基于网络模型的综合能源系统参数辨识与效率识别
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摘要
随着能源互联网的快速发展,综合能源系统建模的准确性对其运行经济性、高效性至关重要。文章在已有设备模型基础上,考虑设备间拓扑连接和能量梯级利用关系,建立面向综合能源系统的多能网络模型;建立指数型目标函数的抗差估计模型,利用实际现场的运行数据实现设备参数的准确辨识,并对比分析提出的抗差方法相对于传统最小二乘估计方法的优势;进一步提出了基于网络模型的综合能源系统效率评价模型,通过抗差辨识得到的设备模型计算多种典型工况下的理论效率,并与现场实测效率对比,证明了所提方法的有效性以及抗差参数的准确性。
With the rapid development of the Energy Internet,the accuracy of integrated energy system modeling is crucial to the economic and efficient operation of the system. On the basis of existing equipment model,considering the relationship between equipment topology and energy cascade utilization,this paper establishes a multi-energy network model for integrated energy systems. Then the robust estimation model of the exponential objective function is established,and the actual parameters of the equipment are used to accurately identify the equipment parameters. The advantages of the robust method proposed in this paper over the traditional least squares estimation method are compared and analyzed. Furthermore,the energy efficiency evaluation model of integrated energy system based on network model is proposed. The effectiveness of the proposed method and the accuracy of the robust parameters are proved by comparing the theoretical efficiency calculated by the equipment model obtained by the robust identification with the actual measured efficiency under various typical conditions.
With the rapid development of the Energy Internet,the accuracy of integrated energy system modeling is crucial to the economic and efficient operation of the system. On the basis of existing equipment model,considering the relationship between equipment topology and energy cascade utilization,this paper establishes a multi-energy network model for integrated energy systems. Then the robust estimation model of the exponential objective function is established,and the actual parameters of the equipment are used to accurately identify the equipment parameters. The advantages of the robust method proposed in this paper over the traditional least squares estimation method are compared and analyzed. Furthermore,the energy efficiency evaluation model of integrated energy system based on network model is proposed. The effectiveness of the proposed method and the accuracy of the robust parameters are proved by comparing the theoretical efficiency calculated by the equipment model obtained by the robust identification with the actual measured efficiency under various typical conditions.
引文
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[19]孙秋野,胡旌伟,杨凌霄,等.基于GAN技术的自能源混合建模与参数辨识方法[J].自动化学报,2018,44(5):901-914.SUN Qiuye,HU Jingw ei,YANG Lingxiao,et al.We-energy hybrid modeling and parameter identification w ith GAN technology[J].Acta Automatica Sinica,2018,44(5):901-914.
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[2]赵军.解读生物能源:新能源产业及对环境、生态与社会经济发展的影响[J].中国科学院院刊,2012,27(2):219-225.ZHAO Jun.Bioenergy as a new energy industry:Insights into its impact on environmental,ecological,social and economic future[J].Bulletin of the Chinese Academy of Sciences,2012,27(2):219-225.
[3]孙宏斌,潘昭光,郭庆来.多能流能量管理研究:挑战与展望[J].电力系统自动化,2016,40(15):1-8.SUN Hongbin,PAN Zhaoguang,GUO Qinglai.Energy management for multi-energy flow:Challenges and prospects[J].Automation of Electric Pow er Systems,2016,40(15):1-8.
[4]孙宏斌,郭庆来,潘昭光.能源互联网:理念、架构与前沿展望[J].电力系统自动化,2015,39(19):1-8.SUN Hongbin,GUO Qinglai,PAN Zhaoguang.Energy Internet:Concept,architecture and frontier outlook[J].Automation of Electric Pow er Systems,2015,39(19):1-8.
[5]殷爽睿,艾芊,曾顺奇,等.能源互联网多能分布式优化研究挑战与展望[J].电网技术,2018,42(5):1359-1369.YIN Shuangrui,AI Qian,ZENG Shunqi,et al.Challenges and prospects of multi-energy distributed optimization for energy internet[J].Power System Technology,2018,42(5):1359-1369.
