| [1] McPherson M, Stoll B. Demand response for variable renewable energy integration: a proposed approach and its impacts[J]. Energy, 2020, 197: 117205.
[2] 贾雨龙, 米增强, 余洋, 等. 计及不确定性的柔性负荷聚合商随机-鲁棒投标决策模型[J]. 电工技术学报, 2019, 34(19): 4096-4107.
Jia Yulong, Mi Zengqiang, Yu Yang, et al.Stochastic-robust decision-making model for flexible load aggregator considering uncertainties[J]. Transactions of China Electrotechnical Society, 2019, 34(19): 4096-4107.
[3] 姜云鹏, 任洲洋, 李秋燕, 等. 考虑多灵活性资源协调调度的配电网新能源消纳策略[J]. 电工技术学报, 2022, 37(7): 1820-1835.
Jiang Yunpeng, Ren Zhouyang, Li Qiuyan, et al.An accommodation strategy for renewable energy in distribution network considering coordinated dispatching of multi-flexible resources[J]. Transactions of China Electrotechnical Society, 2022, 37(7): 1820-1835.
[4] 李勇, 姚天宇, 乔学博, 等. 基于联合时序场景和源网荷协同的分布式光伏与储能优化配置[J]. 电工技术学报, 2022, 37(13): 3289-3303.
Li Yong, Yao Tianyu, Qiao Xuebo, et al.Optimal configuration of distributed photovoltaic and energy storage system based on joint sequential scenario and source-network-load coordination[J]. Transactions of China Electrotechnical Society, 2022, 37(13): 3289-3303.
[5] 周欣怡, 齐先军, 吴红斌, 等. 提高需求响应可靠性的储能优化配置研究[J]. 电力系统保护与控制, 2021, 49(2): 107-114.
Zhou Xinyi, Qi Xianjun, Wu Hongbin, et al.Research on optimal allocation of energy storage to improve the reliability of demand response[J]. Power System Protection and Control, 2021, 49(2): 107-114.
[6] 何绍民, 杨欢, 王海兵, 等. 电动汽车功率控制单元软件数字化设计研究综述及展望[J]. 电工技术学报, 2021, 36(24): 5101-5114.
He Shaomin, Yang Huan, Wang Haibing, et al.Review and prospect of software digital design for electric vehicle power control unit[J]. Transactions of China Electrotechnical Society, 2021, 36(24): 5101-5114.
[7] 张开宇, 宋依群, 严正. 考虑用户违约可能的负荷聚合商储能配置策略[J]. 电力系统自动化, 2015, 39(17): 127-133.
Zhang Kaiyu, Song Yiqun, Yan Zheng.Energy storage capacity optimization for load aggregators considering probability of demand response resources' breach[J]. Automation of Electric Power Systems, 2015, 39(17): 127-133.
[8] 麻秀范, 陈静, 余思雨, 等. 计及容量市场的用户侧储能优化配置研究[J]. 电工技术学报, 2020, 35(19): 4028-4037.
Ma Xiufan, Chen Jing, Yu Siyu, et al.Research on user side energy storage optimization configuration considering capacity market[J]. Transactions of China Electrotechnical Society, 2020, 35(19): 4028-4037.
[9] 孙伟卿, 向威, 裴亮, 等. 电力辅助服务市场下的用户侧广义储能控制策略[J]. 电力系统自动化, 2020, 44(2): 68-76.
Sun Weiqing, Xiang Wei, Pei Liang, et al.Generalized energy storage control strategies on user side in power ancillary service market[J]. Automation of Electric Power Systems, 2020, 44(2): 68-76.
[10] Sun Weiqing, Zhang Jie, Zeng Pingliang, et al.Energy storage configuration and day-ahead pricing strategy for electricity retailers considering demand response profit[J]. International Journal of Electrical Power & Energy Systems, 2022, 136: 107633.
[11] 张明霞, 闫涛, 来小康, 等. 电网新功能形态下储能技术的发展愿景和技术路径[J]. 电网技术, 2018, 42(5): 1370-1377.
Zhang Mingxia, Yan Tao, Lai Xiaokang, et al.Technology vision and route of energy storage under new power grid function configuration[J]. Power System Technology, 2018, 42(5): 1370-1377.
[12] 杨帆, 王维庆, 程静, 等. 基于误差分配原则的发电侧共享储能容量规划研究[J]. 电力系统保护与控制, 2022, 50(7): 91-102.
Yang Fan, Wang Weiqing, Cheng Jing, et al.Capacity planning of shared energy storage on the generation side based on the error distribution principle[J]. Power System Protection and Control, 2022, 50(7): 91-102.
[13] 侯金鸣, 孙蔚, 肖晋宇, 等. 电力系统关键技术进步与低碳转型的协同优化[J]. 电力系统自动化, 2022, 46(13): 1-9.
Hou Jinming, Sun Wei, Xiao Jinyu, et al.Collaborative optimization of key technology progress and low-carbon transition of power systems[J]. Automation of Electric Power Systems, 2022, 46(13): 1-9.
[14] . 国家能源局. “十四五”新型储能发展实施方案[EB/OL]. [2022-01-29]. http://zfxxgk.nea.gov.cn/2022-01/29/c_1310523208.htm.
