中国电力 ›› 2024, Vol. 57 ›› Issue (12): 82-96.DOI: 10.11930/j.issn.1004-9649.202409025
仪忠凯1(), 侯朗博1(
), 徐英1(
), 吴永峰1, 李志民1, 吴俊飞2, 冯腾3, 韩柳3
收稿日期:
2024-09-09
出版日期:
2024-12-28
发布日期:
2024-12-27
作者简介:
仪忠凯(1995—),男,博士,副教授,从事虚拟电厂聚合调控及其运营模式、运筹优化和机器学习方法在电力系统中的应用研究,E-mail:yzk_article@163.com基金资助:
Zhongkai YI1(), Langbo HOU1(
), Ying XU1(
), Yongfeng WU1, Zhimin LI1, Junfei WU2, Teng FENG3, Liu HAN3
Received:
2024-09-09
Online:
2024-12-28
Published:
2024-12-27
Supported by:
摘要:
灵活性资源技术快速发展、数量与日俱增,为提升电力系统灵活性和经济效益提供了巨大潜力。虚拟电厂通过对海量异构灵活性资源协调管理和聚合调控,为支撑海量异构分散式资源参与电力市场交易提供了有效手段。针对电力市场环境下虚拟电厂中多元海量异构灵活性资源的难以高效管控、不同运营主体之间存在效益冲突、能量和辅助服务之间具有耦合关系等问题,对电力市场环境下灵活性资源虚拟电厂全链路运营过程中面临的技术挑战、当前研究进展和未来攻关方向进行了分析和总结。从灵活性资源虚拟电厂的聚合建模、竞标报价、运行控制3方面展开分析,对相关主流技术方法的模型特征、关联关系和适用场景进行了系统性归纳,以此全面认识电力市场环境下灵活性资源虚拟电厂涉及的关键科学问题、核心理论方法和主流技术方案等,为灵活性资源虚拟电厂的未来研究方向和技术发展提供建议。
仪忠凯, 侯朗博, 徐英, 吴永峰, 李志民, 吴俊飞, 冯腾, 韩柳. 市场环境下灵活性资源虚拟电厂聚合调控关键技术综述[J]. 中国电力, 2024, 57(12): 82-96.
Zhongkai YI, Langbo HOU, Ying XU, Yongfeng WU, Zhimin LI, Junfei WU, Teng FENG, Liu HAN. Aggregation and Operation Key Technology of Virtual Power Plant with Flexible Resources in Electricity Market Environment: Review[J]. Electric Power, 2024, 57(12): 82-96.
1 | 国家能源局. 进一步构建高质量充电基础设施体系, 更好满足人民群众购置和使用新能源汽车需要[EB/OL]. (2024-01-25) [2024-05-15]. https://www.nea.gov.cn/2024-01/25/c_1310762007.htm. |
2 | 中国电力企业联合会. 中国电力行业年度发展报告2023[EB/OL]. (2023-08-07) [2024-05-15]. https://cec.org.cn/detail/index.html?3-322624. |
3 | HE G N, CHEN Q X, KANG C Q, et al. Optimal bidding strategy of battery storage in power markets considering performance-based regulation and battery cycle life[J]. IEEE Transactions on Smart Grid, 2015, 7 (5): 2359- 2367. |
4 | 陈会来, 张海波, 王兆霖. 不同类型虚拟电厂市场及调度特性参数聚合算法研究综述[J]. 中国电机工程学报, 2023, 43 (1): 15- 28. |
CHEN Huilai, ZHANG Haibo, WANG Zhaolin. A review of market and scheduling characteristic parameter aggregation algorithm of different types of virtual power plants[J]. Proceedings of the CSEE, 2023, 43 (1): 15- 28. | |
5 |
CAMAL S, MICHIORRI A, KARINIOTAKIS G. Optimal offer of automatic frequency restoration reserve from a combined PV/wind virtual power plant[J]. IEEE Transactions on Power Systems, 2018, 33 (6): 6155- 6170.