[6]曾鸣,刘英新,周鹏程,等.综合能源系统建模及效益评价体系综述与展望[J].电网技术,2018,42(6):1697-1709.ZENG M ing,LIU Yingxin,ZHOU Pengcheng,et al.Review and prospects of integrated energy system modeling and benefit evaluation[J].Pow er System Technology,2018,42(6):1697-1709.
[7]CHICCO G,MANCARELLA P.Distributed multi-generation:Acomprehensive view[J].Renew able&Sustainable Energy Review s,2009,13(2):535-551.
[8]WANG J J,JING Y Y,ZHANG C F,et al.Performance comparison of combined cooling heating and pow er system in different operation modes[J].Applied Energy,2011,88(12):4621-4631.
[9]FANG F,WANG Q H,SHI Y.A Novel optimal operational strategy for the CCHP system based on tw o operating modes[J].IEEE Transactions on Pow er Systems,2012,27(2):1032-1041.
[10]LI Z,XU Y.Optimal coordinated energy dispatch of a multienergy microgrid in grid-connected and islanded modes[J].Applied Energy,2018,210:974-986.
[11]DAI Y H,CHEN L,MIN Y,et al.Dispatch model of combined heat and pow er plant considering heat transfer process[J].IEEETransactions on Sustainable Energy,2017,8(3):1225-1236.
[12]LIN C H,WU W C,ZHANG B M,et al.Decentralized solution for combined heat and pow er dispatch through benders decomposition[J].IEEE Transactions on Sustainable Energy,2017,8(4):1361-1372.
[13]JERKO L,JOAN C B,ALBERTO C.Performance analysis of small capacity chillers by using different modeling methods[J].Applied Thermal Engineering,2013,35:305-313.
[14]孙明轩,毕宏博.学习辨识:最小二乘算法及其重复一致性[J].自动化学报,2012,38(5):698-706.SUN M ingxuan,BI Hongbo.Learning identification:Least squares algorithms and their repetitive consistency[J].Acta Automatica Sinica,2012,38(5):698-706.
[15]王乐一,赵文虓.系统辨识:新的模式、挑战及机遇[J].自动化学报,2013,39(7):933-942.WANG Leyi,ZHAO Wenxiao.System identification:New paradigms,challenges and opportunities[J].Acta Automatica Sincia,2013,39(7):933-942.
[16]RUANO A E,FLEMING P J,TEIXEIR A,et al.Nonlinear identification of aircraft gas-turbine dnamics[J].Neurocomputing,2003,55(3):551-579.
[17]BASSO M,GIARRE L,GROPPI S,et al.NARX models of an industrial pow er plant gas turbine[J].IEEE Transactions on Control Systems Technology,2005,13(4):599-604.
[18]贾宏杰,戚冯宇,徐宪东,等.微型燃气轮机型综合能源系统的建模与辨识[J].天津大学学报(自然科学与工程技术版),2017,50(2):215-223.JIA Hongjie,QI Fengyu,XU Xiandong,et al.M odeling and identification of integrated energy system containing micro gas turbine[J].Journal of Tianjin University(Natural Science and Engineering Technology),2017,50(2):215-223.
[19]孙秋野,胡旌伟,杨凌霄,等.基于GAN技术的自能源混合建模与参数辨识方法[J].自动化学报,2018,44(5):901-914.SUN Qiuye,HU Jingw ei,YANG Lingxiao,et al.We-energy hybrid modeling and parameter identification w ith GAN technology[J].Acta Automatica Sinica,2018,44(5):901-914.
[20]董今妮,孙宏斌,郭庆来,等.面向能源互联网的电-气耦合网络状态估计技术[J].电网技术,2018,42(2):400-408.DONG Jinni,SUN Hongbin,GUO Qinglai,et al.State estimation of combined electric-gas netw orks for energy Internet[J].Pow er System Technology,2018,42(2):400-408.
[21]薛屹洵,郭庆来,孙宏斌,等.面向多能协同园区的能源综合利用率指标[J].电力自动化设备,2017,37(6):117-123.XUE Yixun,GUO Qinglai,SUN Hongbin,et al.Comprehensive energy utilization index for the park-level multi-energy system[J].Electric Pow er Automation Equipment,2017,37(6):117-123.