考虑复合储能电站接入的电网日前-日内两阶段滚动优化调度

doi:10.19912/j.0254-0096.tynxb.2021-0444

摘要/Abstract

摘要： 为提高电力系统对光伏的接纳能力,降低光伏波动对电力系统运行的影响,提出一种考虑电池储能-抽水蓄能复合储能的电力系统日前-日内两阶段“源-储-荷”协调优化调度策略。首先,在日前调度模型中,以最小化系统总运行经济成本为目标,综合复合储能资源和负荷侧各类需求响应资源对电网进行双端协调优化。然后,在日内短时间尺度上,供需双端协调优化机组出力与需求侧响应,充分发挥抽水蓄能的调峰能力以及电池储能对光伏波动的抑制作用。所提模型通过CPLEX软件求解,算例结果验证了该模型能协调优化系统内各类可调节资源,有效降低系统弃光率。

关键词: 光伏发电, 优化调度, 储能电站, 需求响应

Abstract: In order to improve the acceptance capacity of the power system for photovoltaic and reduce the impact of photovoltaic fluctuation on the operation of the power system, this paper proposes a day-to-day two-stage "source storage load" coordinated optimal dispatching strategy of the power system considering the battery energy storage and pumped storage composite energy storage. First of all, in the day ahead scheduling model, to minimize the total operating cost of the system, the two terminal coordination optimization of the power grid is carried out by combining the composite energy storage resources and load side demand response resources. Then, on a short time scale within a day, both supply and demand ends coordinate to optimize the unit output and demand side response, and give full play to the peak shaving capacity of pumped storage and the inhibition of battery energy storage on photovoltaic fluctuations. The proposed model is solved by CPLEX software. The example results verify that the model can coordinate and optimize various adjustable resources in the system and effectively reduce the light rejection rate of the system.

中图分类号:

TM615

王振浩, 马爽, 李国庆, 边竞. 考虑复合储能电站接入的电网日前-日内两阶段滚动优化调度[J]. 太阳能学报, 2022, 43(10): 400-408.

Wang Zhenhao, Ma Shuang, Li Guoqing, Bian Jing. DAY-AHEAD AND INTRA-DAY TWO-STAGE ROLLING OPTIMAL DISPATCH OF POWER GRID CONSIDERING ACCESS OF COMPOSITE ENERGY STORAGE POWER STATIONS[J]. Acta Energiae Solaris Sinica, 2022, 43(10): 400-408.

