多源区域型分布式冷热电互联系统优化调度
|
摘要
为了提高区域分布式冷热电联供系统的能源利用效率,考虑冷/热环网和电力辐射网的耦合,构建了冷热电联供单元与液态天然气冷能梯阶利用的能源系统。计及负荷需求和可再生能源的不确定性,通过对互联系统的天然气输入量、用户购入和回馈电量进行决策,以天然气购买成本、购电成本、碳排放成本和交互功率不平衡结算成本之和最小化为目标,提出多源区域型分布式冷热电互联系统的协同优化模型。以IEEE-15节点系统为例,详细分析了独立系统和互联系统对配电调峰的影响以及不平衡价格系数对运行成本的影响,结果验证了分布式冷热电联供互联系统具有很好的经济和环境效益、调峰效果和运行可靠性。
To improve the energy utilization efficiency of a regional distributed energy system with combined cooling,heating and power generation(DES/CCHP),an energy system with cogeneration units and liquefied natural gas(LNG)cold energy ladder utilization is constructed considering the coupling between cold/hot ring network and power radiation network. By taking the uncertainties in load demand and renewable energy into account,a collaborative optimization model of a multi-energy regional distributed system with CCHP is put forward. The objective is to minimize the sum of the cost of natural gas purchase,cost of electricity purchase,cost of carbon emissions,and the unbalanced settlement cost of interactive power. The decision variables include the input quantity of natural gas,and electric quantities purchased by users and fed back by them. An IEEE 15-bus system is adopted as an example,and the influences of independent and interconnected systems on the peak-regulation of power distribution system,as well as the influence of unbalanced price coefficient on the operation cost of the system,are analyzed in detail. Numerical results verify that the distributed system with CCHP has good economic and environmental benefits,peak-regulation effect and operation reliability.
To improve the energy utilization efficiency of a regional distributed energy system with combined cooling,heating and power generation(DES/CCHP),an energy system with cogeneration units and liquefied natural gas(LNG)cold energy ladder utilization is constructed considering the coupling between cold/hot ring network and power radiation network. By taking the uncertainties in load demand and renewable energy into account,a collaborative optimization model of a multi-energy regional distributed system with CCHP is put forward. The objective is to minimize the sum of the cost of natural gas purchase,cost of electricity purchase,cost of carbon emissions,and the unbalanced settlement cost of interactive power. The decision variables include the input quantity of natural gas,and electric quantities purchased by users and fed back by them. An IEEE 15-bus system is adopted as an example,and the influences of independent and interconnected systems on the peak-regulation of power distribution system,as well as the influence of unbalanced price coefficient on the operation cost of the system,are analyzed in detail. Numerical results verify that the distributed system with CCHP has good economic and environmental benefits,peak-regulation effect and operation reliability.
引文
[1]刘振亚.全球能源互联网[M].北京:中国电力出版社,2015.
[2]杨鑫,杨洪朝,张党强(Yang Xin,Yang Hongzhao,Zhang Dangqiang).考虑可再生能源的冷热电联供系统环境经济调度模型(Environmental economic dispatch model combined cooling heating and power system considering renewable energy)[J].电力科学与技术学报(Journal of Electric Power Science and Technology),2014,29(3):87-92.
[3]Ebrahimi M,Keshavarz A,Jamali A.Energy and exergy analyses of a micro-steam CCHP cycle for a residential building[J].Energy and Buildings,2012,45:202-210.
[4]Li Longxi,Mu Hailin,Gao Weijun,et al.Optimization and analysis of CCHP system based on energy loads coupling of residential and office buildings[J].Applied Energy,2014,136(31):206-216.
[5]Syed F,Fowler M,Wan D,et al.An energy demand model for a fleet of plug-in fuel cell vehicles and commercial building interfaced with a clean energy hub[J].International Journal of Hydrogen Energy,2010,35(10):5154-5163.
[6]Zhao Liang,Dong Hui,Tang Jiajun,et al.Cold energy utilization of liquefied natural gas for capturing carbon dioxide in the flue gas from the magnesite processing industry[J].Energy,2016,105:45-56.
[7]Zhang Guoqiang,Zheng Jiongzhi,Yang Yongping,et al.Anovel LNG cryogenic energy utilization method for inlet air cooling to improve the performance of combined cycle[J].Applied Energy,2016,179:638-649.
[8]孔祥强,王如竹,李瑛,等(Kong Xiangqiang,Wang Ruzhu,Li Ying,et al).微型冷热电联供系统的优化运行(Optimal operation of micro-combined cooling,heating and power system)[J].上海交通大学学报(Journal of Shanghai Jiaotong University),2008,42(3):365-369.
[9]杜妍,裴玮,葛贤军,等.(Du Yan,Pei Wei,Ge Xianjun,et al).综合能源微网系统的滚动优化经济调度(Rolling optimization of economic dispatching for multi-energy micro-grid system)[J].电力系统及其自动化学报(Proceedings of the CSU-EPSA),2017,29(11):20-25.
[10]魏兵,王志伟,蒋露,等(Wei Bing,Wang Zhiwei,Jiang Lu,et al).微型燃气轮机冷热电联供系统的优化运行研究(Research of optimal operation on micro-turbine CCHP systems)[J].华北电力大学学报(Journal of North China Electric Power University),2007,34(2):138-144.
[11]周任军,康信文,李绍金,等(Zhou Renjun,Kang Xinwen,Li Shaojin,et al).冷热电联供系统能量流函数及运行策略(Energy flow function and operational strategy of CCHP system)[J].电力自动化设备(Electric Power Automation Equipment),2014,34(1):1-5.
