Short-term Optimal Scheduling Method for Watershed Hydro-Solar-Wind Power Bases under AC-DC Hybrid Transmission Mode

SU Huaying; LIU Jiayan; CHEN Long; DENG Jiali; ZHANG Juntao; CHENG Chuntian

doi:10.3969/j.issn.1001-9235.2026.06.012

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Short-term Optimal Scheduling Method for Watershed Hydro-Solar-Wind Power Bases under AC-DC Hybrid Transmission Mode

更新时间：2026-06-30

- Short-term Optimal Scheduling Method for Watershed Hydro-Solar-Wind Power Bases under AC-DC Hybrid Transmission Mode
- PEARL RIVER Vol. 47, Issue 6, Pages: 133-144(2026)
- 作者机构：
  
  1.贵州电网有限责任公司电力调度控制中心，贵州贵阳 550002
  2.大连理工大学水电与水信息研究所，辽宁大连 116024
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1001-9235.2026.06.012
  CLC： TV7
- Received：06 November 2025，
  
  Revised：2025-12-26，
  
  Accepted：14 January 2026，
  
  Online First：12 February 2026，
  
  Published：25 June 2026
- 稿件说明：
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苏华英，刘珈言，陈龙，等.交直流混合外送模式下流域水风光电源基地短期优化调度方法［J］.人民珠江，2026，47（6）：133-144.

SU Huaying,LIU Jiayan,CHEN Long,et al.Short-term Optimal Scheduling Method for Watershed Hydro-Solar-Wind Power Bases under AC-DC Hybrid Transmission Mode[J].PEARL RIVER,2026,47(06):133-144.
苏华英，刘珈言，陈龙，等.交直流混合外送模式下流域水风光电源基地短期优化调度方法［J］.人民珠江，2026，47（6）：133-144. DOI： 10.3969/j.issn.1001-9235.2026.06.012.

SU Huaying,LIU Jiayan,CHEN Long,et al.Short-term Optimal Scheduling Method for Watershed Hydro-Solar-Wind Power Bases under AC-DC Hybrid Transmission Mode[J].PEARL RIVER,2026,47(06):133-144. DOI： 10.3969/j.issn.1001-9235.2026.06.012.

摘要

为解决多受端交直流混合外送场景下水风光基地的调度难题，针对新能源出力不确定性、交直流受端电力分配矛盾、上下游调度协调复杂等核心问题，提出面向交直流混联外送的流域水风光电源基地短期优化调度方法。时间上，按照实际调度需求，考虑到汛枯期来水条件、系统运行存在差异，设置不同的目标函数；空间上，考虑梯级水力联系，上下游协同运行约束；此外，模型综合考虑水电分电比例、直流阶梯化功率、水电备用等约束条件，确保电力计划曲线满足实际应用需求。西南某千万千瓦级流域基地实例应用表明：该电力分配方法可精准匹配多受端需求，将电力在交直流受端之间进行分配，枯期使交流受端电网剩余负荷峰谷差降低36%，汛期减少下游电站弃电5.56亿kW·h，为多受端水风光一体化基地的高效调度与工程实践提供理论支撑。

Abstract

To address the increasingly prominent scheduling challenges of large-scale watershed Hydro-Solar-Wind (HSW) generation bases under multi-terminal AC-DC hybrid transmission scenarios

this study proposes a short-term optimal scheduling method for watershed HSW generation bases oriented toward AC-DC hybrid delivery. This method specifically addresses three core technical bottlenecks in practical operation: the strong uncertainty of wind-solar renewable energy output induced by meteorological factor fluctuations

the intense contradiction in power distribution between AC and DC receiving terminals arising from differences in load characteristics and grid operation constraints

and the complexities in upstream-downstream scheduling coordination caused by the intricate cascade hydrological and hydraulic connections of watershed power stations. With the rapid advancement of renewable energy grid integration and the continuous expansion of cross-regional power transmission projects

the safe and efficient operation of multi-terminal AC-DC hybrid transmission systems has become a key bottleneck restricting the accommodation of large-scale HSW generation bases

