气电虚拟电厂多能源市场竞标策略

doi:10.11930/j.issn.1004-9649.201802056

中国电力 ›› 2018, Vol. 51 ›› Issue (7): 120-127.DOI: 10.11930/j.issn.1004-9649.201802056

气电虚拟电厂多能源市场竞标策略

周任军¹, 吕佳¹, 张武军², 李娟², 邓明辉¹, 肖钧文¹

1. 湖南省清洁能源与智能电网协同创新中心(长沙理工大学), 湖南长沙 410004;
2. 中国能源建设集团湖南省电力设计院有限公司, 湖南长沙 410007

收稿日期:2018-02-09 修回日期:2018-05-12 出版日期:2018-07-05 发布日期:2018-07-31
作者简介:周任军(1964-),女,博士,教授,从事电力系统优化、电网规划与运行、新能源接入系统、风险及条件风险、分布式电源规划等研究,E-mail:zrj0731@163.com;吕佳(1993-),女,硕士研究生,从事电力系统运行与调度、分布式电源规划等研究,E-mail:lvjia1993@yeah.net
基金资助:
国家自然科学基金资助项目（51277016）。

Bidding Strategies for Gas-Electricity Virtual Power Plants in Multi-energy Market

ZHOU Renjun¹, LV Jia¹, ZHANG Wujun², LI Juan², DENG Minghui¹, XIAO Junwen¹

1. Hunan Province Collaborative Innovation Center of Clean Energy and Smart Grid(Changsha University of Science and Technology), Changsha 410004, China;
2. Hunan Electric Power Design Institute, China Energy Engineering Group, Changsha 410007, China

Received:2018-02-09 Revised:2018-05-12 Online:2018-07-05 Published:2018-07-31
Supported by:
This work is supported by National Nature Science Foundation of China (No.51277016).

摘要/Abstract

摘要： 针对虚拟电厂竞标中需求响应、风电出力的不确定性造成的风险，利用新型电转气技术和燃气轮机快速调节能力，构成含气电双向转换的气电虚拟电厂，提出气电虚拟电厂的多能源市场竞标模型，同时参与电力市场和天然气市场的竞标。模型以气电虚拟电厂总利润最大为目标，不确定性表达为需求响应、风电出力的误差概率分布，并通过抽样和筛选确定场景描述。算例结果表明：含气电双向转换的气电虚拟电厂通过在2个市场中灵活竞标，获得了更高的竞标利润；控制燃气轮机和电转气出力，显著降低了不平衡惩罚成本。气电虚拟电厂扩展了虚拟电厂的竞标市场，有利于将来虚拟电厂根据不同电价和气价波动切换能源形式。

关键词: 虚拟电厂, 不确定性, 竞标策略, 电力市场, 天然气市场

Abstract: In order to solve the problem of virtual power plant bidding risk caused by uncertainty of wind power and demand response, a gas-electricity virtual power plant with bidirectional conversion function is built by using the new power-to-gas technology and the quick adjusting ability of gas turbine, and a multi-energy market bidding model is proposed for bidding of power market and the natural gas market. By taking the maximum profits of gas-electricity virtual power plant as its optimization objective, the model uses the error probability distribution to express the uncertainty of demand response and wind power output, and determines the scenario description through sampling and filtering. The simulation results show that the gas-electricity virtual power plant of bidirectional conversion can obtain higher bidding profits through flexible bidding in the two markets; and the imbalance penalty cost can be reduced substantially through controlling the gas turbine and power-to-gas output. The gas-electricity virtual power plant can extend the virtual power plant bidding market, which is helpful for virtual power plant to switch the energy form in the future according to different price fluctuations of gas and electricity.

Key words: virtual power plant, uncertainty, bidding strategy, electricity market, natural gas market

中图分类号:

TM732

周任军, 吕佳, 张武军, 李娟, 邓明辉, 肖钧文. 气电虚拟电厂多能源市场竞标策略[J]. 中国电力, 2018, 51(7): 120-127.

ZHOU Renjun, LV Jia, ZHANG Wujun, LI Juan, DENG Minghui, XIAO Junwen. Bidding Strategies for Gas-Electricity Virtual Power Plants in Multi-energy Market[J]. Electric Power, 2018, 51(7): 120-127.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201802056

