工业用户配置储能系统的经济收益分析
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摘要
针对工业用户配置储能系统以降低基本电费和增加低储高发收益的需求,考虑工业用户年度负荷数据,提出了储能系统可实现的削峰能力判据,并提出了削峰后峰值负荷的迭代求解方法。然后按照负荷峰谷类型和电价峰谷时段划分了充放电模式,在此基础上提出了基于回溯方法的充放电策略计算方法,实现了考虑负荷特性的储能收益分析。算例验证表明负荷特性对储能收益的影响非常显著,根据历史数据进行年度充放电策略的详细计算,能够给工业用户储能系统配置提供准确的经济收益辅助数据,确保储能系统配置的合理性和经济性。
Considering the demand of reducing the basic electricity cost and increasing the income of electricity sale by industrial user with energy storage system,this paper proposes the criterion of peak load shifting capability by energy storage system and the iterative method for calculating peak load after peak clipping,based on the historical annual load data of industrial user. Then according to the charging and discharging modes classified based on load characteristic and the electricity price period,the charging and discharging strategies with backtracking method are developed,and the energy storage benefit analysis considering load characteristics is realized. The case verification shows that the monthly income is significantly affected by the industrial load characteristics. The detailed calculation of the annual charge and discharge strategy based on historical data can provide accurate assistance data of economic benefit for industrial users' energy storage system configuration,ensuring the validity and economy of storage system investment.
Considering the demand of reducing the basic electricity cost and increasing the income of electricity sale by industrial user with energy storage system,this paper proposes the criterion of peak load shifting capability by energy storage system and the iterative method for calculating peak load after peak clipping,based on the historical annual load data of industrial user. Then according to the charging and discharging modes classified based on load characteristic and the electricity price period,the charging and discharging strategies with backtracking method are developed,and the energy storage benefit analysis considering load characteristics is realized. The case verification shows that the monthly income is significantly affected by the industrial load characteristics. The detailed calculation of the annual charge and discharge strategy based on historical data can provide accurate assistance data of economic benefit for industrial users' energy storage system configuration,ensuring the validity and economy of storage system investment.
引文
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[16]李姚旺,苗世洪,刘君瑶,等.考虑需求响应不确定性的光伏微电网储能系统优化配置[J].电力系统保护与控制,2018,46(20):69-77.LI Yaowang,MIAO Shihong,LIU Junyao,et al.Optimal allocation of energy storage system in PV micro grid considering uncertainty of demand response[J].Power System Protection and Control,2018,46(20):69-77.
[17]郑梦莲,胡亚才.基于储能的家庭需求响应策略和经济性分析[J].上海节能,2016(5):256-260.ZHENG Menglian,HU Yacai.Study on family demand response strategy and economic analysis based on energy storage[J].Shanghai Energy Conservation,2016(5):256-260.
[18]高琳,王志新,邹建龙,等.基于分布式光伏电站和储能系统的家庭能效管理策略研究[J].电力需求侧管理,2017,19(2):20-24.GAO Lin,WANG Zhixin,ZOU Jianlong,et al.Research on home energy efficiency management strategy based on distributed photovoltaic power station and energy storage system[J].Power Demand Side Management,2017,19(2):20-24.
[19]厉伟,颜宁,张博,等.基于情景分析法风电场中储能系统经济调度[J].电工电能新技术,2018,37(2):47-52.LI Wei,YAN Ning,ZHANG Bo,et al.Economic dispatch of energy storage system in wind farm based on scenario analysis method[J].Advanced Technology of Electrical Engineering and Energy,2018,37(2):47-52.
[20]马伟,王玮,吴学智,等.光储协调互补平抑功率波动策略及经济性分析[J].电网技术,2018,42(3):730-737.MA Wei,WANG Wei,WU Xuezhi,et al.Coordinated control strategy of photovoltaics and energy storage for smoothing power fluctuations of photovoltaics and economic analysis[J].Power System Technology,2018,42(3):730-737.
[21]杨昌儒,林仕立,宋文吉,等.复合储能对提升太阳能利用率的仿真研究[J].电网与清洁能源,2018,34(11):52-58.YANG Changru,LIN Shili,SONG Wenji,et al.Simulation study in the promotion of solar energy utilization by multi-energy storage[J].Power System and Clean Energy,2018,34(11):52-58.
[22]赵晋斌,蒋伟明,孟伟,等.直流微电网中混合储能系统的动态均流控制策略[J].供用电,2018,35(9):16-21.ZHAO Jinbin,JIANG Weiming,MENG Wei,et al.Dynamic power sharing control strategy for hybrid energy storage system in DCmicrogrid[J].Distribution&Utilization,2018,35(9):16-21.
