计及冷、热、电联产的气电互联网络最优调度
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摘要
能源互联网的发展提高了系统的能效、经济性和安全性。储气备用不仅维护了气网自身的安全运行,还能支持燃气轮机出力快速变化,提供电网额外的灵活备用,这对平衡电网中的可再生能源和多能源负荷具有重要意义。此外,气电网络间的高效协调互补,与包括冷、热、电三联产设施在内的多能源应用的运行也有赖于充足的储气备用。为促进气电互联网络安全高效地运行,创新地将储气备用纳入调度优化,提出了一种含有三联产设施的气电互联网络的多目标最优调度模型,并使用NSGAII进行求解。算例分析显示了所提方法的有效性。
The development of the energy internet promotes the efficiency, economy and security of the energy system. In the Integrated Electrical and Natural Gas Network(IEGN), linepack reserves not only secure the safe operation of the natural gas network, but also could be employed by gas turbines to provide fast-response flexibility. It plays an increasingly significant role in balancing the electrical network with renewable energy sources and multi-energy utilizations. Besides, the linepack reserve also guards the coordination between networks, and the normal function of multi-energy utilizations, including combined cooling, heat and power, aka trigeneration plants. To promote the safety and coordination of the IEGN, this paper novelly integrates the linepack reserve into the dispatch process and proposes a multi-objective optimal dispatch model for the IEGN with trigeneration plants to simultaneously promote its economy, safety and efficiency. NSGAII is employed to solve it. Finally, case studies demonstrate its effectiveness.
The development of the energy internet promotes the efficiency, economy and security of the energy system. In the Integrated Electrical and Natural Gas Network(IEGN), linepack reserves not only secure the safe operation of the natural gas network, but also could be employed by gas turbines to provide fast-response flexibility. It plays an increasingly significant role in balancing the electrical network with renewable energy sources and multi-energy utilizations. Besides, the linepack reserve also guards the coordination between networks, and the normal function of multi-energy utilizations, including combined cooling, heat and power, aka trigeneration plants. To promote the safety and coordination of the IEGN, this paper novelly integrates the linepack reserve into the dispatch process and proposes a multi-objective optimal dispatch model for the IEGN with trigeneration plants to simultaneously promote its economy, safety and efficiency. NSGAII is employed to solve it. Finally, case studies demonstrate its effectiveness.
引文
[1]董朝阳,赵俊华,文福拴,等.从智能电网到能源互联网:基本概念与研究框架[J].电力系统自动化,2014,38(15):1-11.DONG Zhaoyang,ZHAO Junhua,WEN Fushuan,et al.From smart grid to energy internet:basic concept and research framework[J].Automation of Electric Power Systems,2014,38(15):1-11.
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[14]LIU C,SHAHIDEHPOUR M,FU Y,et al.Securityconstrained unit commitment with natural gas transmission constraints[J].IEEE Transactions on Power Systems,2009,24(3):1523-1536.
[15]LIU C,SHAHIDEHPOUR M,WANG J.Coordinated scheduling of electricity and natural gas infrastructures with a transient model for natural gas flow[J].Chaos2011,21:025102-1-025102-12.
[16]UNSIHUAY C,LIMA J W M,DE SOUZA A C Z.Modeling the integrated natural gas and electricity optimal power flow[C]//2007 IEEE Power Engineering Society General Meeting,June 24-28,2007,Tampa,FL,USA:1-7.
[17]孙国强,陈霜,卫志农,等.计及相关性的电-气互联系统概率最优潮流[J].电力系统自动化,2015,39(21):11-17.SUN Guoqiang,CHEN Shuang,WEI Zhinong,et al.Probabilistic optimal power flow of combined natural gas and electric system considering correlation[J].Automation of Electric Power Systems,2015,39(21):11-17.
[18]胡源,别朝红,李更丰,等.天然气网络和电源、电网联合规划的方法研究[J].中国电机工程学报,2017,37(1):45-53.HU Yuan,BIE Zhaohong,LI Gengfeng,et al.Integrated planning of natural gas network and composite power system[J].Proceedings of the CSEE,2017,37(1):45-53.
[19]刘继春,周春燕,高红均,等.考虑氢能-天然气混合储能的电-气综合能源微网日前经济调度优化[J].电网技术,2018,42(1):170-179.LIU Jichun,ZHOU Chunyan,GAO Hongjun,et al.Aday-ahead economic dispatch optimization model of integrated electricity-natural gas system considering hydrogen-gas energy storage system in microgrid[J].Power System Technology,2018,42(1):170-179.
[20]DEB K,PRATAP A,AGARWAL S,et al.A fast and elitist multi-objective genetic algorithm:NSGA-II[J].IEEETransactions on Evolutionary Computation,2002,6(2):182-197.
[21]张义斌.天然气-电力混合系统分析方法研究[D].北京:中国电力科学研究院,2005.ZHANG Yibin.Study on the methods for analyzing combined gas and electricity networks[D].Beijing:China Electric Power Research Institute,2005.
[22]RAY Z,CARLOS M.Matpower6.0 user’s manual[EB/OL].[2018-08-22].http://www.pserc.cornell.edu/matpower/
[2]王伟亮,王丹,贾宏杰,等.能源互联网背景下的典型区域综合能源系统稳态分析研究综述[J].中国电机工程学报,2016,36(12):3292-3305.WANG Weiliang,WANG Dan,JIA Hongjie,et al.Review of steady-state analysis of typical regional integrated energy system under the background of energy internet[J].Proceedings of the CSEE,2016,36(12):3292-3305.
