1. 国家电网有限公司,北京,100031
2. 华北电力大学 电气与电子工程学院,北京,102206
3. 国网能源研究院有限公司,北京,102209
4. 国网江苏省电力有限公司,江苏,南京,210024
网络出版:2025-10-23,
纸质出版:2025
移动端阅览
邱忠涛, 格根敖其, 贾跃龙, 吴鹏, 张凯, 孙毅, 朱进. 新型电力系统供需协同全要素理论框架[J]. 中国电力, 2025, 58(10): 147-162.
QIU Zhongtao, GEGEN Aoqi, JIA Yuelong, et al. All-Factor Theoretical Framework for Supply-Demand Synergy in New-Type Power Systems[J]. 2025, 58(10): 147-162.
邱忠涛, 格根敖其, 贾跃龙, 吴鹏, 张凯, 孙毅, 朱进. 新型电力系统供需协同全要素理论框架[J]. 中国电力, 2025, 58(10): 147-162. DOI: 10.11930/j.issn.1004-9649.202503094.
QIU Zhongtao, GEGEN Aoqi, JIA Yuelong, et al. All-Factor Theoretical Framework for Supply-Demand Synergy in New-Type Power Systems[J]. 2025, 58(10): 147-162. DOI: 10.11930/j.issn.1004-9649.202503094.
构建以新能源为主体的新型电力系统,是实现“双碳”战略目标的关键路径。“十四五”以来,中国电力系统在电源结构、电网形态和技术基础等方面正经历深刻变革,提升新形势下电力供需协同能力迫在眉睫。面向新型电力系统,定义供需协同的基本概念与内涵并系统梳理亟须提升供需协同能力的典型场景;分别从政策、市场、技术等方面,深入剖析影响供需协同的全要素影响因素与内在作用机理;从空间、时间、资源、形态等多重视角深入解构与认知,创新性构建全要素供需协同理论框架模型,旨在为新型电力系统的创新升级提供坚实的理论支撑,助力其高质量发展蓝图的有效绘制。
Building a new-type power system dominated by new energy sources is a critical pathway towards achieving China's "Dual Carbon" strategic goals. Since the inception of the "14th Five-Year Plan" period
China's power system has undergone profound transformations in its generation mix
grid configuration
and technological foundation
making the enhancement of power supply-demand synergy capability under these new circumstances an urgent imperative. Focusing on the new-type power system
this study firstly defines the fundamental concept and connotation of the supply-demand synergy and systematically identifies the critical scenarios that require enhanced synergy. Then
the study conducts an in-depth analysis of all the factors influencing supply-demand synergy and their underlying mechanisms from perspective such as policy
market
technology
etc. Finally
on the basis of an in-depth deconstruction from multiple perspectives such as space
time
resource
and form
this study innovatively constructs a theoretical framework model for the synergy of supply-demand across all factor to provide a solid theoretical foundation for the innovative upgrading of the new-type power system
and to contribute to the effective planning of its high-quality development blueprintt.
1何伊慧, 管霖, 王彤, 等. 南方电网新型电力系统规划建设的量化评估与分析[J]. 南方电网技术, 2024, 18 (10): 40- 53.
HE Yihui, GUAN Lin, WANG Tong, et al. Quantitative evaluation and analysis of planning and construction of the new power system in China southern power grid[J]. Southern Power System Technology, 2024, 18 (10): 40- 53.
2邱忠涛, 韩新阳, 田鑫, 等. 智慧配电网助力现代化基础设施建设的协同需求和典型场景研究[J]. 供用电, 2024, 41 (6): 47- 54.
QIU Zhongtao, HAN Xinyang, TIAN Xin, et al. Research on collaborative needs and typical scenarios of smart distribution network assisting modern infrastructure construction[J]. Distribution & Utilization, 2024, 41 (6): 47- 54.
