摘要
风速与负荷均受多种气候因素影响,二者具有一定相关性,因此对含风力发电的配电网进行随机潮流计算和配电网重构时应计及二者相关性的影响。基于Copula函数理论,提出一种计及风速与负荷相关性的配电网随机潮流算法,并以有功功率损耗期望值最小为目标函数,建立计及风速-负荷相关性的配电网重构模型。算例结果表明,所提方法能精确描述风速与负荷的相关结构,并且二者相关性的强弱对配电网随机潮流和重构结果均有一定影响。
As both wind-speed and load are affected by several climate factors,there exists a certain correlation between them,which should be considered in the SPF（Stochastic Power Flow） calculation and DNR（Distribution Network Reconfiguration）. A SPF algorithm considering this correlation is proposed based on the Copula function theory and a DNR model considering this correlation and taking the minimum expectation of active power loss as its objective function is built. Results of case study show that,the proposed method can accurately describe the correlation between wind-speed and load,and the correlation degree has a certain impact on the results of SPF and DNR.
出处
《电力自动化设备》
EI
CSCD
北大核心
2016年第2期148-153,160,共7页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(51247006)
中央高校基本科研业务费专项资金资助项目(CDJZR11150005
CDJRC-10150003)~~
关键词
风速
负荷
相关性
COPULA函数
随机潮流
配电网重构
风电
wind-speed
electric loads
correlation
Copula function
stochastic power flow
distribution network reconfiguration
wind power