National Energy Administration. Implementation plan for the development of new energy storage in the 14th Five-Year Plan [EB/OL]. [2022-01-29]. http://zfxxgk.nea.gov.cn/2022-01/29/c_1310523208.htm.
[15] Lombardi P, Schwabe F.Sharing economy as a new business model for energy storage systems[J]. Applied Energy, 2017, 188: 485-496.
[16] 叶晨, 王蓓蓓, 薛必克, 等. 考虑超售的共享分布式光储混合运营模式协同策略研究[J]. 电工技术学报, 2022, 37(7): 1836-1846.
Ye Chen, Wang Beibei, Xue Bike, et al.Study on the coordination strategy of sharing distributed photovoltaic energy storage hybrid operation mode considering overselling[J]. Transactions of China Electrotechnical Society, 2022, 37(7): 1836-1846.
[17] Henni S, Staudt P, Weinhardt C.A sharing economy for residential communities with PV-coupled battery storage: benefits, pricing and participant matching[J]. Applied Energy, 2021, 301: 117351.
[18] 孙偲, 郑天文, 陈来军, 等. 基于组合双向拍卖的共享储能机制研究[J]. 电网技术, 2020, 44(5): 1732-1739.
Sun Cai, Zheng Tianwen, Chen Laijun, et al.Energy storage sharing mechanism based on combinatorial double auction[J]. Power System Technology, 2020, 44(5): 1732-1739.
[19] 杨骏伟, 夏云睿, 王一, 等. 电力市场环境下储能使用权出清模型及定价方法[J]. 电网技术, 2020, 44(5): 1750-1759.
Yang Junwei, Xia Yunrui, Wang Yi, et al.Clearing model and pricing rules of energy storage rights in electricity market[J]. Power System Technology, 2020, 44(5): 1750-1759.
[20] 龚诚嘉锐, 林顺富, 边晓燕, 等. 基于多主体主从博弈的负荷聚合商经济优化模型[J]. 电力系统保护与控制, 2022, 50(2): 30-40.
Gong Chengjiarui, Lin Shunfu, Bian Xiaoyan, et al.Economic optimization model of a load aggregator based on the multi-agent Stackelberg game[J]. Power System Protection and Control, 2022, 50(2): 30-40.
[21] Walker A, Kwon S.Design of structured control policy for shared energy storage in residential community: a stochastic optimization approach[J]. Applied Energy, 2021, 298: 117182.
[22] Li Songrui, Zhang Lihui, Nie Lei, et al.Trading strategy and benefit optimization of load aggregators in integrated energy systems considering integrated demand response: a hierarchical Stackelberg game[J]. Energy, 2022, 249: 123678.
[23] 黄小庆, 李隆意, 徐鹏鑫, 等. 多主体博弈共赢的电动汽车充电桩共享方法[J/OL]. 电工技术学报: 1-16[2022-08-01].https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CAPJ&dbname=CAPJLAST&filename=DGJS20220708000&uniplatform=NZKPT&v=DGsAAIqa5NG1m5Kehnu43TapB5fMllo0kLj4yLcEpeg4UeysFpSHxlYIzJvCQPGi.
Huang Xiaoqing, Li Longyi, Xu Pengxin, et al.Electric vehicle charging pile sharing method based on multi-subject game and win-win[J/OL]. Transactions of China Electrotechnical Society: 1-16[2022-08-01].https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CAPJ&dbname=CAPJLAST&filename=DGJS20220708000&uniplatform=NZKPT&v=DGsAAIqa5NG1m5Kehnu43TapB5fMllo0kLj4yLcEpeg4UeysFpSHxlYIzJvCQPGi.
[24] 王宏. 组合拍卖的理论与实践: 一个文献综述[J]. 产业经济评论, 2009, 8(1): 111-146.
Wang Hong.The theory and practice of combinatorial auction: a survey[J]. Review of Industrial Economics, 2009, 8(1): 111-146.
[25] Zhou Yue, Wu Jianzhong, Long Chao.Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework[J]. Applied Energy, 2018, 222: 993-1022.
[26] Taşcıkaraoğlu A.Economic and operational benefits of energy storage sharing for a neighborhood of prosumers in a dynamic pricing environment[J]. Sustainable Cities and Society, 2018, 38: 219-229.
[27] 章栋恩. 截断正态分布参数估计的EM算法[J]. 北京轻工业学院学报, 1998, 16(2): 72-76.
Zhang Dong'en. Estimation of parameter for truncated normal distribution via the EM algorithm[J]. Journal of Beijing Institute of Light Indusry, 1998, 16(2): 72-76.
[28] Bian Chunyuan, Liu Shangyue, Xing Haiyang, et al.Research on fault-tolerant operation strategy of rectifier of square wave motor in wind power system[J]. CES Transactions on Electrical Machines and Systems, 2021, 5(1): 62-69.
[29] . PJM. Energy market manuals[DB/OL]. [2014-12-14]. http://www.pjm.com/documents/manuals.aspx.
[30] Mengelkamp E, Gärttner J, Rock K, et al.Designing microgrid energy markets[J]. Applied Energy, 2018, 210: 870-880. |
2022, Vol. 37 