rendering the development of targeted optimal scheduling methods an urgent practical need. Temporally

to adapt to significant hydrological and operational discrepancies between flood and dry seasons

the proposed method formulates differentiated objective functions in line with actual scheduling requirements. During the dry season

the core objective is to minimize the sum of squares of residual load in the AC receiving terminal grid

thereby enhancing the stability of the receiving-end power system; during the flood season

the core goal shifts to maximizing the total generated power for better economic benefits of the HSW base. Spatially

the method fully accounts for the strong cascade hydraulic connections between upstream and downstream hydropower stations

incorporating upstream-downstream coordinated operation constraints into the scheduling model. Distinct from the traditional independent scheduling mode where each power station formulates scheduling plans separately

this approach ensures that the scheduling decisions of each power station are mutually compatible and globally optimal

giving full play to the operational benefits of individual power stations through integrated scheduling. In addition

to enhance the practical applicability and reliability of the scheduling model

this study comprehensively incorporates a series of key operational constraints. These include the fixed hydropower allocation ratio between AC and DC transmission channels specified in grid planning

the stepped power constraints of DC systems to guarantee the stable operation of converter stations

and the hydropower reserve constraints designed to cope with sudden fluctuations in renewable energy output and unexpected load variations. These constraints ensure the direct applicability of the optimized generation scheduling curve in engineering practice. An application study was performed on a 10-million-kilowatt-level watershed HSW generation base in Southwest China

which serves as a typical representative of multi-terminal AC-DC hybrid transmission projects. The application results demonstrate that the proposed power distribution method can accurately match the demand characteristics of multiple receiving terminals

flexibly achieve the optimal distribution of power from the HSW generation base between AC and DC receiving terminals

and satisfy the power supply and peak-shaving requirements of multiple receiving terminals. Specifically

during the dry season

the peak-valley difference of residual load in the AC receiving terminal grid is reduced by 36% compared with the original load

effectively mitigating the peak-shaving pressure of the receiving-end grid; during the flood season

the power curtailment of downstream power stations is reduced by 556 million kW·h

significantly improving the utilization efficiency of water resources and renewable energy. Meanwhile

a sensitivity analysis of the power allocation ratio and transmission channels was conducted. These results fully validate the effectiveness and superiority of the proposed method

which can provide important theoretical support and technical references for the efficient scheduling and engineering practice of multi-terminal integrated HSW generation bases under AC-DC hybrid transmission scenarios.

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references

程春田 . 碳中和下的水电角色重塑及其关键问题［J］. 电力系统自动化， 2021 ， 45 （ 16 ）： 29 - 36 .

CHENG C T . Function remolding of hydropower systems for carbon neutral and its key problems ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 16 ）： 29 - 36 . （in Chinese）

张金平，周强，赵龙，等 . 光热发电主动支撑电力系统能力研究现状及展望［J/OL］. 电网技术， 1 - 13 .

ZHANG J P ， ZHOU Q ， ZHAO L ， et al . Research Status and Prospects on Active Support Capability of Concentrated Solar Power ［J/OL］. Power System Technology ， 1 - 13 . （in Chinese）

ZHOU Y L ， ZHU Y X ， LUO Q ， et al . Optimizing pumped-storage power station operation for boosting power grid absorbability to renewable energy . Energy Conversion and Management ， 2024 ， 299 . DOI： 10.1016/j.enconman.2023.117827 http://dx.doi.org/10.1016/j.enconman.2023.117827 .

XU L ， FENG K ， LIN N ， et al . Resilience of renewable power systems under climate risks ［J］. Nature Reviews Electrical Engineering ， 2024 ， 1 ： 53 - 66 .

WANG J X ， CHEN L D ， TAN Z F ， et al . Inherent spatiotemporal uncertainty of renewable power in China ［J］. Nature Communication ， 2023 ， 14 （ 1 ）. DOI： 10.1038/S41467-023-40670-7 http://dx.doi.org/10.1038/S41467-023-40670-7 .

张俊涛，程春田，于申，等 . 水电支撑新型电力系统灵活性研究进展、挑战与展望［J］. 中国电机工程学报， 2024 ， 44 （ 10 ）： 3862 - 3885 .

