Challenges, Strategies and Key Technologies for Virtual Power Plants in Market Trading

doi:10.12096/j.2096-4528.pgt.23086

Abstract

Abstract:

With the massive access to renewable power generation and the advancement of the marketization process, the development prospects of virtual power plants that can give full play to the value of flexible resources have gradually emerged. In the process of virtual power plant participation in the market, the formulation of its market trading strategy needs to be challenged by the market mechanism. On the other hand, the market trading is closely related to the optimal scheduling of resources. The adjustable capacity of the internal resources, uncertainty, load behavior and other characteristics bring challenges to the development of trading strategy. This paper focused on the challenges and problems faced in the market transactions of virtual power plants, and summarized the market strategies adapted to the market mechanism. The key technologies required to deal with the formulation of the strategies, such as uncertainty handling, bid analysis methods, and virtual plant management methods were analyzed and reviewed, in order to provide a reference and a direction for the future research on virtual power plants.

Key words: virtual power plant (VPP), market strategy, frequency regulation market, demand response, optimal dispatch, game theory

CLC Number:

TK 01

Xingyuan XU, Haoyong CHEN, Yuxiang HUANG, Xiaobin WU, Yushen WANG, Junhao LIAN, Jianbin ZHANG. Challenges, Strategies and Key Technologies for Virtual Power Plants in Market Trading[J]. Power Generation Technology, 2023, 44(6): 745-757.

Figures/Tables 1

References 97

1	USMAN O， AKADIRI S S， ADESHOLA I ．Role of renewable energy and globalization on ecological footprint in the USA：implications for environmental sustainability[J]．Environmental Science and Pollution Research，2020，27(24)：30681-30693． doi:10.1007/s11356-020-09170-9
2	高骞，杨俊义，洪宇，等．新型电力系统背景下电网发展业务数字化转型架构及路径研究[J]．发电技术，2022，43(6)：851-859． doi:10.12096/j.2096-4528.pgt.21124
	GAO Q， YANG J Y， HONG Y，et al ．Research on digital transformation architecture and path of power grid development planning business under new power system blueprint[J]．Power Generation Technology，2022，43(6)：851-859． doi:10.12096/j.2096-4528.pgt.21124
3	印欣，张锋，阿地利·巴拉提，等．新型电力系统背景下电热负荷参与实时调度研究[J]．发电技术，2023，44(1)：115-124． doi:10.12096/j.2096-4528.pgt.21122
	YIN X， ZHANG F， ADILI B，et al ．Study on participation of electricity-driven thermal load in real-time scheduling of new power system[J]．Power Generation Technology，2023，44(1)：115-124． doi:10.12096/j.2096-4528.pgt.21122
4	国家能源局．关于公开征求《新型电力系统发展蓝皮书(征求意见稿)》意见的通知[EB/OL]．(2023-01-06)[2023-06-15]．．
	National Energy Administration ．Notice on the Public Solicitation of Opinions on the Blue Book on the Development of New Electric Power Systems (Draft for Comments)[EB/OL]．(2023-01-06)[2023-06-15]．．
5	罗迪，田新首，刘超，等．分布式清洁电源接入配电网研究综述[J]．电网与清洁能源，2017，33(8)：101-108． doi:10.3969/j.issn.1674-3814.2017.08.018
	LUO D， TIAN X S， LIU C，et al ．A review of research on distributed clean power access to distribution grids[J]．Power System and Clean Energy，2017，33(8)：101-108． doi:10.3969/j.issn.1674-3814.2017.08.018
