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计及不确定性的分布式光伏接入配电网极限容量评估
引用本文:黄伟,高怡芳,张勇军,陈伯达,周俊煌.计及不确定性的分布式光伏接入配电网极限容量评估[J].电力系统保护与控制,2018,46(14):9-16.
作者姓名:黄伟  高怡芳  张勇军  陈伯达  周俊煌
作者单位:华南理工大学电力学院;广东电网有限责任公司佛山供电局;广州市奔流电力科技有限公司
基金项目:国家自然科学基金重点项目资助(51377060)
摘    要:针对分布式光伏大量并网导致的配电网电压越限风险增加的问题,分析了不同天气类型下光伏出力特性,提出了基于光伏出力波动特性的广义天气类型聚类划分方法和基于净空理论的光伏出力时间序列模型构建方法。所构建的模型能反映实际光伏出力的时序性和波动性,建立了基于各时段节点电压越限概率与严重度函数的系统电压越限风险评估指标,据此提出采用混合逼近法求解配电网中分布式光伏的极限接入容量。最后,以典型IEEE33节点配电系统和南方电网某地区实际线路为例,分析了不同负荷特性、负荷水平和线路类型下的系统电压越限风险,从这三方面分别对分布式光伏接入配电网的极限容量进行评估。

关 键 词:分布式光伏  不确定性  概率评估指标  极限容量评估
修稿时间:2017/10/9 0:00:00

Evaluation of ultimate capacity for distributed photovoltaic access distribution network considering uncertainty
HUANG Wei,GAO Yifang,ZHANG Yongjun,CHEN Boda and ZHOU Junhuang.Evaluation of ultimate capacity for distributed photovoltaic access distribution network considering uncertainty[J].Power System Protection and Control,2018,46(14):9-16.
Authors:HUANG Wei  GAO Yifang  ZHANG Yongjun  CHEN Boda and ZHOU Junhuang
Affiliation:School of Electrical Power, South China University of Technology, Guangzhou 510640, China;Foshan Power Supply Bureau, Guangdong Power Grid Company, Foshan 528000, China,School of Electrical Power, South China University of Technology, Guangzhou 510640, China;Guangzhou Power Electrical Engineering Technology Co., Ltd., Guangzhou 510000, China,School of Electrical Power, South China University of Technology, Guangzhou 510640, China,School of Electrical Power, South China University of Technology, Guangzhou 510640, China and School of Electrical Power, South China University of Technology, Guangzhou 510640, China
Abstract:Aiming at the problem of the increasing voltage over limit risk by a large number of distributed PV access network, this paper analyses the PV output characteristics under different weather types, presents a generalized weather type clustering method based on photovoltaic output fluctuation characteristics, and builds a method of PV output time series based on clearance theory. The model can reflect time series characteristics and volatility of actual PV output, the risk assessment index of system voltage exceeding the limits based on the probability and severity of node voltage at each time interval is established. On this basis, using hybrid approximation to solve the ultimate capacity of distributed PV access network is proposed. Finally, a typical IEEE 33-node power distribution system and an actual line of a region of China Southern Power Grid are taken as examples to analyze the risk of system voltage under different load characteristics, load levels and line types. From these three aspects, the limit capacity of distributed PV access network is evaluated. This work is supported by National Natural Science Foundation of China (No. 51377060).
Keywords:distributed photovoltaic  uncertainty  probability assessment indicator  limit capacity evaluation
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