微能源网多能源耦合枢纽的模型搭建与优化
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摘要
多能源耦合枢纽作为微能源网的核心部件,其系统模型的准确性将影响微能源网的运行效率。文中针对一种包含太阳能和风能发电系统、储能系统、有机朗肯循环系统、传统冷热电三联供系统的多能源耦合枢纽,综合考虑负荷需求、价格因素和环境因素,以系统运行成本、一次能源消耗量和碳排放量最小化为目标,建立了微能源网中多能源互补的多目标优化模型;采用粒子群算法对发电机和储能的运行策略进行求解,得到最优目标。最后,与微电网进行对比分析,验证了多能耦合系统在提高能源利用率和减少碳排放方面的优势。
Multi-energy coupling hub is the core component of micro-energy network,so the accuracy of its system model has an effect on the operation efficiency of the micro-energy network.Aiming at the multi-energy coupling hub which consists of solar power and wind power generation systems,energy storage systems,organic Rankine cycle(ORC)systems and combined cooling,heating and power(CCHP)systems,this paper develops a multi-objective optimization model for multi-energy coupling in the micro-energy network.The optimization model considers the load demand,the price factor and the environment,and it aims to minimize the system operation costs,primary energy consumption and carbon emissions.The particle swarm optimization(PSO)algorithm is used to solve the operation strategies of the generator and the energy storage system,and the optimal target is obtained.Finally,the advantages of the multi-energy coupling system in energy efficiency and carbon emissions are verified by comparing it with the microgrid.
Multi-energy coupling hub is the core component of micro-energy network,so the accuracy of its system model has an effect on the operation efficiency of the micro-energy network.Aiming at the multi-energy coupling hub which consists of solar power and wind power generation systems,energy storage systems,organic Rankine cycle(ORC)systems and combined cooling,heating and power(CCHP)systems,this paper develops a multi-objective optimization model for multi-energy coupling in the micro-energy network.The optimization model considers the load demand,the price factor and the environment,and it aims to minimize the system operation costs,primary energy consumption and carbon emissions.The particle swarm optimization(PSO)algorithm is used to solve the operation strategies of the generator and the energy storage system,and the optimal target is obtained.Finally,the advantages of the multi-energy coupling system in energy efficiency and carbon emissions are verified by comparing it with the microgrid.
引文
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[18]ZHANG Xianjun,KARADY G G,ARIARATNAM S T.Optimal allocation of CHP-based distributed generation on urban energy distribution networks[J].IEEE Transactions on Sustainable Energy,2014,5(1):246-253.
[19]肖小清,阚伟民,杨允,等.有蓄能的联供系统超结构优化配置[J].中国电机工程学报,2012,32(32):8-14.XIAO Xiaoqing,KAN Weimin,YANG Yun,et al.Superstructure-based optimal planning of cogeneration systems with storage[J].Proceedings of the CSEE,2012,32(32):8-14.
[20]张涛,朱彤,高乃平,等.分布式冷热电能源系统优化设计及多指标综合评价方法的研究[J].中国电机工程学报,2015,35(14):3706-3713.ZHANG Tao,ZHU Tong,GAO Naiping,et al.Optimization design and multi-criteria comprehensive evaluation method of combined cooling heating and power system[J].Proceedings of the CSEE,2015,35(14):3706-3713.
[21]刘豪,朱彤,张涛.上海地区不同类型建筑的CCHP-ORC系统评价与分析[J].中国电机工程学报,2016,36(12):3198-3206.LIU Hao,ZHU Tong,ZHANG Tao.Evaluation and analysis of CCHP-ORC system for different buildings in Shanghai[J].Proceedings of the CSEE,2016,36(12):3198-3206.
[22]洪博文,郭力,王成山,等.微电网多目标动态优化调度模型与方法[J].电力自动化设备,2013,33(3):100-107.HONG Bowen,GUO Li,WANG Chengshan,et al.Model and method of dynamic multi-objective optimal dispatch for microgrid[J].Electric Power Automation Equipment,2013,33(3):100-107.
[23]胡超.基于环境价值的节能发电调度环境影响评价[D].北京:华北电力大学,2009.HU Chao.The environmental impact assessment of energysaving generation dispatch based on environmental value[D].Beijing:North China Electric Power University,2009.
[2]贾宏杰,王丹,徐宪东,等.区域综合能源系统若干问题研究[J].电力系统自动化,2015,39(7):198-207.DOI:10.7500/AEPS20141009011.JIA Hongjie,WANG Dan,XU Xiandong,et al.Research on some key problems related to integrated energy systems[J].Automation of Electric Power Systems,2015,39(7):198-207.DOI:10.7500/AEPS20141009011.
[3]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.
[4]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 Yi,ZHANG Ning,KANG Chongqing.Review and prospect of optimal planning and operation of energy hub in energy internet[J].Proceedings of the CSEE,2015,35(22):5669-5681.
[5]徐梦超,邰能灵,黄文焘,等.基于社区能源网的电能路由器设计[J].电力系统保护与控制,2016,44(23):177-183.XU Mengchao,TAI Nengling,HUANG Wentao,et al.Energy router design based on community energy network[J].Power System Protection and Control,2016,44(23):177-183.
[6]马腾飞,吴俊勇,郝亮亮.含冷热电三联供的微能源网能量流计算及综合仿真[J].电力系统自动化,2016,40(23):22-27.DOI:10.7500/AEPS20160426005.MA Tengfei,WU Junyong,HAO Liangliang.Energy flow calculation and integrated simulation of micro-energy grid with combined cooling,heating and power[J].Automation of Electric Power Systems,2016,40(23):22-27.DOI:10.7500/AEPS20160426005.
