[1] |
高赐威, 李倩玉, 李慧星, 等. 基于负荷聚合商业务的需求响应资源整合方法与运营机制[J]. 电力系统自动化, 2013,37(17):78-86.
|
|
GAO Ciwei, LI Qianyu, LI Huixing, et al. Methodology and operation mechanism of demand response resources integration based on load aggregator[J]. Automation of Electric Power Systems, 2013,37(17):78-86.
|
[2] |
王珂, 姚建国, 姚良忠, 等. 电力柔性负荷调度研究综述[J]. 电力系统自动化, 2014,38(20):127-135.
|
|
WANG Ke, YAO Jianguo, YAO Liangzhong, et al. Survey of research on flexible loads scheduling technologies[J]. Automation of Electric Power Systems, 2014,38(20):127-135.
|
[3] |
王蓓蓓. 面向智能电网的用户需求响应特性和能力研究综述[J]. 中国电机工程学报, 2014,34(22):3654-3663.
|
|
WANG Beibei. Research on consumers’ response characterics and ability under smart grid: A literatures survey[J]. Proceedings of the CSEE, 2014,34(22):3654-3663.
|
[4] |
徐筝, 孙宏斌, 郭庆来. 综合需求响应研究综述及展望[J]. 中国电机工程学报, 2018,38(24):7194-7205, 7446.
|
|
XU Zheng, SUN Hongbin, GUO Qinglai. Review and prospect of integrated demand response[J]. Proceedings of the CSEE, 2018,38(24):7194-7205, 7446.
|
[5] |
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.
|
|
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.
|
[6] |
李昕儒, 刘传清, 仲佳佳. 以用户为中心的需求响应博弈模型与算法研究[J]. 南京工程学院学报(自然科学版), 2018,16(2):16-21.
|
|
LI Xinru, LIU Chuanqing, ZHONG Jiajia. User-centered demand response game model and algorithm research[J]. Journal of Nanjing Institute of Technology (Natural Science Edition), 2018,16(2):16-21.
|
[7] |
刘晓峰, 高丙团, 李扬. 博弈论在电力需求侧的应用研究综述[J]. 电网技术, 2018,42(8):2704-2711.
|
|
LIU Xiaofeng, GAO Bingtuan, LI Yang. Review on application of game theory in power demand side[J]. Power System Technology, 2018,42(8):2704-2711.
|
[8] |
冷钊莹, 陈中, 邢强, 等. 基于负荷类型细分的负荷聚合商日前投标非合作博弈模型[J]. 电网与清洁能源, 2020,36(5):17-28.
|
|
LENG Zhaoying, CHEN Zhong, XING Qiang, et al. Day-ahead bidding model of load aggregators based on load type subdivision and non-cooperative game[J]. Power System and Clean Energy, 2020,36(5):17-28.
|
[9] |
周宁, 刘文学, 李嘉媚, 等. 基于合作博弈论与综合需求响应的负荷聚合商集群优化运营策略[J]. 水电能源科学, 2020,38(8):202-206.
|
|
ZHOU Ning, LIU Wenxue, LI Jiamei, et al. Load aggregator cluster optimization operation strategy based on cooperative game theory and comprehensive demand response[J]. Water Resources and Power, 2020,38(8):202-206.
|
[10] |
蒋东荣, 向洪伟, 王一雯, 等. 基于主从博弈的负荷聚合商奖励价格制定策略及可控负荷调度研究[J]. 重庆理工大学学报(自然科学), 2018,32(5):169-176.
|
|
JIANG Dongrong, XIANG Hongwei, WANG Yiwen, et al. Load aggregator incentive pricing scheme based stackelberg game and flexible loads dispatching research[J]. Journal of Chongqing University of Technology (Natural Science), 2018,32(5):169-176.
|
[11] |
刘道新, 郭万祝, 王世成, 等. 面向能源互联网的新型需求侧管理模式研究[J]. 电力建设, 2016,37(6):10-16.
