DC MICRO GRID FOR A SMART RAILWAY STATION INTEGRATING RENEWABLE SOURCES
DC-DC converter, battery storage, ANFIS, PV System, DC Micro Grids, Grid stability, AC Micro-grid.
The nonlinear low-level distributed controller for a DC Micro Grid integrated with Smart Railway Station which is capable to recover trains’ braking energy. The DC Micro Grid is composed by a number of elements: two different types of renewable energy sources (regenerative braking energy recovery from the trains and photovoltaic panels), two kinds of storages acting at different time scales (a battery and a super capacitor), a DC load representing an aggregation of all loads in the Micro-Grid, and the connection with the main AC grid. A hybrid DC micro-grid with a stochastic power resource such as a PV, Photovoltaic, battery, and a super capacitor is studied in this project to stabilize the voltage. The PV is considered as the main power resource while battery and super capacitor are considered as supplementary power sources for long-term and short-term power insufficiency. Fuzzy logic, namely ANFIS, controller is proposed to control bus voltage, and decreasing the stress upon the battery of , and transfer energy between ancillary sources in an appropriate timely manner. The proposed controller is compared to the conventional controller, and the effectiveness of the proposed method is determined by a simulation for various types of energy inequality conditions.
"DC MICRO GRID FOR A SMART RAILWAY STATION INTEGRATING RENEWABLE SOURCES", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.d734-d738, March-2023, Available :https://ijnrd.org/papers/IJNRD2303394.pdf
Volume 8
Issue 3,
March-2023
Pages : d734-d738
Paper Reg. ID: IJNRD_189505
Published Paper Id: IJNRD2303394
Downloads: 000118846
Research Area: Electrical Engineering
Country: Chennai, Tamilnadu, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
