钟永洁;孙永辉;王庭华;许周;王建喜;熊俊杰;诸晓骏;

• 1:河海大学能源与电气学院
• 2:国网江苏省电力有限公司经济技术研究院

摘要(Abstract)：

电热气互联能源系统(integrated power, heat and natural gas energy system,IPHNGES)对促进多能协同互补互济、实现系统低碳经济运行、提高系统灵活性调度潜力具有重要意义,已成为能源互联网的重要发展方向。综合考虑了多异构能源系统多元化互联方式,在传统能源转换单元基础上建立多种改进的具有连续调节能力、灵活性潜质更高的设备模型,模型更加精细化、实用化。提出了计及电力、热力、天然气子异构能源系统的统一稳态潮流模型,以IPHNGES碳排放、运行经济成本最小化为目标,基于多目标模糊优化方法对IPHNGES进行动态环保经济协同灵活性调度。最后,IPHNGES算例结果表明所提模型与方法的合理性与可行性。

关键词(KeyWords)： 电热气互联能源系统;经济调度;灵活性;协同优化

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(61673161);; 国网江苏省电力有限公司科技项目(J2019054)~~

作者(Author): 钟永洁;孙永辉;王庭华;许周;王建喜;熊俊杰;诸晓骏;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.2463

参考文献(References)：

• [1]艾芊，郝然．多能互补、集成优化能源系统关键技术及挑战[J]．电力系统自动化，2018,42(4):2-10.Ai Qian,Hao Ran.Key technologies and challenges for multi-energy complementarity and optimization of integrated energy system[J].Automation of Electric Power Systems,2018,42(4):2-10(in Chinese)．
• [2]Zhong Y J,Xie D L,Zhai S W,et a1.Day-ahead hierarchical steady state optimal operation for integrated energy system based on energy hub[J].Energies,2018,11(8):1-15．
• [3]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(in Chinese)．
• [4]杨帅，陈磊，徐飞，等．基于能量流的电热综合能源系统弃风消纳优化调度模型[J]．电网技术，2018,42(2):417-426.Yang Shuai,Chen Lei,Xu Fei,et al.Optimal dispatch model of wind power accommodation in integrated electrical-thermal power system based on power flow model[J].Power System Technology,2018,42(2):417-426(in Chinese)．
• [5]郝然，艾芊，朱宇超，等．基于能源集线器的区域综合能源系统分层优化调度[J]．电力自动化设备，2017,37(6):171-178.Hao Ran,Ai Qian,Zhu Yuchao,et al.Hierarchical optimal dispatch based on energy hub for regional integrated energy system[J].Electric Power Automation Equipment,2017,37(6):171-178(in Chinese)．
• [6]Zhong Y J,Xie D L,Zhou M,et al.Hierarchical optimal operation for integrated energy system based on energy hub[C]//Proceedings of2nd IEEE Conference on Energy Internet and Energy System Integration.Beijing,China:IEEE,2018:1-6．
• [7]董帅，王成福，徐士杰，等．计及网络动态特性的电-气-热综合能源系统日前优化调度[J]．电力系统自动化，2018,42(13):12-19.Dong Shuai,Wang Chengfu,Xu Shijie,et al.Day-ahead optimal scheduling of electricity-gas-heat integrated energy system considering dynamic characteristics of networks[J].Automation of Electric Power Systems,2018,42(13):12-19(in Chinese)．
• [8]窦迅，赵文浩，郎伊紫禾，等．计及电转气技术的天然气-电力耦合系统运行研究综述[J]．电网技术，2019,43(1):165-173.Dou Xun,Zhao Wenhao,Lang Yizihe,et al.A review of operation of natural gas-electricity coupling system considering power-to-gas technology[J].Power System Technology,2019,43(1):165-173(in Chinese)．
• [9]Zhang B W,Sun Y H,Zhong Y J,et al.Optimal energy flow of electricity-gas integrated energy system using second-order cone program[C]//Proceedings of the 30th Chinese Control and Decision Conference.Shenyang,China:IEEE,2018:5085-5089．
• [10]Yang L,Zhao X,Xu Y L,et al.A convex optimization and iterative solution based method for optimal power-gas flow considering power and gas losses[J].Electrical Power&Energy Systems,2020(121):1-12．
• [11]张博文，孙永辉，张世达．基于SOCP的综合能源系统日前调度概率最优能量流[J]．电力系统自动化，2019,43(6):25-33.Zhang Bowen,Sun Yonghui,Zhang Shida.Second-order cone programming based probabilistic optimal energy flow of day-ahead dispatch for integrated energy system[J].Automation of Electric Power Systems,2019,43(6):25-33(in Chinese)．