DOI |
6 |
PONOĆKO J, MILANOVIĆ J V. Forecasting demand flexibility of aggregated residential load using smart meter data[J]. IEEE Transactions on Power Systems, 2018, 33 (5): 5446- 5455.
DOI |
7 |
王宣元, 刘蓁. 虚拟电厂参与电网调控与市场运营的发展与实践[J]. 电力系统自动化, 2022, 46 (18): 158- 168.
DOI |
WANG Xuanyuan, LIU Zhen. Development and practice of virtual power plant participating in power grid regulation and market operation[J]. Automation of Electric Power Systems, 2022, 46 (18): 158- 168.
DOI |
|
8 |
殷爽睿, 艾芊, 宋平, 等. 虚拟电厂分层互动模式与可信交易框架研究与展望[J]. 电力系统自动化, 2022, 46 (18): 118- 128.
DOI |
YIN Shuangrui, AI Qian, SONG Ping, et al. Research and prospect of hierarchical interaction mode and trusted transaction framework for virtual power plant[J]. Automation of Electric Power Systems, 2022, 46 (18): 118- 128.
DOI |
|
9 | 严兴煜, 高赐威, 陈涛, 等. 数字孪生虚拟电厂系统框架设计及其实践展望[J]. 中国电机工程学报, 2023, 43 (2): 604- 619. |
YAN Xingyu, GAO Ciwei, CHEN Tao, et al. Framework design and application prospect for digital twin virtual power plant system[J]. Proceedings of the CSEE, 2023, 43 (2): 604- 619. | |
10 |
徐峰, 何宇俊, 李建标, 等. 考虑需求响应的虚拟电厂商业机制研究综述[J]. 电力需求侧管理, 2019, 21 (3): 2- 6.
DOI |
XU Feng, HE Yujun, LI Jianbiao, et al. Review of research on commercial mechanism for virtual power plant considering demand response[J]. Power Demand Side Management, 2019, 21 (3): 2- 6.
DOI |
|
11 | SONG J J, LI X. Review of research on optimal scheduling method of virtual power plant[C]//2023 7th International Conference on Smart Grid and Smart Cities (ICSGSC). Lanzhou, China. IEEE, 2023: 647–652. |
12 | 田立亭, 程林, 郭剑波, 等. 虚拟电厂对分布式能源的管理和互动机制研究综述[J]. 电网技术, 2020, 44 (6): 2097- 2108. |
TIAN Liting, CHENG Lin, GUO Jianbo, et al. A review on the study of management and interaction mechanism for distributed energy in virtual power plants[J]. Power System Technology, 2020, 44 (6): 2097- 2108. | |
13 | 李彬, 郝一浩, 祁兵, 等. 支撑虚拟电厂互动的信息通信关键技术研究展望[J]. 电网技术, 2022, 46 (5): 1761- 1770. |
LI Bin, HAO Yihao, QI Bing, et al. Key information communication technologies supporting virtual power plant interaction[J]. Power System Technology, 2022, 46 (5): 1761- 1770. | |
14 | 卫璇, 潘昭光, 王彬, 等. 云管边端架构下虚拟电厂资源集群与协同调控研究综述及展望[J]. 全球能源互联网, 2020, 3 (6): 539- 551. |
WEI Xuan, PAN Zhaoguang, WANG Bin, et al. Review on virtual power plant resource aggregation and collaborative regulation using cloud-tube-edge-end architecture[J]. Journal of Global Energy Interconnection, 2020, 3 (6): 539- 551. | |
15 |
ŠIKŠNYS L, VALSOMATZIS E, HOSE K, et al. Aggregating and disaggregating flexibility objects[J]. IEEE Transactions on Knowledge and Data Engineering, 2015, 27 (11): 2893- 2906.
