[1] 康重庆, 杜尔顺, 李姚旺, 等. 新型电力系统的“碳视角”: 科学问题与研究框架[J]. 电网技术, 2022, 46(3): 821–833 KANG Chongqing, DU Ershun, LI Yaowang, et al. Key scientific problems and research framework for carbon perspective research of new power systems[J]. Power System Technology, 2022, 46(3): 821–833 [2] 王玲玲, 刘恋, 张锞, 等. 电力系统灵活调节服务与市场机制研究综述[J]. 电网技术, 2022, 46(2): 442–452 WANG Lingling, LIU Lian, ZHANG Ke, et al. A review of power system flexible ramping product and market mechanism[J]. Power System Technology, 2022, 46(2): 442–452 [3] 李卫国, 陈立铭, 张师, 等. 分时电价下考虑储能调度因素的短期负荷预测模型[J]. 电力系统保护与控制, 2020, 48(7): 133–140 LI Weiguo, CHEN Liming, ZHANG Shi, et al. Short-term load forecasting model considering energy storage scheduling factors under time-sharing price[J]. Power System Protection and Control, 2020, 48(7): 133–140 [4] 董凌, 年珩, 范越, 等. 能源互联网背景下共享储能的商业模式探索与实践[J]. 电力建设, 2020, 41(4): 38–44 DONG Ling, NIAN Heng, FAN Yue, et al. Exploration and practice of business model of shared energy storage in energy Internet[J]. Electric Power Construction, 2020, 41(4): 38–44 [5] 刘璐, 牛萌, 李建林, 等. 电化学储能系统标准现状与体系架构研究[J]. 电力建设, 2020, 41(4): 63–72 LIU Lu, NIU Meng, LI Jianlin, et al. Research on status and architecture of standards on electrochemical energy storage system[J]. Electric Power Construction, 2020, 41(4): 63–72 [6] 李相俊, 马会萌, 姜倩. 新能源侧储能配置技术研究综述[J]. 中国电力, 2022, 55(1): 13–25 LI Xiangjun, MA Huimeng, JIANG Qian. Review of energy storage configuration technology on renewable energy side[J]. Electric Power, 2022, 55(1): 13–25 [7] 陈启鑫, 房曦晨, 郭鸿业, 等. 储能参与电力市场机制: 现状与展望[J]. 电力系统自动化, 2021, 45(16): 14–28 CHEN Qixin, FANG Xichen, GUO Hongye, et al. Participation mechanism of energy storage in electricity market: status quo and prospect[J]. Automation of Electric Power Systems, 2021, 45(16): 14–28 [8] 朱寰, 徐健翔, 刘国静, 等. 英国储能相关政策机制与商业模式及对我国的启示[J]. 储能科学与技术, 2022, 11(1): 370–378 ZHU Huan, XU Jianxiang, LIU Guojing, et al. UK policy mechanisms and business models for energy storage and their applications to China[J]. Energy Storage Science and Technology, 2022, 11(1): 370–378 [9] 金强, 杨卫红, 王涛, 等. 考虑混合储能调频需求的独立微电网投资优化[J]. 电力科学与技术学报, 2021, 36(1): 52–62 JIN Qiang, YANG Weihong, WANG Tao, et al. Research on investment optimization of standalone microgrid considering frequency modulation with hybrid energy storage[J]. Journal of Electric Power Science and Technology, 2021, 36(1): 52–62 [10] 赵熙临, 姚业佩, 何晶晶, 等. 考虑风机分组的风储联合辅助调频双目标预测优化方法[J]. 电网与清洁能源, 2021, 37(10): 59–66 ZHAO Xilin, YAO Yepei, HE Jingjing, et al. A dual-objective prediction and optimization method of wind-storage combined auxiliary frequency regulation considering wind turbine grouping[J]. Power System and Clean Energy, 2021, 37(10): 59–66 [11] 丁明, 施建雄, 韩平平, 等. 光储系统参与电网调频及调峰的综合控制策略[J]. 中国电力, 2021, 54(1): 116–123,174 DING Ming, SHI Jianxiong, HAN Pingping, et al. An integrated control strategy for photovoltaic-energy storage system participating in frequency regulation and peak shaving of power grid[J]. Electric Power, 2021, 54(1): 116–123,174 [12] 张鸿宇, 王宇. 国外电网侧储能电站参与调频辅助服务市场的机制经验及对我国的启示[J]. 储能科学与技术, 2021, 10(2): 766–773 ZHANG Hongyu, WANG Yu. Mechanism experience of foreign grid-side storage participating in frequency regulation auxiliary service market and its enlightenment to China[J]. Energy Storage Science and Technology, 2021, 10(2): 766–773 [13] 梁彦杰, 陈星, 娄素华, 等. 