应对区域供电线路故障的多功能复合储能优化配置方法
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摘要
区域供电线路故障会使部分线路出现短时拥塞,同时区域内重要负荷供电不足,导致大量切机和切负荷。针对这一问题,提出一种应对区域供电线路故障的多功能复合储能优化配置方法。该配置方法考虑了各发电单元在线路故障发生后的响应时间,优化配置功率型储能和切除部分非关键性负荷以缓解线路短时拥塞。考虑重要负荷在故障检修期间的供电需求指标,在已有功率型储能基础上,协调优化配置能量型储能以保障区内重要负荷供电。最后,以复合储能整体投资费用最小为优化目标,结合实际电力系统算例进行了仿真,对影响配置结果的关键参数进行了灵敏度计算,深入分析了复合储能优化配置的相关原理,验证了所提模型和方法的正确性。
Regional power line faults may cause short-time congestion on other lines and power supply shortage of the important load in the region, which may result in a large number of generator tripping and load shedding. To deal with the problem, a configuation optimization method of multifunctional hybrid energy storage for regional power line faults is proposed. The proposed method considers the response time of each power source unit, configures power-type energy storage optimally and cuts some non-critical load to relieve the short-time power grid congestion. The power supply demand index of the important loads in the corrective maintenance period is considered, and energy-type energy storage is configured optimally to guarantee the power supply of important loads in the region based on the configured power-type energy storage. Finally, the total investment of the hybrid energy storage is selected as the objective, the case studies are performed in a real power system, the sensitivity analysis of some key parameters for the configuration solution is given and the correctness of the proposed model and method is validated.
Regional power line faults may cause short-time congestion on other lines and power supply shortage of the important load in the region, which may result in a large number of generator tripping and load shedding. To deal with the problem, a configuation optimization method of multifunctional hybrid energy storage for regional power line faults is proposed. The proposed method considers the response time of each power source unit, configures power-type energy storage optimally and cuts some non-critical load to relieve the short-time power grid congestion. The power supply demand index of the important loads in the corrective maintenance period is considered, and energy-type energy storage is configured optimally to guarantee the power supply of important loads in the region based on the configured power-type energy storage. Finally, the total investment of the hybrid energy storage is selected as the objective, the case studies are performed in a real power system, the sensitivity analysis of some key parameters for the configuration solution is given and the correctness of the proposed model and method is validated.
引文
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[11] 孙鸣,桂旭.可向特定负荷定时限独立供电的储能系统优化配置[J].电力系统自动化,2018,42(14):115-122.DOI:10.7500/AEPS20170910008.SUN Ming, GUI Xu. Optimal configuration of certain time independent power supply for specific load provided by battery energy storage system[J]. Automation of Electric Power Systems, 2018, 42(14): 115-122. DOI: 10.7500/AEPS20170910008.
[12] 文劲宇,方家琨.能源互联网中的关键设备与支撑技术[J].南方电网技术,2016,10(3):1-10.WEN Jinyu, FANG Jiakun. Key facilities and supportive technologies in energy internet[J]. Southern Power System Technology, 2016, 10(3): 1-10.
[13] 雷霆,胡晓飞,胡世骏,等.基于稳态数据的调度主站热稳定控制技术[J].电力系统自动化,2013,37(11):103-106.LEI Ting, HU Xiaofei, HU Shijun, et al. Thermal stability control technology in dispatching center based on grid steady-state data[J]. Automation of Electric Power Systems, 2013, 37(11): 103-106.
[14] 李若,李欣然,谭庄熙,等.考虑储能电池参与二次调频的综合控制策略[J].电力系统自动化,2018,42(8):74-82.DOI:10.7500/AEPS20171011007.LI Ruo, LI Xinran, TAN Zhuangxi, et al. Integrated control strategy considering energy storage battery participating in secondary frequency regulation[J]. Automation of Electric Power Systems, 2018, 42(8): 74-82. DOI: 10.7500/AEPS20171011007.
[15] 李琼慧,王彩霞,张静,等.适用于电网的先进大容量储能技术发展路线图[J].储能科学与技术,2017,6(1):141-146.LI Qionghui, WANG Caixia, ZHANG Jing, et al. A roadmap for large scale energy storage for grid-level applications[J]. Energy Storage Science and Technology, 2017, 6(1): 141-146.