6	RAHBAR K， XU J， ZHANG R ．Real-time energy storage management for renewable integration in microgrid：an off-line optimization approach[J]．IEEE Transactions on Smart Grid，2015，6(1)：124-134． doi:10.1109/tsg.2014.2359004
7	董文博，顾秀芳，陈艳宁．风电并网价值分析[J]．发电技术，2020，41(3)：320-327． doi:10.12096/j.2096-4528.pgt.19117
	DONG W B， GU X F， CHEN Y N ．Value analysis of wind power integration[J]．Power Generation Technology，2020，41(3)：320-327． doi:10.12096/j.2096-4528.pgt.19117
8	IMPRAM S， VARBAK NESE S， ORAL B ．Challenges of renewable energy penetration on power system flexibility：a survey[J]．Energy Strategy Reviews，2020，31：100539． doi:10.1016/j.esr.2020.100539
9	李昭昱，艾芊，张宇帆，等．数据驱动技术在虚拟电厂中的应用综述[J]．电网技术，2020，44(7)：2411-2419． doi:10.13335/j.1000-3673.pst.2020.0207a
	LI Z Y， AI Q， ZHANG Y F，et al ．A review of data-driven technology in virtual power plant[J]．Power System Technology，2020，44(7)：2411-2419． doi:10.13335/j.1000-3673.pst.2020.0207a
10	THAVLOV A， BINDNER H W ．Utilization of flexible demand in a virtual power plant set-up[J]．IEEE Transactions on Smart Grid，2015，6(2)：640-647． doi:10.1109/tsg.2014.2363498
11	LIU Y， XIN H， WANG Z，et al ．Control of virtual power plant in microgrids： a coordinated approach based on photovoltaic systems and controllable loads[J]．IET Generation，Transmission & Distribution，2015，9(10)：921-928． doi:10.1049/iet-gtd.2015.0392
12	赵建立，向佳霓，汤卓凡，等．虚拟电厂在上海的实践探索与前景分析[J]．中国电力，2023，56(2)：1-13． doi:10.11930/j.issn.1004-9649.202208078
	ZHAO J L， XIANG J N， TANG Z F，et al ．Practice exploration and prospect analysis of virtual power plant in Shanghai[J]．Electric Power，2023，56(2)：1-13． doi:10.11930/j.issn.1004-9649.202208078
13	宣文博，李慧，刘忠义，等．一种基于虚拟电厂技术的城市可再生能源消纳能力提升方法[J]．发电技术，2021，42(3)：289-297． doi:10.12096/j.2096-4528.pgt.20104
	XUAN W B， LI H， LIU Z Y，et al ．A method for improving the accommodating capability of urban renewable energy based on virtual power plant technology[J]．Power Generation Technology，2021，42(3)：289-297． doi:10.12096/j.2096-4528.pgt.20104
14	宋天琦，马韵婷，张智慧．光伏耦合电解水制氢系统作为虚拟电厂资源的运行模式与经济性分析[J]．发电技术，2023，44(4)：465-472． doi:10.12096/j.2096-4528.pgt.22181
	SONG T Q， MA Y T， ZHANG Z H ．Operation mode and economy of photovoltaic coupled water electrolysis hydrogen production system as a kind of virtual power plant resource[J]．Power Generation Technology，2023，44(4)：465-472． doi:10.12096/j.2096-4528.pgt.22181
15	杨洪朝，杨迪，孟科．高比例可再生能源渗透下多虚拟电厂多时间尺度协调优化调度[J]．智慧电力，2021，49(2)：60-68． doi:10.3969/j.issn.1673-7598.2021.02.011
	YANG H C， YANG D， MENG K ．Multi-time scale coordination optimal scheduling of multiple virtual power plants with high-penetration renewable energy integration[J]．Smart Power，2021，49(2)：60-68． doi:10.3969/j.issn.1673-7598.2021.02.011
16	SOTER S， BERTLING F ．Adjustable converter for injection of fuel cell power as a part of a virtual power plant[C]//2004 IEEE 35th Annual Power Electronics Specialists Conference．Aachen，Germany:IEEE，2004，3：1988-1990． doi:10.1109/pesc.2004.1355201
17	阮文骏，刘莎，李扬．美国需求响应综述[J]．电力需求侧管理，2013，15(2)：61-64． doi:10.3969/j.issn.1009-1831.2013.02.022
