考虑储能电站服务的冷热电多微网系统优化经济调度
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摘要
提出一种考虑储能电站服务的冷热电多微网系统日前优化调度方法。首先提出在多微网系统建立公共储能电站,并给出用户侧储能电站服务模式;然后将储能电站服务应用到冷热电联供型多微网系统优化调度,通过协调微网与储能电站间的交互功率,实现微网内冷热电负荷功率平衡和运行经济成本最优;最后以典型场景为例,对冷热电联供型多微网系统在3种运行方式下进行经济优化调度分析。结果表明,所提冷热电多微网系统优化调度方法可以充分发挥公用储能电站的充放电灵活性,实现微网多余电能的时域转移和可再生能源发电的100%消纳,并降低多微网系统的运行成本。
A day-ahead optimal scheduling method for combined cooling heating and power(CCHP) multi-microgrid system considering energy storage station service is proposed. Firstly, the public energy storage station is built in the multi-microgrid system, and the service mode for the energy storage station on the user side is proposed. Then, the energy storage station service is applied to the optimal economic schedule of CCHP multi-microgrid system. The power balance and operation cost of the cooling load, heating load and power load in microgrids are optimized by coordinating the interactive power between energy storage station and microgrids. Finally, three operation modes of CCHP multi-microgrid system under the typical scenarios are carried out to analyze the optimal economic scheduling. Numerical studies demonstrate that the proposed optimal scheduling method can effectively improve the operation flexibility of the public energy storage station, realize time-domain transfer of the excess energy of microgrids and consume the renewable energy generation by 100%, while reduce the operation costs of CCHP multi-microgrid system.
A day-ahead optimal scheduling method for combined cooling heating and power(CCHP) multi-microgrid system considering energy storage station service is proposed. Firstly, the public energy storage station is built in the multi-microgrid system, and the service mode for the energy storage station on the user side is proposed. Then, the energy storage station service is applied to the optimal economic schedule of CCHP multi-microgrid system. The power balance and operation cost of the cooling load, heating load and power load in microgrids are optimized by coordinating the interactive power between energy storage station and microgrids. Finally, three operation modes of CCHP multi-microgrid system under the typical scenarios are carried out to analyze the optimal economic scheduling. Numerical studies demonstrate that the proposed optimal scheduling method can effectively improve the operation flexibility of the public energy storage station, realize time-domain transfer of the excess energy of microgrids and consume the renewable energy generation by 100%, while reduce the operation costs of CCHP multi-microgrid system.
引文
[1] 崔林,唐沂媛.冷热电联供型微电网优化运行及敏感性分析[J].电力工程技术,2017,36(6):138-143.CUI Lin,TANG Yiyuan.Optimal operation and sensitivity analysis of the combined cooling,heating and power microgrid[J].Electric Power Engineering Technology,2017,36(6):138-143.
[2] LI Yajun,HU Rentian.Exergy-analysis based comparative study of absorption refrigeration and electric compression refrigeration in CCHP systems[J].Applied Thermal Engineering,2016,93:1228-1237.
[3] 田培根,肖曦,丁若星,等.自治型微电网群多元复合储能系统容量配置方法[J].电力系统自动化,2013,37(1):168-173.TIAN Peigen,XIAO Xi,DING Ruoxing,et al.A capacity configuring method of composite energy storage system in autonomous multi-microgrid[J].Automation of Electric Power Systems,2013,37(1):168-173.
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[6] 王成山,洪博文,郭力,等.冷热电联供微网优化调度通用建模方法[J].中国电机工程学报,2013,33(31):26-33.WANG Chengshan,HONG Bowen,GUO Li,et al.A general modeling method for optimal dispatch of combined cooling,heating and power microgrid[J].Proceedings of the CSEE,2013,33(31):26-33.
[7] 林凯骏,吴俊勇,郝亮亮,等.基于非合作博弈的冷热电联供微能源网运行策略优化[J].电力系统自动化,2018,42(6):25-32.DOI:10.7500/AEPS20170714006.LIN Kaijun,WU Junyong,HAO Liangliang,et al.Optimization of operation strategy for micro-energy grid with CCHP systems based on non-cooperative game[J].Automation of Electric Power Systems,2018,42(6):25-32.DOI:10.7500/AEPS20170714006.