[12]熊焰,吴杰康,王强,等(Xiong Yan,Wu Jiekang,Wang Qiang,et al).风光气储互补发电的冷热电联供优化协调模型及求解方法(An optimization coordination model and solution for combined cooling,heating and electric power systems with complimentary generation of wind,PV,gas and energy storage)[J].中国电机工程学报(Proceedings of the CSEE),2015,35(14):3616-3625.
[13]Powell K M,Sriprasad A,Cole W J,et al.Heating,cooling,and electrical load forecasting for a large-scale district energy system[J].Energy,2014,74:877-885.
[14]Yang Hongming,Xiong Tonglin,Qiu Jing,et al.Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response[J].Applied Energy,2016,167:353-365.
[15]国家发展改革委,国家能源局.关于改善电力运行调节促进清洁能源多发满发的指导意见[EB/OL].http://www.fdi.gov.cn/1800000121_23_72168_0_7.html,2015.
[16]Sheikhi A,Ranjbar A M,Safe F,et al.CHP optimized selection methodology for an energy hub system[C]//10th International Conference on Environment and Electrical Engineering.Rome,Italy,2011.
[17]Kadri A A,Kacem I,Labadi K.A branch-and-bound algorithm for solving the static rebalancing problem in bicyclesharing systems[J].Computers&Industrial Engineering,2016,95:41-52.
[2]杨鑫,杨洪朝,张党强(Yang Xin,Yang Hongzhao,Zhang Dangqiang).考虑可再生能源的冷热电联供系统环境经济调度模型(Environmental economic dispatch model combined cooling heating and power system considering renewable energy)[J].电力科学与技术学报(Journal of Electric Power Science and Technology),2014,29(3):87-92.
[3]Ebrahimi M,Keshavarz A,Jamali A.Energy and exergy analyses of a micro-steam CCHP cycle for a residential building[J].Energy and Buildings,2012,45:202-210.
[4]Li Longxi,Mu Hailin,Gao Weijun,et al.Optimization and analysis of CCHP system based on energy loads coupling of residential and office buildings[J].Applied Energy,2014,136(31):206-216.
[5]Syed F,Fowler M,Wan D,et al.An energy demand model for a fleet of plug-in fuel cell vehicles and commercial building interfaced with a clean energy hub[J].International Journal of Hydrogen Energy,2010,35(10):5154-5163.
[6]Zhao Liang,Dong Hui,Tang Jiajun,et al.Cold energy utilization of liquefied natural gas for capturing carbon dioxide in the flue gas from the magnesite processing industry[J].Energy,2016,105:45-56.
[7]Zhang Guoqiang,Zheng Jiongzhi,Yang Yongping,et al.Anovel LNG cryogenic energy utilization method for inlet air cooling to improve the performance of combined cycle[J].Applied Energy,2016,179:638-649.
[8]孔祥强,王如竹,李瑛,等(Kong Xiangqiang,Wang Ruzhu,Li Ying,et al).微型冷热电联供系统的优化运行(Optimal operation of micro-combined cooling,heating and power system)[J].上海交通大学学报(Journal of Shanghai Jiaotong University),2008,42(3):365-369.
[9]杜妍,裴玮,葛贤军,等.(Du Yan,Pei Wei,Ge Xianjun,et al).综合能源微网系统的滚动优化经济调度(Rolling optimization of economic dispatching for multi-energy micro-grid system)[J].电力系统及其自动化学报(Proceedings of the CSU-EPSA),2017,29(11):20-25.
[10]魏兵,王志伟,蒋露,等(Wei Bing,Wang Zhiwei,Jiang Lu,et al).微型燃气轮机冷热电联供系统的优化运行研究(Research of optimal operation on micro-turbine CCHP systems)[J].华北电力大学学报(Journal of North China Electric Power University),2007,34(2):138-144.
[11]周任军,康信文,李绍金,等(Zhou Renjun,Kang Xinwen,Li Shaojin,et al).冷热电联供系统能量流函数及运行策略(Energy flow function and operational strategy of CCHP system)[J].电力自动化设备(Electric Power Automation Equipment),2014,34(1):1-5.
[12]熊焰,吴杰康,王强,等(Xiong Yan,Wu Jiekang,Wang Qiang,et al).风光气储互补发电的冷热电联供优化协调模型及求解方法(An optimization coordination model and solution for combined cooling,heating and electric power systems with complimentary generation of wind,PV,gas and energy storage)[J].中国电机工程学报(Proceedings of the CSEE),2015,35(14):3616-3625.
[13]Powell K M,Sriprasad A,Cole W J,et al.Heating,cooling,and electrical load forecasting for a large-scale district energy system[J].Energy,2014,74:877-885.
[14]Yang Hongming,Xiong Tonglin,Qiu Jing,et al.Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response[J].Applied Energy,2016,167:353-365.
[15]国家发展改革委,国家能源局.关于改善电力运行调节促进清洁能源多发满发的指导意见[EB/OL].http://www.fdi.gov.cn/1800000121_23_72168_0_7.html,2015.
[16]Sheikhi A,Ranjbar A M,Safe F,et al.CHP optimized selection methodology for an energy hub system[C]//10th International Conference on Environment and Electrical Engineering.Rome,Italy,2011.
[17]Kadri A A,Kacem I,Labadi K.A branch-and-bound algorithm for solving the static rebalancing problem in bicyclesharing systems[J].Computers&Industrial Engineering,2016,95:41-52.