Journal of System Simulation
Abstract
Abstract: In view of the economic and environmental collaborative optimization of a microgrid with a micro gas turbine, power to gas(P2G) system with the ability to abandon wind and light for consumption and capture carbon is introduced, and a microgrid optimal scheduling model with P2G system based on novel biogeography-based optimization(NBBO) algorithm is proposed. The microgrid model with the P2G system is constructed, and the working principle of the main equipment is analyzed. The reserve capacity of a wind turbine is introduced to reduce the influence of the randomness of wind power generation. The objective function of minimizing the operating cost of the microgrid is established, and the proposed NBBO algorithm is used to solve the objective function. The analysis shows that the microgrid with a P2G system can reduce the power generation cost by 9.02% and the emission of carbon oxides by 25.9%, which verifies the feasibility of the proposed microgrid model with P2G system and the applicability and superiority of the improved algorithm.
Recommended Citation
Wei, Lisheng; Yang, Benben; and Sun, Ruixia
(2023)
"Research on Optimal Scheduling of Microgrid Based on NBBO Algorithm,"
Journal of System Simulation: Vol. 35:
Iss.
5, Article 15.
DOI: 10.16182/j.issn1004731x.joss.22-0072
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol35/iss5/15
First Page
1075
Revised Date
2022-03-21
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.22-0072
Last Page
1085
CLC
TP18
Recommended Citation
Lisheng Wei, Benben Yang, Ruixia Sun. Research on Optimal Scheduling of Microgrid Based on NBBO Algorithm[J]. Journal of System Simulation, 2023, 35(5): 1075-1085.
DOI
10.16182/j.issn1004731x.joss.22-0072
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