	RUAN W J， LIU S， LI Y ．An overview of demand response in the United States[J]．Power Demand Side Management，2013，15(2)：61-64． doi:10.3969/j.issn.1009-1831.2013.02.022
18	GHAVIDEL S， LI L， AGHAEI J，et al ．A review on the virtual power plant：components and operation systems[C]//2016 IEEE International Conference on Power System Technology (POWERCON)．Wollongong，Australia：IEEE，2016：1-6． doi:10.1109/powercon.2016.7754037
19	FAN Z， HORGER T， BASTIAN J，et al ．An overview of PJM energy market design and development[C]//2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies．Nanjing，China：IEEE，2008：12-17． doi:10.1109/drpt.2008.4523372
20	LIU Y， CHEN H ．Construction and enlightenment of Japan’s new electricity market[C]//2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia)．Chengdu，China：IEEE，2019：3020-3025． doi:10.1109/isgt-asia.2019.8881424
21	BELHOMME R， TROTIGNON M， CANTENOT J，et al ．Overview of the electricity system market and service layers in France，UK and Germany[C]//2016 13th International Conference on the European Energy Market (EEM)．Porto，Portugal：IEEE，2016：1-5． doi:10.1109/eem.2016.7521345
22	WANG S， WANG Z， LIU F，et al ．Research on south korean electricity market and its enlightenment to the construction of Chinese electricity market[C]//2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)．Wuhan，China：IEEE，2020：3591-3596． doi:10.1109/ei250167.2020.9347249
23	BAO M， GUO C， WU Z，et al ．Review of electricity spot market reform in China：current status and future development[C]//2019 IEEE Sustainable Power and Energy Conference (iSPEC)．Beijing，China：IEEE，2019：1444-1448． doi:10.1109/ispec48194.2019.8975340
24	LIU B， HAN Z， SHAO L，et al ．An Overview of ancillary service development in China：status， problems and countermeasures[C]//2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)．Beijing，China：IEEE，2018：1-6. doi:10.1109/ei2.2018.8582669
25	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 H Y ．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
26	KAMPHUIS R， DE HEER H， ROOSSIEN B，et al ．Real-time trade dispatch of a commercial VPP with residential customers in the PowerMatching city SmartGrid living lab[C]//22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)．Stockholm，Sweden：IEEE，2013：1-4. doi:10.1049/cp.2013.0666
27	BARROSO L A， CONEJO A J ．Decision making under uncertainty in electricity markets[C]//2006 IEEE Power Engineering Society General Meeting．Montreal，Canada：IEEE，2006，3：158-169． doi:10.1109/pes.2006.1709323
28	李嘉媚，艾芊，殷爽睿．虚拟电厂参与调峰调频服务的市场机制与国外经验借鉴[J]．中国电机工程学报，2022，42(1)：37-56．
	LI J M， AI Q， YIN S R ．Market mechanism of virtual power plant participation in peak and frequency regulation services and foreign experiences[J]．Proceedings of the CSEE，2022，42(1)：37-56．
29	喻洁，刘云仁，杨家琪，等．美国加州辅助服务市场发展解析及其对我国电力市场的启示[J]．电网技术，2019，43(8)：2711-2717．
	YU J， LIU Y R， YANG J Q，et al ．Analysis of the development of California auxiliary service market in the United States and its inspiration to China’s electricity market[J]．Power System Technology，2019，43(8)：2711-2717．
30	国家能源局．十四五现代能源体系规划[EB/OL]．(2022-03-22)[2023-06-15]．．
