满足电能质量限值的分布式光伏极限峰值容量计算

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满足电能质量限值的分布式光伏极限峰值容量计算

更新时间：2025-08-13

- 满足电能质量限值的分布式光伏极限峰值容量计算
- Automation of Electric Power Systems Vol. 40, Issue 14, Pages: 43-50(2016)
- 作者机构：
  
  广西电力系统最优化与节能技术重点实验室(广西大学), 广西壮族自治区南宁市,530004
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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LI Bin. [J]. Automation of electric power systems, 2016, 40(14): 43-50.
DOI：

LI Bin. [J]. Automation of electric power systems, 2016, 40(14): 43-50. DOI：

摘要

随着分布式光伏在中低压配电网分散性大量接入

配电网电能质量问题日益突出

配电网馈线可接入分布式光伏极限容量成为了焦点问题。文中探求分布式光伏接入中低压配电网对电能质量的影响因素和影响程度

提出了基于电流注入法满足电能质量限值的极限峰值容量优化计算模型。该模型以多个电能质量指标的国家标准作为优化限值约束

对新建或扩容等多种情况均能有效给出分布式电源接入极限峰值容量。通过IEEE 33节点系统和实际配电网LCX系统的算例分析

验证了模型计算结果的有效性和实用性。针对10 kV典型线路

依据不同分区的不同线型给出了满足电能质量限值的分布式光伏安全可接入极限容量

为供电企业校核分布式光伏接入并网申请时提供参考。

Abstract

With the large number of distributed photovoltaics(PVs)dispersedly accessed in middle-low voltage distribution network

power quality problems of distribution network are becoming increasingly conspicuous

making the limit peak capacity of distributed PV accessed in distribution network the focus of attention. Following a study of the influence factors and the influence level of distributed PV on the power quality

an optimal calculation model based on the current injection method is proposed to meet the need of limits of power quality. The model is constrained by power quality indices of multiple national standards

with the peak value of the distributed generator accessed given for both new and expanded cases of limit peak capacity. The validity and practicability of the model are verified by the test results of the IEEE 33-bus system and actual LCX system. For the features of typical 10 kV line

the safety limits of distributed PV with power quality constraints are given according to different line types in different regions. The results can provide reference for the power supply enterprise in checking the grid-connected application of distributed PVs. This work is supported by National Natural Science Foundation of China(No. 51407036)and National Basic Research Program of China(973 Program)(No. 2013CB228205).

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