引用本文:陈宇辛,江岳文.考虑变量相关性的改进场景优化法区间潮流计算[J].电力自动化设备,2022,42(3):
CHEN Yuxin,JIANG Yuewen.Interval power flow calculation with improved scenario optimization method considering correlation of variables[J].Electric Power Automation Equipment,2022,42(3):
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 11632次   下载 2163  
考虑变量相关性的改进场景优化法区间潮流计算
陈宇辛1, 江岳文1,2
1.福州大学 电气工程与自动化学院,福建 福州 350108;2.福建省电器智能化工程研究中心,福建 福州 350108
摘要:
可再生能源出力和负荷波动的不确定性增加了电力系统运行状态的不确定性,为此提出一种考虑区间变量间相关性的区间潮流场景非线性优化方法。通过构造不确定平行四边形区域表示区间变量间的相关性,针对场景优化法可能造成重复计算的问题,通过对比节点电压对节点功率的灵敏度的正、负性,将变化趋势一致的状态变量进行归类计算。算例分析结果表明,所提方法能够准确计算区间边界,有效削减优化次数以及提高计算效率。
关键词:  区间潮流  区间相关性  灵敏度  非线性优化  平行四边形模型
DOI:10.16081/j.epae.202111005
分类号:TM744
基金项目:国家自然科学基金资助项目(51707040)
Interval power flow calculation with improved scenario optimization method considering correlation of variables
CHEN Yuxin1, JIANG Yuewen1,2
1.College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China;2.Fujian Smart Electrical Engineering Technology Research Center, Fuzhou 350108, China
Abstract:
The uncertainty of renewable energy output and load fluctuation increases the uncertainty of power system operation state, for which, a nonlinear optimization method of interval power flow scenario considering the correlation of interval variables is proposed. The correlation of interval variables is represented by constructing uncertain parallelogram area. Aiming at the problem of repeated calculation caused by scenario optimization method, the state variables with the same trend are classified and calculated by comparing the positive and negative sensitivity of node voltage to node power. The results of example analysis show that the proposed method can accurately calculate the interval boundary, effectively reduce the optimization times and improve the calculation efficiency.
Key words:  interval power flow  interval correlation  sensitivity  nonlinear optimization  parallelogram model

用微信扫一扫

用微信扫一扫