	National Energy Administration ．14th Five-Year Plan for modern energy system[EB/OL]．(2022-03-22)[2023-06-15]．．
31	MASHHOUR E， MOGHADDAS-TAFRESHI S M ．Bidding strategy of virtual power plant for participating in energy and spinning reserve markets：part I：problem formulation[J]．IEEE Transactions on Power Systems，2011，26(2)：949-956． doi:10.1109/tpwrs.2010.2070884
32	NEZAMABADI H， SETAYESH NAZAR M ．Arbitrage strategy of virtual power plants in energy，spinning reserve and reactive power markets[J]．IET Generation，Transmission & Distribution，2016，10(3)：750-763． doi:10.1049/iet-gtd.2015.0402
33	CARDOSO G， STADLER M， MASHAYEKH S，et al ．The impact of ancillary services in optimal DER investment decisions[J]．Energy，2017，130：99-112． doi:10.1016/j.energy.2017.04.124
34	王金锋，郑博文，姜炎君，等．澳大利亚虚拟电厂发展概况与经验启示[J]．供用电，2023，40(4)：63-73．
	WANG J F， ZHENG B W， JIANG Y J，et al ．Overview of the development of virtual power plant in Australia and its experience[J]．Distribution & Utilization，2023，40(4)：63-73．
35	QING Z， GAO H， WANG R，et al ．Trading model of virtual power plant considering shapley contribution based revenue distribution[C]//2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)．Wuhan，China：IEEE，2020：2385-2390． doi:10.1109/ei250167.2020.9346608
36	LEI R， ZHOU M， WU Z，et al ．The optimal operation and revenue allocation method of virtual power plant considering carbon trading[C]//2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)．Wuhan，China：IEEE，2020：2396-2402． doi:10.1109/ei250167.2020.9347001
37	刘蓉晖，赵增凯，孙改平，等．考虑不同风险偏好的虚拟电厂优化策略及利润分配[J]．电力自动化设备，2021，41(4)：154-161．
	LIU R H， ZHAO Z K， SUN G P，et al ．Optimization strategy and profit allocation of virtual power plant considering different risk preferences[J]．Electric Power Automation Equipment，2021，41(4)：154-161．
38	PANDŽIĆ H， MORALES J M， CONEJO A J，et al ．Offering model for a virtual power plant based on stochastic programming[J]．Applied Energy，2013，105：282-292． doi:10.1016/j.apenergy.2012.12.077
39	PANDŽIĆ H， KUZLE I， CAPUDER T ．Virtual power plant mid-term dispatch optimization[J]．Applied Energy，2013，101：134-141． doi:10.1016/j.apenergy.2012.05.039
40	MASHHOUR E， MOGHADDAS-TAFRESHI S M ．Bidding strategy of virtual power plant for participating in energy and spinning reserve markets：part II：numerical analysis[J]．IEEE Transactions on Power Systems，2011，26(2)：957-964． doi:10.1109/tpwrs.2010.2070883
41	KIM S， KWON W H， KIM H J，et al ．Offer curve generation for the energy storage system as a member of the virtual power plant in the day-ahead market[J]．Journal of Electrical Engineering & Technology，2019，14(6)：2277-2287． doi:10.1007/s42835-019-00271-1
42	KARDAKOS E G， SIMOGLOU C K， BAKIRTZIS A G ．Optimal offering strategy of a virtual power plant：a stochastic bi-level approach[J]．IEEE Transactions on Smart Grid，2016，7(2)：794-806．
43	PEIK-HERFEH M， SEIFI H， SHEIKH-EL-ESLAMI M K ．Decision making of a virtual power plant under uncertainties for bidding in a day-ahead market using point estimate method[J]．International Journal of Electrical Power & Energy Systems，2013，44(1)：88-98． doi:10.1016/j.ijepes.2012.07.016
44	林毓军，苗世洪，杨炜晨，等．面向多重不确定性环境的虚拟电厂日前优化调度策略[J]．电力自动化设备，2021，41(12)：143-150．