南方(以广东起步)调频辅助服务市场卡特尔形成机理分析[J]. 电力系统自动化, 2021, 45(15): 93–100 LIANG Yanjie, CHEN Xing, LOU Suhua, et al. Formation mechanism analysis of cartel in frequency regulation ancillary service market in Southern China(starting from Guangdong Province)[J]. Automation of Electric Power Systems, 2021, 45(15): 93–100 [14] 李军徽, 岳鹏程, 李翠萍, 等. 提高风能利用水平的风电场群储能系统控制策略[J]. 电力自动化设备, 2021, 41(10): 162–169 LI Junhui, YUE Pengcheng, LI Cuiping, et al. Control strategy of energy storage system in wind farm group to improve wind energy utilization level[J]. Electric Power Automation Equipment, 2021, 41(10): 162–169 [15] 付张杰, 王育飞, 薛花, 等. 基于NSGA-Ⅲ与模糊聚类的光储式充电站储能系统优化运行方法[J]. 电力建设, 2021, 42(3): 27–34 FU Zhangjie, WANG Yufei, XUE Hua, et al. Optimal operation method of energy storage system in PV-integrated EV charging station applying NSGA-Ⅲ and fuzzy clustering[J]. Electric Power Construction, 2021, 42(3): 27–34 [16] CUI H, SONG K, DOU W L, et al. Bidding strategy of a flexible CHP plant for participating in the day-ahead energy and downregulation service market[J]. IEEE Access, 2021, 9: 149647–149656. [17] ZHAO J Y, ZHENG T X, LITVINOV E. A multi-period market design for markets with intertemporal constraints[J]. IEEE Transactions on Power Systems, 2020, 35(4): 3015–3025. [18] 陈亭轩, 徐潇源, 严正, 等. 基于深度强化学习的光储充电站储能系统优化运行[J]. 电力自动化设备, 2021, 41(10): 90–98 CHEN Tingxuan, XU Xiaoyuan, YAN Zheng, et al. Optimal operation based on deep reinforcement learning for energy storage system in photovoltaic- storage charging station[J]. Electric Power Automation Equipment, 2021, 41(10): 90–98 [19] SCHRAM W L, ALSKAIF T, LAMPROPOULOS I, et al. On the trade-off between environmental and economic objectives in community energy storage operational optimization[J]. IEEE Transactions on Sustainable Energy, 2020, 11(4): 2653–2661. [20] 何翔路, 娄素华, 吴耀武, 等. 双结算模式下风储一体化电站两阶段市场投标调度策略[J]. 电力系统自动化, 2022, 46(4): 47–55 HE Xianglu, LOU Suhua, WU Yaowu, et al. Two-stage market bidding and scheduling strategy of integrated wind power and energy storage station in dual-settlement mode[J]. Automation of Electric Power Systems, 2022, 46(4): 47–55 [21] 张巍, 缪辉. 基于云储能租赁服务的风储参与能量-调频市场竞价策略研究[J]. 电网技术, 2021, 45(10): 3840–3852 ZHANG Wei, MIAO Hui. Bidding strategies of wind power and energy storage participating in energy and frequency regulation market based on cloud energy storage leasing services[J]. Power System Technology, 2021, 45(10): 3840–3852 [22] HE L, ZHANG J. A community sharing market with PV and energy storage: an adaptive bidding-based double-side auction mechanism[J]. IEEE Transactions on Smart Grid, 2021, 12(3): 2450–2461. [23] 曹子珣, 陈红坤, 胡畔, 等. 计及市场收益的含储能火电厂日前-日内两阶段优化调度方法[J]. 电力系统保护与控制, 2021, 49(12): 106–113 CAO Zixun, CHEN Hongkun, HU Pan, et al. Day-ahead and intraday two-stage optimal dispatch model of a thermal power plant with energy storage and taking into account the profit[J]. Power System Protection and Control, 2021, 49(12): 106–113 [24] RASSAEI F, SOH W S, CHUA K C. Distributed scalable autonomous market-based demand response via residential plug-in electric vehicles in smart grids[J]. IEEE Transactions on Smart Grid, 2018, 9(4): 3281–3290. [25] MAO T, LAU W H, SHUM C, et al. A regulation policy of EV discharging price for demand scheduling[J]. IEEE Transactions on Power Systems, 2018, 33(2): 1275–1288.
|