Research on Short-term Optimal Scheduling Strategy of Wind-PV- Thermal-BESS Considering Wind-PV Uncertainty

WANG Dejun; ZHANG Qiusheng; ZHU Runze; ZHANG Zihan; QIN Cuidi

doi:10.19805/j.cnki.jcspe.2026.250090

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Research on Short-term Optimal Scheduling Strategy of Wind-PV- Thermal-BESS Considering Wind-PV Uncertainty

更新时间：2026-06-11

- Research on Short-term Optimal Scheduling Strategy of Wind-PV- Thermal-BESS Considering Wind-PV Uncertainty
- Chinese Journal of Power Engineering Vol. 46, Issue 6, Pages: 70-80(2026)
- 作者机构：
  
  1. 国家能源集团新能源技术研究院有限公司,北京,102209
  2. 华北电力大学控制与计算机工程学院,北京,100096
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2026.250090
  CLC： TM732
- Published：2026
- 稿件说明：
移动端阅览
王德军, 张秋生, 朱润泽, 张子涵, 秦翠涤. 考虑风光出力不确定性的风光火储短期优化调度策略研究[J]. 动力工程学报, 2026, 46(6): 70-80.
王德军, 张秋生, 朱润泽, 张子涵, 秦翠涤. 考虑风光出力不确定性的风光火储短期优化调度策略研究[J]. 动力工程学报, 2026, 46(6): 70-80. DOI： 10.19805/j.cnki.jcspe.2026.250090.

DOI： 10.19805/j.cnki.jcspe.2026.250090

摘要

随着新能源大规模并网需求日益增长

风电与光伏出力的波动性与不确定性给电力系统运行带来严峻挑战。针对现有多能互补调度策略中动态性不足、场景适应性差的问题

提出了一种基于滚动权重更新的风光火储短期优化调度策略。通过构建多场景加权目标函数

结合动态权重调整机制

实现火电运行成本最小化与风光消纳最大化的协同优化。基于风光火储能源基地的仿真结果表明:所提策略在风光火储系统优化调度时兼顾了经济性与稳定性

在风光正常、大发及小发出力场景下

弃风成本降低1.16%~75.52%

系统运行总成本降低0.02%~2.78%。

Abstract

With the increasing integration of renewable energy into power systems

the volatility and uncertainty of wind and photovoltaic (Wind-PV) outputs pose significant challenges to power system operation. To address the problems of insufficient dynamic adaptability and scenario responsiveness in existing multi-energy complementary scheduling strategies

a short-term optimal scheduling strategy for wind-photovoltaic-thermal-battery energy storage system (Wind-PV-Thermal-BESS) based on rolling weight updates was proposed. By constructing a multi-scenario weighted objective function and incorporating a dynamic weight adjustment mechanism

the model achieves coordinated optimization of minimizing thermal power generation costs and maximizing Wind-PV energy utilization. Simulation results based on an actual energy base show that the proposed strategy takes into account both economy and stability in the optimal scheduling of Wind-PV-Thermal-BESS. Under the normal output

high-output and low-output Wind-PV scenarios

the wind curtailment costs and the total system operating costs are decreased by 1.16%-75.52% and 0.02%-2.78% respectively.

关键词

Keywords

references

袁铁江, 张文达. 新型电力系统源-储-荷协同规划研究综述[J]. 中国电机工程学报, 2025, 45(17): 6664-6682. YUAN Tiejiang, ZHANG Wenda. A review of research on source-storage-load coordinated planning for new power system[J]. Proceedings of the CSEE, 2025, 45(17): 6664-6682.

鲁宗相, 李海波, 乔颖. 含高比例可再生能源电力系统灵活性规划及挑战[J]. 电力系统自动化, 2016, 40(13): 147-158. LU Zongxiang, LI Haibo, QIAO Ying, et al. Power system flexibility planning and challenges considering high proportion of renewable energy[J]. Automation of Electric Power Systems, 2016, 40(13): 147-158.