[16] 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.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.
[17] 韩杏宁,黎嘉明,文劲宇,等.含多风电场的电力系统储能鲁棒优化配置方法[J].中国电机工程学报,2015,35(9):2120-2127.HAN Xingning, LI Jiaming, WEN Jinyu, et al. Optimization for robust energy storage allocation in power system with multiple wind farms integrated[J]. Proceedings of the CSEE, 2015, 35(9): 2120-2127.
[18] 李建林,郭斌琪,牛萌,等.风光储系统储能容量优化配置策略[J].电工技术学报,2018,33(6):1189-1196.LI Jianlin, GUO Binqi, NIU Meng, et al. Optimal configuration strategy of energy storage capacity in wind/PV/storage hybrid system[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1189-1196.
[19] 孙辉,刘鑫,贲驰,等.含风储一体化电站的电力系统多目标风险调度模型[J].电力系统自动化,2018,42(5):94-101.DOI:10.7500/AEPS20170910002.SUN Hui, LIU Xin, BEN Chi, et al. Multi-objective risk scheduling model of power system containing power station with integrated wind power and energy storage[J]. Automation of Electric Power Systems, 2018, 42(5): 94-101. DOI: 10.7500/AEPS20170910002.
[20] 晏鸣宇,张伊宁,艾小猛,等.采用Benders分解含机组禁止运行区间的安全约束最优潮流[J].电力系统自动化,2018,42(6):60-65.DOI:10.7500/AEPS20170528003.YAN Mingyu, ZHANG Yining, AI Xiaomeng, et al. Benders decomposition based security-constrained optimal power flow considering generator prohibited zone[J]. Automation of Electric Power Systems, 2018, 42(6): 60-65. DOI: 10.7500/AEPS20170528003.
[21] 刘巨,姚伟,文劲宇,等.一种基于储能技术的风电场虚拟惯量补偿策略[J].中国电机工程学报,2015,35(7):1596-1605.LIU Ju, YAO Wei, WEN Jinyu, et al. A wind farm virtual inertia compensation strategy based on energy storage system[J]. Proceedings of the CSEE, 2015, 35(7): 1596-1605.
[22] 甘伟,艾小猛,方家琨,等.风-火-水-储-气联合优化调度策略[J].电工技术学报,2017,32(增刊1):11-20.GAN Wei, AI Xiaomeng, FANG Jiakun, et al. Coordinated optimal operation of the wind, coal, hydro, gas units with energy storage[J]. Transactions of China Electrotechnical Society, 2017, 32(S1): 11-20.
[23] 刘英军,刘畅,王伟,等.储能发展现状与趋势分析[J].中外能源,2017,22(4):80-88.LIU Yingjun, LIU Chang, WANG Wei, et al. Analysis of development status and trend of energy storage technology[J]. Sino-Global Energy, 2017, 22(4): 80-88.
[24] 丁明,钱宇骋,张晶晶.考虑多时间尺度的连锁故障演化和风险评估模型[J].中国电机工程学报,2017,37(20):5902-5912.DING Ming, QIAN Yucheng, ZHANG Jingjing, et al. Multi-timescale cascading failure evolution and risk assessment model[J]. Proceedings of the CSEE, 2017, 37(20): 5902-5912.
[25] 曾雪婷,刘天琪,李茜,等.基于动态调峰裕度的风电并网协调优化调度[J].电网技术,2015,39(6):1685-1690.ZENG Xueting, LIU Tianqi, LI Qian, et al. A dynamic peak load regulation margin based coordinated optimal dispatching under grid-connection of wind farm[J]. Power System Technology, 2015, 39(6): 1685-1690.
[2] 谢云云,薛禹胜,文福拴,等.冰灾对输电线故障率影响的时空评估[J].电力系统自动化,2013,37(18):32-41.XIE Yunyun, XUE Yusheng, WEN Fushuan, et al. Space-time evaluation for impact of ice disaster on transmission line fault probability[J]. Automation of Electric Power Systems, 2013, 37(18): 32-41.