3刘俊磊, 刘新苗, 娄源媛, 等. 考虑源荷储不确定性的新型电力系统随机生产模拟方法[J]. 南方电网技术, 2024, 18 (6): 36- 42.
LIU Junlei, LIU Xinmiao, LOU Yuanyuan, et al. Stochastic production simulation method for new power system considering uncertainty of source network load and storage[J]. Southern Power System Technology, 2024, 18 (6): 36- 42.
4黎博, 陈民铀, 钟海旺, 等. 高比例可再生能源新型电力系统长期规划综述[J]. 中国电机工程学报, 2023, 43 (2): 555- 581.
LI Bo, CHEN Minyou, ZHONG Haiwang, et al. A review of long-term planning of new power systems with large share of renewable energy[J]. Proceedings of the CSEE, 2023, 43 (2): 555- 581.
5胡博, 谢开贵, 邵常政, 等. 双碳目标下新型电力系统风险评述: 特征、指标及评估方法[J]. 电力系统自动化, 2023, 47 (5): 1- 15. DOI
HU Bo, XIE Kaigui, SHAO Changzheng, et al. Commentary on risk of new power system under goals of carbon emission peak and carbon neutrality: characteristics, indices and assessment methods[J]. Automation of Electric Power Systems, 2023, 47 (5): 1- 15. DOI
6CHEN J D, GAO M, MANGLA S K, et al. Effects of technological changes on China's carbon emissions[J]. Technological Forecasting and Social Change, 2020, 153, 119938. DOI
7ZHANG S, CHEN W Y. China's energy transition pathway in a carbon neutral vision[J]. Engineering, 2022, 14, 64- 76. DOI
8CHEN F L, WANG M C, PU Z N. The impact of technological innovation on air pollution: firm-level evidence from China[J]. Technological Forecasting and Social Change, 2022, 177, 121521. DOI
9陈政, 何耿生, 尚楠. 面向碳达峰碳中和的电网碳排放因子改进计算方法[J]. 南方电网技术, 2024, 18 (1): 153- 162.
CHEN Zheng, HE Gengsheng, SHANG Nan. Improved calculation method of power grid carbon emission factor for carbon peak and carbon neutrality goals[J]. Southern Power System Technology, 2024, 18 (1): 153- 162.
10田禹. 我国电力供需系统发展效率评价与驱动效应研究[D]. 北京: 华北电力大学(北京), 2022.
TIAN Yu. Research on development efficiency evaluation and driving effect of power supply and demand system in China[D]. Beijing: North China Electric Power University, 2022.
11文云峰, 杨游航, 邢鹏翔, 等. 多维因素制约下新能源消纳能力评估方法研究综述[J]. 中国电机工程学报, 2024, 44 (1): 127- 147.
WEN Yunfeng, YANG Youhang, XING Pengxiang, et al. Review on the new energy accommodation capability evaluation methods considering multi-dimensional factors[J]. Proceedings of the CSEE, 2024, 44 (1): 127- 147.
12林伯强, 占妍泓, 孙传旺. 面向碳中和的能源供需双侧协同发展研究[J]. 治理研究, 2022, 38 (3): 24- 34, 125. DOI
LIN Boqiang, ZHAN Yanhong, SUN Chuanwang. A study of the coordinated development of energy supplies and the demand for carbon neutrality[J]. Governance Studies, 2022, 38 (3): 24- 34, 125. DOI
13程杉, 傅桐, 李沣洋, 等. 含高渗透可再生能源的配电网灵活性供需协同规划[J]. 电力系统保护与控制, 2023, 51 (22): 1- 12.
CHENG Shan, FU Tong, LI Fengyang, et al. Flexible supply demand collaborative planning for distribution networks with high penetration of renewable energy[J]. Power System Protection and Control, 2023, 51 (22): 1- 12.
14鲁宗相, 林弋莎, 乔颖, 等. 极高比例可再生能源电力系统的灵活性供需平衡[J]. 电力系统自动化, 2022, 46 (16): 3- 16.
