电器与能效管理技术 ›› 2025, Vol. 0 ›› Issue (5): 9-17.doi: 10.16628/j.cnki.2095-8188.2025.05.002

• 研究与分析 • 上一篇    下一篇

考虑源荷波动概率特性的直流微电网鲁棒优化调度方法

余雪萍1, 刘威凌1, 曹斌2, 肖宇琪1, 周朋1   

  1. 1.湖南工业大学 电气与信息工程学院, 湖南 株洲 412007
    2.国网湖南省电力有限公司 长沙供电分公司, 湖南 长沙 410118
  • 收稿日期:2024-12-29 出版日期:2025-05-30 发布日期:2025-07-24
  • 作者简介:余雪萍(1990—),女,博士,讲师,研究方向为多端口直流变换器、微电网、电能质量等。|刘威凌(2001—),男,硕士研究生,研究方向为微电网协调控制与优化运行。|曹斌(1991—),男,工程师,主要从事电力系统及其自动化研究。

Robust Optimization Scheduling Method for DC Microgrid Considering Probability Characteristics of Source Load Fluctuations

YU Xueping1, LIU Weiling1, CAO Bin2, XIAO Yuqi1, ZHOU Peng1   

  1. 1. School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
    2. Changsha Power Supply Branch, State Grid Hunan Electric Power Co., Ltd., Changsha 410118, China
  • Received:2024-12-29 Online:2025-05-30 Published:2025-07-24

摘要:

可再生能源接入比重逐年增加,给直流微电网的运行调控引入越来越多不确定因素。现有鲁棒优化调度结果过于保守,调度方案经济性较差。基于典型历史数据的概率分布特性,拟合源荷功率不同置信度的置信区间,进而提出一种新型多概率区间不确定集,实现对源荷波动的准确描述。基于所提新型不确定集,构建直流微电网鲁棒优化调度模型,采用列和约束生成算法(C&CG)对模型进行简化求解,得到兼顾电网经济性和稳定性的优化调度方案。最后,对比各类不确定集描述方法的调度经济性及刻画准确性,验证了所提优化方法的有效性和可行性。

关键词: 直流微电网, 鲁棒优化, 置信区间, 多区间不确定集

Abstract:

The increasing proportion of renewable energy integration has introduced more and more uncertain factors into the operation regulation of DC microgrid.The existing robust optimization scheduling results are too conservative, and the economic performance of the scheduling scheme is poor.Based on the probability distribution characteristics of the typical historical data, a new multi-probability interval uncertainty set is proposed to accurately describe the source and load fluctuations by fitting the confidence intervals of different source and load powers.Based on the proposed novel uncertainty set,a robust optimization scheduling model for DC microgrid is constructed.The column and constraint generation (C&CG) algorithm is used to simplify the model,and an optimization scheduling scheme that takes into account the economy and stability of power grid is obtained.Finally,by comparing the scheduling economy and accuracy of various uncertainty set description methods, the validity and feasibility of the proposed optimization method are verified.

Key words: DC microgrid, robust optimization, confidence interval, multi-interval uncertainty set

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