[3] 李文博,朱元振,刘玉田.交直流混联系统连锁故障搜索模型及故障关联分析[J].电力系统自动化,2018,42(22):59-68.DOI:10.7500/AEPS20180210001.LI Wenbo, ZHU Yuanzhen, LIU Yutian. Search model and correlation analysis for cascading failures in AC/DC hybrid power system[J]. Automation of Electric Power Systems, 2018, 42(22): 59-68. DOI: 10.7500/AEPS20180210001.
[4] 张殷,肖先勇,陈晶,等.信息网受损对电网过载主导型连锁故障的影响[J].电力系统自动化,2017,41(13):14-21.DOI:10.7500/AEPS20161102006.ZHANG Yin, XIAO Xianyong, CHEN Jing, et al. Impact of information network damage on overload-based cascading failures of power grid[J]. Automation of Electric Power Systems, 2017, 41(13): 14-21. DOI: 10.7500/AEPS20161102006.
[5] 徐伟,鲍颜红,周海锋,等.基于阻塞分析的输电线路动态增容[J].电力系统保护与控制,2016,44(6):15-22.XU Wei, BAO Yanhong, ZHOU Haifeng, et al. Transmission line dynamic capacity-increase based on congestion analysis[J]. Power System Protection and Control, 2016, 44(6): 15-22.
[6] 王政余.并联储能型FACTS元件对连锁故障的影响[D].合肥:合肥工业大学,2016.WANG Zhengyu. Impact pf parallel FACTS element with energy storage on the development of cascading failures[D]. Hefei: Hefei University of Technology, 2016.
[7] WEN Yunfeng, GUO Chuangxin, KIRSCHER D S, et al. Enhanced security-constrained OPF with distributed battery energy storage[J]. IEEE Transactions on Power Systems, 2015, 30(1): 98-108.
[8] 侯玉强,李威,郑惠萍,等.解列后局部孤网的自适应第三道防线配置方法[J].电力系统自动化,2017,41(13):176-181.DOI:10.7500/AEPS20161211002.HOU Yuqiang, LI Wei, ZHENG Huiping, et al. Third defense line configuration method adaptable to isolated local power grid after splitting[J]. Automation of Electric Power Systems, 2017, 41(13): 176-181. DOI: 10.7500/AEPS20161211002.
[9] 韦肖燕,李欣然,钱军,等.采用储能电源辅助的暂态稳定紧急控制方法[J].电工技术学报,2017,32(18):286-300.WEI Xiaoyan, LI Xinran, QIAN Jun, et al. Power system transient stability emergency control method assisted by energy storage[J]. Transactions of China Electrotechnical Society, 2017, 32(18): 286-300.
[10] 解翔,袁越,邹文仲,等.非计划孤岛下的微电网供电可靠性评估[J].电力系统自动化,2012,36(9):18-23.XIE Xiang, YUAN Yue, ZOU Wenzhong, et al. Reliability evaluation of microgrid power supply in emergency non-scheduled isolated mode[J]. Automation of Electric Power Systems, 2012, 36(9): 18-23.
[11] 孙鸣,桂旭.可向特定负荷定时限独立供电的储能系统优化配置[J].电力系统自动化,2018,42(14):115-122.DOI:10.7500/AEPS20170910008.SUN Ming, GUI Xu. Optimal configuration of certain time independent power supply for specific load provided by battery energy storage system[J]. Automation of Electric Power Systems, 2018, 42(14): 115-122. DOI: 10.7500/AEPS20170910008.
[12] 文劲宇,方家琨.能源互联网中的关键设备与支撑技术[J].南方电网技术,2016,10(3):1-10.WEN Jinyu, FANG Jiakun. Key facilities and supportive technologies in energy internet[J]. Southern Power System Technology, 2016, 10(3): 1-10.
[13] 雷霆,胡晓飞,胡世骏,等.基于稳态数据的调度主站热稳定控制技术[J].电力系统自动化,2013,37(11):103-106.LEI Ting, HU Xiaofei, HU Shijun, et al. Thermal stability control technology in dispatching center based on grid steady-state data[J]. Automation of Electric Power Systems, 2013, 37(11): 103-106.
