Enhanced Monte Carlo Simulation for PV Hosting Capacity Evaluation in Low Voltage Distribution

被引：0
|
作者：
Rapeearpakul, Natthapat [1 ]
Hoonchareon, Naebboon [2 ]
机构：
[1] Chulalongkorn Univ, Dept Elect Engn, Bangkok, Thailand
[2] Chulalongkorn Univ, Dept Elect Engn, Smart Grid Res Unit, Bangkok, Thailand
来源：
2024 21ST INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY, ECTI-CON 2024 | 2024年
关键词：
PV hosting capacity; low voltage distribution system; Monte Carlo simulation; binary search;
D O I：
10.1109/ECTI-CON60892.2024.10595007
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The growing trend of residential solar photovoltaic (PV) systems highlights the need for accurate photovoltaic hosting capacity (PVHC) evaluation method in low-voltage distribution networks. This study aims to improve the precision of PVHC which is calculated by Monte Carlo-based method using a proposed hybrid linear and binary search approach. In addition, the weighted load concept is introduced for more accurate PVHC. The simulation of a low-voltage distribution test system in Thailand was conducted on Digsilent Powerfactory software. The results show that the hybrid linear and binary search method can improve the precision of the Monte Carlo-based method compared to the linear method. Finally, when the locational PV installed capacities are weighted by their peak locational load, the calculated PVHC significantly decreases.
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页数：6
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