Optimal Operation of Grid-connected Microgrid Based on ABC Algorithm

doi:10.16182/j.issn1004731x.joss.201804042

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.

Key words: lithium-ion battery, SOC, model adaptive, PI regulator, OCV, Ah

CLC Number:

TP391.9

Cui Qiuli. Optimal Operation of Grid-connected Microgrid Based on ABC Algorithm[J]. Journal of System Simulation, 2018, 30(4): 1551-1559.

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