| 867 | 12 | 97 |
| 下载次数 | 被引频次 | 阅读次数 |
如何在区域综合能源系统中建立有效的需求侧模型，对于需求响应政策的实施至关重要。为提高用户参与需求响应积极性，引入实时定价机制，同时考虑系统的经济低碳性和电气热用户的用能满意度，构建兼顾系统和用户利益的综合需求响应主从博弈模型。针对用户参与需求响应的不确定性，引入贝叶斯方法更新负荷曲线。算例分析表明，所提博弈模型及贝叶斯方法能够有效平衡系统和用户之间的利益，提高了综合需求响应的可靠性。
Abstract：How to establish an effective demand-side model in a regional integrated energy system is crucial to the implementation of demand response policy. To improve the enthusiasm of users participating in demand response,a realtime pricing mechanism is introduced,and the low-carbon economy of the system and the energy consumption satisfaction of electricity,gas and heat users are both considered to establish a Stackelberg game model of integrated demand response,which strikes a balance between the interest of the system and those of users. In view of the uncertainties of demand response in which the users participate,the Bayesian approach is introduced to update the load curve. The analysis of examples shows that the proposed game model and the Bayesian approach can effectively balance the interests of the system and users,thus improving the reliability of integrated demand response.
[1]张运洲，代红才，吴潇雨，等（Zhang Yunzhou,Dai Hongcai,Wu Xiaoyu,et al）.中国综合能源服务发展趋势与关键问题（Development trends and key issues of China’s integrated energy services）[J].中国电力（Electric Power）,2021,54(2):1-10.
[2]程杉，魏昭彬，黄天力，等（Cheng Shan,Wei Zhaobin,Huang Tianli,et al）.基于多能互补的热电联供型微网优化运行（Multi-energy complementation based optimal operation of a microgrid with combined heat and power）[J].电力系统保护与控制（Power System Protection and Control）,2020,48(11):160-168.
[3]张涛，郭玥彤，李逸鸿，等（Zhang Tao,Guo Yuetong,Li Yihong,et al）.计及电气热综合需求响应的区域综合能源系统优化调度（Optimization scheduling of regional integrated energy systems based on electric-thermal-gas integrated demand response）[J].电力系统保护与控制（Power System Protection and Control）,2021,49(1):52-61.
[4]邱彬，宋绍鑫，王凯，等（Qiu Bin,Song Shaoxin,Wang Kai,et al）.计及需求响应和阶梯型碳交易机制的区域综合能源系统优化运行（Optimal operation of regional integrated energy system considering demand response and ladder-type carbon trading mechanism）[J].电力系统及其自动化学报（Proceedings of the CSU-EPSA）,2022,34(5):87-95,101.
[5]田丰，贾燕冰，任海泉，等（Tian Feng,Jia Yanbing,Ren Haiquan,et al）.计及用户行为及满意度的电-气综合能源系统优化调度（Optimal dispatch of electricity-gas integrated energy system considering user behavior and satisfaction）[J].电测与仪表（Electrical Measurement&Instrumentation）,2021,58(5):31-38.
[6]别朝红，胡国伟，谢海鹏，等（Bie Zhaohong,Hu Guowei,Xie Haipeng,et al）.考虑需求响应的含风电电力系统的优化调度（Optimal dispatch for wind power integrated systems considering demand response）[J].电力系统自动化（Automation of Electric Power Systems）,2014,38(13):115-120,159.
[7]王俊翔，李华强，邓靖微，等（Wang Junxiang,Li Huaqiang,Deng Jingwei,et al）.考虑需求侧灵活性资源的商业园区微网多目标优化调度（Multi-objective optimal scheduling of business park microgrid considering demand-side flexible resources）[J].电力建设（Electric Power Construction）,2021,42(3):35-44.
[8]罗金满，赵善龙，封祐钧，等（Luo Jinman,Zhao Shanlong,Feng Youjun,et al）.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（Optimal operation of integrated electricity-gas system considering uncertainty of integrated demand response）[J].中国电力（Electric Power）,2020,53(12):119-126.
[9] He Shuaijia,Gao Hongjun,Wang Lingfeng,et al. Distributionally robust planning for integrated energy systems incorporating electric-thermal demand response[J]. Energy,2020,213:118783.
[10]闫梦阳，李华强，王俊翔，等（Yan Mengyang,Li Huaqiang,Wang Junxiang,et al）.计及综合需求响应不确定性的园区综合能源系统优化运行模型（Optimal operation model of a park integrated energy system considering uncertainty of integrated demand response）[J].电力系统保护与控制（Power System Protection and Control）,2022,50(2):163-175.
[11] Clayton D,Kaldor J. Empirical Bayes estimates of agestandardized relative risks for use in disease mapping[J].Biometrics,1987,43(3):671-681.
