TWO-STAGE STOCHASTIC OPTIMAL SCHEDULING OF THERMAL POWER UNITS CONSIDERING REAL-TIME ADJUSTMENT OF ENERGY STORAGE

Zhang Haibo; Duan Rui; Shen Jie; Huang Songtao; Shang Guozheng

doi:10.19912/j.0254-0096.tynxb.2024-1290

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (11) : 119-128. DOI: 10.19912/j.0254-0096.tynxb.2024-1290

TWO-STAGE STOCHASTIC OPTIMAL SCHEDULING OF THERMAL POWER UNITS CONSIDERING REAL-TIME ADJUSTMENT OF ENERGY STORAGE

Zhang Haibo¹, Duan Rui¹, Shen Jie¹, Huang Songtao², Shang Guozheng²

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Abstract

In order to give fully exploit to the flexible regulation capability of energy storage to smooth the planned output of thermal power units in the day-ahead dispatch phase, a day-ahead two-stage stochastic optimal dispatch model is constructed to take into account the real-time regulation of energy storage. The model simultaneously considers the two-stage scheduling process of day-ahead scheduling and real-time operation, determines the unit commitment and reserve capacity plan of thermal power units based on the wind and solar prediction output in the day-ahead stage, uses the H-P filter decomposition method to decompose the system net load in the wind and solar real-time scenarios, applies real-time energy storage adjustments to stabilize the high-frequency components in the net load, which is first decomposed into high-frequency and trend components, and thermal power units to stabilize the trend components of the net load, so as to achieve the purpose of smoothing the planned output of thermal power units in the day-ahead scheduling stage. The example shows that the model can effectively reduce the number of planned thermal power unit regulation, reduce the thermal power unit regulation cost, and improve the thermal power life, and the application of the model under the existing new energy installed capacity is more obvious with the increase of renewable energy penetration rate in the region.

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energy storage / stochastic programming / real time control / H-P filter decomposition / smoothing thermal unit output

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Zhang Haibo, Duan Rui, Shen Jie, Huang Songtao, Shang Guozheng. TWO-STAGE STOCHASTIC OPTIMAL SCHEDULING OF THERMAL POWER UNITS CONSIDERING REAL-TIME ADJUSTMENT OF ENERGY STORAGE[J]. Acta Energiae Solaris Sinica. 2025, 46(11): 119-128 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1290

