Journal of Guangdong University of Technology ›› 2023, Vol. 40 ›› Issue (02): 64-73.doi: 10.12052/gdutxb.210170
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Fu Zheng-xin1, Liu Shuang2, Duan Yi-qiang1, Zhu Wei-dong1
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[1] 杨晚生, 郭开华. 分布式供能系统的定义及其内涵[J]. 广东工业大学学报, 2010, 27(3): 76-82. YANG W S, GUO K H. Definition and connotation for distributed energy system [J]. Journal of Guangdong University of Technology, 2010, 27(3): 76-82. [2] 赵军, 王妍, 王丹, 等. 能源互联网研究进展: 定义、指标与研究方法[J]. 电力系统及其自动化学报, 2018, 30(10): 1-14. ZHAO J, WANG Y, WANG D, et al. Research progress in energy internet: definition, indicator and research method [J]. Proceedings of the CSU-EPSA, 2018, 30(10): 1-14. [3] 王毅, 张宁, 康重庆. 能源互联网中能量枢纽的优化规划与运行研究综述及展望[J]. 中国电机工程学报, 2015, 35(22): 5669-5681. WANG Y, ZHANG N, KANG C Q. Review and prospect of optimal planning and operation of energy hub in energy internet [J]. Proceedings of the CSEE, 2015, 35(22): 5669-5681. [4] SALDARRIAGA C A, HINCAPIÉ R A, SALAZAR H. A holistic approach for planning natural gas and electricity distribution networks [J]. IEEE Transactions on Power Systems, 2013, 28(4): 4052-4063. [5] CHEN Y B, ZHANG L X, PENG X, et al. Electricity demand response schemes in China: pilot study and future outlook[J]. Energy, 2021, 224: 120042. [6] PALENSKY P, DIETRICH D. Demand side management: demand response, intelligent energy systems, and smart loads [J]. IEEE Transactions on Industrial Informatics, 2011, 7(3): 381-388. [7] 张磊, 秦光宇, 刘亚玲. 含电转气的多能源中心协调优化运行策略[J]. 中国电力, 2020, 53(10): 113-122. ZHANG L, QIN G Y, LIU Y L. Coordinated optimization operation strategy for multi-energy center with power-to-gas devices [J]. Electric Power, 2020, 53(10): 113-122. [8] 卢志刚, 乞胜静, 蔡瑶, 等. 基于改进MOBCC算法的热电联合系统经济环境调度[J]. 中国电力, 2021, 54(2): 164-174. LU Z G, QI S J, CAI Y, et al. Economic and environmental dispatch of combined heat and power system based on improved MOBCC algorithm [J]. Electric Power, 2021, 54(2): 164-174. [9] 陈凯炎, 牛玉刚. 基于V2G技术的电动汽车实时调度策略[J]. 电力系统保护与控制, 2019, 47(14): 1-9. CHEN K Y, NIU Y G. Real-time scheduling strategy of electric vehicle based on vehicle-to-grid application [J]. Power System Protection and Control, 2019, 47(14): 1-9. [10] 罗金满, 赵善龙, 封祐钧, 等. 考虑综合需求响应不确定性的电-气综合能源系统优化运行[J]. 中国电力, 2020, 53(12): 119-126. LUO J M, ZHAO S L, FENG Y J, et al. Optimal operation of integrated electricity-gas system considering uncertainty of integrated demand response [J]. Electric Power, 2020, 53(12): 119-126. [11] 崔杨, 闫石, 仲悟之, 等. 含电转气的区域综合能源系统热电优化调度[J]. 电网技术, 2020, 44(11): 4254-4264. CUI Y, YAN S, ZHONG W Z, et al. Optimal thermoelectric dispatching of regional integrated energy system with power-to-gas [J]. Power System Technology, 2020, 44(11): 4254-4264. [12] NI L N, LIU W J, WEN F S, et al. Optimal operation of electricity, natural gas and heat systems considering integrated demand responses and diversified storage devices [J]. Journal of Modern Power Systems and Clean Energy, 2018, 6(3): 423-437. [13] 陈冠廷, 张利, 刘宁宁, 等. 基于区块链的面向居民用户需求响应交易机制[J]. 电力自动化设备, 2020, 40(8): 9-17. CHEN G T, ZHANG L, LIU N N, et al. Blockchain-based transaction mechanism for residential users demand response [J]. Electric Power Automation Equipment, 2020, 40(8): 9-17. [14] 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 C W, LI Q Y, LI H X, et al. Methodology and operation mechanism of demand response resources integration based on load aggregation [J]. Automation of Electric Power Systems, 2013, 37(17): 78-86. [15] 杜江, 董超, 邸鹏宇, 等. 电力市场期货交易的分析与应用[J]. 机电信息, 2018(30): 114-115+117. [16] XU F Y, TANG R X, XU S B, et al. Neural network-based photovoltaic generation capacity prediction system with benefit-oriented modification[J]. Energy, 2021, 223: 119748. [17] LI D S, GAO C W, SHI X M. Study on coupled planning of power grid and gas network considering P2G device [C]// 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2) , Beijing: IEEE, 2017. [18] ZHANG Y C, HUANG Z H, ZHENG F, et al. Interval optimization based coordination scheduling of gas–electricity coupled system considering wind power uncertainty, dynamic process of natural gas flow and demand response management[J]. Energy Reports, 2020, 6: 216-227. |
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