DOI |
16 |
YI Z K, XU Y L, 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 |
17 | 李晓舟, 秦文萍, 景祥, 等. 计及不确定风险和多主体协同的虚拟电厂参与主辅市场联合优化策略[J/OL]. 电网技术, 1–16 [2024-09-15]. |
LI Xiaozhou, QIN Wenping, JING Xiang, et al. Joint optimization strategy for virtual power plant participation in primary and ancillary markets considering uncertain risks and multi-agent collaboration[J/OL]. Power System Technology, 1–16 [2024-09-15]. | |
18 | 康重庆, 陈启鑫, 苏剑, 等. 新型电力系统规模化灵活资源虚拟电厂科学问题与研究框架[J]. 电力系统自动化, 2022, 46 (18): 3- 14. |
KANG Chongqing, CHEN Qixin, SU Jian, et al. Scientific problems and research framework of virtual power plant with enormous flexible distributed energy resources in new power system[J]. Automation of Electric Power Systems, 2022, 46 (18): 3- 14. | |
19 | 刘淳, 王仕俊, 赵燕玲, 等. 区块链技术在虚拟电厂交易中的应用综述[J]. 电力建设, 2023, 44 (4): 130- 144. |
LIU Chun, WANG Shijun, ZHAO Yanling, et al. Review of the application of blockchain technology in virtual power plant transactions[J]. Electric Power Construction, 2023, 44 (4): 130- 144. | |
20 | HU Y, LIU D N, JIA H P, et al. Review of game theories applied to virtual power plants[C]//2021 International Conference on Power System Technology (POWERCON). Haikou, China. IEEE, 2021: 887–891. |
21 | ZHANG J, LI W. Review of revenue allocation method for virtual power plants[C]//2022 IEEE International Conference on Power Systems and Electrical Technology (PSET). Aalborg, Denmark. IEEE, 2022: 430–433. |
22 |
郁海彬, 张煜晨, 刘扬洋, 等. 碳交易机制下多主体虚拟电厂参与电力市场的优化调度竞标策略[J]. 发电技术, 2023, 44 (5): 634- 644.
DOI |
YU Haibin, ZHANG Yuchen, LIU Yangyang, et al. Optimal dispatching bidding strategy of multi-agent virtual power plant participating in electricity market under carbon trading mechanism[J]. Power Generation Technology, 2023, 44 (5): 634- 644.
DOI |
|
23 | VRETTOS E, ANDERSSON G. Scheduling and provision of secondary frequency reserves by aggregations of commercial buildings[J]. IEEE Transactions on Sustainable Energy, 2015, 7 (2): 850- 864. |
24 | 国家能源局. 国家能源局关于印发《2023年能源监管工作要点》的通知[EB/OL]. (2023.01.04) [2023.11.23]. http://zfxxgk.nea.gov.cn/2023-01/04/c_1310691552.htm. |
25 | 山西省能源局. 关于印发《虚拟电厂建设与运营管理实施方案》的通知[EB/OL]. (2022.06.23) [2023.11.23]. http://www.shanxi.gov.cn/zfxxgk/zfxxgkzl/zc/xzgfxwj/bmgfxwj1/szfzsjg_76500/snyj_76509/202301/t20230128_7876895.shtml. |
26 | 深圳特区报. 深圳市虚拟电厂运行指导文件发布[EB/OL]. (2023.07.17) [2023.11.23]. http://www.sz.gov.cn/cn/xxgk/zfxxgj/zwdt/content/post_10716888.html. |
27 | 广州市工业和信息化局. 关于印发《广州市虚拟电厂实施细则》通知[EB/OL]. (2021.07.08) [2023.11.23]. https://www.gz.gov.cn/gfxwj/sbmgfxwj/gzsgyhxxhj/content/post_7364052.html. |
28 | 仪忠凯, 许银亮, 吴文传. 考虑虚拟电厂多类电力产品的配电侧市场出清策略[J]. 电力系统自动化, 2020, 44 (22): 143- 151. |
YI Zhongkai, XU Yinliang, WU Wenchuan. Market clearing strategy for distribution system considering multiple power commodities offered by virtual power plant[J]. Automation of Electric Power Systems, 2020, 44 (22): 143- 151. | |
