Mid-term Scheduling Method for Basin Hydro-Wind-Solar System Coupled with Intraday Load Characteristics of Multiple Receiving Ends

WANG Yue; SHEN Jianjian; HAO Tingjie; YAN Junping

doi:10.7500/AEPS20250103001

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Mid-term Scheduling Method for Basin Hydro-Wind-Solar System Coupled with Intraday Load Characteristics of Multiple Receiving Ends

Application Research | 更新时间：2026-02-28

- Mid-term Scheduling Method for Basin Hydro-Wind-Solar System Coupled with Intraday Load Characteristics of Multiple Receiving Ends
- Automation of Electric Power Systems Vol. 49, Issue 19, Pages: 174-184(2025)
- 作者机构：
  
  大连理工大学建设工程学院，辽宁省大连市 116024
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(U23A20667)
- DOI：10.7500/AEPS20250103001
  CLC：
- Received：03 January 2025，
  
  Revised：2025-04-30，
  
  Online First：18 June 2025，
  
  Published：10 October 2025
- 稿件说明：
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王月,申建建,郝婷洁等.耦合多受端日内负荷特征的流域水风光系统中期调度方法[J].电力系统自动化,2025,49(19):174-184.

WANG Yue,SHEN Jianjian,HAO Tingjie,et al.Mid-term Scheduling Method for Basin Hydro-Wind-Solar System Coupled with Intraday Load Characteristics of Multiple Receiving Ends[J].Automation of Electric Power Systems,2025,49(19):174-184.
王月,申建建,郝婷洁等.耦合多受端日内负荷特征的流域水风光系统中期调度方法[J].电力系统自动化,2025,49(19):174-184. DOI： 10.7500/AEPS20250103001.

WANG Yue,SHEN Jianjian,HAO Tingjie,et al.Mid-term Scheduling Method for Basin Hydro-Wind-Solar System Coupled with Intraday Load Characteristics of Multiple Receiving Ends[J].Automation of Electric Power Systems,2025,49(19):174-184. DOI： 10.7500/AEPS20250103001.

摘要

流域水风光清洁能源基地需要跨区域送电多个省（市），但省级电网间迥异负荷特征和新能源连续多日极端高出力极易导致调峰失衡甚至整体调节困难，产生弃电风险。针对上述问题，提出耦合多受端日内负荷特征的流域水风光系统中期调度方法。首先，构建峰平谷时段划分模型，采用变步长搜索策略进行求解，集成5种负荷特征指标以准确描述多受端电网的差异负荷特征，并以特征指标差异最小为原则建立受端负荷需求重构模型；然后，构建发电量最大和送电偏差最小多目标中短期嵌套调度模型，以确定多日送电量和日内送电计划；最后，依托中国西南大型水风光基地及其送电七省（市）实际工程，通过枯、汛期风光新能源连续多日极端高出力这两种极端场景分析，论证了所提方法对响应受端负荷特征和减少弃电量的有效性。

Abstract

The basin hydro-wind-solar clean energy base requires cross-regional power transmission to multiple provinces (municipalities). However

various load characteristics among provincial power grids and the continuous extremely high output of renewable energy for several days can easily lead to imbalanced peak shaving and even systemic regulation difficulties

resulting in the risk of power curtailment. To address these issues

a mid-term scheduling method is proposed for basin hydro-wind-solar systems coupled with intraday load characteristics of multiple receiving ends. First

a peak-flat-valley time division model is constructed and solved by using a variable-step search strategy. Five load characteristic indicators are integrated to accurately describe the divergent load characteristics of power grids with multiple receiving ends. A load demand reconstruction model at the receiving end is then established based on the principle of minimizing differences in characteristic indicators. Secondly

a multi-objective short-mid-term nested scheduling model is developed to maximize power generation while minimizing power deviation

determining both multi-day power delivery targets and intraday transmission schedules. Finally

leveraging the practical project from a large-scale hydro-wind-solar base in Southwest China and its seven receiving provinces (municipalities)

the proposed method is validated through the analysis of two extreme scenarios of continuous extremely high output of wind-solar energy for several days during dry and flood seasons. The effectiveness of the proposed method in responding to load characteristics at the receiving end and reducing power curtailment is validated.