黎静华, 谢育天, 曾鸿宇, 等. 不确定优化调度研究综述及其在新型电力系统中的应用探讨[J]. 高电压技术, 2022, 48(9): 3447-3464. LI Jinghua, XIE Yutian, ZENG Hongyu, et al. Research review of uncertain optimal scheduling and its application in new-type power systems[J]. High Voltage Engineering, 2022, 48(9): 3447-3464.

程临燕, 冯艳虹, 徐林. 基于风光互补出力特性的可消纳容量研究[J]. 中国电力, 2019, 52(7): 63-68. CHENG Linyan, FENG Yanhong, XU Lin. Consumptive capacity research based on wind-solar hybrid characteristics[J]. Electric Power, 2019, 52(7): 63-68.

姜婷玉, 陶劲宇, 李亚平, 等. 面向新型电力系统电力平衡的负荷响应管理综述[J]. 电力自动化设备, 2025, 45(2): 11-23. JIANG Tingyu, TAO Jinyu, LI Yaping, et al. Review of load response management for power balance in new power system[J]. Electric Power Automation Equipment, 2025, 45(2): 11-23.

帅挽澜, 朱自伟, 李雪萌, 等. 考虑风电消纳的综合能源系统"源-网-荷-储"协同优化运行[J]. 电力系统保护与控制, 2021, 49(19): 18-26. SHUAI Wanlan, ZHU Ziwei, LI Xuemeng, et al. "Source-network-load-storage" coordinated optimization operation for an integrated energy system considering wind power consumption[J]. Power System Protection and Control, 2021, 49(19): 18-26.

骆钊, 刘德文, 沈鑫, 等. 综合能源系统优化运行技术研究综述[J].电力建设, 2022, 43(12): 3-14. LUO Zhao, LIU Dewen, SHEN Xin, et al. Review of research on optimal operation technology of integrated energy system[J]. Electric Power Construction, 2022, 43(12): 3-14.

徐健玮, 马刚, 高丛, 等. 基于风光场景生成的综合能源系统日前-日内优化调度[J]. 分布式能源, 2022, 7(4): 18-27. XU Jianwei, MA Gang, GAO Cong, et al. Day-ahead and intra-day optimal scheduling of integrated energy systems based on scenario generation[J]. Distributed Energy, 2022, 7(4): 18-27.

王筱, 李高青, 姬生才, 等. 计及风光不确定性的互补发电系统容量优化配置研究[J]. 动力工程学报, 2024, 44(11): 1750-1759. WANG Xiao, LI Gaoqing, JI Shengcai, et al. Research on optimal capacity configuration of complementary power generation system considering wind-solar uncertainty[J]. Journal of Chinese Society of Power Engineering, 2024, 44(11): 1750-1759.

马静, 石建磊, 李文泉, 等. 基于功率多频率尺度分析的风光水气储联合系统日前调度策略[J]. 电网技术, 2013, 37(6): 1491-1498. MA Jing, SHI Jianlei, LI Wenquan, et al. A day-ahead dispatching strategy for power pool composed of wind farms, photovoltaic generations, pumped-storage power stations, gas turbine power plants and energy storage systems based on multi frequency scale analysis[J]. Power System Technology, 2013, 37(6): 1491-1498.

肖白, 张博. 考虑电源灵活性和互补性的多能源电力系统日前优化调度[J]. 湖南电力, 2023, 43(4): 16-23. XIAO Bai, ZHANG Bo. Ahead optimal dispatch of multi energy power system considering power flexibility and complementarity[J]. Hunan Electric Power, 2023, 43(4): 16-23.

张磊, 郭语, 石嘉豪, 等. 风火储一体化电站功率特性研究[J]. 动力工程学报, 2022, 42(6): 568-574, 581. ZHANG Lei, GUO Yu, SHI Jiahao, et al. Study on power characteristics of wind-coal-battery coupling integrated power station[J]. Journal of Chinese Society of Power Engineering, 2022, 42(6): 568-574, 581.

文阳, 周步祥, 王慧, 等. 基于大规模风光互补的发电侧可调节鲁棒优化调度策略[J]. 电测与仪表, 2017, 54(5): 9-15. WEN Yang, ZHOU Buxiang, WANG Hui, et al. Adjustable robust optimal scheduling strategy based on large scale generation side wind-PV power[J]. Electrical Measurement & Instrumentation, 2017, 54(5): 9-15.

