion

XIANG Mingxu¹(), YANG Gaofeng²(), YANG Zhifang¹(), OU Rui², ZHOU Yuqing², XU Yi²

1. State Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University), Chongqing 400044, China
2. State Grid Chongqing Electric Power Company, Chongqing 400014, China

Received:2022-06-30 Online:2023-04-01 Published:2023-03-30
Contact: YANG Zhifang E-mail:zfyang@cqu.edu.cn
Supported by:
National Natural Science Foundation of China(52177072);in part by Science and Technology Program of State Grid Chongqing Electric Power Company(SGCQ0000DKJS2000109)

摘要/Abstract

摘要：

新能源具有清洁低碳的“正外部性”,同时也具有随机波动的“负外部性”。当前电力现货市场主要基于运行经验调整出清边界以应对该随机波动特性,难以准确、解析反映新能源接入引起的源荷平衡特性变化,无法有效发挥电力现货市场在激发系统运行灵活性方面的调节作用。对此,文章分析了新能源随机波动特性对多重市场出清边界及成本特性的影响,并探讨了其在出清模型中的表征思路。随后,以调频里程服务为例,揭示了新能源特性对调频里程需求的影响,并提出计及机组调频里程响应模式的日内市场出清模型,可解析反映上述影响。仿真结果表明,所提方法能在提升系统频率性能的同时,保证系统运行经济性,验证了方法有效性。

关键词: 电力市场, 现货市场出清, 随机波动表征, 调频里程服务

Abstract:

Renewables have the “positive externalities” of clean and low-carbon. Meanwhile, they also have the “negative externalities” of uncertainties and fluctuations. To handle the aforementioned uncertainties and fluctuations, the current electricity spot market mainly adjusts the market clearing boundary according to the operating experiences, which cannot explicitly reflect the changes in the power balance characteristics caused by the integration of renewables. As a result, the regulation function of the electricity spot market on stimulating the flexibility of power system operation cannot be effectively performed. To solve this, the impact of uncertainties and fluctuations of renewables on multiple market clearing boundaries and cost characteristics is analyzed. The idea of characterizing the aforementioned impact in the market clearing model is explored. Then, taking the frequency-regulation mileage service as an example, the impact of renewables on the frequency-regulation mileage requirement is revealed. On the basis of these, the intra-day market clearing model considering the response mode of generators to the frequency-regulation mileage requirement is proposed, which can explicitly reflect the aforementioned impact. Simulation results demonstrate that the proposed method can improve the system frequency performance while guaranteeing the system economy performance, which validates the effectiveness of the proposed method.

Key words: electricity market, spot market clearing, characterization of uncertainties and fluctuations, frequency-regulation mileage service

中图分类号:

TM76

向明旭, 杨高峰, 杨知方, 欧睿, 周宇晴, 许懿. 电力现货市场出清中新能源随机波动特性表征方法及实例探讨[J]. 电力建设, 2023, 44(4): 8-17.

XIANG Mingxu, YANG Gaofeng, YANG Zhifang, OU Rui, ZHOU Yuqing, XU Yi. Characterization Method for Uncertainties and Fluctuations of Renewables in Electricity Spot Market Clearing and Case Discussion[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(4): 8-17.

图/表 11

图1 新能源随机波动特性对多重市场出清边界及成本特性影响的示意图

Fig.1 Schematic of the impact of uncertainties and fluctuations of renewables on multiple market clearing boundaries and operating costs

图2 调频里程服务示意图

Fig.2 Schematic of frequency-regulation mileage service

图3 机组实际出力分解

Fig.3 Decomposition of actual generation output of generators

图4 计及机组调频里程响应模式的市场出清模型与当前出清模型对比

Fig.4 Comparison between the market clearing model considering response mode of generators to frequency-regulation mileage and the current clearing model

图5 频率仿真模型

Fig.5 Simulation model of frequency response

表1 机组报价及运行参数

Table 1 Bid prices and operating parameters of generators

图6 M1—M3所得全天系统频率偏差对比

Fig.6 Comparison of system frequency deviations of the operating day obtained by M1 to M3

表2 M1—M3所得全天系统运行性能对比

Table 2 Comparison of the system operating performance of the operating day obtained by M1 to M3

表3 第二个出清时段中M1和M2所得机组出清结果

Table 3 Market clearing results of generators at the second clearing interval obtained by M1 and M2 MW

表4 新能源高渗透率下不同方法的运行性能对比

Table 4 Comparison of the operating performance with different methods under high penetration of renewables

表5 M1在不同新能源渗透率下的系统运行成本对比

Table 5 Comparison of the system operating costs obtained by M1 under different penetration of renewables