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references

国家能源局 . “十四五”可再生能源发展规划［EB/OL］.［ 2024-06-01 ］. https：//www.ndrc.gov.cn/xxgk/zcfb/ghwb/202206/P020220601501054858882.pdf https://www.ndrc.gov.cn/xxgk/zcfb/ghwb/202206/P020220601501054858882.pdf .

National Energy Administration . The 14th Five-year development plan of renewable energy ［EB/OL］. ［ 2024-06-01 ］. https：//www.ndrc.gov.cn/xxgk/zcfb/ghwb/202206/P020220601501054858882.pdf https://www.ndrc.gov.cn/xxgk/zcfb/ghwb/202206/P020220601501054858882.pdf .

程雄，程春田，申建建，等 . 大规模跨区特高压直流水电网省两级协调优化方法［J］. 电力系统自动化， 2015 ， 39 （ 1 ）： 151 - 158 .

CHENG Xiong ， CHENG Chuntian ， SHEN Jianjian ， et al . Coordination and optimization methods for large-scale trans-regional hydropower transmission via UHVDC in regional and provincial power grids ［J］. Automation of Electric Power Systems ， 2015 ， 39 （ 1 ）： 151 - 158 .

申建建，王月，程春田，等 . 水风光多能互补发电调度问题研究现状及展望［J］. 中国电机工程学报， 2022 ， 42 （ 11 ）： 3871 - 3885 .

SHEN Jianjian ， WANG Yue ， CHENG Chuntian ， et al . Research status and prospect of generation scheduling for hydropower-wind-solar energy complementary system ［J］. Proceedings of the CSEE ， 2022 ， 42 （ 11 ）： 3871 - 3885 .

SHI Q L ， YANG P ， TANG B ， et al . Active distribution network type identification method of high proportion new energy power system based on source-load matching ［J］. International Journal of Electrical Power & Energy Systems ， 2023 ， 153 ： 109411 .

ZHAO L Y ， ZHAO G ， GUO Y K ， et al . A coupled resonator decoupling network with source-load coupling for antennas of the same band and in adjacent bands ［J］. IEEE Transactions on Microwave Theory and Techniques ， 2024 ， 72 （ 5 ）： 3172 - 3184 .

LU L ， YUAN W L ， SU C G ， et al . Optimization model for the short-term joint operation of a grid-connected wind-photovoltaic-hydro hybrid energy system with cascade hydropower plants ［J］. Energy Conversion and Management ， 2021 ， 236 ： 114055 .

ZHOU Y Z ， ZHAO J X ， ZHAI Q Z . 100% renewable energy： a multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power ［J］. Applied Energy ， 2021 ， 301 ： 117441 .

XIONG H L ， EGUSQUIZA M ， ALBERG ØSTERGAARD P ， et al . Multi-objective optimization of a hydro-wind-photovoltaic power complementary plant with a vibration avoidance strategy ［J］. Applied Energy ， 2021 ， 301 ： 117459 .

HUANG K D ， LIU P ， MING B ， et al . Economic operation of a wind-solar-hydro complementary system considering risks of output shortage， power curtailment and spilled water ［J］. Applied Energy ， 2021 ， 290 ： 116805 .

张鹏飞，马超，李时雨 . 混合抽蓄-风-光多能互补系统容量配置研究［J］. 水力发电学报， 2024 ， 43 （ 10 ）： 1 - 16 .

ZHANG Pengfei ， MA Chao ， LI Shiyu . Study on capacity design for hybrid pumped storage-windphotovoltaic multi-energy complementary system ［J］. Journal of Hydroelectric Engineering ， 2024 ， 43 （ 10 ）： 1 - 16 .