LU Zongxiang, LIN Yisha, QIAO Ying, et al. Flexibility supply-demand balance in power system with ultra-high proportion of renewable energy[J]. Automation of Electric Power Systems, 2022, 46 (16): 3- 16.
15赵晶晶, 朱炯达, 李振坤, 等. 考虑灵活性供需鲁棒平衡的两阶段配电网日内分布式优化调度[J]. 电力系统自动化, 2022, 46 (16): 61- 71. DOI
ZHAO Jingjing, ZHU Jiongda, LI Zhenkun, et al. Two-stage intraday distributed optimal dispatch for distribution network considering robust balance between flexibility supply and demand[J]. Automation of Electric Power Systems, 2022, 46 (16): 61- 71. DOI
16张虹, 马鸿君, 闫贺, 等. 计及WCVaR评估的微电网供需协同两阶段日前优化调度[J]. 电力系统自动化, 2021, 45 (2): 55- 63. DOI
ZHANG Hong, MA Hongjun, YAN He, et al. Two-stage day-ahead optimal microgrid scheduling with coordination between supply and demand considering WCVaR assessment[J]. Automation of Electric Power Systems, 2021, 45 (2): 55- 63. DOI
17MAHARJAN S, ZHU Q Y, ZHANG Y, et al. Dependable demand response management in the smart grid: a stackelberg game approach[J]. IEEE Transactions on Smart Grid, 2013, 4 (1): 120- 132. DOI
18张全明, 崔晓昱, 张笑弟, 等. 计及用户不确定性的多时段耦合需求响应激励优化策略[J]. 中国电机工程学报, 2022, 42 (24): 8844- 8854.
ZHANG Quanming, CUI Xiaoyu, ZHANG Xiaodi, et al. Incentive optimization strategy of multi period coupling demand response considering user uncertainty[J]. Proceedings of the CSEE, 2022, 42 (24): 8844- 8854.
19王巍, 袁泉, 刘春晓, 等. 日前邀约模式下电力需求响应的聚合优化模型与方法[J]. 南方电网技术, 2023, 17 (11): 51- 60.
WANG Wei , YUAN Quan , LIU Chunxiao, et al. Aggregation optimization model and method for power demand response based on the day-ahead invitation mode[J]. Southern Power System Technology, 2023, 17 (11): 51- 60.
20AZZAM S M, ELSHABRAWY T, ASHOUR M. A bi-level framework for supply and demand side energy management in an islanded microgrid[J]. IEEE Transactions on Industrial Informatics, 2023, 19 (1): 220- 231. DOI
21SZILAGYI E, PETREUS D, PAULESCU M, et al. Cost-effective energy management of an islanded microgrid[J]. Energy Reports, 2023, 10, 4516- 4537. DOI
22杨运国, 侯健生, 边晓燕, 等. 面向高比例新能源配电网的灵活性资源综合评价[J]. 供用电, 2021, 38 (11): 68- 76.
YANG Yunguo, HOU Jiansheng, BIAN Xiaoyan, et al. Comprehensive evaluation of flexible resources for high penetration of renewable energy sources integrated to the distribution network[J]. Distribution & Utilization, 2021, 38 (11): 68- 76.
23黄震, 宋璇坤, 刘思革, 等. 电网智能化发展评价指标体系及关键指标研究[J]. 供用电, 2016, 33 (2): 43- 47, 42. DOI
HUANG Zhen, SONG Xuankun, LIU Sige, et al. Study on the evaluation index system and the key indexes of grid intelligence development[J]. Distribution & Utilization, 2016, 33 (2): 43- 47, 42. DOI
24李琼慧, 代红才, 汪晓露. 新能源与智能电网协调发展评价指标体系研究[J]. 中国能源, 2011, 33 (5): 25- 28. DOI
LI Qionghui, DAI Hongcai, WANG Xiaolu. Study on assessment indicators system of coordinated development between new energy and smart grid[J]. Energy of China, 2011, 33 (5): 25- 28. DOI
25郭创新, 刘祝平, 冯斌, 等. 新型电力系统风险评估研究现状及展望[J]. 高电压技术, 2022, 48 (9): 3394- 3404.