29 | NGUYEN D T, LE L B. Joint optimization of electric vehicle and home energy scheduling considering user comfort preference[J]. IEEE Transactions on Smart Grid, 2013, 5 (1): 188- 199. |
30 | ALI SAJJAD I, CHICCO G, NAPOLI R. Definitions of demand flexibility for aggregate residential loads[J]. IEEE Transactions on Smart Grid, 2016, 7 (6): 2633- 2643. |
31 | ZHANG H C, HU Z C, XU Z W, et al. Evaluation of achievable vehicle-to-grid capacity using aggregate PEV model[J]. IEEE Transactions on Power Systems, 2016, 32 (1): 784- 794. |
32 | MÜLLER F L, SZABÓ J, SUNDSTRÖM O, et al. Aggregation and disaggregation of energetic flexibility from distributed energy resources[J]. IEEE Transactions on Smart Grid, 2017, 10 (2): 1205- 1214. |
33 |
YI Z K, XU Y L, WANG H Z, et al. Coordinated operation strategy for a virtual power plant with multiple DER aggregators[J]. IEEE Transactions on Sustainable Energy, 2021, 12 (4): 2445- 2458.
DOI |
34 | XU Z W, DENG T H, HU Z C, et al. Data-driven pricing strategy for demand-side resource aggregators[J]. IEEE Transactions on Smart Grid, 2016, 9 (1): 57- 66. |
35 | XU Z W, HU Z C, SONG Y H, et al. Risk-averse optimal bidding strategy for demand-side resource aggregators in day-ahead electricity markets under uncertainty[J]. IEEE Transactions on Smart Grid, 2015, 8 (1): 96- 105. |
36 | 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. |
37 |
ALTHOFF M, STURSBERG O, BUSS M. Computing reachable sets of hybrid systems using a combination of zonotopes and polytopes[J]. Nonlinear Analysis: Hybrid Systems, 2010, 4 (2): 233- 249.
DOI |
38 | QU M, DING T, WEI W, et al. An analytical method for generation unit aggregation in virtual power plants[J]. IEEE Transactions on Smart Grid, 2020, 11 (6): 5466- 5469. |
39 | CHEN X, DALL’ANESE E, ZHAO C H, et al. Aggregate power flexibility in unbalanced distribution systems[J]. IEEE Transactions on Smart Grid, 2019, 11 (1): 258- 269. |
40 | 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, 2018, 10 (5): 5212- 5222. |
41 |
ZHAO L, ZHANG W, HAO H, et al. A geometric approach to aggregate flexibility modeling of thermostatically controlled loads[J]. IEEE Transactions on Power Systems, 2017, 32 (6): 4721- 4731.
DOI |
42 | MADJIDIAN D, ROOZBEHANI M, DAHLEH M A. Energy storage from aggregate deferrable demand: fundamental trade-offs and scheduling policies[J]. IEEE Transactions on Power Systems, 2017, 33 (4): 3573- 3586. |
43 | HUGHES J T, DOMÍNGUEZ-GARCÍA A D, POOLLA K. Identification of virtual battery models for flexible loads[J]. IEEE Transactions on Power Systems, 2016, 31 (6): 4660- 4669. |
44 |
YI Z K, XU Y L, GU W, et al. Aggregate operation model for numerous small-capacity distributed energy resources considering uncertainty[J]. IEEE Transactions on Smart Grid, 2021, 12 (5): 4208- 4224.
