动力与电气工程

考虑光伏发电的配电网负荷概率分析与储能优化

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  • 1. 华南理工大学 电力学院,广东 广州 510640; 2. 广东电网有限责任公司电力科学研究院,广东 广州 510080;3. 广东省智能电网新技术企业重点实验室,广东 广州 510080
夏成军( 1974-) ,男,博士,副教授,主要从事电力系统运行分析与规划研究.

收稿日期: 2015-11-09

  修回日期: 2016-03-04

  网络出版日期: 2016-10-04

基金资助

国家高技术研究发展计划项目( 2012AA050212)

Load Probability Analysis and Energy Storage Optimization of Distribution Networks of PV Generation

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  • 1.School of Electric Power,South China University of Technology,Guangzhou 510640,Guangdong,China; 2.Electric Power Research Institute of Guangdong Power Grid Corporation,Guangzhou 510080,Guangdong,China; 3.Guangdong Provincial Key Laboratory of Smart Grid Technology,Guangzhou 510080,Guangdong,China
夏成军( 1974-) ,男,博士,副教授,主要从事电力系统运行分析与规划研究.

Received date: 2015-11-09

  Revised date: 2016-03-04

  Online published: 2016-10-04

Supported by

Supported by the National High-Tech R&D Program of China( 2012AA050212)

摘要

光伏系统接入配电网会增加负荷的波动性和不确定性,对配电网输配电设备的容量规划造成一定影响. 文中在分析纵向时刻光伏出力和负荷概率性的基础上,考虑一定风险系数来降低供电负荷,并利用储能作为削峰填谷来应对供电负荷降低之后的概率风险,基于此原理对储能容量进行优化配置,并实现风险性与经济性的平衡,求取经济效益最大化时对应的风险系数. 算例表明该方法可为配电网设备容量的规划带来一定经济效益.

本文引用格式

夏成军 梁君君 宋旭东 余南华 . 考虑光伏发电的配电网负荷概率分析与储能优化[J]. 华南理工大学学报(自然科学版), 2016 , 44(11) : 133 -139 . DOI: 10.3969/j.issn.1000-565X.2016.11.020

Abstract

The PV access to distribution networks can cause the volatility and uncertainty of load to increase,which has a certain effect on the capacity planning of power transmission and distribution equipment.In this paper,on the basis of the probability analysis of both PV power and load in longitudinal moment,supply load is reduced by introducing a risk parameter.Then,energy storage is taken as a measure to shift electricity from peak periods to offpeak periods,so as to handle the probabilistic risk after reducing the supply load.On the basis of this principle,the energy storage capacity is optimized,and the balance between risk and economics as well as the risk factor corresponding to a maximum economic benefit is achieved.Case analyses show that the proposed method in this paper can bring certain economic benefits for the device capacity planning of distribution networks.

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