[8] GU Wei,WANG Zhihe,WU Zhi,et al.An online optimal dispatch schedule for CCHP microgrids based on model predictive control[J].IEEE Transactions on Smart Grid,2017,8(5):2332-2342.
[9] GUO Li,LIU Wenjian,CAI Jiejin,et al.A two-stage optimal planning and design method for combined cooling,heat and power microgrid system[J].Energy Conversion and Management,2013,74(10):433-445.
[10] 徐青山,李淋,盛业宏,等.冷热电联供型多微网主动配电系统日前优化经济调度[J].电网技术,2018,42(6):1726-1734.XU Qingshan,LI Lin,SHENG Yehong,et al.Day-ahead optimized economic dispatch of active distribution power system with combined cooling,heating and power-based microgrids[J].Power System Technology,2018,42(6):1726-1734.
[11] 徐青山,李淋,蔡霁霖,等.考虑电能交互的冷热电多微网系统日前优化经济调度[J].电力系统自动化,2018,42(21):36-44.DOI:10.7500/AEPS20180417006.XU Qingshan,LI Lin,CAI Jilin,et al.Day-ahead optimized economic dispatch of CCHP multi-microgrid system considering power interaction among microgrids[J].Automation of Electric Power Systems,2018,42(21):36-44.DOI:10.7500/AEPS20180417006.
[12] 吴福保,刘晓峰,孙谊媊,等.基于冷热电联供的多园区博弈优化策略[J].电力系统自动化,2018,42(13):68-75.DOI:10.7500/AEPS20170914005.WU Fubao,LIU Xiaofeng,SUN Yiqian,et al.Game optimization strategy for multiple parks based on combined cooling heating and power[J].Automation of Electric Power systems,2018,42(13):68-75.DOI:10.7500/AEPS20170914005.
[13] 张国玉,洪超,陈杜琳,等.面向储能电站调度的光储发电系统运行优化策略研究[J].电力工程技术,2017,36(3):50-56.ZHANG Guoyu,HONG Chao,CHEN Dulin,et al.Operation optimization of photovoltaic-energy storage hybrid system based on scheduling of battery energy storage system[J].Electric Power Engineering Technology,2017,36(3):50-56.
[14] 康重庆,刘静琨,张宁.未来电力系统储能的新形态:云储能[J].电力系统自动化,2017,41(21):2-8.DOI:10.7500/AEPS20170601011.KANG Chongqing,LIU Jingkun,ZHANG Ning.A new form of energy storage in future power system:cloud energy storage[J].Automation of Electric Power Systems,2017,41(21):2-8.DOI:10.7500/AEPS20170601011.
[15] LIU Jingkun,ZHANG Ning,KANG Chongqing,et al.Cloud energy storage for residential and small commercial consumers:a business case study[J].Applied Energy,2017,188:226-236.
[16] 刘静琨,张宁,康重庆.电力系统云储能研究框架与基础模型[J].中国电机工程学报,2017,37(12):3361-3371.LIU Jingkun,ZHANG Ning,KANG Chongqing.Research framework and basic models for cloud energy storage in power system[J].Proceedings of the CSEE,2017,37(12):3361-3371.
[17] 刘涤尘,马恒瑞,王波,等.含冷热电联供及储能的区域综合能源系统运行优化[J].电力系统自动化,2018,42(4):113-120.DOI:10.7500/AEPS20170512002.LIU Dichen,MA Hengrui,WANG Bo,et al.Operation optimization of regional integrated energy system with CCHP and energy storage system[J].Automation of Electric Power Systems,2018,42(4):113-120.DOI:10.7500/AEPS20170512002.
