分布式光伏/储能系统多运行模式协调控制策略
|
摘要
针对储能电站在现有配置下运行模式单一且不能充分发挥储能作用的问题,该文提出一种混合储能系统在平抑功率波动和峰谷电价套利2种模式下协调运行控制策略。平抑功率波动模式中,利用小波包分解对储能系统内部功率进行一次分配,并结合储能装置的荷电状态信息对一次功率进行修正,实现功率二次分配。峰谷电价套利模式中,依据分时电价和荷电状态信息确定储能系统充放电起止时刻,根据负荷实际大小确定其充放电功率实现用电负荷的经济运行。根据光伏实时波动情况,结合储能装置荷电状态信息,设计了2种运行模式的协调运行策略,实现源/网/荷/储能量的合理管理。在Matlab中搭建仿真模型验证了所提控制策略的准确性和实用性,并将控制策略应用到工程现场。
Aiming at the problem that the energy storage station has a single operation mode under the existing configuration and cannot fully utilize the energy storage function, this paper presented a novel control strategy which combines smoothing photovoltaic fluctuation mode and peak-valley electricity price arbitrage mode. For the mode of smoothing photovoltaic fluctuation, the internal power of the energy storage system is initially allocated by wavelet packet decomposition, and then combined with the state of charge of the energy storage device, the primary power is adjusted to realize power redistribution. For the mode of peak-valley electricity price arbitrage, according to the time-of-use price and state of battery charge information, the charging and discharging start and stop time of the energy storage system is determined, and then the charging and discharging power is determined according to the actual size of the load to realize the economic operation of the power load. According to the real-time fluctuation of PV, combined with the state of charge of the energy storage device, a coordinated operation strategy of two operating modes was designed to realize the reasonable management of source/network/load/storage energy. Finally, a simulation model was built in Matlab to verify the accuracy and practicability of the proposed control strategies, and then applied those strategies to the demonstration project.
Aiming at the problem that the energy storage station has a single operation mode under the existing configuration and cannot fully utilize the energy storage function, this paper presented a novel control strategy which combines smoothing photovoltaic fluctuation mode and peak-valley electricity price arbitrage mode. For the mode of smoothing photovoltaic fluctuation, the internal power of the energy storage system is initially allocated by wavelet packet decomposition, and then combined with the state of charge of the energy storage device, the primary power is adjusted to realize power redistribution. For the mode of peak-valley electricity price arbitrage, according to the time-of-use price and state of battery charge information, the charging and discharging start and stop time of the energy storage system is determined, and then the charging and discharging power is determined according to the actual size of the load to realize the economic operation of the power load. According to the real-time fluctuation of PV, combined with the state of charge of the energy storage device, a coordinated operation strategy of two operating modes was designed to realize the reasonable management of source/network/load/storage energy. Finally, a simulation model was built in Matlab to verify the accuracy and practicability of the proposed control strategies, and then applied those strategies to the demonstration project.
引文
[1]Zhu Yixin,Zhuo Fang,Shi Hongtao.Power management strategy research for a photovoltaic-hybrid energy storage system[C]//2013 IEEE ECCE Asia Downunder.Melbourne,VIC,Australia:IEEE,2013:842-848.
[2]王建,李兴源,邱晓燕.含有分布式发电装置的电力系统研究综述[J].电力系统自动化,2005,29(24):90-97.Wang Jian,Li Xingyuan,Qiu Xiaoyan.Power system research on distributed generation penetration[J].Automation of Electric Power Systems,2005,29(24):90-97(in Chinese)
[3]刘皓明,陆丹,杨波,等.可平抑高渗透分布式光伏发电功率波动的储能电站调度策略[J].高电压技术,2015,41(10):3213-3223.Liu Haoming,Lu Dan,Yang Bo,et al.Dispatch strategy of energy storage station to smooth power fluctuations of high penetration photovoltaic generation[J].High Voltage Engineering,2015,41(10):3213-3223(in Chinese).
[4]Alyami S,Wang Y,Wang C,et al.Adaptive Real Power Capping Method for Fair Overvoltage Regulation of Distribution Networks With High Penetration of PVSystems[J].IEEE Transactions on Smart Grid,2014,5(6):2729-2738.