	LIN Y J， MIAO S H， YANG W C，et al ．Optimal scheduling strategy for virtual power plant day-ahead in multiple uncertainty environment[J]．Electric Power Automation Equipment，2021，41(12)：143-150．
45	YI Z， XU Y， GU W，et al ．A multi-time-scale economic scheduling strategy for virtual power plant based on deferrable loads aggregation and disaggregation[J]．IEEE Transactions on Sustainable Energy，2020，11(3)：1332-1346． doi:10.1109/tste.2019.2924936
46	RAHIMIYAN M， BARINGO L ．Strategic bidding for a virtual power plant in the day-ahead and real-time markets：a price-taker robust optimization approach[J]．IEEE Transactions on Power Systems，2016，31(4)：2676-2687． doi:10.1109/tpwrs.2015.2483781
47	MUELLER F L， WOERNER S， LYGEROS J ．Unlocking the potential of flexible energy resources to help balance the power grid[J]．IEEE Transactions on Smart Grid，2019，10(5)：5212-5222． doi:10.1109/tsg.2018.2878998
48	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． doi:10.1109/tpwrs.2015.2493182
49	YANG D， HE S， WANG M，et al ．Bidding strategy for virtual power plant considering the large-scale integrations of electric vehicles[J]．IEEE Transactions on Industry Applications，2020，56(5)：5890-5900． doi:10.1109/tia.2020.2993532
50	谢宏伟，严强，李扬，等．市场模式下兼顾区域负荷特性的多虚拟电厂分布式协调优化[J]．电力自动化设备，2023，43(5)：199-209．
	XIE H W， YAN Q， LI Y，et al ．Distributed and coordinated optimization of multi-virtual power plants taking regional load characteristics into account under market model[J]．Electric Power Automation Equipment，2023，43(5)：199-209．
51	MORALES J M， CONEJO A J， PÉREZ-RUIZ J ．Short-term trading for a wind power producer[C]//IEEE PES General Meeting．2010：1-1. doi:10.1109/pes.2010.5589379
52	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 Y Z， SUN G Q， HUANG W J，et al ．A virtual power plant bidding model under a multi-class electricity market accounting for electric vehicles and demand response[J]．Power System Technology，2017，41(6)：1759-1767．
53	刘亚鑫，蔺红，马越，等．考虑分时碳价的虚拟电厂分布鲁棒竞标方法[J/OL].电测与仪表：1-8[2023-12-05]．．
	LIU Y X， LIN H， MA Y，et al ．A robust bidding method for virtual power plant distribution considering time-shared carbon price[J/OL]．Electrical Measurement and Instrumentation：1-8[2023-12-05]．．
54	YANG D， HE S， CHEN Q，et al ．Bidding strategy of a virtual power plant considering carbon-electricity trading[J]．CSEE Journal of Power and Energy Systems，2019，5(3)：306-314．
55	BOLZONI A， PARISIO A， TODD R，et al ．Optimal virtual power plant management for multiple grid support services[J]．IEEE Transactions on Energy Conversion，2021，36(2)：1479-1490． doi:10.1109/tec.2020.3044421
56	CHEN W， QIU J， ZHAO J，et al ．Bargaining game-based profit allocation of virtual power plant in frequency regulation market considering battery cycle life[J]．IEEE Transactions on Smart Grid，2021，12(4)：2913-2928． doi:10.1109/tsg.2021.3053000
57	LIU J， YU S S， HU H，et al ．Demand-side regulation provision of virtual power plants consisting of interconnected microgrids through double-stage double-layer optimization[J]．IEEE Transactions on Smart Grid，2023，14(3)：1946-1957． doi:10.1109/tsg.2022.3203466
