AI BASED LOAD RESPONSE FOR WIND AND SOLAR INTEGRATION AND POWER SYSTEM RELIABILITY

Dr.G.B.Mohankumar; S.Devendrakumar; M.Vaitheeswaran; B.Wilson Babu; M.Sivakumar

AI BASED LOAD RESPONSE FOR WIND AND SOLAR INTEGRATION AND POWER SYSTEM RELIABILITY

May 2021

Vol-7, Issue-3

Paper ID: 14374

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Electrical and Electronics Engineering

Keywords

DC to DC converter renewable energy grid connected photovoltaic (PV)

Abstract

The current and typical solution of smoothing renewable power generation fluctuations in power system. A based SOLAR power systems had a suitable control strategy that can effectively utilize the maximum power (MPPT) output from the DC to DC converter. As like split battery the output Inverter also classified in to TWO ratings that is called as load response inverter. Smart grid is considered as an attractive technology for monitoring and management of renewable energy grid connected plants due to its flexibility, network architecture and communication between providers and consumers. Smart grid has been deployed with renewable energy resources to be securely connected to the grid. Indeed, this technology aims to complement the demand for power generation and distributed storage. For this reason, a system powered by a photovoltaic (PV) has been chosen as an interesting solution due to its competitive cost and technical structure

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Author Information

#	Name	Institute / Affiliation
1	Dr.G.B.Mohankumar	Nandha College of Technology, Tamil Nadu,India
2	S.Devendrakumar	Nandha College of Technology, Tamil Nadu,India
3	M.Vaitheeswaran	Nandha College of Technology, Tamil Nadu,India
4	B.Wilson Babu	Nandha College of Technology, Tamil Nadu, India
5	M.Sivakumar	Nandha College of Technology, Tamil Nadu,India

How to Cite

Use the following formats to cite this article in your research.

APA Style

Dr.G.B.Mohankumar, S.Devendrakumar, M.Vaitheeswaran, Babu, B.Wilson, & M.Sivakumar (2021). AI BASED LOAD RESPONSE FOR WIND AND SOLAR INTEGRATION AND POWER SYSTEM RELIABILITY. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 1199-1202.

MLA Style

Dr.G.B.Mohankumar, et al. "AI BASED LOAD RESPONSE FOR WIND AND SOLAR INTEGRATION AND POWER SYSTEM RELIABILITY." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 1199-1202.

IEEE Style

Dr.G.B.Mohankumar, S.Devendrakumar, M.Vaitheeswaran, B.Wilson Babu, and M.Sivakumar, "AI BASED LOAD RESPONSE FOR WIND AND SOLAR INTEGRATION AND POWER SYSTEM RELIABILITY," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 1199-1202, 2021.

Vancouver Style

Dr.G.B.Mohankumar, S.Devendrakumar, M.Vaitheeswaran, Babu B.Wilson, M.Sivakumar. AI BASED LOAD RESPONSE FOR WIND AND SOLAR INTEGRATION AND POWER SYSTEM RELIABILITY. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):1199-1202.

Harvard Style

Dr.G.B.Mohankumar, S.Devendrakumar, M.Vaitheeswaran, Babu, B.Wilson, & M.Sivakumar (2021) 'AI BASED LOAD RESPONSE FOR WIND AND SOLAR INTEGRATION AND POWER SYSTEM RELIABILITY', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 1199-1202.

Chicago Style

Dr.G.B.Mohankumar, et al. "AI BASED LOAD RESPONSE FOR WIND AND SOLAR INTEGRATION AND POWER SYSTEM RELIABILITY." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1199-1202.

Turabian Style

Dr.G.B.Mohankumar, et al. "AI BASED LOAD RESPONSE FOR WIND AND SOLAR INTEGRATION AND POWER SYSTEM RELIABILITY." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1199-1202.