DOI |
45 | 孙东磊, 王宪, 孙毅, 等. 基于多面体不确定集合的电力系统灵活性量化评估方法[J]. 中国电力, 2024, 57 (9): 146- 155. |
SUN Donglei, WANG Xian, SUN Yi, et al. Polyhedral uncertainty set based power system flexibility quantitative assessment[J]. Electric Power, 2024, 57 (9): 146- 155. | |
46 | 崔屹峰, 李珍国, 贾清泉, 等. 基于参数辨识与状态估计的温控负荷响应能力动态评估[J]. 电力系统自动化, 2021, 45 (1): 150- 158. |
CUI Yifeng, LI Zhenguo, JIA Qingquan, et al. Dynamic evaluation of response potential of thermostatically controlled load based on parameter identification and state estimation[J]. Automation of Electric Power Systems, 2021, 45 (1): 150- 158. | |
47 | CONTRERAS D A, RUDION K. Computing the feasible operating region of active distribution networks: comparison and validation of random sampling and optimal power flow based methods[J]. IET Generation, Transmission & Distribution, 2021, 15(10): 1600–1612. |
48 | AGEEVA L, MAJIDI M, POZO D. Analysis of feasibility region of active distribution networks[C]//2019 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE). Moscow, Russia. IEEE, 2019: 1–5. |
49 |
TAN Z F, ZHONG H W, XIA Q, et al. Estimating the robust P-Q capability of a technical virtual power plant under uncertainties[J]. IEEE Transactions on Power Systems, 2020, 35 (6): 4285- 4296.
DOI |
50 |
CHEN L, TANG Z Y, HE S J, et al. Feasible operation region estimation of virtual power plant considering heterogeneity and uncertainty of distributed energy resources[J]. Applied Energy, 2024, 362, 123000.
DOI |
51 |
CHEN X, LI N. Leveraging two-stage adaptive robust optimization for power flexibility aggregation[J]. IEEE Transactions on Smart Grid, 2021, 12 (5): 3954- 3965.
DOI |
52 | CUI B, ZAMZAM A, BERNSTEIN A. Network-cognizant time-coupled aggregate flexibility of distribution systems under uncertainties[J]. IEEE Control Systems Letters, 2020, 5 (5): 1723- 1728. |
53 |
WANG S Y, WU W C. Aggregate flexibility of virtual power plants with temporal coupling constraints[J]. IEEE Transactions on Smart Grid, 2021, 12 (6): 5043- 5051.
DOI |
54 | WANG S, WU W, CHEN Q, et al. Stochastic flexibility evaluation for virtual power plant by aggregating distributed energy resources[J]. CSEE Journal of Power and Energy Systems, 2024, 10 (3): 988- 999. |
55 | KARIMYAN P, ABEDI M, HOSSEINIAN S H, et al. Stochastic approach to represent distributed energy resources in the form of a virtual power plant in energy and reserve markets[J]. IET Generation, Transmission & Distribution, 2016, 10 (8): 1792- 1804. |
56 | SONG M, AMELIN M. Purchase bidding strategy for a retailer with flexible demands in day-ahead electricity market[C]//2017 IEEE Manchester PowerTech. Manchester, UK. IEEE, 2017: 1. |
57 | 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, 2010, 26 (2): 949- 956. |
58 | 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. |
59 | 宋懿洋, 申萌均, 王剑晓, 等. 基于多参数规划的虚拟电厂边际成本函数解析表征方法[J/OL]. 电网技术: 1–11 [2024-09-16]. https://doi.org/10.13335/j.1000-3673.pst.2024.0892. |
SONG Yiyang, SHEN Mengjun, WANG Jianxiao, et al. Analytical characterization of marginal cost function for virtual power plants based on multi-parametric programming [J/OL]. Power System Technology: 1–11 [2024-09-16]. https://doi.org/10.13335/j.1000-3673.pst.2024.0892. | |