58	VAHEDIPOUR D M， RASHIDIZADEH K H， PARENTE M，et al ．Investigating the impact of external demand response flexibility on the market power of strategic virtual power plant[J]．IEEE Access，2022，10：84960-84969． doi:10.1109/access.2022.3197908
59	SHI Q， LI F， HU Q，et al ．Dynamic demand control for system frequency regulation：concept review， algorithm comparison，and future vision[J]．Electric Power Systems Research，2018，154：75-87． doi:10.1016/j.epsr.2017.07.021
60	闫鹏，曾四鸣，李铁成，等．基于改进量子遗传算法的虚拟电厂在多时间尺度下参与AGC优化调度[J]．电网与清洁能源，2023，39(3)：23-32． doi:10.3969/j.issn.1674-3814.2023.03.004
	YAN P， ZENG S M， LI T C，et al ．Participation of virtual power plant in AGC optimal scheduling under multiple time scales based on improved quantum genetic algorithm[J]．Power System and Clean Energy，2023，39(3)：23-32． doi:10.3969/j.issn.1674-3814.2023.03.004
61	YI Z， XU Y， WANG X，et al ．An improved two-stage deep reinforcement learning approach for regulation service disaggregation in a virtual power plant[J]．IEEE Transactions on Smart Grid，2022，13(4)：2844-2858． doi:10.1109/tsg.2022.3162828
62	张钊，蒋聪．基于LPV-LQR控制的虚拟电厂调频策略研究[J/OL]．电气工程学报：1-10[2023-06-15]．．
	ZHANG Z， JIANG C ．Study on the FM strategy of virtual power plant based on LPV-LQR control[J]．Journal of Electrical Engineering： 1-10[2023-06-15]．．
63	SABERI H， ZHANG C， DONG Z Y ．Capacity of virtual energy storage system for frequency regulation services via a data-driven distributionally robust optimization method[J]．IEEE Transactions on Power Systems，2023，38(3)：2134-2147． doi:10.1109/tpwrs.2022.3193899
64	HE G， CHEN Q， KANG C，et al ．Cooperation of wind power and battery storage to provide frequency regulation in power markets[J]．IEEE Transactions on Power Systems，2017，32(5)：3559-3568． doi:10.1109/tpwrs.2016.2644642
65	WANG Y， AI X， TAN Z，et al ．Interactive dispatch modes and bidding strategy of multiple virtual power plants based on demand response and game theory[J]．IEEE Transactions on Smart Grid，2016，7(1)：510-519． doi:10.1109/tsg.2015.2409121
66	AYÓN X， GRUBER J K， HAYES B P，et al ．An optimal day-ahead load scheduling approach based on the flexibility of aggregate demands[J]．Applied Energy，2017，198：1-11． doi:10.1016/j.apenergy.2017.04.038
67	BAROT S， TAYLOR J A ．A concise， approximate representation of a collection of loads described by polytopes[J]．International Journal of Electrical Power & Energy Systems，2017，84：55-63． doi:10.1016/j.ijepes.2016.05.001
68	赵力航，常伟光，杨敏，等．电力市场环境下虚拟电厂两阶段能量经济优化调度[J]．中国电力，2022，55(10)：14-22．
	ZHAO L H， CHANG W G， YANG M，et al ．Two-stage energy-economy optimized scheduling of virtual power plant under power market environment[J]．Electric Power，2022，55(10)：14-22．
69	YUAN G， GAO Y， YE B，et al ．Real-time pricing for smart grid with multi-energy microgrids and uncertain loads： a bilevel programming method[J]．International Journal of Electrical Power & Energy Systems，2020，123：106206． doi:10.1016/j.ijepes.2020.106206
70	MOGHADDAM I G， NICK M， FALLAHI F，et al ．Risk-averse profit-based optimal operation strategy of a combined wind farm-cascade hydro system in an electricity market[J]．Renewable Energy，2013，55：252-259． doi:10.1016/j.renene.2012.12.023
