Renewable energy source (RES) based islanded DC microgrid with enhanced resilient control

• Published in: International journal of electrical power & energy systems Vol. 113; pp. 461 - 471
• Main Authors: Shahid, Muhammad Umair, Mansoor Khan, Muhammad, Hashmi, Khurram, Boudina, Rabah, Khan, Asad, Yuning, Jiang, Tang, Houjun
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-12-2019
• Subjects: DC-DC converters; Information based control; Multilevel control; Renewable energy resources (RES) control; DC-DC converters; Multilevel control; Information based control; Renewable energy resources (RES) control
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2019.05.069

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•Hieratical control of renewable based DC microgrids.•Improvements in secondary control.•Detection of information islanding using “echo’•Plug and play control system for micro grids.
Enhancements in the control scheme of renewable energy resources (RES) in microgrids are a growing region of research. In order to improve the resilience of the microgrids control, a distributed consensus-based control is utilized by spreading an information network across the small distribution grid. The estimated operating reference values and correction terms are relayed through this information network to converge the system response. However, information link islanding, dis-connectivity, and failure of information components may affect the load imbalance between generation source nodes and may vary in node voltages. The proposed algorithm aims to sustain the operation and stability of the microgrid by changing the control structure in the form of controllable information islands. Whereas, conventional control lacks the ability to sustain-system operation during information islanding scenario. Therefore, load sharing and voltage regulation are accomplished by utilizing through proposed secondary control. Finally, the usefulness of the proposed algorithm has been proved through comparison with existing control, mathematical analyses, case study, and simulations in MATLAB/Simpower systems.