WANG P ， MA Y W ， LING Z Q ， et al . Peak-valley period partition and abnormal time correction for time-of-use tariffs under daily load curves based on improved fuzzy c -means ［J］. IET Generation ， Transmission & Distribution， 2023 ， 17 （ 24 ）： 5396 - 5409 .

YANG H J ， GAO Y ， MA Y H ， et al . Optimal modification of peak-valley period under multiple time-of-use schemes based on dynamic load point method considering reliability ［J］. IEEE Transactions on Power Systems ， 2022 ， 37 （ 5 ）： 3889 - 3901 .

WAN Q Z ， YU Y . Power load pattern recognition algorithm based on characteristic index dimension reduction and improved entropy weight method ［J］. Energy Reports ， 2020 ， 6 ： 797 - 806 .

SI C ， XU S L ， WAN C ， et al . Electric load clustering in smart grid： methodologies， applications， and future trends ［J］. Journal of Modern Power Systems and Clean Energy ， 2021 ， 9 （ 2 ）： 237 - 252 .

陈仕军，许唯临，陈作强，等 . 面向航运的金沙江下游水库群中长期多目标协同调度研究［J/OL］. 工程科学与技术［ 2024-05-16 ］. https：//kns.cnki.net/kcms/detail/51.1773.tb.20240515.1351.005.html https://kns.cnki.net/kcms/detail/51.1773.tb.20240515.1351.005.html .

CHEN Shijun ， XU Weilin ， CHEN Zuoqiang ， et al . Study on medium-and long term multi objective collaborative scheduling of the reservoirs group in the lower reaches of the Jinsha River for navigation ［J/OL］. Advanced Engineering Sciences ［ 2024-05-16 ］. https：//kns.cnki.net/kcms/detail/51.1773.tb.20240515.1351.005.html https://kns.cnki.net/kcms/detail/51.1773.tb.20240515.1351.005.html .

LIU W F ， ZHU F L ， ZHAO T ， et al . Optimal stochastic scheduling of hydropower-based compensation for combined wind and photovoltaic power outputs ［J］. Applied Energy ， 2020 ， 276 ： 115501 .

ZHANG Q Y ， XIE J ， PAN X P ， et al . A short-term optimal scheduling model for wind-solar-hydro-thermal complementary generation system considering dynamic frequency response ［J］. IEEE Access ， 2021 ， 9 ： 142768 - 142781 .

LI Y ， MING B ， HUANG Q ， et al . Identifying effective operating rules for large hydro-solar-wind hybrid systems based on an implicit stochastic optimization framework ［J］. Energy ， 2022 ， 245 ： 123260 .

MING B ， LIU P ， GUO S L ， et al . Hydropower reservoir reoperation to adapt to large-scale photovoltaic power generation ［J］. Energy ， 2019 ， 179 ： 268 - 279 .

DE SOUZA NASCIMENTO M M ， SHADMAN M ， SILVA C ， et al . Offshore wind and solar complementarity in Brazil： a theoretical and technical potential assessment ［J］. Energy Conversion and Management ， 2022 ， 270 ： 116194 .

朱燕梅，陈仕军，马光文，等 . 计及发电量和出力波动的水光互补短期调度［J］. 电工技术学报， 2020 ， 35 （ 13 ）： 2769 - 2779 .

ZHU Yanmei ， CHEN Shijun ， MA Guangwen ， et al . Short-term complementary operation of hydro-photovoltaic integrated system considering power generation and output fluctuation ［J］. Transactions of China Electrotechnical Society ， 2020 ， 35 （ 13 ）： 2769 - 2779 .

GUO Y ， MING B ， HUANG Q ， et al . Risk-averse day-ahead generation scheduling of hydro-wind-photovoltaic complementary systems considering the steady requirement of power delivery ［J］. Applied Energy ， 2022 ， 309 ： 118467 .

明波，李研，刘攀，等 . 嵌套短期弃电风险的水光互补中长期优化调度研究［J］. 水利学报， 2021 ， 52 （ 6 ）： 712 - 722 .

