Paper
13 May 2024 Research on optimization configuration of distributed generation (DG) based on power supply reliability
Weiwei Li, Hai Yu, Tianchen Gu, Lidong Guo, Yi Peng
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131591E (2024) https://doi.org/10.1117/12.3024460
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
With the development of renewable energy in China, the optimal configuration of distributed energy resources has gained paramount significance. This paper comprehensively considers factors such as regional constraints, disaster impact, and system reliability to optimize the integration of Distributed Generation (DG) into the grid. Experimental results indicate that reasonable distributed energy resource configuration can enhance the grid's resilience during natural disasters and its post-disaster recovery capability. Additionally, increasing the penetration rate of distributed energy resources can bring economic benefits to the grid. This will provide valuable references for the planning and operation of actual distribution networks, aiming to achieve a more efficient and reliable power system.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Weiwei Li, Hai Yu, Tianchen Gu, Lidong Guo, and Yi Peng "Research on optimization configuration of distributed generation (DG) based on power supply reliability", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131591E (13 May 2024); https://doi.org/10.1117/12.3024460
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KEYWORDS
Particle swarm optimization

Reliability

Solar energy

Mathematical optimization

Power supplies

Mathematical modeling

Nonlinear optimization

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