71	叶飞，邵平，王宣元，等．考虑购售风险的虚拟电厂双层竞标策略[J]．电力建设，2020，41(6)：28-35．
	YE F， SHAO P， WANG X Y，et al ．A two-tier bidding strategy for virtual power plants considering purchase and sale risks[J]．Electric Power Construction，2020，41(6)：28-35．
72	SHAYEGAN RAD A， BADRI A， ZANGENEH A，et al ．Risk-based optimal energy management of virtual power plant with uncertainties considering responsive loads[J]．International Journal of Energy Research，2019，43(6)：2135-2150． doi:10.1002/er.4418
73	李鹏，蒋正威，邓一帆，等．虚拟电厂参与电力市场与调度控制技术研究综述[J]．浙江电力，2022，41(6)：8-14．
	LI P， JIANG Z W， DENG Y F，et al ．A review of virtual power plant participation in power market and dispatch control technology[J]．Zhejiang Electric Power，2022，41(6)：8-14．
74	方燕琼，甘霖，艾芊，等．基于主从博弈的虚拟电厂双层竞标策略[J]．电力系统自动化，2017，41(14)：61-69． doi:10.7500/AEPS20170104005
	FANG Y Q， GAN L， AI Q，et al ．Master-slave game-based bidding strategy for virtual power plants with two tiers[J]．Automation of Electric Power Systems，2017，41(14)：61-69． doi:10.7500/AEPS20170104005
75	夏耀杰．考虑不确定因素的虚拟电厂竞价优化策略[J]．电器与能效管理技术，2022(9)：45-50．
	XIA Y J ．Optimization strategy of virtual power plant bidding considering uncertainties[J]．Electricity and Energy Efficiency Management Technology，2022(9)：45-50．
76	KWAG H G， KIM J O ．Reliability modeling of demand response considering uncertainty of customer behavior[J]．Applied Energy，2014，122：24-33． doi:10.1016/j.apenergy.2014.01.068
77	STENNER K， FREDERIKS E R， HOBMAN E V，et al ．Willingness to participate in direct load control：the role of consumer distrust[J]．Applied Energy，2017，189：76-88． doi:10.1016/j.apenergy.2016.10.099
78	KUANG Y， WANG X， ZHAO H，et al ．Model-free demand response scheduling strategy for virtual power plant considering risk attitude of consumer[J]．CSEE Journal of Power and Energy Systems，2021，9(2)：516-528．
79	CHEN W， QIU J， CHAI Q ．Customized critical peak rebate pricing mechanism for virtual power plants[J]．IEEE Transactions on Sustainable Energy，2021，12(4)：2169-2183． doi:10.1109/tste.2021.3084211
80	张卫国，徐青山，陈堃，等．考虑电价敏感用户行为的电动汽车虚拟电厂外特性[J]．高电压技术，2023，49(4)：1372-1379．
	ZHANG W G， XU Q S， CHEN K，et al ．Virtual power plant external characteristics of electric vehicles considering tariff-sensitive user behavior[J]．High Voltage Technology，2023，49(4)：1372-1379．
81	袁桂丽，苏伟芳．计及电动汽车不确定性的虚拟电厂参与AGC调频服务研究[J]．电网技术，2020，44(7)：2538-2548．
	YUAN G L， SU W F ．Study on virtual power plant participation in AGC FM service taking into account electric vehicle uncertainty[J]．Power System Technology，2020，44(7)：2538-2548．
82	ROCCHETTA R， BELLANI L， COMPARE M，et al ．A reinforcement learning framework for optimal operation and maintenance of power grids[J]．Applied Energy，2019，241：291-301． doi:10.1016/j.apenergy.2019.03.027
83	QIAN T， SHAO C， LI X，et al ．Enhanced coordinated operations of electric power and transportation networks via EV charging services[J]．IEEE Transactions on Smart Grid，2020，11(4)：3019-3030． doi:10.1109/tsg.2020.2969650
84	QIAN T， SHAO C， WANG X，et al ．Deep reinforcement learning for ev charging navigation by coordinating smart grid and intelligent transportation system[J]．IEEE Transactions on Smart Grid，2020，11(2)：1714-1723． doi:10.1109/tsg.2019.2942593