ZHANG J T ， CHENG C T ， YU S ， et al . Research progress， challenges， and prospects of hydropower supporting flexibility in new power systems ［J］. Proceedings of the CSEE ， 2024 ， 44 （ 10 ）： 3862 - 3885 . （in Chinese）

LIN M K ， SHEN J J ， CHENG C T ， et al . Long-term multi-objective optimal scheduling for large cascaded hydro-wind-photovoltaic complementary systems considering short-term peak-shaving demands ［J］. Energy Conversion and Management ， 2024 . DOI： 10.1016/j.enconman. 2024. 118063 http://dx.doi.org/10.1016/j.enconman.2024.118063 .

CHENG W J ， ZHAO Z P ， CHENG C T ， et al . Optimizing peak shaving operation in hydro-dominated hybrid power systems with limited distributional information on renewable energy uncertainty ［J］. Renewable Energy ， 2024 （ 237 ）. DOI： 10.1016/j.renene. 2024.121776 http://dx.doi.org/10.1016/j.renene.2024.121776 .

梁双，王涉，徐辉 . 中国西电东送40年发展成效与政策建议［J］. 中国电力， 2024 ， 57 （ 11 ）： 88 - 93 .

LIANG S ， WANG S ， XU H . Development Achievements and Policy Suggestions of China's West to East Power Transmission for 40 Years ［J］. Electric Power ， 2024 ， 57 （ 11 ）： 88 - 93 . （in Chinese）

申建建，陈光泽，魏巍，等 . 耦合联动分析理论的多调峰指标水电短期调度模型［J］. 水利学报， 2021 ， 52 （ 8 ）： 936 - 947 .

SHEN J J ， CHEN G Z ， WEI W ， et al . Short-term optimal scheduling model with multiple peak shaving indexes based on linkage analysis ［J］. Journal of Hydraulic Engineering ， 2021 ， 52 （ 8 ）： 936 - 947 . （in Chinese）

黄馗，程瑞翔，胡甲秋，等 . 考虑电站调峰性能差异的短期精细化调度方法［J］. 人民珠江， 2024 ， 45 （ 1 ）： 139 - 145 .

HUANG K ， CHENG R X ， HU J Q ， et al . A refined short-term scheduling method considering the difference of peak-shaving performance of hydropower stations ［J］. Pearl River ， 2024 ， 45 （ 1 ）： 139 - 145 . （in Chinese）

ZHOU L ， CHENG C T ， LIAO S L ， et al . Multiobjective scheduling method for short-term peak shaving operation of cascade hydro plants ［J］. Journal of Water Resources Planning and Management ， 2020 （ 9 ）. DOI： 10.1016/（ASCE）WR.1943-5452.0001274 http://dx.doi.org/10.1016/（ASCE）WR.1943-5452.0001274 .

李树山，李崇浩，吴慧军，等 . 基于复杂约束归一化处理策略的梯级水电调峰方法［J］. 电网技术， 2023 ， 47 （ 9 ）： 3576 - 3586 .

LI S S ， LI C H ， WU H J ， et al . Peak shaving method of cascade hydropower stations based on normalization processing strategy with complex constraints ［J］. Power System Technology ， 2023 ， 47 （ 9 ）： 3576 - 3585 . （in Chinese）

程雄，陈庆宁，李咸善，等 . 响应调峰需求的中小型流域梯级电站短期调度方法［J］. 水利学报， 2023 ， 54 （ 2 ）： 159 - 171 .

CHENG X ， CHEN Q N ， LI X S ， et al . Short-term scheduling methods for peak load responding demand of cascade hydropower stations in small and medium-sized river basins ［J］. Journal of Hydraulic Engineering ， 2023 ， 54 （ 2 ）： 159 - 171 . （in Chinese）

FENG Z K ， NIU W J ， CHENG C T ， et al . Peak operation of hydropower system with parallel technique and progressive optimality algorithm ［J］. International Journal of Electrical Power and Energy Systems ， 2018 ， 94 ： 267 - 275 .