[14] 李若,李欣然,谭庄熙,等.考虑储能电池参与二次调频的综合控制策略[J].电力系统自动化,2018,42(8):74-82.DOI:10.7500/AEPS20171011007.LI Ruo, LI Xinran, TAN Zhuangxi, et al. Integrated control strategy considering energy storage battery participating in secondary frequency regulation[J]. Automation of Electric Power Systems, 2018, 42(8): 74-82. DOI: 10.7500/AEPS20171011007.
[15] 李琼慧,王彩霞,张静,等.适用于电网的先进大容量储能技术发展路线图[J].储能科学与技术,2017,6(1):141-146.LI Qionghui, WANG Caixia, ZHANG Jing, et al. A roadmap for large scale energy storage for grid-level applications[J]. Energy Storage Science and Technology, 2017, 6(1): 141-146.
[16] 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.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.
[17] 韩杏宁,黎嘉明,文劲宇,等.含多风电场的电力系统储能鲁棒优化配置方法[J].中国电机工程学报,2015,35(9):2120-2127.HAN Xingning, LI Jiaming, WEN Jinyu, et al. Optimization for robust energy storage allocation in power system with multiple wind farms integrated[J]. Proceedings of the CSEE, 2015, 35(9): 2120-2127.
[18] 李建林,郭斌琪,牛萌,等.风光储系统储能容量优化配置策略[J].电工技术学报,2018,33(6):1189-1196.LI Jianlin, GUO Binqi, NIU Meng, et al. Optimal configuration strategy of energy storage capacity in wind/PV/storage hybrid system[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1189-1196.
[19] 孙辉,刘鑫,贲驰,等.含风储一体化电站的电力系统多目标风险调度模型[J].电力系统自动化,2018,42(5):94-101.DOI:10.7500/AEPS20170910002.SUN Hui, LIU Xin, BEN Chi, et al. Multi-objective risk scheduling model of power system containing power station with integrated wind power and energy storage[J]. Automation of Electric Power Systems, 2018, 42(5): 94-101. DOI: 10.7500/AEPS20170910002.
[20] 晏鸣宇,张伊宁,艾小猛,等.采用Benders分解含机组禁止运行区间的安全约束最优潮流[J].电力系统自动化,2018,42(6):60-65.DOI:10.7500/AEPS20170528003.YAN Mingyu, ZHANG Yining, AI Xiaomeng, et al. Benders decomposition based security-constrained optimal power flow considering generator prohibited zone[J]. Automation of Electric Power Systems, 2018, 42(6): 60-65. DOI: 10.7500/AEPS20170528003.
[21] 刘巨,姚伟,文劲宇,等.一种基于储能技术的风电场虚拟惯量补偿策略[J].中国电机工程学报,2015,35(7):1596-1605.LIU Ju, YAO Wei, WEN Jinyu, et al. A wind farm virtual inertia compensation strategy based on energy storage system[J]. Proceedings of the CSEE, 2015, 35(7): 1596-1605.
[22] 甘伟,艾小猛,方家琨,等.风-火-水-储-气联合优化调度策略[J].电工技术学报,2017,32(增刊1):11-20.GAN Wei, AI Xiaomeng, FANG Jiakun, et al. Coordinated optimal operation of the wind, coal, hydro, gas units with energy storage[J]. Transactions of China Electrotechnical Society, 2017, 32(S1): 11-20.
[23] 刘英军,刘畅,王伟,等.储能发展现状与趋势分析[J].中外能源,2017,22(4):80-88.LIU Yingjun, LIU Chang, WANG Wei, et al. Analysis of development status and trend of energy storage technology[J]. Sino-Global Energy, 2017, 22(4): 80-88.
[24] 丁明,钱宇骋,张晶晶.考虑多时间尺度的连锁故障演化和风险评估模型[J].中国电机工程学报,2017,37(20):5902-5912.DING Ming, QIAN Yucheng, ZHANG Jingjing, et al. Multi-timescale cascading failure evolution and risk assessment model[J]. Proceedings of the CSEE, 2017, 37(20): 5902-5912.
[25] 曾雪婷,刘天琪,李茜,等.基于动态调峰裕度的风电并网协调优化调度[J].电网技术,2015,39(6):1685-1690.ZENG Xueting, LIU Tianqi, LI Qian, et al. A dynamic peak load regulation margin based coordinated optimal dispatching under grid-connection of wind farm[J]. Power System Technology, 2015, 39(6): 1685-1690.