Medium- and long-term optimal scheduling method for inter-basin hydro-wind-photovoltaic complementary systems based on scenario generation with improved generative adversarial network

CUI Yichen; WANG He; WANG Lili; YIN Tao; HUANG Shansong

doi:10.11930/j.issn.1004-9649.202510031

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Medium- and long-term optimal scheduling method for inter-basin hydro-wind-photovoltaic complementary systems based on scenario generation with improved generative adversarial network

更新时间：2026-04-30

- Medium- and long-term optimal scheduling method for inter-basin hydro-wind-photovoltaic complementary systems based on scenario generation with improved generative adversarial network
- Vol. 59, Issue 4, Pages: 35-46(2026)
- 作者机构：
  
  1. 东北电力大学电气工程学院,吉林,吉林,132012
  2. 国网四川省电力公司,四川,成都,610041
- 作者简介：
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.202510031
  CLC：
- Online First：20 April 2026，
  
  Published：2026
- 稿件说明：
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崔一宸, 王鹤, 王莉丽, 银涛, 黄山松. 基于改进生成对抗网络场景生成的跨流域水风光互补中长期优化调度方法[J]. 中国电力, 2026, 59(4): 35-46.

CUI Yichen, WANG He, WANG Lili, et al. Medium- and long-term optimal scheduling method for inter-basin hydro-wind-photovoltaic complementary systems based on scenario generation with improved generative adversarial network[J]. 2026, 59(4): 35-46.
崔一宸, 王鹤, 王莉丽, 银涛, 黄山松. 基于改进生成对抗网络场景生成的跨流域水风光互补中长期优化调度方法[J]. 中国电力, 2026, 59(4): 35-46. DOI： 10.11930/j.issn.1004-9649.202510031.

CUI Yichen, WANG He, WANG Lili, et al. Medium- and long-term optimal scheduling method for inter-basin hydro-wind-photovoltaic complementary systems based on scenario generation with improved generative adversarial network[J]. 2026, 59(4): 35-46. DOI： 10.11930/j.issn.1004-9649.202510031.

摘要

随着风光渗透率的持续增长，如何应对其出力波动性与不确定性并制定合理的中长期调度策略已成为跨流域水风光互补系统高效运行面临的核心挑战。为此，首先提出一种考虑时空相关性的风光联合场景生成方法，通过改进Wasserstein生成对抗网络的网络结构，实现模型对风光出力时空耦合特征的分层提取，生成具有代表性的联合场景集；在此基础上，以互补系统消纳电量期望最大化、弃电与缺电量最小化及弃水损失最小化为目标，提出基于反馈调节的自适应权重确定方法以动态调整不同时段下各目标优先级，构建了跨流域水风光互补中长期多目标随机优化模型。以西南地区跨流域清洁能源基地为例进行仿真分析，结果表明，与常规方法相比，所提方法在兼顾流域水资源利用的同时提升了新能源消纳水平与系统供电可靠性，综合弃电率与缺电风险分别降低1.53个百分点和24.5%，实现了多目标间的协同优化与有效平衡。

Abstract

With the continuous increase of wind-solar penetration

how to address the volatility and uncertainty of their power output and formulate reasonable medium- and long-term scheduling strategies has become the core challenge for the efficient operation of inter-basin hydro-wind-solar hybrid systems. To this end

this study firstly proposes a wind-solar joint scenario generation method considering spatio-temporal correlation. By improving the network structure of the Wasserstein generative adversarial network (WGAN)

the model can hierarchically extract the spatio-temporal coupling characteristics of wind-solar power output

and generate a representative joint scenario set. On this basis

with the objectives of maximizing the expected energy consumption of the complementary system

minimizing the curtailment and power shortage

and minimizing the loss of spilled water

an adaptive weight determination method based on feedback regulation is proposed to dynamically adjust the priority of each objective in different time periods

and a medium- and long-term multi-objective stochastic optimization model for inter-basin hydro-wind-solar hybrid systems is constructed. A simulation analysis is carried out by taking an inter-basin clean energy base in the Southwest region as an example. The results show that

compared with conventional methods

the proposed method improves the consumption level of new energy and the power supply reliability of the system while considering the utilization of water resources in basins; the comprehensive power curtailment rate and power shortage risk are reduced by 1.53 percentage points and 24.5% respectively

achieving collaborative optimization and effective balance among multiple objectives.

关键词

Keywords

references

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