References

[1] 国家能源局. 国家能源局发布2023年全国电力工业统计数据[J]. 电力科技与环保, 2024, 40(1): 95.
National Energy Administration.National Energy Administration released statistical data of national electric power industry in 2023[J]. Electric power technology and environmental protection, 2024, 40(1): 95.
[2] 朱自伟, 黄彪, 裘昕月, 等. 基于平抑风光出力波动的主动配电网优化调度[J]. 太阳能学报, 2022, 43(5): 90-97.
ZHU Z W, HUANG B, QIU X Y, et al.Optimal dispatching of active distribution network based on suppressing wind and photovoltaic power fluctuation[J]. Acta energiae solaris sinica, 2022, 43(5): 90-97.
[3] 张炜, 胡玉峰. 基于有限元分析的汽轮机转子低周疲劳损耗研究[J]. 热能动力工程, 2018, 33(9): 31-38.
ZHANG W, HU Y F.Study on low cycle fatigue loss of turbine rotor based on finite element analysis[J]. Journal of engineering for thermal energy and power, 2018, 33(9): 31-38.
[4] 林俐, 邹兰青, 周鹏, 等. 规模风电并网条件下火电机组深度调峰的多角度经济性分析[J]. 电力系统自动化, 2017, 41(7): 21-27.
LIN L, ZOU L Q, ZHOU P, et al.Multi-angle economic analysis on deep peak regulation of thermal power units with large-scale wind power integration[J]. Automation of electric power systems, 2017, 41(7): 21-27.
[5] 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.
[6] 叶浩劼, 谢丽蓉, 邓佳桐, 等. 考虑碳交易机制的风-火协调低碳优化调度[J]. 太阳能学报, 2023, 44(6): 106-112.
YE H J, XIE L R, DENG J T, et al.Wind-fire coordinated low-carbon optimal dispatch considering carbon trading mechanism[J]. Acta energiae solaris sinica, 2023, 44(6): 106-112.
[7] 邓婷婷, 娄素华, 田旭, 等. 计及需求响应与火电深度调峰的含风电系统优化调度[J]. 电力系统自动化, 2019, 43(15): 34-41.
DENG T T, LOU S H, TIAN X, et al.Optimal dispatch of power system integrated with wind power considering demand response and deep peak regulation of thermal power units[J]. Automation of electric power systems, 2019, 43(15): 34-41.
[8] 曹子珣, 陈红坤, 胡畔, 等. 计及市场收益的含储能火电厂日前-日内两阶段优化调度方法[J]. 电力系统保护与控制, 2021, 49(12): 106-113.
CAO Z X, CHEN H K, HU P, et al.Day-ahead and intraday two-stage optimal dispatch model of a thermal power plant with energy storage and taking into account the profit[J]. Power system protection and control, 2021, 49(12): 106-113.
[9] 李一铭, 李文沅, 颜伟, 等. 基于机会约束规划模型降低机组寿命损耗的日调度计划[J]. 电网技术, 2014, 38(7): 1885-1890.
LI Y M, LI W Y, YAN W, et al.Daily generation scheduling for reducing losses of unit’s lives based on the chance constrained programming model[J]. Power system technology, 2014, 38(7): 1885-1890.
[10] 申杰. 考虑送端系统灵活性的交直流互联电网随机优化调度[D]. 北京: 华北电力大学, 2021.
SHEN J.Stochastic optimal dispatch of AC/DC interconnected power system considering flexibility of sending system[D]. Beijing: North China Electric Power University, 2021.
[11] LIU Y, NAIR N C.A two-stage stochastic dynamic economic dispatch model considering wind uncertainty[J]. IEEE transactions on sustainable energy, 2016, 7(2): 819-829.
[12] LI Y Z, YIN J M, ZHAO T Y, et al.Optimal scheduling of AC/DC comprehensive energy network via risk embedded two-stage stochastic optimization[C]//2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS). Calgary, AB, Canada, 2019: 1-9.
[13] 王海冰, 王承民, 张庚午, 等. 考虑条件风险价值的两阶段发电调度随机规划模型和方法[J]. 中国电机工程学报, 2016, 36(24): 6838-6848, 6939.
WANG H B, WANG C M, ZHANG G W, et al.Two-stage stochastic generation dispatching model and method considering conditional value-at-risk[J]. Proceedings of the CSEE, 2016, 36(24): 6838-6848, 6939.
[14] 王海冰, 戚永志, 王承民, 等. 考虑柔性负荷的两阶段随机优化调度模型[J]. 电网技术, 2018, 42(11): 3669-3675.
WANG H B, QI Y Z, WANG C M, et al.Two-stage stochastic optimal scheduling model considering flexible load[J]. Power system technology, 2018, 42(11): 3669-3675.
[15] TUMULURU V K, TSANG D H K. A two-stage approach for network constrained unit commitment problem with demand response[J]. IEEE transactions on smart grid, 2018, 9(2): 1175-1183.
[16] XI Y M, ZHANG H B, GONG X F, et al.Strategy of smoothing wind power fluctuation based on H-P filtering method[C]//2019 IEEE Sustainable Power and Energy Conference (iSPEC). Beijing, China, 2019: 751-755.
[17] 付蔷. 促进风电消纳的火电灵活性改造深度及经济效益研究[D]. 北京: 北京交通大学, 2018.
FU Q.Study on depth and economic benefits of thermal power flexibility transformation to promote wind power consumption[D]. Beijing: Beijing Jiaotong University, 2018.
[18] 吴勇刚. 大型火电机组汽轮机转子寿命损耗的分析与研究[J]. 机电信息, 2013(9): 39-40.
WU Y G.Analysis and research on life loss of steam turbine rotor of large thermal power unit[J]. Mechanical and electrical information, 2013(9): 39-40.
[19] 邹兰青. 规模风电并网条件下火电机组深度调峰多角度经济性分析[D]. 北京: 华北电力大学, 2017.
ZOU L Q.Multi-angle economic analysis for deep peak regulation of thermal units with large scale wind power connected power system[D]. Beijing: North China Electric Power University, 2017.
[20] 王振浩, 马爽, 李国庆, 等. 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 Z H, MA S, LI G Q, et al.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.