[18] 靳小龙,穆云飞,贾宏杰,等.融合需求侧虚拟储能系统的冷热电联供楼宇微网优化调度方法[J].中国电机工程学报,2017,37(2):581-591.JIN Xiaolong,MU Yunfei,JIA Hongjie,et al.Optimal scheduling method for a combined cooling,heating and power building microgrid considering virtual storage system at demand side[J].Proceedings of the CSEE,2017,37(2):581-591.
[19] 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.
[20] ZHANG Ning,KANG Chongqing,XIA Qing,et al.A convex model of risk-based unit commitment for day-ahead market clearing considering wind power uncertainty[J].IEEE Transactions on Power Systems,2015,30(3):1582-1592.
[21] 江润洲,邱晓燕,李丹,等.含储能系统的多微网智能配电系统经济运行[J].电网技术,2013,37(12):3596-3602.JIANG Runzhou,QIU Xiaoyan,LI Dan,et al.Economic operation of smart distribution network containing multi microgrids and energy storage system[J].Power System Technology,2013,37(12):3596-3602.
[22] 吕天光,艾芊,孙树敏,等.含多微网的主动配电系统综合优化运行行为分析与建模[J].中国电机工程学报,2016,36(1):122-132.Lü Tianguang,AI Qian,SUN Shumin,et al.Behavioural analysis and optimal operation of active distribution system with multi-microgrids[J].Proceedings of the CSEE,2016,36(1):122-132.
[2] LI Yajun,HU Rentian.Exergy-analysis based comparative study of absorption refrigeration and electric compression refrigeration in CCHP systems[J].Applied Thermal Engineering,2016,93:1228-1237.
[3] 田培根,肖曦,丁若星,等.自治型微电网群多元复合储能系统容量配置方法[J].电力系统自动化,2013,37(1):168-173.TIAN Peigen,XIAO Xi,DING Ruoxing,et al.A capacity configuring method of composite energy storage system in autonomous multi-microgrid[J].Automation of Electric Power Systems,2013,37(1):168-173.
[4] EDDY Y,GOOI H B,CHEN S X.Multi-agent system for distributed management of microgrids[J].IEEE Transactions on Power Systems,2015,30(1):24-34.
[5] NIKMEHR N,RAVADANEGH S N.Optimal power dispatch of multi-microgrids at future smart distribution grids[J].IEEE Transactions on Smart Grid,2015,6(4):1648-1657.
[6] 王成山,洪博文,郭力,等.冷热电联供微网优化调度通用建模方法[J].中国电机工程学报,2013,33(31):26-33.WANG Chengshan,HONG Bowen,GUO Li,et al.A general modeling method for optimal dispatch of combined cooling,heating and power microgrid[J].Proceedings of the CSEE,2013,33(31):26-33.
[7] 林凯骏,吴俊勇,郝亮亮,等.基于非合作博弈的冷热电联供微能源网运行策略优化[J].电力系统自动化,2018,42(6):25-32.DOI:10.7500/AEPS20170714006.LIN Kaijun,WU Junyong,HAO Liangliang,et al.Optimization of operation strategy for micro-energy grid with CCHP systems based on non-cooperative game[J].Automation of Electric Power Systems,2018,42(6):25-32.DOI:10.7500/AEPS20170714006.
[8] GU Wei,WANG Zhihe,WU Zhi,et al.An online optimal dispatch schedule for CCHP microgrids based on model predictive control[J].IEEE Transactions on Smart Grid,2017,8(5):2332-2342.
[9] GUO Li,LIU Wenjian,CAI Jiejin,et al.A two-stage optimal planning and design method for combined cooling,heat and power microgrid system[J].Energy Conversion and Management,2013,74(10):433-445.
[10] 徐青山,李淋,盛业宏,等.冷热电联供型多微网主动配电系统日前优化经济调度[J].电网技术,2018,42(6):1726-1734.XU Qingshan,LI Lin,SHENG Yehong,et al.Day-ahead optimized economic dispatch of active distribution power system with combined cooling,heating and power-based microgrids[J].Power System Technology,2018,42(6):1726-1734.
