Paper
25 April 2023 Power loss analysis in distribution network considering photovoltaic uncertainty
Longqian Zhao, Wei Zhang, Jun Yang, Rui Li, Changkai Shi, Shengxia Cai
Author Affiliations +
Proceedings Volume 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022); 125982K (2023) https://doi.org/10.1117/12.2672909
Event: Eighth International Conference on Energy Materials and Electrical Engineering (ICMEE 2022), 2022, Guangzhou, China
Abstract
The access of Distributed Photovoltaic (DPV) will affect the power loss. This paper first analyzes the mechanism of the influence of DPV access on power loss. Based on Monte Carlo simulation method, a method for analyzing the influence of DPV random access on power loss is proposed. Taking IEEE33 node as an example, the forward and back generation power flow calculation method is adopted for simulation analysis, then the variation rule of net loss is summarized.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Longqian Zhao, Wei Zhang, Jun Yang, Rui Li, Changkai Shi, and Shengxia Cai "Power loss analysis in distribution network considering photovoltaic uncertainty", Proc. SPIE 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022), 125982K (25 April 2023); https://doi.org/10.1117/12.2672909
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KEYWORDS
Monte Carlo methods

Photovoltaics

Analytical research

Network security

Power grids

Reliability

Resistance

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