Paper
13 May 2024 Optimization of economic and technical aspects in solar-biogas hybrid rural microgrids based on multiple energy storage methods
Hu Tan, Lianchao Su, Wenyu Zhang, Tingting Xu
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315903 (2024) https://doi.org/10.1117/12.3025143
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
This paper tackled the issue of identifying the most suitable capacity setup for multi-energy complementary microgrids in rural regions. The microgrid model integrated solar and biogas storage within an AC/DC hybrid system. The use of biogas and solar power generation could meet the electricity load demand of users, as well as the waste heat generated by biogas power generation be used to meet the heat load demand. By integrating the two energy storage methods of electricity and heat storage, the synergistic utilization of electricity and heat energy was achieved to improve the flexibility and energy efficiency of the microgrid system. Through multi-objective optimization, the study aimed to maximize renewable energy utilization, minimize costs and reduce carbon emissions while ensuring power supply reliability. The results suggested that the optimal configuration for this rural microgrid includes a 2.6 kW biogas generator, 30.0 kW photovoltaic panels, a 2.6 kW battery pack and a 10.00 kW bidirectional inverter. This configuration minimized the total net cost and yielded favorable outcomes in terms of various evaluation indicators.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hu Tan, Lianchao Su, Wenyu Zhang, and Tingting Xu "Optimization of economic and technical aspects in solar-biogas hybrid rural microgrids based on multiple energy storage methods", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315903 (13 May 2024); https://doi.org/10.1117/12.3025143
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KEYWORDS
Solar energy

Solar cells

Batteries

Carbon

Biogases

Reliability

Mathematical optimization

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