Distributed photovoltaic planning optimization method of active distribution network based on improved artificial bee colony algorithm

In the context of large-scale integration of pho-tovoltaic power generation into the distribution network, the intermittency and uncertainty of photovoltaic output will in-crease the pressure on the distribution network. When planning an active distribution network distributed photovoltaic power sta...

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Bibliographic Details
Published in2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Vol. 10; pp. 158 - 162
Main Authors Sun, Xinjie, Jing, Jiangping, Shen, Zhangliang, Zhang, Liudong, Zhu, Weiping
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.06.2022
Subjects
Artificial bee colony algorithm
distribution network
Distribution networks
Linear programming
machine learning
Mathematical models
photovoltaic power station
Photovoltaic systems
power systems
risk of over-limiting
Simulation
smart grid
soft computing
Voltage
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Summary:In the context of large-scale integration of pho-tovoltaic power generation into the distribution network, the intermittency and uncertainty of photovoltaic output will in-crease the pressure on the distribution network. When planning an active distribution network distributed photovoltaic power station, the risk of over-limiting the system voltage should be fully considered. This paper establishes a planning model that takes two objective functions with the lowest risk of system voltage over-limit and the best overall economy, and the system power flow and node photovoltaic access capacity as constraints. The improved artificial bee colony algorithm is used to obtain the planning results of photovoltaic access capacity and access location. The simulation results show the effectiveness of the algorithm proposed in this paper.
ISSN:2693-2865
DOI:10.1109/ITAIC54216.2022.9836730