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 J J ， WANG Y ， CHENG C T ， 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 . （in Chinese）

ZHAO Z P ， YU Z H ， KANG Y X ， et al . Hydro-photovoltaic complementary dispatch based on active regulation of cascade hydropower considering multi-transmission channel constraints ［J］. Applied Energy ， 2025 （ 377 ）. DOI： 10.1016/j.aperergy. 2024.124573 http://dx.doi.org/10.1016/j.aperergy.2024.124573 .

王义民，刘世帆，李婷婷，等 . 雅砻江能源基地水风光互补短期调度运行模式对比研究［J］. 水利学报， 2023 ， 54 （ 4 ）： 439 - 450 ..

WANG Y M ， LIU S F ， LI T T ， et al . A comparative study on the short term operation modes of water-wind-solar energy complementary dispatching in Yalong River Energy Base ［J］. Journal of Hydraulic Engineering ， 2023 ， 54 （ 4 ）： 439 - 450 . （in Chinese）

周彬彬，张聪通，刘本希，等 . 兼顾本地与直流受端电网调峰需求的水电站群短期优化调度模型［J］. 人民珠江， 2024 ， 45 （ 3 ）： 120 - 130，145 . doi: 10.3969/j.issn.1001-9235.2024.03.013 http://dx.doi.org/10.3969/j.issn.1001-9235.2024.03.013

ZHOU B B ， ZHANG C T ， LIU B X ， et al . Short-Term Optimal Scheduling Model for Hydropower Stations Considering Peak Shaving of Local and HVDC Receiving Power Grids ［J］. Pearl River ， 2024 ， 45 （ 3 ）： 120 - 130，145 . （in Chinese）

WANG P L ， YUAN W L ， SU C G ， et al . Short-term optimal scheduling of cascade hydropower plants shaving peak load for multiple power grids ［J］. Renewable Energy ， 2022 ， 184 （ C ）： 68 - 79 .

卢鹏，周建中，莫莉，等 . 梯级水电站群多电网调峰调度及电力跨省区协调分配方法［J］. 电网技术， 2016 ， 40 （ 9 ）： 2721 - 2728 .

LU P ， ZHOU J Z ， MO L ， et al . Method of peakoperation and electric power inter-provincial coordinateddistribution for cascade hydropower plants among multiple powergrids ［J］. Power System Technology ， 2016 ， 40 （ 9 ）： 2721 - 2728 . （in Chinese）

钟儒鸿，程春田，廖胜利，等 . 兼顾多电网调峰与水电消纳的跨流域梯级水电站调度方法［J］. 电力系统自动化， 2021 ， 45 （ 14 ）： 114 - 122 .

ZHONG R H ， CHENG C T ， LIAO S L ， et al . Inter-basin scheduling method of cascaded hydropower plants considering multi-grid peak shaving and hydropower accommodation ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 14 ）： 114 - 122 . （in Chinese）

SHEN J J ， CHEN G Z ， CHENG C T ， et al . Modeling of Generation Scheduling for Multiple Provincial Power Grids Using Peak-Shaving Indexes ［J］. Journal of Water Resources Planning and Management ， 2021 ， 147 （ 9 ）： 112 - 130 .

张政，程春田，李泽宏，等 . 水电站群短期调峰优化模型目标函数比较研究［J］. 电网技术， 2021 ， 45 （ 9 ）： 3523 - 3533 ．

ZHANG Z ， CHENG C T ， LI Z H ， et al . Comparative study on objective functions of short-term peak shaving optimization models for hydropower stations ［J］. Power System Technology ， 2021 ， 45 （ 9 ）： 3523 - 3533 . （in Chinese）

张政，武新宇，程春田，等 . 复杂约束下梯级水电站短期厂网协调多目标MILP模型［J］. 电力系统自动化， 2021 ， 45 （ 21 ）： 197 - 205 .

ZHANG Z ， WU X Y ， CHENG C T ， et al . Multi objective mixed-integer linear programming model for short term coordination of power plants and power grid in cascaded hydropower station under complex constraints ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 21 ）： 197 - 205 .

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