Distributed photovoltaic generation site selection and hosting capacity assessment for active distribution network based on time series voltage sensitivity

王小仲; 唐 明; 林承钱; 吴刚勇; 黄继华; 郭 营; 陈丽娟

doi:10.3969/j.issn.1009-1831.2021.06.012

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Distributed photovoltaic generation site selection and hosting capacity assessment for active distribution network based on time series voltage sensitivity

更新时间：2026-03-05

- Distributed photovoltaic generation site selection and hosting capacity assessment for active distribution network based on time series voltage sensitivity
- Vol. 23, Issue 6, (2021)
- 作者机构：
  
  1. 国网浙江省电力有限公司湖州供电公司,浙江,湖州,313000
  2. 浙江泰仑电力集团有限责任公司,浙江,湖州,313000
  3. 东南大学电气工程学院,南京,210096
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2021.06.012
  CLC：
- Published：2021
- 稿件说明：
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王小仲, 唐明, 林承钱, et al. Distributed photovoltaic generation site selection and hosting capacity assessment for active distribution network based on time series voltage sensitivity[J]. 2021, 23(6).
DOI：

王小仲, 唐明, 林承钱, et al. Distributed photovoltaic generation site selection and hosting capacity assessment for active distribution network based on time series voltage sensitivity[J]. 2021, 23(6). DOI： 10.3969/j.issn.1009-1831.2021.06.012.

摘要

随着分布式光伏的快速发展，如何确定主动配电网中分布式光伏的安装位置及最大准入容量成为促进新能源消纳良性发展的研究热点。由于分布式光伏的接入会对配网电压产生很大影响，首先提出时序电压灵敏度指标，从电压角度得到分布式光伏的候选安装节点。其次，构建源荷不确定性时序场景集，建立计及不确定性的分布式光伏准入容量评估模型，并基于鲁棒线性化思想及对偶理论将模型转化为混合整数线性规划模型，以便模型的求解。通过Matlab搭建IEEE33节点系统，仿真结果证明了所建模型的适应性及有效性。

Abstract

With the rapid development of distributed photovoltaics

how to determine the maximum access capacity of distributed photovoltaics in active distribution networks has become a research hotspot to promote the healthy development of renewable energy consumption. Firstly

since the access of distributed photovoltaics will have a great impact on the distribution network voltage

the time series voltage sensitivity index is proposed to obtain the candidate nodes of distributed PV. Secondly

source- load uncertainty time series scenario set is established. Based on this

a distributed photovoltaic access capacity evaluation model that takes into account uncertainty is constructed. At last

the optimization modal is transformed to the mixed integer linear programming with the help of robust linearization and duality theory. The effectiveness of the proposed method is demonstrated using a modified IEEE 33-bus distribution system.

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