[11] 徐青山,李淋,蔡霁霖,等.考虑电能交互的冷热电多微网系统日前优化经济调度[J].电力系统自动化,2018,42(21):36-44.DOI:10.7500/AEPS20180417006.XU Qingshan,LI Lin,CAI Jilin,et al.Day-ahead optimized economic dispatch of CCHP multi-microgrid system considering power interaction among microgrids[J].Automation of Electric Power Systems,2018,42(21):36-44.DOI:10.7500/AEPS20180417006.
[12] 吴福保,刘晓峰,孙谊媊,等.基于冷热电联供的多园区博弈优化策略[J].电力系统自动化,2018,42(13):68-75.DOI:10.7500/AEPS20170914005.WU Fubao,LIU Xiaofeng,SUN Yiqian,et al.Game optimization strategy for multiple parks based on combined cooling heating and power[J].Automation of Electric Power systems,2018,42(13):68-75.DOI:10.7500/AEPS20170914005.
[13] 张国玉,洪超,陈杜琳,等.面向储能电站调度的光储发电系统运行优化策略研究[J].电力工程技术,2017,36(3):50-56.ZHANG Guoyu,HONG Chao,CHEN Dulin,et al.Operation optimization of photovoltaic-energy storage hybrid system based on scheduling of battery energy storage system[J].Electric Power Engineering Technology,2017,36(3):50-56.
[14] 康重庆,刘静琨,张宁.未来电力系统储能的新形态:云储能[J].电力系统自动化,2017,41(21):2-8.DOI:10.7500/AEPS20170601011.KANG Chongqing,LIU Jingkun,ZHANG Ning.A new form of energy storage in future power system:cloud energy storage[J].Automation of Electric Power Systems,2017,41(21):2-8.DOI:10.7500/AEPS20170601011.
[15] LIU Jingkun,ZHANG Ning,KANG Chongqing,et al.Cloud energy storage for residential and small commercial consumers:a business case study[J].Applied Energy,2017,188:226-236.
[16] 刘静琨,张宁,康重庆.电力系统云储能研究框架与基础模型[J].中国电机工程学报,2017,37(12):3361-3371.LIU Jingkun,ZHANG Ning,KANG Chongqing.Research framework and basic models for cloud energy storage in power system[J].Proceedings of the CSEE,2017,37(12):3361-3371.
[17] 刘涤尘,马恒瑞,王波,等.含冷热电联供及储能的区域综合能源系统运行优化[J].电力系统自动化,2018,42(4):113-120.DOI:10.7500/AEPS20170512002.LIU Dichen,MA Hengrui,WANG Bo,et al.Operation optimization of regional integrated energy system with CCHP and energy storage system[J].Automation of Electric Power Systems,2018,42(4):113-120.DOI:10.7500/AEPS20170512002.
[18] 靳小龙,穆云飞,贾宏杰,等.融合需求侧虚拟储能系统的冷热电联供楼宇微网优化调度方法[J].中国电机工程学报,2017,37(2):581-591.JIN Xiaolong,MU Yunfei,JIA Hongjie,et al.Optimal scheduling method for a combined cooling,heating and power building microgrid considering virtual storage system at demand side[J].Proceedings of the CSEE,2017,37(2):581-591.
[19] 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.
[20] ZHANG Ning,KANG Chongqing,XIA Qing,et al.A convex model of risk-based unit commitment for day-ahead market clearing considering wind power uncertainty[J].IEEE Transactions on Power Systems,2015,30(3):1582-1592.
[21] 江润洲,邱晓燕,李丹,等.含储能系统的多微网智能配电系统经济运行[J].电网技术,2013,37(12):3596-3602.JIANG Runzhou,QIU Xiaoyan,LI Dan,et al.Economic operation of smart distribution network containing multi microgrids and energy storage system[J].Power System Technology,2013,37(12):3596-3602.
[22] 吕天光,艾芊,孙树敏,等.含多微网的主动配电系统综合优化运行行为分析与建模[J].中国电机工程学报,2016,36(1):122-132.Lü Tianguang,AI Qian,SUN Shumin,et al.Behavioural analysis and optimal operation of active distribution system with multi-microgrids[J].Proceedings of the CSEE,2016,36(1):122-132.
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