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Graphical user interface for control system.

Graphical user interface for control system.

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The distributed energy resources (DER) contains several technologies, such as diesel engines, small wind turbines, photovoltaic inverters, etc. The control of DER components with storage devices and (controllable) loads, such as batteries, capacitors, dump loads, are central to the concept of the Smart Grids (SGs). A SG can operate interconnected t...

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... loads can be controlled by the central building controller which receives data and events from wireless switches and sensors. In one room, a small touch-screen user interface can be used to influence the controller policy (Fig. 2). Through its own grid control node, the building controller can get information on the status of the power grid, and adapt its control strategy accordingly. Active policies, measurement data and user settings can be communicated back to the ...

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... Geographic location of the faculty building and solar positions[15] = . ...
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Background: Less energy consumption and more efficient use of fossil-fueled technologies are among the sustainable energy targets of modern societies. The essential activities to be achieved under these objectives are to increase the distributed generation structures and increase their applicability. The distributed generation (DG) is a small-scale version of the traditional power grid, which is supported by micro turbines, hydrogen fuel cells, wind turbines, photovoltaic (PV) modules, combine heat and power systems, and energy storage units. Methods: The aim of this research is to detail performance analyze and unit sizing of proton-exchange membrane fuel cell (PEMFC)-based grid-connected distributed generation system with the help of empirical calculations. To this end, we tried to establish the system and analyze the performance of reliable operation of the system with experimental verifications. Results and Conclusions: The results demonstrate the situation of annual production about how much rated power can be generated through the real meteorological data to dispatch the power to the constant variable loads. While, 53.56% of the total energy demand is met by the utility grid, 46.44% of the demand is met by the produced energy i.e., from microgrid. The PEMFC based hybrid microgrid at Marmara University, Faculty of Technology was analyzed in detail in this study. According to the results of the performance analysis, the important points that will be highlighted and will help the researchers working in this field are as follows. Our results are encouraging and can be validated by a larger sample size with the fine weather conditions in terms of the percentage of procurement of energy.
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Thesis
The Habilitation Thesis “DEVELOPMENT of SIMULATION TOOLS for DISTRIBUTED ENERGY CONVERSION SYSTEMS towards SMART GRIDS” points out the main research that I have performed during the last ten years in the area of Energy Conversion Systems with Renewable Energy Resources and Battery Storage Systems. It is based on original contributions performed during the research activities financed by POLITEHNICA University of Timisoara, Aalborg University-Denmark, Siegen University-Germany, The Danish National Laboratory-RISO and Technical University of Denmark (DTU). The work made in this Thesis has been funded by 7 international grants/projects and by 4 national (CNCSIS) grants, as well. We have also been published more than 70 papers, in national and international journals and conference proceedings, based on the obtained results. The first part of the Habilitation Thesis, regarding scientific and professional achievements, contains 5 chapters. The first chapter gives an overview of the research roadmap of the thesis, pointing out the objectives, the main contributions, research grants and awards. The aim of the second chapter is to develop simulation models of DER components in Power System, using two dedicated software packages MATLAB/Simulink and DIgSILENT PowerFactory. These models will also be validated against measurements and further used in the next chapters for developing of control strategies and different scenarios for a future smart grid. Development of simulation models will include PV panels and Systems, Wind Turbine Generators, Energy Storage Systems and Demand-Side Control in Distribution Networks with focus on intelligent houses with actively controlled loads. The third chapter contains 3 main parts and is dedicated to control strategies developed for renewable energy systems in a distribution network. The first part, gives an overview of the state of the art control strategies for large wind turbines using induction generators. An active-stall constant-speed wind turbine controller with its actuator system for variable pitch angle and a control strategy for a pitch-controlled variable-speed wind turbine are described. Afterwards, in the second part, two different control strategies developed for variable-speed wind turbines using induction generators are described and implemented on a real-time digital platform. In the last part of this chapter two different types of voltage controllers in a distribution grid, using active loads/office building appliances and battery energy storage systems, have been implemented and tested successfully. Using the model of an intelligent office building a controller for load shifting has been developed. Two types of controllers for voltage regulation using battery energy systems have also been developed and implemented in MATLAB/Simulink and DIgSILENT PowerFactory. The Chapter four is focuses on testing of DER components with storage devices and actively controlled loads and also on electric vehicle batteries testing to study the impact of smart charging and fast charging on the power system and on the battery degradation. Two different types of EV battery packs have been tested. The purpose of the Chapter 5 is to design a distribution network with different DER Components connected along the feeders and to identify limitations of existing simulation and planning tools, with a particular focus on the challenges imposed by the introduction of Smart Grid technologies. Another important issue of this chapter is to identify critical load cases and voltage variations for the designed scenarios. Our work in research and development area, during the last ten years, has had a significant impact both in the International Academic Community, as well as in the industry. Our publications have received more than three hundreds of citations in international data bases. Also, our book chapter „Modeling and simulation of a 12 MW wind farm" published by INTECH in 2011 in the book entitled Wind Farm-Impact in power system and alternatives to improve the integration has reached to more than 5000 downloads. The second part of the Thesis, regarding to future plans for advancement and career development is based on the proven skills to conduct and coordinate high-level research and teaching activities at academic level and to initiate successful international collaborations in the field of renewable conversion systems. As future plans I am trying to attract national and EU funds (Horizon 2020 grants) to extend and improve our research lab “Intelligent control of energy conversion and storage” from POLITEHNICA University of Timisoara, Electrical Engineering Departments, and to extend our international cooperation and network. Another plan is to create and develop a Smart Grid platform, similar with that one from Denmark (www.powerlab.dk ) where I spent 3 years and to use my experience to create a research center for Master and Ph.D. students, coordinated as a result of the Habilitation Thesis.