参考文献 20

[1]	中共中央. 习近平主持召开中央财经委第九次会议[EB/OL]. [2022-06-30].https://www.chinacourt.org/article/detail/2021/03/id/5868673.shtml.
[2]	全球能源互联网发展合作组织. 中国能源转型与“十四五”电力规划研究[EB/OL]. [2022-06-30].http://shupeidian.bjx.com.cn/html/20200803/1094031.shtml.
[3]	陈皓勇. “双碳”目标下的电能价值分析与市场机制设计[J]. 发电技术, 2021, 42(2):141-150. doi: 10.12096/j.2096-4528.pgt.21008
	CHEN Haoyong. Electricity value analysis and market mechanism design under carbon-neutral goal[J]. Power Generation Technology, 2021, 42(2):141-150. doi: 10.12096/j.2096-4528.pgt.21008
[4]	刘政, 雷少锋, 王清亮, 等. 考虑备用共享的区域电力现货市场出清模型[J]. 电力建设, 2021, 42(11): 63-71. doi: 10.12204/j.issn.1000-7229.2021.11.007 URL
	LIU Zheng, LEI Shaofeng, WANG Qingliang, et al. Clearing model of regional electricity spot market considering reserve sharing[J]. Electric Power Construction, 2021, 42(11): 63-71. doi: 10.12204/j.issn.1000-7229.2021.11.007 URL
[5]	陶诗洋, 洪沅伸, 张天辰, 等. 计及源-荷多灵活备用资源的随机优化调度[J]. 电力建设, 2021, 42(12): 39-48. doi: 10.12204/j.issn.1000-7229.2021.12.005 URL
	TAO Shiyang, HONG Yuanshen, ZHANG Tianchen, et al. Stochastic optimal scheduling considering multiple flexible reserve resources on both source and load sides[J]. Electric Power Construction, 2021, 42(12): 39-48. doi: 10.12204/j.issn.1000-7229.2021.12.005 URL
[6]	于龙泽. 基于风光出力场景生成的多能源电力系统日前优化调度研究[D]. 吉林: 东北电力大学, 2021.
	YU Longze. Research on day ahead optimal dispatch of multi energy power system based on wind and solar output scenario generation[D]. Jilin:Northeast Dianli University, 2021.
[7]	FANG X, HODGE B M, DU E S, et al. Introducing uncertainty components in locational marginal prices for pricing wind power and load uncertainties[J]. IEEE Transactions on Power Systems, 2019, 34(3): 2013-2024. doi: 10.1109/TPWRS.59 URL
[8]	傅守强, 陈翔宇, 王畅, 等. 基于机会约束规划的多PET互联的交直流配电网日前优化调度[J]. 电力建设, 2019, 40(12): 96-103. doi: 10.3969/j.issn.1000-7229.2019.12.012 URL
	FU Shouqiang, CHEN Xiangyu, WANG Chang, et al. Day-ahead optimal scheduling of AC/DC hybrid distributed energy system with multi-power electronic transformer adopting chance-constrained programming[J]. Electric Power Construction, 2019, 40(12): 96-103. doi: 10.3969/j.issn.1000-7229.2019.12.012 URL
[9]	HUANG H Y, ZHOU M, LI G Y. An endogenous approach to quantifying the wind power reserve[J]. IEEE Transactions on Power Systems, 2020, 35(3): 2431-2442. doi: 10.1109/TPWRS.59 URL
[10]	李长宇, 唐文秀. 基于数据驱动的多微电网互联系统分布鲁棒运行优化[J]. 智慧电力, 2022, 50(5):1-8.
	LI Changyu, TANG Wenxiu. Distributed robust operation optimization of multi-microgrid interconnection system based on data driven[J]. Smart Power, 2022, 50(5):1-8.
[11]	CHEN Y H, LEONARD R, KEYSER M, et al. Development of performance-based two-part regulating reserve compensation on MISO energy and ancillary service market[J]. IEEE Transactions on Power Systems, 2015, 30(1): 142-155. doi: 10.1109/TPWRS.2014.2320519 URL
[12]	黄瀚燕, 周明, 李庚银. 考虑多重不确定性和备用互济的含风电互联电力系统分散协调调度方法[J]. 电网技术, 2019, 43(2): 381-389.
	HUANG Hanyan, ZHOU Ming, LI Gengyin. Coordinated decentralized dispatch of wind-power-integrated multi-area interconnected power systems considering multiple uncertainties and mutual reserve support[J]. Power System Technology, 2019, 43(2): 381-389.
[13]	ELA E, HYTOWITZ R B. Ancillary services in the united states: technical requirements, market designs and price trends[EB/OL]. [2022-06-30]. https://www.offshorewindadvisory.com/wp-content/uploads/2019/07/EPRI-Ancillary-Services.pdf.
[14]	JIANG H Y, XU J, SUN Y Z, et al. Dynamic reserve demand estimation model and cost-effectivity oriented reserve allocation strategy for multi-area system integrated with wind power[J]. IET Generation, Transmission & Distribution, 2018, 12(7): 1606-1620. doi: 10.1049/gtd2.v12.7 URL
[15]	YANG Y R, SHEN C C, WU C C, et al. Control performance based dynamic regulation reserve allocation for renewable integrations[J]. IEEE Transactions on Sustainable Energy, 2019, 10(3): 1271-1279. doi: 10.1109/TSTE.5165391 URL
[16]	陈中飞, 荆朝霞, 陈达鹏, 等. 美国调频辅助服务市场的定价机制分析[J]. 电力系统自动化, 2018, 42(12): 1-10.
	CHEN Zhongfei, JING Zhaoxia, CHEN Dapeng, et al. Analysis on pricing mechanism in frequency regulation ancillary service market of United States[J]. Automation of Electric Power Systems, 2018, 42(12): 1-10.
[17]	WANG Z W, ZHONG J. Procuring and pricing performance-based frequency regulation services in the electricity market[J]. IET Generation, Transmission & Distribution, 2017, 11(10): 2633-2642. doi: 10.1049/gtd2.v11.10 URL
[18]	Federal Energy Regulatory Commission. Order No.755:frequency regulation compensation in the organized wholesale power markets[EB/OL]. [2022-06-30].https://www.federalregister.gov/documents/2011/03/01.
[19]	STOTT B, JARDIM J, ALSAC O. DC power flow revisited[J]. IEEE Transactions on Power Systems, 2009, 24(3): 1290-1300. doi: 10.1109/TPWRS.2009.2021235 URL
[20]	PJM[DB/OL]. [2022-06-30]. https://www.pjm.com/.

电力现货市场出清中新能源随机波动特性表征方法及实例探讨

Characterization Method for Uncertainties and Fluctuations of Renewables in Electricity Spot Market Clearing and Case Discussion

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