60 | 周挺, 谭玉东, 孙晋, 等. 虚拟电厂参与能量与辅助服务市场的协同优化策略[J]. 中国电力, 2024, 57 (1): 61- 70. |
ZHOU Ting, TAN Yudong, SUN Jin, et al. Collaborative optimization strategy for virtual power plant participating in energy and ancillary service market[J]. Electric Power, 2024, 57 (1): 61- 70. | |
61 | 关轶文, 张宸, 张正, 等. 计及多维源荷相关性和调峰能力的虚拟电厂规划[J/OL]. 电网技术: 1–13[2024-09-17]. https://doi.org/10.13335/j.1000-3673.pst.2024.0140. |
GUAN Yiwen, ZHANG Chen, ZHANG Zheng, et al. Virtual power plant planning considering multi-dimensional generation-load correlation and peak shaving ability [J/OL]. Power System Technology: 1–13[2024-09-17]. https://doi.org/10.13335/j.1000-3673.pst.2024.0140. | |
62 | LI T, SHAHIDEHPOUR M. Strategic bidding of transmission-constrained GENCOs with incomplete information[J]. IEEE Transactions on Power Systems, 2005, 20 (1): 437- 447. |
63 | BAHRAMARA S, YAZDANI-DAMAVANDI M, CONTRERAS J, et al. Modeling the strategic behavior of a distribution company in wholesale energy and reserve markets[J]. IEEE Transactions on Smart Grid, 2017, 9 (4): 3857- 3870. |
64 | CUI H T, LI F X, FANG X, et al. Bilevel arbitrage potential evaluation for grid-scale energy storage considering wind power and LMP smoothing effect[J]. IEEE Transactions on Sustainable Energy, 2017, 9 (2): 707- 718. |
65 | KAZEMPOUR S J, CONEJO A J, RUIZ C. Strategic bidding for a large consumer[J]. IEEE Transactions on Power Systems, 2014, 30 (2): 848- 856. |
66 | YAZDANI-DAMAVANDI M, NEYESTANI N, CHICCO G, et al. Aggregation of distributed energy resources under the concept of multienergy players in local energy systems[J]. IEEE Transactions on Sustainable Energy, 2017, 8 (4): 1679- 1693. |
67 | YAZDANI-DAMAVANDI M, NEYESTANI N, SHAFIE-KHAH M, et al. Strategic behavior of multi-energy players in electricity markets as aggregators of demand side resources using a bi-level approach[J]. IEEE Transactions on Power Systems, 2017, 33 (1): 397- 411. |
68 |
孙勇, 仪忠凯, 李宝聚, 等. 多元零售市场环境下电力聚合商有功-无功协同优化竞标策略[J]. 电力建设, 2024, 45 (10): 146- 157.
DOI |
SUN Yong, YI Zhongkai, LI Baoju, et al. Active and reactive power collaborative bidding strategy for the power aggregator in multiple categories of retail markets[J]. Electric Power Construction, 2024, 45 (10): 146- 157.
DOI |
|
69 | 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 Fei, SHAO Ping, WANG Xuanyuan, et al. Bi-level bidding strategies for virtual power plants considering purchase and sale risks[J]. Electric Power Construction, 2020, 41 (6): 28- 35. | |
70 | SONG M, AMELIN M. Price-maker bidding in day-ahead electricity market for a retailer with flexible demands[J]. IEEE Transactions on Power Systems, 2017, 33 (2): 1948- 1958. |
71 |
DING H J, PINSON P, HU Z C, et al. Optimal offering and operating strategy for a large wind-storage system as a price maker[J]. IEEE Transactions on Power Systems, 2017, 32 (6): 4904- 4913.
DOI |
72 |
SHAFIEE S, ZAMANI-DEHKORDI P, ZAREIPOUR H, et al. Economic assessment of a price-maker energy storage facility in the Alberta electricity market[J]. Energy, 2016, 111, 537- 547.