GUO Chuangxin, LIU Zhuping, FENG Bin, et al. Research status and prospect of new-type power system risk assessment[J]. High Voltage Engineering, 2022, 48 (9): 3394- 3404.
26安靖, 张雪超, 张雷, 等. 基于多标签学习的探索性仿真实验因素筛选方法[J]. 指挥控制与仿真, 2023, 45 (6): 134- 140. DOI
AN Jing, ZHANG Xuechao, ZHANG Lei, et al. Factors screening method of explorative simulation experiment based on multi-label learning[J]. Command Control & Simulation, 2023, 45 (6): 134- 140. DOI
27吴成明, 邢博洋, 李世春. 基于麻雀搜索算法的微电网分层优化调度[J]. 南方电网技术, 2024, 18 (2): 115- 123.
WU Chengming, XING Boyang, LI Shichun. Hierarchical optimal dispatch of microgrid based on the sparrow search algorithm[J]. Southern Power System Technology, 2024, 18 (2): 115- 123.
28麻雪松. 基于Leslie模型和影响因素筛选的中国人口预测研究[D]. 北京: 北京交通大学, 2022.
MA Xuesong. Research on Chinese population prediction based on Leslie model and screening of influencing factors[D]. Beijing: Beijing Jiaotong University, 2022.
29卓映君, 周保荣, 姚文峰, 等. “双碳”目标下南方区域能源电力消费及负荷特性预测[J]. 南方电网技术, 2023, 17 (9): 132- 140.
ZHUO Yingjun, ZHOU Baorong, YAO Wenfeng, et al. Prediction of energy and electricity consumption and load characteristics in the southern region under the carbon peak and carbon neutrality target[J]. Southern Power System Technology, 2023, 17 (9): 132- 140.
30魏茜茜. 基于解释结构模型建筑施工安全风险评价研究[J]. 湖北第二师范学院学报, 2024, 41 (8): 27- 33.
WEI Qianqian. Safety risk assessment of building construction based on explanatory structural model[J]. Journal of Hubei University of Education, 2024, 41 (8): 27- 33.
31于松青, 林盛. 低碳经济下基于解释结构模型的电力需求影响因素分析[J]. 西北工业大学学报(社会科学版), 2013, 33 (4): 22- 27.
YU Songqing, LIN Sheng. Analysis of influencing factors on electricity demand based on the interpretive structural modeling approach in a low-carbon economic context[J]. Journal of northwestern polytechnical universtty(social sciences), 2013, 33 (4): 22- 27.
32张剑云, 李明节. 新能源高渗透的电力系统频率特性分析[J]. 中国电机工程学报, 2020, 40 (11): 3498- 3507.
ZHANG Jianyun, LI Mingjie. Analysis of the frequency characteristic of the power systems highly penetrated by new energy generation[J]. Proceedings of the CSEE, 2020, 40 (11): 3498- 3507.
33杨欣, 么德飞, 施天成, 等. 基于深度学习的电力供需双侧协同优化的研究与应用[J]. 光学与光电技术, 2023, 21 (2): 136- 143. DOI
YANG Xin, YAO Defei, SHI Tiancheng, et al. Research and application of power supply and demand cooperative optimization based on deep learning[J]. Optics & Optoelectronic Technology, 2023, 21 (2): 136- 143. DOI
34陈明昊, 孙毅, 胡亚杰, 等. 基于纵向联邦强化学习的居民社区综合能源系统协同训练与优化管理方法[J]. 中国电机工程学报, 2022, 42 (15): 5535- 5550.
