Optimal Design Analysis of Multimodal Hybrid AC/DC Microgrids

Authors

  • Rohan Sharma, Dr. Pramod Kumar Bhatt

DOI:

https://doi.org/10.17762/msea.v71i2.74

Abstract

The objective of this study is to test the proposed Interconnected hybrid microgrid model with inclusion of Photovoltaic Sub-System (PVSS), Wind Energy Sub System (WESS), Battery Energy Storage Sub System (BESSS) in a DC / AC Connected model which will be playing an important role in analysis of transition from electric grids to Smart Grids Systems (SGS). In the proposed model, IEEE 14 busbar distribution systems is used as a test case for the interconnection of the various Sub-systems in AC/DC hybrid mode for justifying the benchmarks of the system. Furthermore, various individual Linear and Non-Linear connected loads are used for studying the further complexities in the real power system network. A complete proposed test model is simulated and analyzed using MATLAB – Simulink Platform. The suggested electrical system will be used to examine reactive power compensation, stable and inertia evaluation, reliability, demand response research, hierarchical control, fault - tolerance control, optimization, and power storage approaches. This benchmark study allows researchers to look into dynamic stability, evaluate control techniques and structures, model diesel generator dynamics, and adjust voltage profiles, among other things. Even if it depends to a considerable extent on the application and the integrated environment, the inquiry provides for further exploration of various topologies of interconnected AC/DC HMGs, as well as dynamic studies for various AC/DC Multimodal Hybrid Microgrid (MHM) configurations. Finally, this research lays the groundwork for future research into MGs, their possible applications, and ways to increase device reliability, efficiency, and cost.

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Published

2022-03-25

How to Cite

Dr. Pramod Kumar Bhatt, R. S. (2022). Optimal Design Analysis of Multimodal Hybrid AC/DC Microgrids. Mathematical Statistician and Engineering Applications, 71(2), 138 –. https://doi.org/10.17762/msea.v71i2.74

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Section

Articles