DOI |
73 | ARTEAGA J, ZAREIPOUR H. A price-maker/price-taker model for the operation of battery storage systems in electricity markets[J]. IEEE Transactions on Smart Grid, 2019, 10 (6): 6912- 6920. |
74 | KOHANSAL M, MOHSENIAN-RAD H. Price-maker economic bidding in two-settlement pool-based markets: the case of time-shiftable loads[J]. IEEE Transactions on Power Systems, 2015, 31 (1): 695- 705. |
75 | SHAFIEE S, ZAREIPOUR H, KNIGHT A M. Developing bidding and offering curves of a price-maker energy storage facility based on robust optimization[J]. IEEE Transactions on Smart Grid, 2017, 10 (1): 650- 660. |
76 |
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 |
77 | NGUYEN D T, LE L B. Risk-constrained profit maximization for microgrid aggregators with demand response[J]. IEEE Transactions on Smart Grid, 2014, 6 (1): 135- 146. |
78 | VAGROPOULOS S I, KYRIAZIDIS D K, BAKIRTZIS A G. Real-time charging management framework for electric vehicle aggregators in a market environment[J]. IEEE Transactions on Smart Grid, 2015, 7 (2): 948- 957. |
79 | SARKER M R, DVORKIN Y, ORTEGA-VAZQUEZ M A. Optimal participation of an electric vehicle aggregator in day-ahead energy and reserve markets[J]. IEEE Transactions on Power Systems, 2015, 31 (5): 3506- 3515. |
80 |
VAGROPOULOS S I, BAKIRTZIS A G. Optimal bidding strategy for electric vehicle aggregators in electricity markets[J]. IEEE Transactions on Power Systems, 2013, 28 (4): 4031- 4041.
DOI |
81 | ZHANG T, CHEN S X, GOOI H B, et al. A hierarchical EMS for aggregated BESSs in energy and performance-based regulation markets[J]. IEEE Transactions on Power Systems, 2016, 32 (3): 1751- 1760. |
82 | HE G N, CHEN Q X, KANG C Q, et al. Cooperation of wind power and battery storage to provide frequency regulation in power markets[J]. IEEE Transactions on Power Systems, 2016, 32 (5): 3559- 3568. |
83 | YI Z K, XU Y L, 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, 2019, 11 (3): 1332- 1346. |
84 | YI Z K, XU Y L, WEI X, et al. Robust security constrained energy and regulation service bidding strategy for a virtual power plant[J]. CSEE Journal of Power and Energy Systems, 2022, PP (99): 1- 11. |
85 |
梁泽琪, 周云, 冯冬涵, 等. 考虑电碳绿证市场耦合的园区综合能源系统日前优化调度[J]. 电力建设, 2023, 44 (12): 43- 53.
DOI |
LIANG Zeqi, ZHOU Yun, FENG Donghan, et al. Day-ahead optimal scheduling of park-integrated energy system considering electricity-carbon-green certificate market[J]. Electric Power Construction, 2023, 44 (12): 43- 53.
DOI |
|
86 | 刘晓军, 聂凡杰, 杨冬锋, 等. 碳捕集电厂-电转气联合运行模式下考虑绿证-碳交易机制的综合能源系统低碳经济调度[J]. 电网技术, 2023, 47 (6): 2207- 2222. |
LIU Xiaojun, NIE Fanjie, YANG Dongfeng, et al. Low carbon economic dispatch of integrated energy systems considering green certificates-carbon trading mechanism under CCPP-P2G joint operation model[J]. Power System Technology, 2023, 47 (6): 2207- 2222. | |
87 | 崔杨, 沈卓, 王铮, 等. 考虑绿证–碳排等价交互机制的区域综合能源系统绿色调度[J]. 中国电机工程学报, 2023, 43 (12): 4508- 4517. |
CUI Yang, SHEN Zhuo, WANG Zheng, et al. Green dispatch of regional integrated energy system considering green certificate-carbon emission equivalent interaction mechanism[J]. Proceedings of the CSEE, 2023, 43 (12): 4508- 4517. | |
88 | 周伟, 孙永辉, 谢东亮, 等. 计及改进阶梯型碳交易和热电联产机组灵活输出的园区综合能源系统低碳调度[J]. 电网技术, 2024, 48 (1): 61- 73. |
ZHOU Wei, SUN Yonghui, XIE Dongliang, et al. Low-carbon dispatch of park-level integrated energy system considering improved ladder-type carbon trading and flexible output of combined heat and power unit[J]. Power System Technology, 2024, 48 (1): 61- 73. | |
89 | AN Y, ZENG B. Exploring the modeling capacity of two-stage robust optimization: variants of robust unit commitment model[J]. IEEE Transactions on Power Systems, 2014, 30 (1): 109- 122. |
90 |
NING C, YOU F Q. Data-driven adaptive robust unit commitment under wind power uncertainty: a Bayesian nonparametric approach[J]. IEEE Transactions on Power Systems, 2019, 34 (3): 2409- 2418.