[12] Karimi H,Jadid S. Optimal microgrid operation scheduling by a novel hybrid multi-objective and multi-attribute decision-making framework[J]. Energy,2019,186:115912.
[13]陈沼宇，王丹，贾宏杰，等（Chen Zhaoyu,Wang Dan,Jia Hongjie,et al）.考虑P2G多源储能型微网日前最优经济调度策略研究（Research on optimal day-ahead economic dispatching strategy for microgrid considering P2G and multi-source energy storage system）[J].中国电机工程学报（Proceedings of the CSEE）,2017,37(11):3067-3077.
[14]王义军，李梦涵，齐岩（Wang Yijun,Li Menghan,Qi Yan）.计及碳捕集电厂综合灵活运行方式的含P2G综合能源系统低碳经济调度（Low-carbon economic dispatching of integrated energy system with P2G considering comprehensive and flexible operation mode of carbon capture power plant）[J].电力自动化设备（Electric Power Automation Equipment）,2023,43(1):1-8.
[15]魏震波，马新如，郭毅，等（Wei Zhenbo,Ma Xinru,Guo Yi,et al）.碳交易机制下考虑需求响应的综合能源系统优化运行（Optimized operation of integrated energy system considering demand response under carbon trading mechanism）[J].电力建设（Electric Power Construction）,2022,43(1):1-9.
[16] Zhang Cuo,Xu Yan,Dong Zhaoyang,et al. Robust coordination of distributed generation and price-based demand response in microgrids[J]. IEEE Trans on Smart Grid,2018,9(5):4236-4247.
[17] Thimmapuram P R,Kim J. Consumers’price elasticity of demand modeling with economic effects on electricity markets using an agent-based model[J]. IEEE Trans on Smart Grid,2013,4(1):390-397.
[18]丁伟，袁家海，胡兆光（Ding Wei,Yuan Jiahai,Hu Zhaoguang）.基于用户价格响应和满意度的峰谷分时电价决策模型（Time-of-use price decision model considering users reaction and satisfaction index）[J].电力系统自动化（Automation of Electric Power Systems）,2005,29(20):10-14.
[19] Lin Fu,Yi Jiang. Optimal operation of a CHP plant for space heating as a peak load regulating plant[J]. Energy,2000,25(3):283-298.
[20]贺培春（He Peichun）.基于舒适度的室内空气调节系统研究（The Study about Indoor Air Conditioning Based on PMV）[D].重庆：重庆大学（Chongqing:Chongqing University）,2010.
[21]代业明，高红伟，高岩，等（Dai Yeming,Gao Hongwei,Gao Yan,et al）.具有电力需求预测更新的智能电网实时定价机制（Real-timepricing mechanism in smart grid with forecasting update of power demand）[J].电力系统自动化（Automation of Electric Power Systems）,2018,42(12):58-63.
[22]董雷，李研，陈乃仕（Dong Lei,Li Yan,Chen Naishi）.考虑发、用电侧利益主体博弈的双层调度方法（A two-layer scheduling method considering the game of stakeholders on the generator and electricity consumption sides）[J].电气应用（Electrotechnical Application）,2016,35(6):30-36.
[23]代帅帅，高岩（Dai Shuaishuai,Gao Yan）.基于碳排放与需求响应的园区IES双层优化调度（Bi-level optimal scheduling of integrated energy systems based on carbon emissions and demand response）[J].智能计算机与应用（Intelligent Computer and Applications）,2022,12(7):134-141.
[24]张涛，刘景，杨晓雷，等（Zhang Tao,Liu Jing,Yang Xiaolei,et al）.计及主/被动需求响应与条件风险价值的微网经济调度（Economic dispatch of microgrid considering active/passive demand response and conditional value at risk）[J].高电压技术（High Voltage Engineering）,2021,47(9):3292-3304.
[25]谷万江，王飞，田小蕾，等（Gu Wanjiang,Wang Fei,Tian Xiaolei,et al）.考虑储能及碳交易成本的电热联合系统优化调度策略（Optimal scheduling strategy for electricthermal combined system considering energy storage and carbon trading cost）[J].电网与清洁能源（Power Systems and Clean Energy）,2020,36(7):109-118.
基本信息:
DOI：10.19635/j.cnki.csu-epsa.001273
中图分类号:TK01;TM73
引用信息:
[1]张涛,田凤,杨航,等.考虑需求响应及不确定性的综合能源优化调度[J].电力系统及其自动化学报,2024,36(02):1-10.DOI:10.19635/j.cnki.csu-epsa.001273.
基金信息:
国家自然科学基金资助项目（52007103）
2023-05-26
2023-05-26
2023-05-26