MING Bo ， LI Yan ， LIU Pan ， et al . Long-term optimal operation of hydro-solar hybrid energy systems nested with short-term energy curtailment risk ［J］. Journal of Hydraulic Engineering ， 2021 ， 52 （ 6 ）： 712 - 722 .

谢俊，段佳南 . 基于合作博弈的风-光-水互补发电系统保证容量分配策略［J］. 电力系统自动化， 2023 ， 47 （ 21 ）： 79 - 88 .

XIE Jun ， DUAN Jianan . Firm generation capacity allocation strategy of wind-solar-hydro complementary generation system based on cooperative game ［J］. Automation of Electric Power Systems ， 2023 ， 47 （ 21 ）： 79 - 88 .

郭爱军，畅建霞，王义民，等 . 含混合式抽蓄的梯级水电站短期临界调峰模式［J］. 水利学报， 2024 ， 55 （ 10 ）： 1210 - 1220 .

GUO Aijun ， CHANG Jianxia ， WANG Yimin ， et al . Short-term critical peak-shaving mode of cascade hydropower plants with on-stream integral pumped storage hydropower plant ［J］. Journal of Hydraulic Engineering ， 2024 ， 55 （ 10 ）： 1210 - 1220 .

苏承国，申建建，王沛霖，等 . 基于电源灵活性裕度的含风电电力系统多源协调调度方法［J］. 电力系统自动化， 2018 ， 42 （ 17 ）： 111 - 119 .

SU Chengguo ， SHEN Jianjian ， WANG Peilin ， et al . Coordinated dispatching method for wind-turbine-integrated power system with multi-type power sources based on power flexibility margin ［J］. Automation of Electric Power Systems ， 2018 ， 42 （ 17 ）： 111 - 119 .

GROCHOWICZ A ， VAN GREEVENBROEK K ， BLOOMFIELD H C . Using power system modelling outputs to identify weather-induced extreme events in highly renewable systems ［J］. Environmental Research Letters ， 2024 ， 19 （ 5 ）： 054038 .

张俊涛，程春田，曹辉，等 . 巨型梯级水电站对电网新能源极端波动的防御能力分析方法［J］. 电力系统自动化， 2025 ， 49 （ 4 ）： 53 - 64 .

ZHANG Juntao ， CHENG Chuntian ， CAO Hui ， et al . Analytical method for defense capability of large-scale cascade hydropower stations against extreme fluctuations of renewable energy in power grid ［J］. Automation of Electric Power Systems ， 2025 ， 49 （ 4 ）： 53 - 64 .

QIN Z J ， CHEN X W ， HOU Y H ， et al . Coordination of preventive， emergency and restorative dispatch in extreme weather events ［J］. IEEE Transactions on Power Systems ， 2022 ， 37 （ 4 ）： 2624 - 2638 .

CAI X M ， QIN Z J ， HOU Y H . Improving wind power utilisation under stormy weather condition by risk-limiting unit commitment ［J］. IET Renewable Power Generation ， 2018 ， 12 （ 15 ）： 1778 - 1785 .

曲凯，李湃，黄越辉，等 . 面向新能源消纳能力评估的年负荷序列建模及场景生成方法［J］. 电力系统自动化， 2021 ， 45 （ 1 ）： 123 - 131 .

QU Kai ， LI Pai ， HUANG Yuehui ， et al . Modeling and scenario generation method of annual load series for evaluation of renewable energy accommodation capacity ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 1 ）： 123 - 131 .

宋军英，何聪，李欣然，等 . 基于特征指标降维及熵权法的日负荷曲线聚类方法［J］. 电力系统自动化， 2019 ， 43 （ 20 ）： 65 - 72 .

SONG Junying ， HE Cong ， LI Xinran ， et al . Daily load curve clustering method based on feature index dimension reduction and entropy weight method ［J］. Automation of Electric Power Systems ， 2019 ， 43 （ 20 ）： 65 - 72 .

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 .

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