Design of Intelligent Controller for Hybrid PV/Wind Energy Based Smart Grid for Energy Management Applications. Issue 1 (February 2021)

• Record Type: Journal Article
• Authors: Sarathkumar, D; Srinivasan, M; Stonier, Albert Alexander; Samikannu, Ravi; Vijay Anand, D
• Is Part Of: IOP conference series. Volume 1055:Issue 1(2021)
• Publication Date: 2021-02
• Subjects: Hybrid system -- Photovoltaic (PV) -- renewable energy systems (RES) -- Smart grid -- Wind energy system -- Energy management -- MATLAB/SIMULINK; Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/1055/1/012129
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: This article deals in the modelling of intelligent controller for the Hybrid photovoltaic (PV)/Wind based smart grid system. With the development of solid state electronics also power systems intelligent techniques like neural networks, fuzzy logic, expert systems take part an essential contribution in design of controller for the smart grid. The above techniques give potential tools for design and development of fault detection controller in the advanced smart grid (SG). The intelligent techniques attained in rapid evolution during previous decades and their utilization now increased rapidly in current industrial environment. Renewable energy integration, participation of customers, performance optimization is important key features of digital grid power systems. In this article presents in new method of digital grid for hybrid photovoltaic/Wind based smart grid system were developed. It consists of solar PV array systems, wind power systems, asynchronous generator, converters, MPPT systems, fuzzy logic controllers (FLC). The model was performed through MATLAB/SIMULINK environment. The dynamic performance in presented model was tested in various operating conditions. Sunlight Irradiation, heat and rate of wind statistics was collected in a power grid combined solar PV model placed in main system. In this proposed simulation model also in supervision scheme give an appropriate tool for optimization of smart grid performance.