[23]师长立,韦统振,霍群海,等.适用于直流分布式储能系统的控制策略[J].储能科学与技术,2019,8(4):654-658.SHI Changli,WEI Tongzhen,HUO Qunhai,et al.A control strategy for the distributed energy storage system for a DC distribution power network[J].Energy Storage Science and Technology,2019,8(4):654-658.
[24]徐培栋,陈丽,薛皓,等.两部制电价激励下的家庭储能优化配置及经济性分析[J].中国科技论文,2018,13(11):1285-1290.XU Peidong,CHEN Li,XUE Hao,et al.Optimal allocation and economic analysis of household energy storage under the incentive of two unit tariff[J].China Sciencepaper,2018,13(11):1285-1290.
[25]邓明,孙春顺,张媛,等.用户侧分布式储能经济补偿方法的研究[J].供用电,2015,32(1):68-72.
[26]李德智,田世明,王伟福,等.分布式储能的商业模式研究和经济性分析[J].供用电,2019,36(4):86-91.LI Dezhi,TIAN Shiming,WANG Weifu,et al.Business model research and economic analysis of distributed energy storage[J].Distribution&Utilization,2019,36(4):86-91.
[2]宁艺飞,陈星莺,颜庆国,等.分时电价下大用户概率响应建模研究[J].电力需求侧管理,2017,19(1):22-28.NING Yifei,CHEN Xingying,YAN Qingguo,et al.Research on modeling of large users probability response based on TOU price[J].Power Demand Side Management,2017,19(1):22-28.
[3]严干贵,冯晓东,李军徽,等.用于松弛调峰瓶颈的储能系统容量配置方法[J].中国电机工程学报,2012,32(28):27-35,22.YAN Gangui,FENG Xiaodong,LI Junhui,et al.Optimization of energy storage system capacity for relaxing peak load regulation bottlenecks[J].Proceedings of the CSEE,2012,32(28):27-35,22.
[4]中华人民共和国国家发展和改革委员会.关于完善两部制电价用户基本电价执行方式的通知[R].2016.
[5]BOICEA V A.Energy storage technologies:the past and the present[J].Proceedings of the IEEE,2014,102(11):1777-1794.
[6]GOEBEL C,CALLAWAY D S,JACOBSEN H A.The impact of state of charge management when providing regulation power with energy storage[J].IEEE Transactions on Power Systems,2014,29(3):1433-1434.
[7]陈满,陆志刚,刘怡,等.电池储能系统恒功率削峰填谷优化策略研究[J].电网技术,2012,36(9):232-237.CHEN Man,LU Zhigang,LIU Yi,et al.Research on optimal peak load shifting strategy of battery energy storage system operated in constant power mode[J].Power System Technology,2012,36(9):232-237.
[8]刘波,何珉,谭丹.考虑电动汽车的主动配电网储能优化配置[J].电测与仪表,2018,55(6):47-51.LIU Bo,HE Min,TAN Dan.Optimal allocation of energy storage in active distribution network considering electric vehicle[J].Electrical Measurement&Instrumentation,2018,55(6):47-51.
[9]吴峰,黄绮彦,史林军,等.考虑优化充放电策略的分布式储能容量配置方法[J].供用电,2019,36(5):85-92.WU Feng,HUANG Qiyan,SHI Linjun,et al.Distributed energy storage system capacity configuration considering optimized charging and discharging strategy[J].Distribution&Utilization,2019,36(5):85-92.
[10]陈科彬,邱晓燕,史光耀,等.基于滑动平均与小波包分解的混合储能容量优化[J].电测与仪表,2018,55(7):62-65.CHEN Kebin,QIU Xiaoyan,SHI Guangyao,et al.Optimization of hybrid energy storage capacity based on moving average and wavelet packet decomposition[J].Electrical Measurement&Instrumentation,2018,55(7):62-65.
[11]张静炜,朱想,赫卫国,等.考虑光伏发电和储能系统调压能力的配电网储能容量优化配置[J].广东电力,2018,31(7):30-35.ZHANG Jingwei,ZHU Xiang,HE Weiguo,et al.Optimized configuration for ESS capacity of distribution network considering voltage regulation ability of photovoltaic generation and ESS[J].Guangdong Electric Power,2018,31(7):30-35.
[12]方磊,牛玉刚,王思明,等.基于日前调度与实时控制的微网储能系统容量配置[J].电力系统保护与控制,2018,46(23):102-110.FANG Lei,NIU Yugang,WANG Siming,et al.Optimal capacity determination method based on day-ahead scheduling and real-time control[J].Power System Protection and Control,2018,46(23):102-110.