CHEN Minghao, SUN Yi, HU Yajie, et al. The collaborative training and management-optimized method for residential integrated energy system based on vertical federated reinforcement learning[J]. Proceedings of the CSEE, 2022, 42 (15): 5535- 5550.
35任洪波, 王广涛, 李琦芬, 等. 供需互动视角下区域综合能源系统设备配置与运行策略协同优化研究[J]. 热力发电, 2020, 49 (3): 60- 67.
REN Hongbo, WANG Guangtao, LI Qifen, et al. Collaborative optimization of equipment configuration and operation strategy for integrated energy systems based on supply-demand interaction[J]. Thermal Power Generation, 2020, 49 (3): 60- 67.
36张智刚, 康重庆. 碳中和目标下构建新型电力系统的挑战与展望[J]. 中国电机工程学报, 2022, 42 (8): 2806- 2819.
ZHANG Zhigang, KANG Chongqing. Challenges and prospects for constructing the new-type power system towards a carbon neutrality future[J]. Proceedings of the CSEE, 2022, 42 (8): 2806- 2819.
37舒印彪, 陈国平, 贺静波, 等. 构建以新能源为主体的新型电力系统框架研究[J]. 中国工程科学, 2021, 23 (6): 61- 69. DOI
SHU Yinbiao, CHEN Guoping, HE Jingbo, et al. Building a new electric power system based on new energy sources[J]. Strategic Study of CAE, 2021, 23 (6): 61- 69. DOI
38孙毅, 单禹钦, 陈明昊, 等. 考虑生命周期与储能损耗的光-储系统低碳运行优化策略[J]. 电力系统自动化, 2025, 49 (12): 60- 68. DOI
SUN Yi, SHAN Yuqin, CHEN Minghao, et al. Low-carbon operation optimization strategy for photovoltaic-electrical energy storage system considering life cycle and energy storage degradation[J]. Automation of Electric Power Systems, 2025, 49 (12): 60- 68. DOI
39邱忠涛, 金艳鸣, 徐沈智. 全国碳市场扩容下电力平均排放因子选择对高耗能产业的影响分析[J]. 中国电力, 2023, 56 (12): 1- 7. DOI
QIU Zhongtao, JIN Yanming, XU Shenzhi. Impacts of electricity emission factor selection on high energy-consuming industries with the expanded national carbon market[J]. Electric Power, 2023, 56 (12): 1- 7. DOI
40李晖, 刘栋, 姚丹阳. 面向碳达峰碳中和目标的我国电力系统发展研判[J]. 中国电机工程学报, 2021, 41 (18): 6245- 6259.
LI Hui, LIU Dong, YAO Danyang. Analysis and reflection on the development of power system towards the goal of carbon emission peak and carbon neutrality[J]. Proceedings of the CSEE, 2021, 41 (18): 6245- 6259.
41叶琳浩, 申展, 许峰, 等. 考虑光伏不确定性和时序相关性的分布鲁棒光储协同优化配置方法[J]. 南方电网技术, 2023, 17 (4): 132- 143.
YE Linhao, SHEN Zhan, XU Feng, et al. Distributionally robust collaborative optimal allocation method of photovoltaic and energy storage considering photovoltaic uncertainty and temporal correlation[J]. Southern Power System Technology, 2023, 17 (4): 132- 143.
42路学刚, 谢一工, 胡斌, 等. 面向需求响应市场的柔性负荷调度方法研究[J]. 电力需求侧管理, 2024, 26 (3): 15- 20. DOI
LU Xuegang, XIE Yigong, HU Bin, et al. Research on flexible load dispatch method for demand response market[J]. Power Demand Side Management, 2024, 26 (3): 15- 20. DOI
43王波, 马富齐, 王红霞. 新型并网主体安全风险辨识的数据特征、关键技术及防控挑战[J]. 南方电网技术, 2025, 19 (7): 15- 29.