[7]薛小代,刘彬卉,汪雨辰,等.基于压缩空气储能的社区微能源网设计[J].中国电机工程学报,2016,36(12):3306-3314.XUE Xiaodai,LIU Binhui,WANG Yuchen,et al.Micro energy network design for community based on compressed air energy storage[J].Proceedings of the CSEE,2016,36(12):3306-3314.
[8]胡荣,马杰,李振坤,等.分布式冷热电联供系统优化配置与适用性分析[J].电网技术,2017,41(2):418-425.HU Rong,MA Jie,LI Zhenkun,et al.Optimal allocation and applicability analysis of distributed combined cooling-heatingpower system[J].Power System Technology,2017,41(2):418-425.
[9]王进,李欣然,杨洪明,等.与电力系统协同区域型分布式冷热电联供能源系统集成方案[J].电力系统自动化,2014,38(16):16-21.DOI:10.7500/AEPS20130523006.WANG Jin,LI Xinran,YANG Hongming,et al.An integration scheme for DES/CCHP coordinated with power system[J].Automation of Electric Power Systems,2014,38(16):16-21.DOI:10.7500/AEPS20130523006.
[10]徐宪东,贾宏杰,靳小龙,等.区域综合能源系统电/气/热混合潮流算法研究[J].中国电机工程学报,2015,35(14):3634-3642.XU Xiandong,JIA Hongjie,JIN Xiaolong,et al.Study on hybrid heat-gas-power flow algorithm for integrated community energy system[J].Proceedings of the CSEE,2015,35(14):3634-3642.
[11]王珺,顾伟,陆帅,等.结合热网模型的多区域综合能源系统协同规划[J].电力系统自动化,2016,40(15):17-24.DOI:10.7500/AEPS20160426010.WANG Jun,GU Wei,LU Shuai,et al.Coordinated planning of multi-district integrated energy system combining heating network model[J].Automation of Electric Power Systems,2016,40(15):17-24.DOI:10.7500/AEPS20160426010.
[12]ZHANG Xiaping,CHE Liang,SHAHIDEHPOUR M A,et al.Reliability-based optimal planning of electricity and natural gas interconnections for multiple energy hubs[J].IEEE Transactions on Smart Grid,2017,8(4):1658-1667.
[13]刘星月,吴红斌.太阳能综合利用的冷热电联供系统控制策略和运行优化[J].电力系统自动化,2015,39(12):1-6.DOI:10.7500/AEPS20140626004.LIU Xingyue,WU Hongbin.A control strategy and operation optimization of combined cooling heating and power system considering solar comprehensive utilization[J].Automation of Electric Power Systems,2015,39(12):1-6.DOI:10.7500/AEPS20140626004.
[14]杨永标,于建成,李奕杰,等.含光伏和蓄能的冷热电联供系统调峰调蓄优化调度[J].电力系统自动化,2017,41(6):6-12.DOI:10.7500/AEPS20160610002.YANG Yongbiao,YU Jiancheng,LI Yijie,et al.Optimal load leveling dispatch of CCHP incorporating photovoltaic and storage[J].Automation of Electric Power Systems,2017,41(6):6-12.DOI:10.7500/AEPS20160610002.
[15]HA T,ZHANG Yongjun,THANG V V,et al.Energy hub modeling to minimize residential energy costs considering solar energy and BESS[J].Journal of Modern Power Systems and Clean Energy,2017,5(3):389-399.
[16]闫占新,刘俊勇,魏震波,等.多能源等效替代方式及其转移效益模型[J].电网技术,2016,40(6):1620-1626.YAN Zhanxin,LIU Junyong,WEI Zhenbo,et al.Investigation on multi-energy equivalent mode and transition benefit model[J].Power System Technology,2016,40(6):1620-1626.
[17]SHEIKHI A,BAHRAMI S,RANJBAR A M.An autonomous demand response program for electricity and natural gas networks in smart energy hubs[J].Energy,2015,89:490-499.
[18]ZHANG Xianjun,KARADY G G,ARIARATNAM S T.Optimal allocation of CHP-based distributed generation on urban energy distribution networks[J].IEEE Transactions on Sustainable Energy,2014,5(1):246-253.
[19]肖小清,阚伟民,杨允,等.有蓄能的联供系统超结构优化配置[J].中国电机工程学报,2012,32(32):8-14.XIAO Xiaoqing,KAN Weimin,YANG Yun,et al.Superstructure-based optimal planning of cogeneration systems with storage[J].Proceedings of the CSEE,2012,32(32):8-14.
[20]张涛,朱彤,高乃平,等.分布式冷热电能源系统优化设计及多指标综合评价方法的研究[J].中国电机工程学报,2015,35(14):3706-3713.ZHANG Tao,ZHU Tong,GAO Naiping,et al.Optimization design and multi-criteria comprehensive evaluation method of combined cooling heating and power system[J].Proceedings of the CSEE,2015,35(14):3706-3713.
[21]刘豪,朱彤,张涛.上海地区不同类型建筑的CCHP-ORC系统评价与分析[J].中国电机工程学报,2016,36(12):3198-3206.LIU Hao,ZHU Tong,ZHANG Tao.Evaluation and analysis of CCHP-ORC system for different buildings in Shanghai[J].Proceedings of the CSEE,2016,36(12):3198-3206.
[22]洪博文,郭力,王成山,等.微电网多目标动态优化调度模型与方法[J].电力自动化设备,2013,33(3):100-107.HONG Bowen,GUO Li,WANG Chengshan,et al.Model and method of dynamic multi-objective optimal dispatch for microgrid[J].Electric Power Automation Equipment,2013,33(3):100-107.
[23]胡超.基于环境价值的节能发电调度环境影响评价[D].北京:华北电力大学,2009.HU Chao.The environmental impact assessment of energysaving generation dispatch based on environmental value[D].Beijing:North China Electric Power University,2009.