湖北电力2025，Vol.49Issue(2)：64-70,7.DOI:10.3969/j.issn.1006-3986.2025.02.008
计及多峰概率分布的电力系统鲁棒优化调度策略
Robust Optimal Scheduling Strategy for Power Systems Considering Multi-Peak Probability Distributions
摘要
Abstract
In order to enhance the low-carbon operational capability of the power system under the fluctuations of renewable energy output and load uncertainty,this paper proposes a robust scheduling strategy for power systems based on Gaussian mixture model and confidence interval decision theory.First,in order to describe the characteristics of source-load uncertainty more accurately,the paper compares various uncertainty modeling methods and selects the Gaussian mixture model capable of characterizing multi-peak features to construct the source-load uncertainty model,and then,based on confidence interval decision theory,constructs a robust optimization model with the objective of minimizing system operating costs.Finally,the paper uses the Python programming language to perform simulation verification.The results show that the proposed method exhibits better economic efficiency and robustness under scenarios of renewable energy fluctuations and load uncertainty,effectively enhancing the system's low-carbon scheduling capability.关键词
风光荷储/低碳经济调度/置信间隙/鲁棒优化/高斯混合模型/电力系统/新能源Key words
wind-solar-load-storage/low-carbon economic scheduling/confidence interval/robust optimization/Gaussian mixture model/electric power system/renewable energy分类
信息技术与安全科学引用本文复制引用
ZHANG Jialei,LUO Jianjia,LIU Zhengyang,TANG Fangfang,Guan Yanpeng..计及多峰概率分布的电力系统鲁棒优化调度策略[J].湖北电力,2025,49(2):64-70,7.基金项目
国家自然科学基金项目(项目编号:62473242). （项目编号:62473242）