[5]丁明,林根德,陈自年,等.一种适用于混合储能系统的控制策略[J].中国电机工程学报,2012,32(7):1-6.Ding Ming,Lin Gende,Chen Zinian,et al.A control strategy for hybrid energy storage systems[J].Proceedings of the CSEE,2012,32(7):1-6(in Chinese).
[6]Jiang Quanyuan,Wang Haijiao.Two-time-scale coordination control for a battery energy storage system to mitigate wind power fluctuations[J].IEEE Transactions on Energy Conversion,2013,28(1):52-61.
[7]丁明,吴建锋,朱承治,等.具备荷电状态调节功能的储能系统实时平滑控制策略[J].中国电机工程学报,2013,33(1):22-29.Ding Ming,Wu Jianfeng,Zhu Chengzhi,et al.A real-time smoothing control strategy with SOC adjustment function of storage systems[J].Proceedings of the CSEE,2013,33(1):22-29(in Chinese).
[8]雷鸣宇,杨子龙,王一波,等.光/储混合系统中的储能控制技术研究[J].电工技术学报,2016,31(23):86-92.Lei Mingyu,Yang Zilong,Wang Yibo,et al.Study on control technology of energy storage station in photovoltaic/storage system[J].Transactions of China Electrotechnical Society,2016,31(23):86-92(in Chinese).
[9]吕超贤,李欣然,户龙辉,等.基于小波分频与双层模糊控制的多类型储能系统平滑策略[J].电力系统自动化,2015,39(2):21-29.LüChaoxian,Li Xinran,Hu Longhui,et al.A smoothing strategy for hybrid energy storage system based on wavelet frequency allocation and two-level fuzzy control[J].Automation of Electric Power Systems,2015,39(2):21-29(in Chinese).
[10]吴振威,蒋小平,马会萌,等.用于混合储能平抑光伏波动的小波包-模糊控制[J].中国电机工程学报,2014,34(3):317-324.Wu Zhenwei,Jiang Xiaoping,Ma Huimeng,et al.Wavelet packet-fuzzy control of hybrid energy storage systems for PV power smoothing[J].Proceedings of the CSEE,2014,34(3):317-324(in Chinese).
[11]姚波,樊艳芳.光储联合系统中储能电站的能量管理[J].可再生能源,2017,35(2):232-239.Yao Bo,Fan Yanfang.The energy management of energy storage power station in photovoltaic and energy storage hybrid system[J].Renewable Energy Resources,2017,35(2):232-239(in Chinese).
[12]鲍冠南,陆超,袁志昌,等.基于动态规划的电池储能系统削峰填谷实时优化[J].电力系统自动化,2012,36(12):11-16.Bao Guannan,Lu Chao,Yuan Zhichang,et al.Load shift real-time optimization strategy of battery energy storage system based on dynamic programming[J].Automation of Electric Power Systems,2012,36(12):11-16(in Chinese).
[13]Oudalov A,Cherkaoui R,Beguin A.Sizing and optimal operation of battery energy storage system for peak shaving application[C]//2007 IEEE Lausanne Power Tech.Lausanne,Switzerland:IEEE,2007.
[14]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(in Chinese).
[15]禹威威,刘世林,陈其工,等.考虑需求侧管理的光伏微电网多目标优化调度方法[J].太阳能学报,2017,38(11):2972-2981.Yu Weiwei,Liu Shilin,Chen Qigong,et al.Multi-objective optimization scheduling method for photovoltaic based microgrid considering demand side management[J].Acta Energiae Solaris Sinica,2017,38(11):2972-2981(in Chinese).
[16]林泓涛,姜久春,贾志东,等.权重系数自适应调整的混合储能系统多目标模型预测控制[J].中国电机工程学报,2018,38(18):5538-5547.Lin Hongtao,Jiang Jiuchun,Jia Zhidong,et al.Multi-objective model predictive control for hybrid energy storage system with adaptive adjustment of weight coefficients[J].Proceedings of the CSEE,2018,38(18):5538-5547(in Chinese).
