Paper
24 October 2023 Research on power flow characteristics of distributed generation (DG) based on the IEEE33 model
Haoqi Han
Author Affiliations +
Proceedings Volume 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023); 1280432 (2023) https://doi.org/10.1117/12.3007336
Event: 2nd International Conference on Sustainable Technology and Management (ICSTM2023), 2023, Dongguan, China
Abstract
With the continuous promotion of the national carbon peaking and carbon neutral policies, as well as the strategic plan of the energy revolution, new energy represented by distributed generation (DG) has been widely used in the power industry with its advantages of renewable and environmental protection, but it has caused serious changes in the topology structure of power distribution network, exerted a serious influence on power flow distribution, network loss and harmonics, as well as endangered the safe and stable operation of the power distribution system. In this paper, through theoretical derivation on the power flow characteristics of DG, establishing the IEEE33 node model, and using Matlab/Simulink platform and digital simulation of the distribution network model, the author validates the impact of different DGs on power flow distribution, providing effective theoretical and simulation support for the safe operation of the distribution networks of DG.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Haoqi Han "Research on power flow characteristics of distributed generation (DG) based on the IEEE33 model", Proc. SPIE 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023), 1280432 (24 October 2023); https://doi.org/10.1117/12.3007336
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KEYWORDS
Power grids

Network security

Mathematical modeling

Computer simulations

Astatine

Carbon

Lithium

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