|
|
LIU Daoxin, GUO Wanzhu, WANG Shicheng, et al. New demand-side management pattern for energy Internet[J]. Electric Power Construction, 2016,37(6):10-16.
|
[12] |
李力行, 苗世洪, 孙丹丹, 等. 多利益主体参与下主动配电网完全信息动态博弈行为[J]. 电工技术学报, 2018,33(15):3499-3509.
|
|
LI Lixing, MIAO Shihong, SUN Dandan, et al. Dynamic games of complete information in active distribution network with multi-stakeholder participation[J]. Transactions of China Electrotechnical Society, 2018,33(15):3499-3509.
|
[13] |
李博丰. 基于博弈论的主动配电网多利益主体协调优化调度[D]. 北京: 华北电力大学, 2018.
|
|
LI Bofeng. Coordination and optimal dispatch of multi-stakeholders in active distribution network based on game theory[D]. Beijing: North China Electric Power University, 2018.
|
[14] |
黄豫, 邵冲, 郝洁, 等. 能源互联网环境下的多能需求响应技术[J]. 电力需求侧管理, 2020,22(5):2-6, 18.
|
|
HUANG Yu, SHAO Chong, HAO Jie, et al. Multi-energy demand response technology in energy Internet environment[J]. Power Demand Side Management, 2020,22(5):2-6, 18.
|
[15] |
袁桂丽, 董金凤, 魏更, 等. 基于需求响应和多能互补的冷热电联产微网优化调度[J]. 电力建设, 2019,40(9):64-72.
|
|
YUAN Guili, DONG Jinfeng, WEI Geng, et al. Optimal scheduling of combined cooling heating and power microgrid based on demand response and multi-energy coordination[J]. Electric Power Construction, 2019,40(9):64-72.
|
[16] |
张伊宁. 考虑需求响应的能源互联网优化运行研究[D]. 杭州: 浙江大学, 2019.
|
|
ZHANG Yining. Research on optimal operation for energy Internet considering demand response[D]. Hangzhou: Zhejiang University, 2019.
|
[17] |
翟桥柱, 王凌云. 需求侧响应对降低发电成本的效益估计[J]. 中国电机工程学报, 2014,34(7):1198-1205.
|
|
ZHAI Qiaozhu, WANG Lingyun. Estimation of generating costs reduction as a result of demand response[J]. Proceedings of the CSEE, 2014,34(7):1198-1205.
|
[18] |
邹小燕. 电力行业用户满意度指数模型的构建与测算[J]. 电力需求侧管理, 2003,5(1):30-33.
|
|
ZOU Xiaoyan. Constructing and calculating the customer satisfaction index of Chinese electricity industry[J]. Power Demand Side Management, 2003,5(1):30-33.
|
[19] |
徐思雨, 应雨龙, 陈云龙雨. 基于标准化矩阵模型的综合能源系统优化方法[J]. 上海节能, 2019(1):29-39.
|
|
XU Siyu, YING Yulong, CHEN Yunlongyu. Optimization method of integrated energy system based on standardized matrix model[J]. Shanghai Energy Conservation, 2019(1):29-39.
|
[20] |
DORMOHAMMADI S, RAIS-ROHANI M. Exponential penalty function formulation for multilevel optimization using the analytical target cascading framework[J]. Structural and Multidisciplinary Optimization, 2013,47(4):599-612.
doi: 10.1007/s00158-012-0861-x
URL
|
[21] |
何蕾. 基于需求侧综合响应的热电联供型微网运行优化[J]. 电测与仪表, 2018,55(7):47-52, 61.
|
|
HE Lei. Optimal operation of combined heat and power micro-grid based on integrated demand response[J]. Electrical Measurement & Instrumentation, 2018,55(7):47-52, 61.
|
[22] |
任文诗, 高红均, 刘友波, 等. 智能建筑群电能日前优化共享[J]. 电网技术, 2019,43(7):2568-2577.
|
|
REN Wenshi, GAO Hongjun, LIU Youbo, et al. Optimal day-ahead electricity scheduling and sharing for smart building cluster[J]. Power System Technology, 2019,43(7):2568-2577.
|