DOI |
91 |
朱誉, 仪忠凯, 陆秋瑜, 等. 基于典型场景集的虚拟电厂与配电网协同定价策略[J]. 电力建设, 2019, 40 (6): 74- 85.
DOI |
ZHU Yu, YI Zhongkai, LU Qiuyu, et al. Collaborative pricing strategy of virtual power plant and distribution network considering typical scenes[J]. Electric Power Construction, 2019, 40 (6): 74- 85.
DOI |
|
92 |
段翩, 朱建全, 刘明波. 基于双层模糊机会约束规划的虚拟电厂优化调度[J]. 电工技术学报, 2016, 31 (9): 58- 67.
DOI |
DUAN Pian, ZHU Jianquan, LIU Mingbo. Optimal dispatch of virtual power plant based on bi-level fuzzy chance constrained programming[J]. Transactions of China Electrotechnical Society, 2016, 31 (9): 58- 67.
DOI |
|
93 | 范松丽, 艾芊, 贺兴. 基于机会约束规划的虚拟电厂调度风险分析[J]. 中国电机工程学报, 2015, 35 (16): 4025- 4034. |
FAN Songli, AI Qian, HE Xing. Risk analysis on dispatch of virtual power plant based on chance constrained programming[J]. Proceedings of the CSEE, 2015, 35 (16): 4025- 4034. | |
94 |
鲍谚, 石锦凯, 陈世豪. 考虑负荷预测不确定性的快充站储能鲁棒实时控制策略[J]. 电力系统自动化, 2023, 47 (10): 107- 116.
DOI |
BAO Yan, SHI Jinkai, CHEN Shihao. Robust real-time control strategy for energy storage in fast charging station considering load forecasting uncertainty[J]. Automation of Electric Power Systems, 2023, 47 (10): 107- 116.
DOI |
|
95 | ZHAO H T, WANG X Y, WANG B, et al. A multi time-scale robust aggregation model for virtual power plant based on rolling correction[C]//2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2). Chengdu, China. IEEE, 2022: 2574–2579. |
96 |
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 |
YAN Peng, ZENG Siming, LI Tiecheng, et al. Optimal scheduling of virtual power plant participating in AGC based on improved quantum genetic algorithm on multi-time scale[J]. Power System and Clean Energy, 2023, 39 (3): 23- 32.
DOI |
|
97 | KHAVARI F, BADRI A, ZANGENEH A. Energy management in multi-microgrids via an aggregator to override point of common coupling congestion[J]. IET Generation, Transmission & Distribution, 2019, 13(5): 634–642. |
98 | ASIMAKOPOULOU G E, DIMEAS A L, HATZIARGYRIOU N D. Leader-follower strategies for energy management of multi-microgrids[J]. IEEE Transactions on Smart Grid, 2013, 4 (4): 1909- 1916. |
99 | DU Y, LI F X. A hierarchical real-time balancing market considering multi-microgrids with distributed sustainable resources[J]. IEEE Transactions on Sustainable Energy, 2018, 11 (1): 72- 83. |
100 | 周步祥, 张越, 臧天磊, 等. 基于区块链的多虚拟电厂主从博弈优化运行[J]. 电力系统自动化, 2022, 46 (1): 155- 163. |
ZHOU Buxiang, ZHANG Yue, ZANG Tianlei, et al. Blockchain-based stackelberg game optimal operation of multiple virtual power plants[J]. Automation of Electric Power Systems, 2022, 46 (1): 155- 163. |
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