85	BARINGO A， BARINGO L， ARROYO J M ．Day-ahead self-scheduling of a virtual power plant in energy and reserve electricity markets under uncertainty[J]．IEEE Transactions on Power Systems，2019，34(3)：1881-1894． doi:10.1109/tpwrs.2018.2883753
86	刘一欣，郭力，王成山．微电网两阶段鲁棒优化经济调度方法[J]．中国电机工程学报，2018，38(14)：4013-4022．
	LIU Y X， GUO L， WANG C S ．A two-stage robust optimal economic dispatch method for microgrids[J]．Chinese Journal of Electrical Engineering，2018，38(14)：4013-4022．
87	李学峰，李国庆，李晓飞，等．考虑风电不确定性与电池损耗的储能电站鲁棒规划方法 [J/OL]．电力系统及其自动化学报：1-11[2023-06-15]．．
	LI X F， LI G Q， LI X F，et al ．Robust planning method for energy storage plant considering wind power uncertainty and battery loss[J/OL]．Journal of Power Systems and Automation：1-11[2023-06-15]．．
88	钟磊，高红均，杨艳红，等．基于两阶段鲁棒博弈的交直流混合配电网调峰运行管控[J]. 中国电机工程学报， 2022， 42(15)： 5550-5565．
	ZHONG L， GAO H J， YANG Y H，et al ．Peak operation control of AC/DC hybrid distribution network based on two-stage robust game[J]．Proceedings of the CSEE，2022，42(15)：5550-5565．
89	孙国强，袁智，耿天翔，等．含电动汽车的虚拟电厂鲁棒随机优化调度[J]．电力系统自动化，2017， 41(6)：44-50． doi:10.7500/AEPS20160523001
	SUN G Q， YUAN Z， GENG T X，et al ．Robust stochastic optimal scheduling of virtual power plants containing electric vehicles[J]．Power System Automation，2017，41(6)：44-50． doi:10.7500/AEPS20160523001
90	BARINGO L， CONEJO A J ．Offering strategy via robust optimization[J]．IEEE Transactions on Power Systems，2011，26(3)：1418-1425． doi:10.1109/tpwrs.2010.2092793
91	李嘉媚，艾芊．考虑调峰辅助服务的虚拟电厂运营模式[J]．电力自动化设备，2021，41(6)：1-13． doi:10.16081/j.epae.202103005
	LI J M， AI Q ．A virtual power plant operation model considering peaking auxiliary services[J]．Electric Power Automation Equipment，2021，41(6)：1-13． doi:10.16081/j.epae.202103005
92	ZHANG T， LI Y， YAN R，et al ．A master-slave game optimization model for electric power companies considering virtual power plant[J]．IEEE Access，2022，10：21812-21820． doi:10.1109/access.2022.3152805
93	MOHY-UD-DIN G， MUTTAQI K M， SUTANTO D ．A cooperative energy transaction model for VPP integrated renewable energy hubs in deregulated electricity markets[J]．IEEE Transactions on Industry Applications，2022，58(6)：7776-7791． doi:10.1109/tia.2022.3195965
94	CHEN W， QIU J， ZHAO J，et al ．Customized rebate pricing mechanism for virtual power plants using a hierarchical game and reinforcement learning approach[J]．IEEE Transactions on Smart Grid，2023，14(1)：424-439． doi:10.1109/tsg.2022.3185138
95	LI X， LI C， LIU X，et al ．Two-stage community energy trading under end-edge-cloud orchestration[J]．IEEE Internet of Things Journal，2023，10(3)：1961-1972． doi:10.1109/jiot.2022.3140336
96	宋嘉启，杨永标，徐青山，等．多虚拟电厂参与日前电力市场的鲁棒竞标博弈方法[J]．电力自动化设备，2023，43(5)：77-85．
	SONG J Q， YANG Y B， XU Q S，et al ．Robust bidding game method for multiple virtual power plants to participate in the day-ahead power market[J]．Electric Power Automation Equipment，2023，43(5)：77-85．
97	GAO H， ZHANG F， XIANG Y，et al ．Bounded rationality based multi-VPP trading in local energy markets：a dynamic game approach with different trading targets[J]．CSEE Journal of Power and Energy Systems，2023，9(1)：221-234．

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