Journal of System Simulation
Abstract
Abstract: An optimal scheduling model of grid-connected microgrid composed of wind power generators, photovoltaic cells, fuel cells and batteries is established. The economy and environmental protection elements are considered in this model. To maximize the role of peak shaving and valley filling in microgrid system, based on the time-of-use price mechanism, the heuristic rules combined with peak shaving and valley filling is used to design a grid-connected energy scheduling strategy. By monitoring the net load state and the price time interval, and adjusting the particular state of the micro source of power, the system optimal energy scheduling state is obtained. The ABC algorithm is applied to solve the established optimization scheduling model of grid-connected microgrid. The bee colony search frequency is improved by control parameter for linear adjustment of iteration times. The simulation results prove that the model and scheduling strategy of grid-connected microgrid is feasible and effective.
Recommended Citation
Cui, Qiuli
(2019)
"Optimal Operation of Grid-connected Microgrid Based on ABC Algorithm,"
Journal of System Simulation: Vol. 30:
Iss.
4, Article 42.
DOI: 10.16182/j.issn1004731x.joss.201804042
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss4/42
First Page
1551
Revised Date
2016-08-11
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201804042
Last Page
1559
CLC
TP391.9
Recommended Citation
Cui Qiuli. Optimal Operation of Grid-connected Microgrid Based on ABC Algorithm[J]. Journal of System Simulation, 2018, 30(4): 1551-1559.
DOI
10.16182/j.issn1004731x.joss.201804042
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