OPTIMAL MEDIUM- AND LONG-TERM OPERATION OF CASCADE HYDROPOWER PLANTS FOR ADAPTING NEW ENERGY ACCOMMODATION

Pan Hang; Ming Bo; Zhou Heng; Guo Yi; Huang Qiang; Yu Miao

doi:10.19912/j.0254-0096.tynxb.2024-1625

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 334-344. DOI: 10.19912/j.0254-0096.tynxb.2024-1625

OPTIMAL MEDIUM- AND LONG-TERM OPERATION OF CASCADE HYDROPOWER PLANTS FOR ADAPTING NEW ENERGY ACCOMMODATION

Pan Hang¹, Ming Bo¹, Zhou Heng², Guo Yi¹, Huang Qiang¹, Yu Miao³

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Abstract

This paper proposes a medium- and long-term scheduling method for wind and solar power integration into cascaded hydropower stations. Based on optimized typical transmission power curves, with the daily average actual discharge flow of reservoirs as a boundary condition, a long-term hourly-scale simulation of hydro-wind-solar complementary operation is conducted. Subsequently, the response function between renewable energy curtailment rate and hydropower output is extracted and embedded into the medium- and long-term hydro-wind-solar complementary operation model. A simulation-optimization method is adopted to derive adaptive operating rules. A case study on a clean energy base demonstrates： As hydropower output increases, the curtailment rate first decreases and then rises, with moderate hydropower output leading to lower wind and solar curtailment rates. Compared with conventional scheduling, optimizing hydropower operation alone reduces wind and solar curtailment rate by 3.71% and increases total system generation by 1.74%. The complementary operation optimization incorporating the response function further reduces wind and solar curtailment rate by 7.68% and enhances total system generation by 2.15%. Therefore, the proposed method can further exploit hydropower flexibility, coordinate the complementary relationship between hydropower and new energy, and improve the overall complementary efficiency of hydro-wind-solar integrated systems.

Key words

complementary system / optimal scheduling / new energy / cascade hydropower plants / curtailed electricity / operating rule curves

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Pan Hang, Ming Bo, Zhou Heng, Guo Yi, Huang Qiang, Yu Miao. OPTIMAL MEDIUM- AND LONG-TERM OPERATION OF CASCADE HYDROPOWER PLANTS FOR ADAPTING NEW ENERGY ACCOMMODATION[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 334-344 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1625