参考文献

[1] 国家能源局. 2020年全国电力工业统计数据[EB/OL]. http://www.nea.gov.cn/2021-01/20/c_139683739.htm.
National Energy Administration. Statistical data of national power industry in 2020[EB/OL]. http://www.nea.gov.cn/2021-01/20/c_139683739.htm.
[2] 娄素华, 杨天蒙, 吴耀武, 等. 含高渗透率风电的电力系统复合储能协调优化运行[J]. 电力系统自动化, 2016, 40(7): 30-35.
LOU S H, YANG T M, WU Y W, et al.Coordinated optimal operation of hybrid energy storage in power system accommodated high penetration of wind power[J]. Automation of electric power systems, 2016, 40(7): 30-35.
[3] 舒印彪, 张智刚, 郭剑波, 等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报, 2017, 37(1): 1-9.
SHU Y B, ZHANG Z G, GUO J B, et al.Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37(1): 1-9.
[4] 夏鹏, 刘文颖, 张尧翔, 等. 考虑风电高阶不确定性的分布式鲁棒优化调度模型[J]. 电工技术学报, 2020, 35(1): 189-200.
XIA P, LIU W Y, ZHANG Y X, et al.A distributionally robust optimization scheduling model considering higher-order uncertainty of wind power[J]. Transactions of China Electrotechnical Society, 2020, 35(1): 189-200.
[5] 李国庆, 董存, 梁志峰, 等. 考虑光伏发电不确定性的跨省两级优化调度模型[J]. 高电压技术, 2021, 47(12): 4420-4432.
LI G Q, DONG C, LIANG Z F, et al.Cross-provincial two level optimal scheduling model considering the uncertainty of photovoltaic power generation[J]. High voltage engineering, 2021, 47(12): 4420-4432.
[6] 崔杨, 周慧娟, 仲悟之, 等. 考虑源荷两侧不确定性的含风电电力系统低碳调度[J]. 电力自动化设备, 2020, 40(11): 85-93.
CUI Y, ZHOU H J, ZHONG W Z, et al.Low-carbon scheduling of power system with wind power considering uncertainty of both source and load sides[J]. Electric power automation equipment, 2020, 40(11): 85-93.
[7] 邹金, 赖旭, 汪宁渤. 大规模风电并网下的抽水蓄能机组调频控制研究[J]. 中国电机工程学报, 2017, 37(2): 564-572.
ZOU J, LAI X, WANG N B.Study on control of pumped storage units for frequency regulation in power systems integrated with large-scale wind power generation[J]. Proceedings of the CSEE, 2017, 37(2): 564-572.
[8] 吴雄, 王秀丽, 李骏, 等. 风电储能混合系统的联合调度模型及求解[J]. 中国电机工程学报, 2013, 33(13): 10-17.
WU X, WANG X L, LI J, et al.A joint operation model and solution for hybrid wind energy storage systems[J]. Proceedings of the CSEE, 2013, 33(13): 10-17.
[9] LANNOYE E, FLYNN D, MALLEY M.Transmission, variable generation, and power system flexibility[J]. IEEE transactions on power systems, 2015, 30(1): 57-66.
[10] 包宇庆, 王蓓蓓, 李扬, 等. 考虑大规模风电接入并计及多时间尺度需求响应资源协调优化的滚动调度模型[J]. 中国电机工程学报, 2016, 36(17): 4589-4600.
BAO Y Q, WANG B B, LI Y, et al.Rolling scheduling model considering large-scale wind power integration and multi time scale demand response resource coordination and optimization[J]. Proceedings of the CSEE, 2016, 36(17): 4589-4600.
[11] 别朝红, 胡国伟, 谢海鹏, 等. 考虑需求响应的含风电电力系统的优化调度[J]. 电力系统自动化, 2014, 38(13): 115-120.
BIE C H, HU G W, XIE H P, et al.Optimal dispatch for wind power integrated systems considering demand response[J]. Automation of electric power systems, 2014, 38(13): 115-120.
[12] WU ZV, LI Y, TAN Y, et al.Day-ahead optimal scheduling for sensitive loads and demand response resources in power system[C]//2019 IEEE Sustainable Power and Energy Conference, Beijing, China, 2019.
[13] 金国彬, 潘狄, 陈庆, 等. 考虑源荷不确定性的直流配电网模糊随机日前优化调度[J]. 电工技术学报, 2021, 36(21): 4517-4528.
JIN G B, PAN D, CHEN Q, et al.Fuzzy random day-ahead optimal dispatch of DC distribution network considering the uncertainty of source-load[J]. Transactions of China Electrotechnical Society, 2021, 36(21): 4517-4528.
[14] 林俐, 潘险险, 张凌云, 等. 基于免疫离群数据和敏感初始中心的K-means算法的风电场机群划分[J]. 中国电机工程学报, 2016, 36(20): 5461-5468, 5722.
LIN L, PAN X X, ZHANG L Y, et al.Wind farm cluster division based on immune outlier data and K-means algorithm of sensitive initial center[J]. Proceedings of the CSEE, 2016, 36(20): 5461-5468, 5722.
[15] 陈刚, 袁越, 傅质馨. 储能电池平抑光伏发电波动的应用[J]. 电力系统及其自动化学报, 2014, 26(2): 27-31, 49.
CHEN G, YUAN Y, FU Z X.Application of storage battery to restrain the photovoltaic power fluctuation[J]. Proceedings of the CSU-EPSA, 2014, 26(2): 27-31, 49.
[16] 张国斌, 陈玥, 张佳辉, 等. 风-光-水-火-抽蓄联合发电系统日前优化调度研究[J]. 太阳能学报, 2020, 41(8): 79-85.
ZHANG G B, CHEN Y, ZHANG J H, et al.Research on optimization of day-ahead dispatching of wind power-photovoltaic-hydropower-thermal power-pumped storage combined power generation system[J]. Acta energiae solaris sinica, 2020, 41(8): 79-85.
[17] LIN S J, FAN G S, JIAN G Y, et al.Stochastic economic dispatch of power system with multiple wind farms and pumped-storage hydro stations using approximate dynamic programming[J]. IET renewable power generation, 2020, 14(13): 2507-2516.
[18] 杨天蒙, 宋卓然, 娄素华, 等. 用于提高风电渗透率的复合储能容量优化研究[J]. 电网技术, 2018, 42(5): 1488-1494.
YANG T M, SONG Z R, LOU S H, et al.Sizing of hybrid energy storage system for improving wind power penetration[J]. Power system technology, 2018, 42(5): 1488-1494.
[19] 陈启鑫, 房曦晨, 郭鸿业, 等. 储能参与电力市场机制:现状与展望[J]. 电力系统自动化, 2021, 45(16): 14-28.
CHEN Q X, FANG X C, GUO H Y, et al.Participation of energy storage in power market mechanism:current situation and prospect[J]. Automation of electric power systems, 2021, 45(16): 14-28.
[20] 曹敏健, 胡泽春, 孟颖, 等. 含抽蓄电站与新能源发电的柔性直流系统日前优化调度方法[J]. 电力系统自动化, 2021, 45(15): 36-44.
CAO M J, HU Z C, MENG Y, et al.Recent optimal dispatching method of flexible DC system including pumped storage power station and new energy power generation[J]. Automation of electric power systems, 2021, 45(15): 36-44.
[21] 车泉辉, 吴耀武, 祝志刚, 等. 基于碳交易的含大规模光伏发电系统复合储能优化调度[J]. 电力系统自动化, 2019, 43(3): 76-83, 154.
CHE Q H, WU Y W, ZHU Z G, et al.Optimal scheduling of composite energy storage of large-scale photovoltaic power generation system based on carbon trading[J]. Power system automation, 2019, 43(3): 76-83, 154.
[22] 崔杨, 周慧娟, 仲悟之, 等. 考虑广义储能与火电联合调峰的日前-日内两阶段滚动优化调度[J]. 电网技术, 2021, 45(1): 10-20.
CUI Y, ZHOU H J, ZHONG W Z, et al.Two-stage day-ahead and intra-day rolling optimization scheduling considering joint peak regulation of generalized energy storage and thermal power[J]. Power system technology, 2021, 45(1): 10-20.