WANG Bo, MA Fuqi, WANG Hongxia. Data characteristics, key technologies and prevention and control challenges of security risk identification for new grid-connected entities[J]. Southern Power System Technology, 2025, 19 (7): 15- 29.
44DU E S, JIANG H Y, XIAO J Y, et al. Preliminary analysis of long-term storage requirement in enabling high renewable energy penetration: a case of East Asia[J]. IET Renewable Power Generation, 2021, 15 (6): 1255- 1269. DOI
45周高锋, 章天晗, 颜拥, 等. 基于生命周期评估的需求响应碳减排量评估方法[J]. 电力自动化设备, 2024, 44 (7): 255- 262, 286.
ZHOU Gaofeng, ZHANG Tianhan, YAN Yong, et al. Assessment method of demand response carbon emission reduction based on life cycle assessment[J]. Electric Power Automation Equipment, 2024, 44 (7): 255- 262, 286.
46李伟, 周天, 董绍光, 等. 考虑多运行场景的城市电网用户侧储能需求评估方法[J]. 浙江电力, 2024, 43 (2): 96- 104.
LI Wei, ZHOU Tian, DONG Shaoguang, et al. An assessment method for energy storage demand on user side in urban grids considering multiple operational scenarios[J]. Zhejiang Electric Power, 2024, 43 (2): 96- 104.
47李宏仲, 叶翔宇. 考虑灵活性供需匹配的电力系统自适应时间尺度调度策略[J]. 电力系统自动化, 2023, 47 (15): 122- 132. DOI
LI Hongzhong, YE Xiangyu. Adaptive time-scale dispatching strategy for power system considering flexibility supply-demand matching[J]. Automation of Electric Power Systems, 2023, 47 (15): 122- 132. DOI
48姜海洋, 杜尔顺, 马佳豪, 等. 考虑长周期供需不平衡风险的新型电力系统规划方法[J]. 中国电机工程学报, 2024, 44 (15): 5845- 5858.
JIANG Haiyang, DU Ershun, MA Jiahao, et al. Power system optimal planning method considering long-term imbalance risk[J]. Proceedings of the CSEE, 2024, 44 (15): 5845- 5858.
49李雪, 张涵帅, 姜涛, 等. 应对极端冰灾的电力系统多阶段韧性提升策略[J]. 电力自动化设备, 2024, 44 (7): 69- 77.
LI Xue, ZHANG Hanshuai, JIANG Tao, et al. Multi-stage resilience enhancement strategy for power system against extreme ice disaster[J]. Electric Power Automation Equipment, 2024, 44 (7): 69- 77.
50邓韦斯, 孟子超, 王皓怀, 等. 新能源功率预测特性分析及精度提升措施[J]. 南方电网技术, 2023, 17 (2): 11- 23.
DENG Weisi, MENG Zichao, WANG Haohuai, et al. Renewable energy power prediction characteristics analyses and accuracy improvement measures[J]. Southern Power System Technology, 2023, 17 (2): 11- 23.
51卓振宇, 张宁, 康重庆, 等. 面向双碳目标的电力系统规划方案量化归因分析方法[J]. 电力系统自动化, 2023, 47 (2): 1- 14. DOI
ZHUO Zhenyu, ZHANG Ning, KANG Chongqing, et al. Quantitative attribution analysis method of power system planning scheme for carbon emission peak and carbon neutrality goals[J]. Automation of Electric Power Systems, 2023, 47 (2): 1- 14. DOI
52QIN Z J, CHEN X W, HOU Y H, et al. Coordination of preventive, emergency and restorative dispatch in extreme weather events[J]. IEEE Transactions on Power Systems, 2022, 37 (4): 2624- 2638. DOI
53ZHUO Z Y, ZHANG N, HOU Q C, et al. Backcasting technical and policy targets for constructing low-carbon power systems[J]. IEEE Transactions on Power Systems, 2022, 37 (6): 4896- 4911. DOI
54KIRILENKO A, GONG Y Z, CHUNG C Y. A framework for power system operational planning under uncertainty using coherent risk measures[J]. IEEE Transactions on Power Systems, 2021, 36 (5): 4376- 4386. DOI
55魏旭, 刘东, 高飞, 等. 双碳目标下考虑源网荷储协同优化运行的新型电力系统发电规划[J]. 电网技术, 2023, 47 (9): 3648- 3661.
