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Advanced control for smart and resilient DC microgrids

A Engineering, Maths & Computing project

control systems

In order to achieve the smart grid functions, distributed energy resources (DRs) and microgrids (MG) are essential components. A microgrid, or a building block of future smart grid, can be expressed as a system or network of low voltage power generating units, energy consumers (or loads), storage devices and a main interface switch. Various control methods of microgrid, are to be tested and developed, as well as a solid presentation, is to be made, of the reasons towards incorporating MG into the existing grid. As a major component of a MG, the DRs include both distributed generation and distributed storage units. The operation and control of distributed generation units likewise in ac and dc MGs is critical to maintain the steady and safe operation of the whole system. Also, in the light of the fact that unpredicted events happen, such as faults, short circuits, sudden islanding which can, hence, lead to an interruption or deterioration of the converter device, either protection circuits are activated or the power converters of distribution generation units are essential to change between different control algorithms to ensure protection to the whole system. Extra checking is required and the total system can be taken to instability due to the absence of a strict stability evidence.
That is why, this project will be focused on the design of advanced control methods and techniques for converters of DG units in ac and, as well, dc microgrid applications, which will have the same configuration under identical normal and abnormal conditions. This developed techniques are needed to ensure a stable and secure operation under several unfavourable conditions (network faults, unrealistic power demands, measurement errors, etc.), leading to the design of self-protected MGs, which will improve the reliability of the power network. Hardware-in-the-loop and experimental activity of the developed methods are needed to test the theoretical development.

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Andrei-Constantin Braitor

Academic Institution: University of Sheffield
Course: Advanced control for smart and resilient DC microgrids, 2016-2019
Nationality: Romanian
User Profile:Andrei-Constantin Braitor

What is your motivation for doing a PhD?

Why did you choose your research topic/title

Your achievments

- Master of Science - University of Liverpool, United Kingdom - graduated with a Merit. - BEng - Politehnica University of Timisoara, Romania - graduated with and overall of 8.76 and a final exam mark of 9.36. - EMING student scientific symposium: 3rd Prize Certificate - Participation at BIO-Heat Workshop on “Why using SRCs as a source of ENERGY?”

What difference will this research make in your life and the lives of others?

The role of Microgrid in DG's entrance in the present utility network is vital. Modelling a microgrid is a key fact and the late developments in the microgrid modelling are to be talked about in both grid-connected and autonomous mode. Various control techniques of microgrid available for various modes of operation are to be performed. It can be reasoned that utilising networked control system, a superior control of microgrid can be obtained.

Advanced control for smart and resilient DC microgrids

A Engineering, Maths & Computing project

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Advanced control for smart and resilient DC microgrids

A Engineering, Maths & Computing project

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