https://www.electricpower.com.cn/CN/Y2018/V51/I7/120

参考文献

[1] 王冠, 李鹏, 焦扬, 等. 计及风光不确定性的虚拟电厂多目标随机调度优化模型[J]. 中国电力, 2017, 50(5):107-113.WANG Guan, LI Peng, JIAO Yang, et al. Multi-objective stochastic scheduling optimization model for virtual power plant considering uncertainty of wind and photovoltaic power[J]. Electric Power, 2017, 50(5):107-113.
[2] DABBAGH S R, SHEIKH-EL-ESLAMI M K. Risk assessment of virtual power plants offering in energy and reserve markets[J]. IEEE Transactions on Power Systems, 2016, 31(5):3572-3582.
[3] 余爽, 卫志农, 孙国强, 等. 考虑不确定性因素的虚拟电厂竞标模型[J]. 电力系统自动化, 2014, 38(22):43-49.YU Shuang, WEI Zhinong, SUN Guqiang, et al. A bidding model for a virtual plant considering uncertainties[J]. Automation of Electric Power Systems, 2014, 38(22):43-49.
[4] 周任军, 孙洪, 唐夏菲, 等. 双碳量约束下风电-碳捕集虚拟电厂低碳经济调度[J]. 中国电机工程学报, 2018, 38(6):1675-1683, 1904.ZHOU Renjun, SUN Hong, TANG Xiafei, et al. Low-carbon economic dispatch based on virtual power plant made up of carbon capture unit and wind power under double carbon constraint[J]. Proceedings of the CSEE, 2018, 38(6):1675-1683, 1904.
[5] 周亦洲, 孙国强, 黄文进, 等. 计及电动汽车和需求响应的多类电力市场下虚拟电厂竞标模型[J]. 电网技术, 2017, 41(6):1759-1767.ZHOU Yizhou, SUN Guoqiang, HUANG Wenjin, et al. Strategic bidding model for virtual power plant in different electricity markets considering electric vehicles and demand response[J]. Power System Technology, 2017, 41(6):1759-1767.
[6] 姜海洋, 谭忠富, 胡庆辉, 等. 用户侧虚拟电厂对发电产业节能减排影响分析[J]. 中国电力, 2010, 43(6):37-40.JIANG Haiyang, TAN Zhongfu, HU Qinghui, et al. Action analysis of nominal power plants on energy saving and emission controlling of power industry[J]. Electric Power, 2010, 43(6):37-40.
[7] WANG Qianfan, WANG Jianhui, GUAN Yongpei. Stochastic unit commitment with uncertain demand response[J]. IEEE Transactions on Power Systems, 2013, 28(1):562-563.
[8] 牛文娟, 李扬, 王蓓蓓. 考虑不确定性的需求响应虚拟电厂建模[J]. 中国电机工程学报, 2014, 34(22):3630-3637.NIU Wenjuan, LI Yang, WANG Beibei. Demand response based virtual power plant modeling considering uncertainty[J]. Proceedings of the CSEE, 2014, 34(22):3630-3637.
[9] 卫志农, 张思德, 孙国强, 等. 计及电转气的电-气互联综合能源系统削峰填谷研究[J]. 中国电机工程学报, 2017, 37(16):4601-4609, 4885.WEI Zhinong, ZHANG Side, SUN Guoqiang, et al. Power-to-gas considered peak load shifting research for integrated electricity and natural-gas energy systems[J]. Proceedings of the CSEE, 2017, 37(16):4601-4609, 4885.
[10] 李杨, 刘伟佳, 文福拴, 等. 电转气设备与燃气机组的联合竞价策略[J]. 电力系统自动化, 2017, 41(1):9-17.LI Yang, LIU Weijia, Wen Fushuan, et al. Combined bidding strategies between power-to-gas facilities and natural gas generating units[J]. Automation of Electric Power Systems, 2017, 41(1):9-17.
[11] 王业磊, 赵俊华, 文福拴, 等. 具有电转气功能的多能源系统的市场均衡分析[J]. 电力系统自动化, 2015, 39(21):1-10, 65.WANG Yelei, ZHAO Junhua, WEN Fushuan, et al. Market equilibrium of multi-energy system with power-to-gas functions[J]. Automation of Electric Power Systems, 2015, 39(21):1-10, 65.
[12] 孙毅, 贾孟扬, 陆俊, 等. 计及用户需求响应的智能用电互动潜力分析[J]. 电力科学与技术学报, 2016, 31(4):43-50.SUN Yi, JIA Meng-yang, LU Jun, et al. Analysis on interactive potential of intelligent power utilization considering user demand response[J]. Journal of Electric Power Science and Technology, 2016, 31(4):43-50.
[13] 刘思强, 叶泽, 姚军, 等. 负荷价格弹性的季节特性及尖峰电价政策福利效应估算[J]. 中国电力, 2016, 49(10):165-170.LIU Siqiang, YE Ze, YAO Jun, et al. Seasonal characteristics of load price elasticity and estimation of the welfare effects of peak price policy[J]. Electric Power, 2016, 49(10):165-170.
[14] 郑宇, 李杨, 焦丰顺. 含风电机组与电转气设备的虚拟电厂竞价策略[J]. 电力建设, 2017, 38(7):88-95.ZHENG Yu, LI Yang, JIAO Fengshun, et al. Bidding strategies for virtual power plants including wind power generation units and power-to-gas facilities[J]. Electric Power Construction, 2017, 38(7):88-95.
[15] 赵冬梅, 殷加玞. 考虑源荷双侧不确定性的模糊随机机会约束优先目标规划调度模型[J]. 电工技术学报, 2018, 33(5):1076-1085.Zhao Dongmei, Yin Jiafu. Fuzzy random chance constrained preemptive goal programming scheduling model considering source-side and load-side uncertainty[J]. Transactions of China Electrotechnical Society, 2018, 33(5):1076-1085.
[16] 孙宇军, 王岩, 王蓓蓓, 等. 考虑需求响应不确定性的多时间尺度源荷互动决策方法[J]. 电力系统自动化, 2018(2):106-113, 159.SUN Yujun, WANG Yan, WANG Beibei, et al. Multi-time Scale Decision Method for Source-Load Interaction Considering Demand Response Uncertainty[J]. Automation of Electric Power Systems, 2018(2):106-113, 159.

气电虚拟电厂多能源市场竞标策略

Bidding Strategies for Gas-Electricity Virtual Power Plants in Multi-energy Market

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气电虚拟电厂多能源市场竞标策略

Bidding Strategies for Gas-Electricity Virtual Power Plants in Multi-energy Market

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