[13]李秀磊,耿光飞,季玉琦,等.考虑实际运行的配电网电池储能系统的优化配置研究[J].电力系统保护与控制,2017,45(9):88-94.LI Xiulei,GENG Guangfei,JI Yuqi,et al.Study on optimal allocation of battery energy storage in distribution network considering the actual operation[J].Power System Protection and Control,2017,45(9):88-94.
[14]文凌锋,党广宇,田伟,等.基于多时间尺度风储协同的微电网能量管理策略研究[J].电力工程技术,2018,37(3):123-128.WEN Lingfeng,DANG Guangyu,TIAN Wei,et al.Research on micro-grid energy management system based on multi-time scale[J].Electric Power Engineering Technology,2018,37(3):123-128.
[15]刘洪,李吉峰,葛少云,等.多元储能系统运行策略对综合能源微网可靠性影响评估[J].电力系统自动化,2019,43(10):36-45.LIU Hong,LI Jifeng,GE Shaoyun,et al.Impact evaluation of operation strategies of multiple energy storage systems on reliability of multi-energy microgrid[J].Automation of Electric Power Systems,2019,43(10):36-45.
[16]李姚旺,苗世洪,刘君瑶,等.考虑需求响应不确定性的光伏微电网储能系统优化配置[J].电力系统保护与控制,2018,46(20):69-77.LI Yaowang,MIAO Shihong,LIU Junyao,et al.Optimal allocation of energy storage system in PV micro grid considering uncertainty of demand response[J].Power System Protection and Control,2018,46(20):69-77.
[17]郑梦莲,胡亚才.基于储能的家庭需求响应策略和经济性分析[J].上海节能,2016(5):256-260.ZHENG Menglian,HU Yacai.Study on family demand response strategy and economic analysis based on energy storage[J].Shanghai Energy Conservation,2016(5):256-260.
[18]高琳,王志新,邹建龙,等.基于分布式光伏电站和储能系统的家庭能效管理策略研究[J].电力需求侧管理,2017,19(2):20-24.GAO Lin,WANG Zhixin,ZOU Jianlong,et al.Research on home energy efficiency management strategy based on distributed photovoltaic power station and energy storage system[J].Power Demand Side Management,2017,19(2):20-24.
[19]厉伟,颜宁,张博,等.基于情景分析法风电场中储能系统经济调度[J].电工电能新技术,2018,37(2):47-52.LI Wei,YAN Ning,ZHANG Bo,et al.Economic dispatch of energy storage system in wind farm based on scenario analysis method[J].Advanced Technology of Electrical Engineering and Energy,2018,37(2):47-52.
[20]马伟,王玮,吴学智,等.光储协调互补平抑功率波动策略及经济性分析[J].电网技术,2018,42(3):730-737.MA Wei,WANG Wei,WU Xuezhi,et al.Coordinated control strategy of photovoltaics and energy storage for smoothing power fluctuations of photovoltaics and economic analysis[J].Power System Technology,2018,42(3):730-737.
[21]杨昌儒,林仕立,宋文吉,等.复合储能对提升太阳能利用率的仿真研究[J].电网与清洁能源,2018,34(11):52-58.YANG Changru,LIN Shili,SONG Wenji,et al.Simulation study in the promotion of solar energy utilization by multi-energy storage[J].Power System and Clean Energy,2018,34(11):52-58.
[22]赵晋斌,蒋伟明,孟伟,等.直流微电网中混合储能系统的动态均流控制策略[J].供用电,2018,35(9):16-21.ZHAO Jinbin,JIANG Weiming,MENG Wei,et al.Dynamic power sharing control strategy for hybrid energy storage system in DCmicrogrid[J].Distribution&Utilization,2018,35(9):16-21.
[23]师长立,韦统振,霍群海,等.适用于直流分布式储能系统的控制策略[J].储能科学与技术,2019,8(4):654-658.SHI Changli,WEI Tongzhen,HUO Qunhai,et al.A control strategy for the distributed energy storage system for a DC distribution power network[J].Energy Storage Science and Technology,2019,8(4):654-658.
[24]徐培栋,陈丽,薛皓,等.两部制电价激励下的家庭储能优化配置及经济性分析[J].中国科技论文,2018,13(11):1285-1290.XU Peidong,CHEN Li,XUE Hao,et al.Optimal allocation and economic analysis of household energy storage under the incentive of two unit tariff[J].China Sciencepaper,2018,13(11):1285-1290.
[25]邓明,孙春顺,张媛,等.用户侧分布式储能经济补偿方法的研究[J].供用电,2015,32(1):68-72.
[26]李德智,田世明,王伟福,等.分布式储能的商业模式研究和经济性分析[J].供用电,2019,36(4):86-91.LI Dezhi,TIAN Shiming,WANG Weifu,et al.Business model research and economic analysis of distributed energy storage[J].Distribution&Utilization,2019,36(4):86-91.