DG Hosting Capacity Assessment Considering Dependence Among Wind Speed, Solar Radiation, and Load Demands

Junyi Yang; Jiangmin Bao; Yuhan Hou; Han Wu; Qiang Li; Yue Yuan

doi:10.17775/CSEEJPES.2021.07270

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DG Hosting Capacity Assessment Considering Dependence Among Wind Speed, Solar Radiation, and Load Demands

Regular Papers | 更新时间：2026-10-15

- DG Hosting Capacity Assessment Considering Dependence Among Wind Speed, Solar Radiation, and Load Demands
- DG Hosting Capacity Assessment Considering Dependence Among Wind Speed, Solar Radiation, and Load Demands
- 中国电机工程学会电力与能源系统学报(英文) 2024年10卷第3期页码：1011-1025
- 作者机构：
  
  1. Hohai University,Nanjing,China
  2. Suzhou Power Supply Branch, State Grid Jiangsu Electric Power Co., Ltd.,Suzhou,China
  3. Nanjing Institute of Technology,Nanjing,China
  4. Electric Power Research Institute of State Grid Jiangsu Electric Power Co. Ltd.,Nanjing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.07270
  中图分类号：
- 纸质出版：2024-05-01
- 稿件说明：
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Junyi Yang, Jiangmin Bao, Yuhan Hou, 等. DG Hosting Capacity Assessment Considering Dependence Among Wind Speed, Solar Radiation, and Load Demands[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(3):1011-1025.

Junyi Yang, Jiangmin Bao, Yuhan Hou, et al. DG Hosting Capacity Assessment Considering Dependence Among Wind Speed, Solar Radiation, and Load Demands[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1011-1025.
Junyi Yang, Jiangmin Bao, Yuhan Hou, 等. DG Hosting Capacity Assessment Considering Dependence Among Wind Speed, Solar Radiation, and Load Demands[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(3):1011-1025. DOI： 10.17775/CSEEJPES.2021.07270.

Junyi Yang, Jiangmin Bao, Yuhan Hou, et al. DG Hosting Capacity Assessment Considering Dependence Among Wind Speed, Solar Radiation, and Load Demands[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1011-1025. DOI： 10.17775/CSEEJPES.2021.07270.

摘要

Abstract

Dependence of distributed generation (DG) outputs and load plays an essential role in renewable energy accommodation. This paper presents a novel DG hosting capacity (DGHC) evaluation method for distribution networks considering high-dimensional dependence relations among solar radiation

wind speed

and various load types (i.e.

commercial

residential

and industrial). First

an advanced dependence modeling method called regular vine (R-vine) is applied to capture the complex dependence structure of solar radiation

wind speed

commercial loads

industrial loads

and residential loads. Then

a chance-constrained DGHC evaluation model is employed to figure out maximum hosting capacity of each DG and its optimal allocation plan with different operational risks. Finally

a Benders decomposition algorithm is also employed to reduce computational burden. The proposed approaches are validated using a set of historical data from China. Results show dependence among different DGs and loads has significant impact on hosting capacity. Results also suggest using the R-vine model to capture dependence among distributed energy resources (DERs) and load. This finding provides useful advice for distribution networks in installing renewable energy generations.

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