[3]马宇辉,刘念.用户侧微电网的能量管理方法综述[J].电力系统保护与控制,2017,45(23):158-168.MA Yuhui,LIU Nian.Survey on energy management method of community micro-grid[J].Power System Protection and Control,2017,45(23):158-168.
[4]张延宇,曾鹏,臧传治.智能电网环境下家庭能源管理系统研究综述[J].电力系统保护与控制,2014,42(18):144-154.ZHANG Yanyu,ZENG Peng,ZANG Chuanzhi.Review of home energy management system in smart grid[J].Power System Protection and Control,2014,45(18):144-154.
[5]BALDICK R.Flexibility and availability:can the natural gas supply support these needs?[J].IEEE Power and Energy Magazine,2014,12:104-110.
[6]KEYAERTS N,HALLACK M,GLACHANT J M,et al.Gas market distorting effects of imbalanced gas balancing rules:Inefficient regulation of pipeline flexibility[J].Energy Policy,2011,39:865-876.
[7]CLEGG S,MANCARELLA P.Integrated electrical and gas network flexibility assessment in low-carbon multi-energy systems[C]//2016 IEEE Power and Energy Society General Meeting(PESGM),July 17-21,2016,Boston,MA,USA:1-1.
[8]胡殿刚,潘正婕,徐昊亮,等.大规模可再生能源并网条件下天然气机组调峰空间估算[J].电力系统保护与控制,2017,45(3):87-93.HU Diangang,PAN Zhengjie,XU Haoliang,et al.Peaking capacity estimation of natural gas unit under the condition of large-scale renewable energy connecting with power grid[J].Power System Protection and Control,2017,45(3):87-93.
[9]孙可,吴臻,尚楠,等.以省为实体的区域能源互联网内涵框架及发展方向分析[J].电力系统保护与控制,2017,45(5):1-9.SUN Ke,WU Zhen,SHANG Nan,et al.Provincial regional energy internet framework and development tendency analysis[J].Power System Protection and Control,2017,45(5):1-9.
[10]MANCARELLA P.From cogeneration to trigeneration:energy planning and evaluation in a competitive market framework[D].Italy:Politecnico di Torino,2006.
[11]CHICCO G,MANCARELLA P.Evaluation of MGalternatives:an approach based on load transformations[C]//2008 IEEE Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century,Pittsburgh,PA,2008:1-6.
[12]CHICCO G,MANCARELLA P.Enhanced energy saving performance in composite trigeneration systems[C]//2007 IEEE Lausanne Power Tech,July 1-5,2007,Lausanne,Switzerland:1423-1428.
[13]王英瑞,曾博,郭经,等.电-热-气综合能源系统多能流计算方法[J].电网技术,2016,40(10):2942-2950.WANG Yingrui,ZENG Bo,GUO Jing,et al.Multi-energy flow calculation method for integrated energy system containing electricity,heat and gas[J].Power System Technology,2016,40(10):2942-2950.
[14]LIU C,SHAHIDEHPOUR M,FU Y,et al.Securityconstrained unit commitment with natural gas transmission constraints[J].IEEE Transactions on Power Systems,2009,24(3):1523-1536.
[15]LIU C,SHAHIDEHPOUR M,WANG J.Coordinated scheduling of electricity and natural gas infrastructures with a transient model for natural gas flow[J].Chaos2011,21:025102-1-025102-12.
[16]UNSIHUAY C,LIMA J W M,DE SOUZA A C Z.Modeling the integrated natural gas and electricity optimal power flow[C]//2007 IEEE Power Engineering Society General Meeting,June 24-28,2007,Tampa,FL,USA:1-7.
[17]孙国强,陈霜,卫志农,等.计及相关性的电-气互联系统概率最优潮流[J].电力系统自动化,2015,39(21):11-17.SUN Guoqiang,CHEN Shuang,WEI Zhinong,et al.Probabilistic optimal power flow of combined natural gas and electric system considering correlation[J].Automation of Electric Power Systems,2015,39(21):11-17.
[18]胡源,别朝红,李更丰,等.天然气网络和电源、电网联合规划的方法研究[J].中国电机工程学报,2017,37(1):45-53.HU Yuan,BIE Zhaohong,LI Gengfeng,et al.Integrated planning of natural gas network and composite power system[J].Proceedings of the CSEE,2017,37(1):45-53.
[19]刘继春,周春燕,高红均,等.考虑氢能-天然气混合储能的电-气综合能源微网日前经济调度优化[J].电网技术,2018,42(1):170-179.LIU Jichun,ZHOU Chunyan,GAO Hongjun,et al.Aday-ahead economic dispatch optimization model of integrated electricity-natural gas system considering hydrogen-gas energy storage system in microgrid[J].Power System Technology,2018,42(1):170-179.
[20]DEB K,PRATAP A,AGARWAL S,et al.A fast and elitist multi-objective genetic algorithm:NSGA-II[J].IEEETransactions on Evolutionary Computation,2002,6(2):182-197.
[21]张义斌.天然气-电力混合系统分析方法研究[D].北京:中国电力科学研究院,2005.ZHANG Yibin.Study on the methods for analyzing combined gas and electricity networks[D].Beijing:China Electric Power Research Institute,2005.
[22]RAY Z,CARLOS M.Matpower6.0 user’s manual[EB/OL].[2018-08-22].http://www.pserc.cornell.edu/matpower/
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