• [12]Yang L,Zhao X,Peng S,et al.Probabilistic power and mass flow analysis for integrated electricity and heating networks[J].Journal of Energy Engineering,2018,144(4):1-13．
• [13]崔杨，陈志，严干贵，等．基于含储热热电联产机组与电锅炉的弃风消纳协调调度模型[J]．中国电机工程学报，2016,36(15):4072-4081.Cui Yang,Chen Zhi,Yan Gangui,et al.Coordinated wind power accommodating dispatch model based on electric boiler and CHP with thermal energy storage[J].Proceedings of the CSEE,2016,36(15):4072-4081(in Chinese)．
• [14]Yu J,Guo L,Ma M N,et al.Risk assessment of integrated electrical,natural gas and district heating systems considering solar thermal CHP plants and electric boilers[J].International Journal of Electrical Power and Energy Systems,2018(103):277-287．
• [15]钟永洁，孙永辉，谢东亮，等．含电-热-气-冷子系统的区域综合能源系统多场景优化调度[J]．电力系统自动化，2019,43(12):76-84.Zhong Yongjie,Sun Yonghui,Xie Dongliang,et al.Multi-scenario optimal dispatch of integrated community energy system with power-heating-gas-cooling subsystems[J].Automation of Electric Power Systems,2019,43(12):76-84(in Chinese)．
• [16]Yang L,Zhao X,Li X Y,et al.Probabilistic steady-state operation and interaction analysis of integrated electricity,gas and heating systems[J].Energies,2018,11(4):1-21．
• [17]张磊，罗毅，罗恒恒，等．基于集中供热系统储热特性的热电联产机组多时间尺度灵活性协调调度[J]．中国电机工程学报，2018,38(4):985-998.Zhang Lei,Luo Yi,Luo Hengheng,et al.Scheduling of integrated heat and power system considering multiple time-scale flexibility of CHP unit based on heat characteristic of DHS[J].Proceedings of the CSEE,2018,38(4):985-998(in Chinese)．
• [18]杨龙杰，李华强，余雪莹，等．计及灵活性的孤岛型微电网多目标日前优化调度方法[J]．电网技术，2018,42(5):1433-1441.Yang Longjie,Li Huaqiang,Yu Xueying,et al.Multi-objective day-ahead optimal scheduling of isolated microgrid considering flexibility[J].Power System Technology,2018,42(5):1433-1441(in Chinese)．
• [19]Li Y,Wang J L,Zhao D B,et al.A two-stage approach for combined heat and power economic emission dispatch:combining multi-objective optimization with integrated decision making[J].Energy,2018,162(1):237-254．
• [20]Li Y,Zou Y,Tan Y,et al.Optimal stochastic operation of integrated low-carbon electric power,natural gas and heat delivery system[J].IEEE Transactions on Sustainable Energy,2018,9(1):273-283．
• [21]李建林，谢志佳，李德鑫，等．蓄热式电锅炉提升风电消纳能力关键技术研究[J]．电器与能效管理技术，2018(1):1-7.Li Jianlin,Xie Zhijia,Li Dexin,et al.Research on key technologies of electric boiler with thermal energy storage in facilitating wind power accommodation capability[J].Electrical and Energy Management Technology,2018(1):1-7(in Chinese)．
• [22]Zhong Y J,Zhou H W,Zong X J,et al.Hierarchical multi-objective fuzzy collaborative optimization of integrated energy system under off-design performance[J].Energies,2019,12(5):1-27．
• [23]李国庆，庄冠群，田春光，等．基于大规模储能融合蓄热式电锅炉的风电消纳多目标优化控制[J]．电力自动化设备，2018,39(10):46-52.Li Guoqing,Zhuang Guanqun,Tian Chunguang,et al.Multi-objective optimization control of wind power consumption based on regenerative electric boiler system integrated with large-scale energy storage[J].Electric Power Automation Equipment,2018,39(10):46-52(in Chinese).