Distributed Photovoltaic Multi-point Access Distribution Network Station Area Capacity Planning

The massive quantity of distributed photovoltaic connections, will lead to a significant effect on the operation of the distribution station area. This paper presents a photovoltaic access capacity planning model and method for poverty alleviation photovoltaic access distribution network station area. A mathematical model with the goal of maximum photovoltaic access capacity is constructed, and the constraint conditions of node voltage, and line power flow, are optimized in the model by combining with the particle swarm optimization and penalty function. Taking the IEEE33-node standard system as an example, the consequences exhibit that the approach can efficaciously calculate the distributed photovoltaic capacity and location that can be accessed by the distribution network, and analyze the impact on the voltage and network loss, which provides a reference for guiding the distributed photovoltaic poverty alleviation security.

Authors

Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/icepg63230.2024.10775880
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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Distributed Photovoltaic Multi-point Access Distribution Network Station Area Capacity Planning

Yao Duan, Minghui Yang, Hao Liu, Yongqing Li et al.
Power Systems and Technologies
article

Distributed Photovoltaic Multi-point Access Distribution Network Station Area Capacity Planning

Yao Duan, Minghui Yang, Hao Liu, Yongqing Li, Jiaxuan Shang
article en

Abstract

The massive quantity of distributed photovoltaic connections, will lead to a significant effect on the operation of the distribution station area. This paper presents a photovoltaic access capacity planning model and method for poverty alleviation photovoltaic access distribution network station area. A mathematical model with the goal of maximum photovoltaic access capacity is constructed, and the constraint conditions of node voltage, and line power flow, are optimized in the model by combining with the particle swarm optimization and penalty function. Taking the IEEE33-node standard system as an example, the consequences exhibit that the approach can efficaciously calculate the distributed photovoltaic capacity and location that can be accessed by the distribution network, and analyze the impact on the voltage and network loss, which provides a reference for guiding the distributed photovoltaic poverty alleviation security.

State Grid Corporation of China
Affordable and clean energy
Openalex Percentile: Top 80%
Power Systems and Technologies
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