[17]郭金金,吴红斌.平抑风电波动的混合储能协调优化控制方法[J].太阳能学报,2016,37(10):2695-2702.Guo Jinjin,Wu Hongbin.Optimal coordination control method of hybrid energy storage to smooth wind power fluctuation[J].Acta Energiae Solaris Sinica,2016,37(10):2695-2702(in Chinese).
[18]程志江,李永东,谢永流,等.带超级电容的光伏发电微网系统混合储能控制策略[J].电网技术,2015,39(10):2739-2745.Cheng Zhijiang,Li Yongdong,Xie Yongliu,et al.Control strategy for hybrid energy storage of photovoltaic generation microgrid system with super capacitor[J].Power System Technology,2015,39(10):2739-2745(in Chinese).
[19]何川,刘天琪,胡晓通,等.基于超短期风电预测和混合储能的风电爬坡优化控制[J].电网技术,2017,41(3):782-790.He Chuan,Liu Tianqi,Hu Xiaotong,et al.Optimal control of wind ramp based on very short-term wind forecast and hybrid ESS[J].Power System Technology,2017,41(3):782-790(in Chinese).
[20]国家电网公司.Q/GDW 1617-2015光伏电站接入电网技术规定[S].北京:中国电力出版社,2016.State Gird Corporation of China.Q/GDW 1617-2015Technical rule for connecting photovoltaic power station to power grid[S].Beijing:China Electric Power Press,2016(in Chinese).
[21]Chen Yuanyuan,Yang Zilong,Wang Yibo,et al.State of Charge Estimation of Lead-carbon Batteries in Actual engineering[C]//2017 20th International Conference on Electrical Machines and Systems.Sydney,Australia:IEEE,2017.
[2]王建,李兴源,邱晓燕.含有分布式发电装置的电力系统研究综述[J].电力系统自动化,2005,29(24):90-97.Wang Jian,Li Xingyuan,Qiu Xiaoyan.Power system research on distributed generation penetration[J].Automation of Electric Power Systems,2005,29(24):90-97(in Chinese)
[3]刘皓明,陆丹,杨波,等.可平抑高渗透分布式光伏发电功率波动的储能电站调度策略[J].高电压技术,2015,41(10):3213-3223.Liu Haoming,Lu Dan,Yang Bo,et al.Dispatch strategy of energy storage station to smooth power fluctuations of high penetration photovoltaic generation[J].High Voltage Engineering,2015,41(10):3213-3223(in Chinese).
[4]Alyami S,Wang Y,Wang C,et al.Adaptive Real Power Capping Method for Fair Overvoltage Regulation of Distribution Networks With High Penetration of PVSystems[J].IEEE Transactions on Smart Grid,2014,5(6):2729-2738.
[5]丁明,林根德,陈自年,等.一种适用于混合储能系统的控制策略[J].中国电机工程学报,2012,32(7):1-6.Ding Ming,Lin Gende,Chen Zinian,et al.A control strategy for hybrid energy storage systems[J].Proceedings of the CSEE,2012,32(7):1-6(in Chinese).
[6]Jiang Quanyuan,Wang Haijiao.Two-time-scale coordination control for a battery energy storage system to mitigate wind power fluctuations[J].IEEE Transactions on Energy Conversion,2013,28(1):52-61.
[7]丁明,吴建锋,朱承治,等.具备荷电状态调节功能的储能系统实时平滑控制策略[J].中国电机工程学报,2013,33(1):22-29.Ding Ming,Wu Jianfeng,Zhu Chengzhi,et al.A real-time smoothing control strategy with SOC adjustment function of storage systems[J].Proceedings of the CSEE,2013,33(1):22-29(in Chinese).
[8]雷鸣宇,杨子龙,王一波,等.光/储混合系统中的储能控制技术研究[J].电工技术学报,2016,31(23):86-92.Lei Mingyu,Yang Zilong,Wang Yibo,et al.Study on control technology of energy storage station in photovoltaic/storage system[J].Transactions of China Electrotechnical Society,2016,31(23):86-92(in Chinese).
[9]吕超贤,李欣然,户龙辉,等.基于小波分频与双层模糊控制的多类型储能系统平滑策略[J].电力系统自动化,2015,39(2):21-29.LüChaoxian,Li Xinran,Hu Longhui,et al.A smoothing strategy for hybrid energy storage system based on wavelet frequency allocation and two-level fuzzy control[J].Automation of Electric Power Systems,2015,39(2):21-29(in Chinese).