WEI Xu, LIU Dong, GAO Fei, et al. Generation expansion planning of new power system considering collaborative optimal operation of source-grid-load-storage under carbon peaking and carbon neutrality[J]. Power System Technology, 2023, 47 (9): 3648- 3661.
56卓振宇, 张宁, 谢小荣, 等. 高比例可再生能源电力系统关键技术及发展挑战[J]. 电力系统自动化, 2021, 45 (9): 171- 191. DOI
ZHUO Zhenyu, ZHANG Ning, XIE Xiaorong, et al. Key technologies and developing challenges of power system with high proportion of renewable energy[J]. Automation of Electric Power Systems, 2021, 45 (9): 171- 191. DOI
57姜婷玉, 陶劲宇, 李亚平, 等. 面向新型电力系统电力平衡的负荷响应管理综述[J]. 电力自动化设备, 2025, 45 (2): 11- 23.
JIANG Tingyu, TAO Jinyu, LI Yaping, et al. Review of load response management for power balance in new power system[J]. Electric Power Automation Equipment, 2025, 45 (2): 11- 23.
58张高, 薛松, 范孟华, 等. 面向我国电力市场的需求响应市场化交易机制设计[J]. 电力建设, 2021, 42 (4): 132- 140. DOI
ZHANG Gao, XUE Song, FAN Menghua, et al. Design of demand-response market mechanism in accordance with China power market[J]. Electric Power Construction, 2021, 42 (4): 132- 140. DOI
59张勇军, 成润婷, 史训涛, 等. 市场环境下分布式智能电网关键技术与机制研究综述[J]. 电力自动化设备, 2025, 45 (6): 1- 14.
ZHANG Yongjun, CHENG Runting, SHI Xuntao, et al. Review of research on key technologies and mechanisms for distributed smart grid in market environment[J]. Electric Power Automation Equipment, 2025, 45 (6): 1- 14.
60朱斌, 刘东, 刘天元, 等. 边缘计算在电力系统供需互动应用的研究进展与展望[J]. 电网技术, 2024, 48 (10): 4327- 4341.
ZHU Bin, LIU Dong, LIU Tianyuan, et al. Research progresses and prospects on application of edge computing in power system supply-demand interaction[J]. Power System Technology, 2024, 48 (10): 4327- 4341.
61张卫国, 宋杰, 郭明星, 等. 考虑电动汽车充电需求的虚拟电厂负荷均衡管理策略[J]. 电力系统自动化, 2022, 46 (9): 118- 126. DOI
ZHANG Weiguo, SONG Jie, GUO Mingxing, et al. Load balancing management strategy for virtual power plants considering charging demand of electric vehicles[J]. Automation of Electric Power Systems, 2022, 46 (9): 118- 126. DOI
62包涛, 李昊飞, 余涛, 等. 考虑市场因素的电力系统供需互动混合博弈强化学习算法[J]. 控制理论与应用, 2020, 37 (4): 907- 917. DOI
BAO Tao, LI Haofei, YU Tao, et al. Mixed game reinforcement learning of supply-demand interaction in power system dis-patch on electricity market[J]. Control Theory & Applications, 2020, 37 (4): 907- 917. DOI
63ROCKAFELLAR R T, URYASEV S. Optimization of conditional value-at-risk[J]. The Journal of Risk, 2000, 2 (3): 21- 41. DOI
64SABER H, HEIDARABADI H, MOEINI-AGHTAIE M, et al. Expansion planning studies of independent-locally operated battery energy storage systems (BESSs): a CVaR-based study[J]. IEEE Transactions on Sustainable Energy, 2020, 11 (4): 2109- 2118. DOI