张倩文, 王秀丽, 李言. 含风—光—水—储互补电力系统的优化调度研究[J]. 电力与能源, 2017, 38(5): 581-586. ZHANG Qianwen, WANG Xiuli, LI Yan. Optimal scheduling of hybrid wind-photovoltaic-hydro-pumped storage power system[J]. Power & Energy, 2017, 38(5): 581-586.

NTOMARIS A V, BAKIRTZIS A G. Stochastic scheduling of hybrid power stations in insular power systems with high wind penetration[J]. IEEE Transactions on Power Systems, 2016, 31(5): 3424-3436.

ARDAKANI F J, RIAHY G, ABEDI M. Design of an optimum hybrid renewable energy system considering reliability indices[C] //18 th Iranian Conference on Electrical Engineering. Isfahan: IEEE, 2010: 842-847.

BASHIR M, SADEH J. Size optimization of new hybrid stand-alone renewable energy system considering a reliability index[C] //201211th International Conference on Environment and Electrical Engineering. Venice: IEEE, 2012: 989-994.

ZHAO Y S, ZHAN J, ZHANG Y, et al. The optimal capacity configuration of an independent wind/PV hybrid power supply system based on improved PSO algorithm[C] //8th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009). Hong Kong, China: IET, 2009: 1-7.

齐郑, 徐希茜, 熊巍, 等. 基于变时段设计改进多目标差分进化算法的风/光/火/储日前优化调度[J]. 电力系统保护与控制, 2024, 52(16): 62-71. QI Zheng, XU Xixi, XIONG Wei, et al. An improved multi objective differential evolution algorithm based on variable time period design for a wind/photovoltaic/thermal/storage system day ahead optimization scheduling[J]. Power System Protection and Control, 2024, 52(16): 62-71.

杨康. 考虑风、光出力不确定性的梯级水库群多尺度优化调度[D]. 西安: 西安理工大学, 2024.

曹林锋, 呼斯乐, 杨家强, 等. 计及灵活性和源荷不确定性的储能优化配置方法[J]. 太阳能学报, 2024, 45(9): 623-629. CAO Linfeng, HU Sile, YANG Jiaqiang, et al. Optimal configuration method of energy storage considering flexibility and source-load uncertainty[J]. Acta Energiae Solaris Sinica, 2024, 45(9): 623-629.

吴庆泽. 风光火储综合能源系统多时间尺度优化调度[D]. 北京: 华北电力大学, 2023.

姚路锦, 王玮, 林宏宇, 等. 计及低碳经济运行的含风电微网群源储协同日前优化调度[J]. 动力工程学报, 2024, 44(3): 462-474. YAO Lujin, WANG Wei, LIN Hongyu, et al. Day-ahead optimal scheduling of wind-powered microgrid cluster with source-storage collaboration taking into account low-carbon economic operation[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 462-474.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Coordinated Control Method for a Thermal Power-Flywheel Hybrid System Based on SVMD-NSGA Ⅱ for Optimizing Comprehensive Frequency Regulation Performance

Short-term Wind and Solar Power Forecasting via Integrated Frequency-Time Feature Analysis and Multi-scale Sliding Windows

Potential and Role of Seasonal Energy Storage in Transition of Power and Heating Sectors—Introduction to Model

Thermodynamic Performance Analysis of Membrane Absorption CO2 Capture System for Coal-fired Power Plants

Research on Acoustic Path Tracing in Furnace Based on Acoustic Tomography

Related Author

WANG Hua

ZHANG Wenzheng

WANG Wei

DENG Yingchun

CAO Mengbing

HUO Erguang

GENG Ping

YU Tingfang

Related Institution

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University

Huaneng Clean Energy Research Institute (CERI)

School of Mechanical and Electrical Engineering, Nanchang University

School of Energy, Power and Mechanical Engineering, North China Electric Power University

Hebei Provincial Key Laboratory of Low-Carbon and Efficient Power Generation Technology, North China Electric Power University

AI问答

⁰