[10]吴振威,蒋小平,马会萌,等.用于混合储能平抑光伏波动的小波包-模糊控制[J].中国电机工程学报,2014,34(3):317-324.Wu Zhenwei,Jiang Xiaoping,Ma Huimeng,et al.Wavelet packet-fuzzy control of hybrid energy storage systems for PV power smoothing[J].Proceedings of the CSEE,2014,34(3):317-324(in Chinese).
[11]姚波,樊艳芳.光储联合系统中储能电站的能量管理[J].可再生能源,2017,35(2):232-239.Yao Bo,Fan Yanfang.The energy management of energy storage power station in photovoltaic and energy storage hybrid system[J].Renewable Energy Resources,2017,35(2):232-239(in Chinese).
[12]鲍冠南,陆超,袁志昌,等.基于动态规划的电池储能系统削峰填谷实时优化[J].电力系统自动化,2012,36(12):11-16.Bao Guannan,Lu Chao,Yuan Zhichang,et al.Load shift real-time optimization strategy of battery energy storage system based on dynamic programming[J].Automation of Electric Power Systems,2012,36(12):11-16(in Chinese).
[13]Oudalov A,Cherkaoui R,Beguin A.Sizing and optimal operation of battery energy storage system for peak shaving application[C]//2007 IEEE Lausanne Power Tech.Lausanne,Switzerland:IEEE,2007.
[14]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(in Chinese).
[15]禹威威,刘世林,陈其工,等.考虑需求侧管理的光伏微电网多目标优化调度方法[J].太阳能学报,2017,38(11):2972-2981.Yu Weiwei,Liu Shilin,Chen Qigong,et al.Multi-objective optimization scheduling method for photovoltaic based microgrid considering demand side management[J].Acta Energiae Solaris Sinica,2017,38(11):2972-2981(in Chinese).
[16]林泓涛,姜久春,贾志东,等.权重系数自适应调整的混合储能系统多目标模型预测控制[J].中国电机工程学报,2018,38(18):5538-5547.Lin Hongtao,Jiang Jiuchun,Jia Zhidong,et al.Multi-objective model predictive control for hybrid energy storage system with adaptive adjustment of weight coefficients[J].Proceedings of the CSEE,2018,38(18):5538-5547(in Chinese).
[17]郭金金,吴红斌.平抑风电波动的混合储能协调优化控制方法[J].太阳能学报,2016,37(10):2695-2702.Guo Jinjin,Wu Hongbin.Optimal coordination control method of hybrid energy storage to smooth wind power fluctuation[J].Acta Energiae Solaris Sinica,2016,37(10):2695-2702(in Chinese).
[18]程志江,李永东,谢永流,等.带超级电容的光伏发电微网系统混合储能控制策略[J].电网技术,2015,39(10):2739-2745.Cheng Zhijiang,Li Yongdong,Xie Yongliu,et al.Control strategy for hybrid energy storage of photovoltaic generation microgrid system with super capacitor[J].Power System Technology,2015,39(10):2739-2745(in Chinese).
[19]何川,刘天琪,胡晓通,等.基于超短期风电预测和混合储能的风电爬坡优化控制[J].电网技术,2017,41(3):782-790.He Chuan,Liu Tianqi,Hu Xiaotong,et al.Optimal control of wind ramp based on very short-term wind forecast and hybrid ESS[J].Power System Technology,2017,41(3):782-790(in Chinese).
[20]国家电网公司.Q/GDW 1617-2015光伏电站接入电网技术规定[S].北京:中国电力出版社,2016.State Gird Corporation of China.Q/GDW 1617-2015Technical rule for connecting photovoltaic power station to power grid[S].Beijing:China Electric Power Press,2016(in Chinese).
[21]Chen Yuanyuan,Yang Zilong,Wang Yibo,et al.State of Charge Estimation of Lead-carbon Batteries in Actual engineering[C]//2017 20th International Conference on Electrical Machines and Systems.Sydney,Australia:IEEE,2017.