References

[1] 闻昕, 秦济森, 谭乔凤, 等. 基于余留期效益函数的水光互补随机优化调度方法[J]. 水资源保护, 2023, 39(6): 23-31, 62.
WEN X, QIN J S, TAN Q F, et al.Research on stochastic optimal operation of hydro-photovoltaic complementary based on utility function of carryover stage[J]. Water resources protection, 2023, 39(6): 23-31, 62.
[2] CHEN X, FU Q, CHANG C P.What are the shocks of climate change on clean energy investment: a diversified exploration[J]. Energy economics, 2021, 95: 105136.
[3] 赵志鹏, 于志辉, 程春田, 等. 水风光综合基地多风险量化及长期多目标协调优化调度方法[J]. 电力系统自动化, 2024, 48(22): 118-130.
ZHAO Z P, YU Z H, CHENG C T, et al.Multi-risk quantification and long-term multi-objective coordinative optimal dispatch method for hydro-wind-solar integrated energy base[J]. Automation of electric power systems, 2024, 48(22): 118-130.
[4] 明波, 郭肖茹, 程龙, 等. 大型水电与光伏互补运行的并网优先级研究[J]. 水利学报, 2023, 54(11): 1287-1297, 1308.
MING B, GUO X R, CHENG L, et al.Grid integration priority of large-scale photovoltaic power and hydropower within a hybrid generation system[J]. Journal of hydraulic engineering, 2023, 54(11): 1287-1297, 1308.
[5] 符芳明, 钟平安, 徐斌, 等. 金沙江下游与三峡梯级水库群协同消落方式研究[J]. 南水北调与水利科技, 2016, 14(4): 29-35.
FU F M, ZHONG P A XU B, et al. Synergetic method of dry season operation in downstream Jinsha River and Three Gorges cascade reservoirs[J]. South-to-north water transfers and water science & technology, 2016, 14(4): 29-35.
[6] 谢俊, 鲍正风, 曹辉, 等. 金沙江下游水风光储联合调度技术研究与展望[J]. 人民长江, 2022, 53(11): 193-202.
XIE J, BAO Z F, CAO H, et al.Research and prospects on joint dispatching technology of hydro-wind-solar-storage in lower reaches of Jinsha River[J]. Yangtze river, 2022, 53(11): 193-202.
[7] LI J D, LUO G J, LI T Y, et al.Impact on traditional hydropower under a multi-energy complementary operation scheme: an illustrative case of a ‘wind-photovoltaic-cascaded hydropower plants’ system[J]. Energy strategy reviews, 2023, 49: 101181.
[8] 申建建, 王月, 程春田, 等. 水风光互补系统灵活性需求量化及协调优化模型[J]. 水利学报, 2022, 53(11): 1291-1303.
SHEN J J, WANG Y, CHENG C T, et al.Flexibility demand quantification and optimal operation model of water-wind-solar complementary system[J]. Journal of hydraulic engineering, 2022, 53(11): 1291-1303.
[9] WANG X P, ZHANG Z M, GUO Z H, et al.Energy structure transformation in the context of carbon neutralization: evolutionary game analysis based on inclusive development of coal and clean energy[J]. Journal of cleaner production, 2023, 398: 136626.
[10] XU B, ZHU F L, ZHONG P G, et al.Identifying long-term effects of using hydropower to complement wind power uncertainty through stochastic programming[J]. Applied energy, 2019, 253: 113535.
[11] 卢佳, 李刚, 程春田, 等. 考虑多种变量不确定性的梯级水电站中期调度及交易决策方法[J]. 电力自动化设备, 2021, 41(9): 199-205.
LU J, LI G, CHENG C T, et al.Medium-term dispatching and trading decision method of cascaded hydropower stations considering uncertainty of multiple variables[J]. Electric power automation equipment, 2021, 41(9): 199-205.
[12] ZHANG Y S, LIAN J J, MA C, et al.Optimal sizing of the grid-connected hybrid system integrating hydropower, photovoltaic, and wind considering cascade reservoir connection and photovoltaic-wind complementarity[J]. Journal of cleaner production, 2020, 274: 123100.
[13] 李竹, 宋莉, 于松泰, 等. 促进可再生能源市场化的省内中长期运行策略研究[J]. 太阳能学报, 2023, 44(2): 317-325.
LI Z, SONG L, YU S T, et al.Research on medium and long-term operation strategy of promoting marketization of renewable energy in province[J]. Acta energiae solaris sinica, 2023, 44(2): 317-325.
[14] LIU B X, LUND J R, LIAO S L, et al.Optimal power peak shaving using hydropower to complement wind and solar power uncertainty[J]. Energy conversion and management, 2020, 209: 112628.
[15] 李青春, 徐君威, 张绍强, 等. 计及新能源波动平抑的储能电站日前-实时运行决策[J]. 太阳能学报, 2025, 46(3): 43-53.
LI Q C, XU J W, ZHANG S Q, et al.Decision for day-ahead and real-time operation of energy storage plants considering smoothing of new energy fluctuations[J]. Acta energiae solaris sinica, 2025, 46(3): 43-53.
[16] WEN X, SUN Y L, TAN Q F, et al.Optimizing the sizes of wind and photovoltaic plants complementarily operating with cascade hydropower stations: balancing risk and benefit[J]. Applied energy, 2022, 306: 117968.
[17] CHEN C Y, LIU H L, XIAO Y, et al.Power generation scheduling for a hydro-wind-solar hybrid system: a systematic survey and prospect[J]. Energies, 2022, 15(22): 8747.
[18] 杨茂, 鞠超毅, 张薇, 等. 基于波动信息优选及切换输入机制的短期延长期风电集群功率预测[J]. 太阳能学报, 2025, 46(3): 546-558.