65王珂, 吴峰, 曹若琳, 等. 市场环境下需求响应行为特性及模型研究综述[J]. 电力系统自动化, 2024, 48 (15): 1- 14. DOI
WANG Ke, WU Feng, CAO Ruolin, et al. Review on characteristics and models of demand response behavior in market environment[J]. Automation of Electric Power Systems, 2024, 48 (15): 1- 14. DOI
66单葆国, 冀星沛, 许传龙, 等. 近期全球能源供需形势分析及中国能源电力保供策略[J]. 中国电力, 2022, 55 (10): 1- 13. DOI
SHAN Baoguo, JI Xingpei, XU Chuanlong, et al. Recent situation of global energy supply-demand and guarantee strategy of China's energy and power supply[J]. Electric Power, 2022, 55 (10): 1- 13. DOI
67赵莎莎, 袁葆, 安亚刚, 等. 智能电网需求侧用户参与度研究模型[J]. 电网与清洁能源, 2024, 40 (3): 60- 66. DOI
ZHAO Shasha, YUAN Bao, AN Yagang, et al. A study on the research model of user participation on the demand side of the smart grid[J]. Power System and Clean Energy, 2024, 40 (3): 60- 66. DOI
68阮前途, 叶荣. 保障极端天气下供需安全的新型电力系统电源规划[J]. 电力系统自动化, 2025, 49 (4): 103- 115. DOI
RUAN Qiantu, YE Rong. Power source planning of new power system for guaranteeing supply-demand security under extreme weather[J]. Automation of Electric Power Systems, 2025, 49 (4): 103- 115. DOI
69陈碧云, 李翠珍, 覃鸿, 等. 考虑网架重构和灾区复电过程的配电网抗台风韧性评估[J]. 电力系统自动化, 2018, 42 (6): 47- 52. DOI
CHEN Biyun, LI Cuizhen, QIN Hong, et al. Evaluation of typhoon resilience of distribution network considering grid reconstruction and disaster recovery[J]. Automation of Electric Power Systems, 2018, 42 (6): 47- 52. DOI
70王邦彦, 皮俊波, 王秀丽, 等. 天气数据驱动下基于深度主动学习的新型电力系统供需失衡风险快速评估方法[J]. 电网技术, 2024, 48 (10): 4050- 4060.
WANG Bangyan, PI Junbo, WANG Xiuli, et al. A fast assessment method for supply-demand imbalance risk of new power systems based on deep active learning driven by weather data[J]. Power System Technology, 2024, 48 (10): 4050- 4060.
71蒋玮, 吴杰, 冯伟, 等. 日前电力市场不完全信息条件下的电力供需双边博弈模型[J]. 电力系统自动化, 2019, 43 (2): 18- 24, 75. DOI
JIANG Wei, WU Jie, FENG Wei, et al. Bilateral game model of power supply and demand sides with incomplete information in day-ahead electricity market[J]. Automation of Electric Power Systems, 2019, 43 (2): 18- 24, 75. DOI
72余潇潇, 宋福龙, 李隽, 等. 含高比例新能源电力系统极端天气条件下供电安全性的提升[J]. 现代电力, 2023, 40 (3): 303- 313.
YU Xiaoxiao, SONG Fulong, LI Jun, et al. Power supply security improvement of power grid with high proportion of renewable energy under extreme weather events[J]. Modern Electric Power, 2023, 40 (3): 303- 313.
73孙传旺, 左旭光. 中国新型电力系统发展综合评价体系及区域差异分析[J]. 煤炭经济研究, 2025, 45 (1): 122- 131. DOI
SUN Chuanwang, ZUO Xuguang. Comprehensive evaluation system for the development of the new electricity system in China and analysis of regional differences[J]. Coal Economic Research, 2025, 45 (1): 122- 131. DOI
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621