CONTROL FOR HYBRID AC/DC MICROGRID WITH D-FACTS USING GENETIC ALGORITHM

Abdelazeem A. Abdelsalam, Hossam A. Gabbar, and Adel M. Sharaf

Keywords

Hybrid microgrid, D-FACTS, THD, multi-loop error, optimization,genetic algorithm

Abstract

In this paper, the performance of hybrid AC/DC microgrid system with distributed FACTS (D-FACTS) is fully optimized. The distributed energy resources such as Photovoltaic (PV), fuel cells, micro gas turbine, and wind turbine and energy storages are all utilized in this microgrid with the novel D-FACTS devices. Modulated power filter compensators are presented as AC-side D-FACTS devices while green plug filter compensators are introduced as DC-side D-FACTS device. New multi-loop errors driven control strategies are implemented for the interface bus stabilization using the D-FACTS schemes to properly regulate the AC sub-grid, DC sub-grid with the host electric utility grid. Intelligent search and optimization algorithm based on genetic algorithm (GA) is developed to optimize the operation of the microgrid by self-adapting the controller gains of the D-FACTS and converters to achieve higher microgrid energy utilization, stabilize voltage and reduce inrush current conditions. The results obtained from the Matlab/Simulink environment show that the proposed microgrid structure is able to meet its special requirements, such as bus voltages stabilization, reduction of feeder losses, enhancement of power factor, improvement of power quality PQ and reduction of the total harmonic distortion at AC interface buses.

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