YANG M, JU C Y, ZHANG W, et al.Power forecast of wind power cluster in short-term extension based on fluctuation information optimization and switching input mechanism[J]. Acta energiae solaris sinica, 2025, 46(3): 546-558.
[19] 谭乔凤, 聂状, 闻昕, 等. 大规模风光接入下梯级水电站调度方式研究[J]. 水力发电学报, 2022, 41(9): 44-55.
TAN Q F, NIE Z, WEN X, et al.Operation modes of cascade hydropower stations considering large-scale integration of wind and photovoltaic power[J]. Journal of hydroelectric engineering, 2022, 41(9): 44-55.
[20] 冯晨, 常高松, 陶湘明, 等. 多时间尺度嵌套的梯级水电可承载风光资源规模研究[J]. 中国农村水利水电, 2024(2): 44-51.
FENG C, CHANG G S, TAO X M, et al.Research on the scale of wind and photovoltaic resources that can be carried by cascaded hydropower with multiple time scales nested[J]. China rural water and hydropower, 2024(2): 44-51.
[21] 黄显峰, 鲜于虎成, 许昌, 等. 考虑短期互补的水光发电系统中长期优化调度[J]. 水力发电学报, 2022, 41(11): 68-78.
HUANG X F, XIANYU H C, XU C, et al.Medium-and long-term optimal scheduling of hydro-solar power system considering short-term complementation[J]. Journal of hydroelectric engineering, 2022, 41(11): 68-78.
[22] WANG D H, PENG D G, HUANG D M, et al.Research on short-term and mid-long term optimal dispatch of multi-energy complementary power generation system[J]. IET renewable power generation, 2022, 16(7): 1354-1367.
[23] LIU Z Q, CUI Y P, WANG J Q, et al.Multi-objective optimization of multi-energy complementary integrated energy systems considering load prediction and renewable energy production uncertainties[J]. Energy, 2022, 254: 124399.
[24] HUANG K D, LUO P, LIU P, et al.Improving complementarity of a hybrid renewable energy system to meet load demand by using hydropower regulation ability[J]. Energy, 2022, 248: 123535.
[25] JIANG J H, MING B, LIU P, et al.Refining long-term operation of large hydro-photovoltaic-wind hybrid systems by nesting response functions[J]. Renewable energy, 2023, 204: 359-371.
[26] DING Z Y, WEN X, TAN Q F, et al.A forecast-driven decision-making model for long-term operation of a hydro-wind-photovoltaic hybrid system[J]. Applied energy, 2021, 291: 116820.
[27] 鲜于虎成, 黄显峰, 张艳青, 等. 考虑短期波动与弃电风险的水光互补系统中长期双层嵌套优化调度[J]. 电工技术学报, 2023, 38(21): 5781-5793.
XIANYU H C, HUANG X F, ZHANG Y Q, et al.Medium-and long-term double-layer nested optimal scheduling of hydro-PV complementary system considering short-term power fluctuation and curtailment risk[J]. Transactions of China Electrotechnical Society, 2023, 38(21): 5781-5793.
[28] 夏依莎, 刘俊勇, 刘继春, 等. 奖罚机制下的互补发电系统中长期与日前嵌套鲁棒优化调度模型[J]. 电网技术, 2021, 45(10): 3813-3822.
XIA Y S, LIU J Y, LIU J C, et al.Medium long-term and day-ahead nested robust optimal scheduling for complementary power generation systems under reward-punishment mechanism[J]. Power system technology, 2021, 45(10): 3813-3822.
[29] ZHANG Y S, MA C, YANG Y, et al.Study on short-term optimal operation of cascade hydro-photovoltaic hybrid systems[J]. Applied energy, 2021, 291: 116828.
[30] LU N, WANG G Y, SU C G, et al.Medium-and long-term interval optimal scheduling of cascade hydropower-photovoltaic complementary systems considering multiple uncertainties[J]. Applied energy, 2024, 353: 122085.
[31] REN Y, YAO X H, LIU D, et al.Optimal design of hydro-wind-PV multi-energy complementary systems considering smooth power output[J]. Sustainable energy technologies and assessments, 2022, 50: 101832.
[32] 谢雨祚, 郭生练, 钟斯睿, 等. 金沙江下游梯级水库发电出力区间优化研究[J]. 武汉大学学报(工学版), 2024, 57(3): 267-276.
XIE Y Z, GUO S L, ZHONG S R, et al.Research on optimization of power output intervals of the cascade reservoirs in the lower reaches of Jinsha River[J]. Engineering journal of Wuhan University, 2024, 57(3): 267-276.
[33] 曹辉, 李天鸷, 卢佳, 等. 金沙江下游水风光多能互补规模计算模型研究[J]. 水利水电快报, 2022, 43(10): 61-72.
CAO H, LI T Z, LU J, et al.Study on scale calculation model of hydro-wind-solar-storage multi energy complementarity in lower reaches of Jinsha River[J]. Express water resources & hydropower information, 2022, 43(10): 61-72.
[34] 田露, 明波, 张玮, 等. 金沙江下游水风光资源多时间尺度互补性分析[J]. 水力发电学报, 2023, 42(10): 40-49.
TIAN L, MING B, ZHANG W, et al.Multi-time scale complementarity analysis of hydropower, wind power and photoelectric resources in lower reaches of Jinsha River[J]. Journal of hydroelectric engineering, 2023, 42(10): 40-49.
[35] 张玮, 郭怿, 黄康迪, 等. 多直流外送通道下水风光一体化日前风险调度[J]. 水电能源科学, 2024, 42(5): 207-211, 216.
ZHANG W, GUO Y, HUANG K D, et al.Day-ahead scheduling of hydro-wind-solar integrated system through multiple DC transmission channels[J]. Water resources and power, 2024, 42(5): 207-211, 216.