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含风电电力系统源荷储协同分布鲁棒优化调度

张子见 何宇 张靖 郭元萍 王志杨 胡祥谢

电子科技2025,Vol.38Issue(8):1-10,10.
电子科技2025,Vol.38Issue(8):1-10,10.DOI:10.16180/j.cnki.issn1007-7820.2025.08.001

含风电电力系统源荷储协同分布鲁棒优化调度

Robust Optimal Scheduling of Source-Load-Storage Cooperative Distribution in Power System with Wind Power

张子见 1何宇 1张靖 1郭元萍 2王志杨 1胡祥谢1

作者信息

  • 1. 贵州大学 电气工程学院,贵州 贵阳 550025
  • 2. 贵州电网有限责任公司 电网规划研究中心,贵州 贵阳 550002
  • 折叠

摘要

Abstract

In view of the problem of the influence of large user direct purchasing process on the flexibility of power system with the continuous advancement of power market reform,a distributed robust optimal scheduling model of power system considering wind power uncertainty and direct power purchase of large users is proposed in this stud-y.In order to reduce the impact of wind power uncertainty on power system,considering the time series and interval of wind power prediction error,a first-order Markov chain model with interval characteristics is proposed to construct a data-driven day-ahead two-stage distribution robust optimization model.In the first stage of the model,the maxi-mum total revenue of the wind farm station is taken as the objective function,and the first stage robust scheduling scheme is formulated.In the day-ahead second stage,the uncertainty of wind power output can be flexibly dealt with by adjusting the output of controllable units in the region.The results verify the effectiveness of the distributionally robust optimization algorithm,and prove that large users direct purchasing power dispatching can effectively improve the economy and peak load capacity of the system.

关键词

风电/大用户直购电/分布鲁棒优化/马尔可夫链/数据驱动/优化调度/调峰

Key words

wind power/large consumers direct purchasing/distributionally robust optimization/Markov chain/data-driven/optimized scheduling/peaking shaving

分类

信息技术与安全科学

引用本文复制引用

张子见,何宇,张靖,郭元萍,王志杨,胡祥谢..含风电电力系统源荷储协同分布鲁棒优化调度[J].电子科技,2025,38(8):1-10,10.

基金项目

黔科合支撑([2022]一般013,[2022]一般014) ([2022]一般013,[2022]一般014)

黔科合平台人才(GCC[2022]016-1) (GCC[2022]016-1)

黔教技([2022]043) Science and Technology Foundation of Guizhou([2022]General013),[2022]General014) ([2022]043)

Science and Technology Foundation of Guizhou(GCC[2022]016-1) (GCC[2022]016-1)

Educational Technology Foundation of Guizhou([2022]043) ([2022]043)

电子科技

1007-7820

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