Implementation of Model to Analyse the Performance of Microturbine as in Microgrid Comparison with Fuel Cell

Implementation of Model to Analyse the Performance of Microturbine as in Microgrid Comparison with Fuel Cell

Subhajit Roy (Dr. B.C. Roy Engineering College, Durgapur, India)
Copyright: © 2016 |Pages: 24
DOI: 10.4018/IJEOE.2016070102
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As it is known Microgrid is a miniature grid consist of one or more numbers of same or by different conventional or non-conventional generation sources. Here one can consider Microturbine (MT) as the main source of generation and it may or may not be connected with the main grid. The author discussed modeling of different types of Micro turbine during implementation of mathematical modeling of split-shaft type with the help of MATLAB® Simulink®. From developed models can be describe behavior of a MicroGrid (MG) under islanded mode as MT and SOFC as the sources. SOFC can change its electrical output power (30%) high or low, but take more time to response than MT (2-3 times more). It is demonstrated that Microturbines and fuel-cells are capable of providing a load-following service in the distributed generation system. Results prove the effectiveness of the two developed models in the studying and analysis of the transient dynamic response of MG.
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Dispersed generation (DG) is predicted to play an increasing attention in the electric power system of the near future. DG is small size of generation (25kW to 1MW) and connected at the substation, distribution feeders or consumer load point (Barker and de Mello, 2000). The Micro Turbine generation (MTG) system is a typical and practical system of DG source, because of its small scale generation with fuel flexibility, reliability and power quality. It has been applied in various fields, such as power saving, co-generation, remote and premium power applications (Yan and Wang, 2009). The primary objectives (DGs) of power system have ensured a reliable and economic supply of electric energy to their consumers. Dispersed generators are of two different types depending upon the type of energy resources 1) renewable energy, such as: Ocean energy, Geothermal energy, Wind energy, Solar energy, Biomass energy and 2) Non-renewable energy, such as: Diesel generator, Small turbines .Incorporating DG into the distribution system may have positive and/or negative impacts on the customer and on the utility equipment depending on the operative condition of the DG and the distribution system.

Negative issues of DG may be instability of the voltage profile due to the bi-directional power flows, quality of supply and/or harmonics (Rahman, 2003; Kashem and Ledwich, 2004). Positive impacts and benefits could be summed as in Pepermans et al. (2005) and Barker and de Mello (2000).

Actually, distribution system is a passive network. If we incorporate DGs in this system, then it converts into active network. Thus its characteristic also changes from passive network to active network. The DGs help in distribution system increases capacity of feeder, improves voltage profile, improves power quality, improves voltage stability and system reliability and it also helps to control the frequency quality by load management of the connected network. To get best out of the DGs and to reduce extra losses during transmission, the proper allocation of DGs is also an important factor. In case of main grid connected Microgrid (MGs) the DGs positioning helps to share extra energy with the main grid (Hatziadoniu et al., 2002; Saha et al., 2015).

As already we know that the Distributed Energy Resources (DERs) are of mainly two types i.e. renewable & non-renewable. We can use any kind of these resources but we should use a particular kind and or combination of these resources to get best result & efficiency. But availability & positioning of that DER at that particular network depends on the designer’s itself. It is widely accepted that micro turbine (MT) plays and will play an important role in MGs. Their small size and ratings provide a variety of opportunities to meet applications of distribution systems (Williams, 2001; Hatziadoniu et al., 2001; Pai and Huang, 2008; Zhu and Tomsovic, 2002; Nagpal and Moshref, 2001).

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