Page 76 - 《中国电力》2026年第3期

2026 年 第 59 卷

Power, 2017, 35(1): 1–7. [20] 王俊杰, 贾雨龙, 米增强, 等. 基于双重激励机制的电动汽车备用服
[13] 陈璐, 徐青山, 杨永标, 等. 促进削峰填谷的居民实时积分套餐优化 务策略 [J]. 电力系统自动化, 2020, 44(10): 68–76.
设计 [J]. 电力自动化设备, 2020, 40(7): 134–142. WANG Junjie, JIA Yulong, MI Zengqiang, et al. Reserve service
CHEN Lu, XU Qingshan, YANG Yongbiao, et al. Optimization strategy of electric vehicles based on double-incentive mechanism[J].
design of residents' real-time score plan for promoting peak-load Automation of Electric Power Systems, 2020, 44(10): 68–76.
shifting[J]. Electric Power Automation Equipment, 2020, 40(7): [21] HUANG Z, FANG B L, DENG J. Multi-objective optimization
134–142. strategy for distribution network considering V2G-enabled electric
[14] 赵梓潼, 顾兵. 需求响应下基于电动汽车负荷聚合商的充放电电价 vehicles in building integrated energy system[J]. Protection and
与时段研究 [J]. 东北电力大学学报, 2023, 43(6): 79–86. Control of Modern Power Systems, 2020, 5: 7.
ZHAO Zitong, GU Bing. Research on charging and discharging price [22] 詹祥澎, 杨军, 韩思宁, 等. 考虑电动汽车可调度潜力的充电站两阶
and time period basedon electric vehicle load aggregator under 段市场投标策略 [J]. 电力系统自动化, 2021, 45(10): 86–96.

demand response[J]. Journal of Northeast Electric Power University, ZHAN Xiangpeng, YANG Jun, HAN Sining, et al. Two-stage market
2023, 43(6): 79–86. bidding strategy of charging station considering schedulable potential
[15] 范晋衡, 刘琦颖, 曲大鹏, 等. 考虑 EV 用户响应特性的激励型 capacity of electric vehicle[J]. Automation of Electric Power
DR 的削峰效果和各方需求分析 [J]. 电力科学与技术学报, 2022, Systems, 2021, 45(10): 86–96.
37(6): 138–149. [23] 文艺林, 胡泽春, 宁剑, 等. 基于分布鲁棒机会约束的充电运营商参
FAN Jinheng, LIU Qiying, QU Dapeng, et al. Analysis on peak 与调峰市场投标策略 [J]. 电力系统自动化, 2022, 46(7): 23–32.
shaving effect and needs of all parties based on incentive demand WEN Yilin, HU Zechun, NING Jian, et al. Bidding strategy of
response considering response characteristics of EV users[J]. Journal charging operator participating in peak regulation market based on
of Electric Power Science and Technology, 2022, 37(6): 138–149. distributionally robust chance constraint[J]. Automation of Electric
[16] 刘加国, 单来支, 袁飞, 等. 考虑需求响应的产消群边缘自平衡交易 Power Systems, 2022, 46(7): 23–32.
机制研究 [J]. 华北电力大学学报 (自然科学版), 2021, 48(2): [24] 陈卓, 江周熹, 陈康, 等. 考虑充电节点过载的电动汽车公共充电网
47–54. 络规划方法 [J]. 电测与仪表, 2025, 62(9): 116–124.
LIU Jiaguo, SHAN Laizhi, YUAN Fei, et al. Research on edge self- CHEN Zhuo, JIANG Zhouxi, CHEN Kang, et al. Planning method of
balancing trading mechanism of production and sales group electric vehicle public charging network with overloaded charging
considering demand response[J]. Journal of North China Electric nodes[J]. Electrical Measurement & Instrumentation, 2025, 62(9):
Power University (Natural Science Edition), 2021, 48(2): 47–54. 116–124.
[17] 刘怀东, 刘豪, 冯志强, 等. 基于新型需求响应模型的风电消纳市场 [25] 周卓, 芦翔, 刘海涛, 等. 含新能源发电的电动汽车充电站充电功率
机制 [J]. 电力系统及其自动化学报, 2021, 33(3): 43–48, 58. 在线优化策略研究 [J]. 电测与仪表, 2024, 61(2): 101–107.
LIU Huaidong, LIU Hao, FENG Zhiqiang, et al. Market mechanism ZHOU Zhuo, LU Xiang, LIU Haitao, et al. Research on on-line
of wind power consumption based on novel demand-side response charging power optimization strategy for EV charging station with
model[J]. Proceedings of the CSU-EPSA, 2021, 33(3): 43–48, 58. renewable energy generation[J]. Electrical Measurement &
[18] 王蓓蓓, 王骐鑫, 李雅超, 等. 区块链环境下考虑信用的需求响应资 Instrumentation, 2024, 61(2): 101–107.
源交易机制 [J]. 电力系统自动化, 2021, 45(5): 30–38. [26] 刘祺, 王承民, 谢宁, 等. 新型配电系统中考虑电动汽车差异化行为
WANG Beibei, WANG Qixin, LI Yachao, et al. Transaction 特性的充换电站规划方法 [J]. 智慧电力, 2024, 52(9): 18–24, 64.
mechanism of demand response resource considering credit in LIU Qi, WANG Chengmin, XIE Ning, et al. Charging and swapping
blockchain environment[J]. Automation of Electric Power Systems, stations planning method considering differentiated behavior
2021, 45(5): 30–38. characteristics of electric vehicles in new distribution system[J].
[19] SHARMA S, JAIN P. Integrated TOU price-based demand response Smart Power, 2024, 52(9): 18–24, 64.
and dynamic grid-to-vehicle charge scheduling of electric vehicle [27] 梁云龙, 罗朝旭, 刘泽宇, 等. 基于 V2G 技术的电动汽车充电器分
aggregator to support grid stability[J]. International Transactions on 层控制策略 [J]. 智慧电力, 2024, 52(10): 64–69, 78.
Electrical Energy Systems, 2020, 30(1): e12160. LIANG Yunlong, LUO Zhaoxu, LIU Zeyu, et al. Hierarchical control

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