适应新能源消纳的水电站群中长期调度优化

潘航; 明波; 周恒; 郭怿; 黄强; 于淼

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

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

适应新能源消纳的水电站群中长期调度优化

更新时间：2026-02-06

- 适应新能源消纳的水电站群中长期调度优化
- Vol. 47, Issue 1, Pages: 334-344(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1625
  CLC： TV697
- Online First：05 February 2026，
  
  Published：05 February 2026
- 稿件说明：
移动端阅览
潘航, 明波, 周恒, et al. 适应新能源消纳的水电站群中长期调度优化[J]. 2026, 47(1): 334-344.
DOI：

潘航, 明波, 周恒, et al. 适应新能源消纳的水电站群中长期调度优化[J]. 2026, 47(1): 334-344. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1625.

摘要

提出风光新能源接入大水电基地下梯级水电站群中长期调度方法。基于优化的典型输电功率曲线

以水库日平均实际下泄流量为边界

开展水风光互补小时尺度的长系列运行调度模拟

进而提取新能源弃电率与水电出力的响应函数

再将其嵌入水风光互补中长期调度模型中

采用模拟-优化方法推求适应性调度规则。以某清洁能源基地为实例

结果表明：随着水电出力的增加

弃电率先下降后抬升

水电出力在适中范围内可使得风光弃电率较小;相比于常规调度

单纯优化水电运行方式可降低风光弃电率3.71%

系统总发电量提升1.74%;嵌套响应函数的互补运行优化使得风光弃电率下降7.68%

系统总发电量提高2.15%。因此

所提方法可进一步挖掘水电灵活性

协调水电与新能源的互补关系

进而提升水风光互补系统整体互补效能。

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.

关键词

Keywords

references

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

考虑新能源功率波动的静态电压稳定边界直接算法

考虑混合型新能源场站接入的送端电网频率特性分析

新能源场站电化学储能暂态能量支撑优化控制模型

不确定因素下基于主从博弈的电动汽车参与综合能源系统优化调度

计及多类型储能全寿期动态投资归算的高占比新能源系统爬坡灵活性协同规划

Related Author

李安然

张祥宇

邵冲

祁莹

刘文飞

徐宏雷

谢映洲

金永盛

Related Institution

Fujian Smart Electrical Engineering Technology Research Center

College of Electrical Engineering and Automation, Fuzhou University

College of Energy and Mechanical Engineering, Shanghai University of Electric Power

School of Mechanical and Power Engineering, Jiangsu Organic Solid Waste Deep Disposal and Hydrogen Production Engineering Research Center,Jiangsu Key Laboratory of Process Enhancement and New Energy Equipment Technology, Nanjing Tech University

School of Electrical and Electronic Engineering, North China Electric Power University

AI问答

⁰