Affiliations: [a] Research Scholar, School of Electrical Engineering, Vellore Institute of Technology, Tamilnadu, Vellore, India
| [b] Associate Professor, School of Electrical Engineering, Vellore Institute of Technology, Tamilnadu, Vellore, India
Correspondence:
[*]
Corresponding author. N. Kirn Kumar, Research Scholar, School of Electrical Engineering, Vellore Institute of Technology, Tamilnadu, Vellore, India. E-mail: neelamseeti.kiran@gmail.com.
Abstract: The natural activities and human thinking forms the basis for fuzzy logic which presents based on different application perspectives. The performance of various energy storage systems life time can be improved by utilizing fuzzy logic controllers and back up in a hybrid power system especiallywhile usingrenewable sources. The Load Frequency Controllers (LFC) using classical control techniques are tuned based on trial and error methods.Also, when system complexity increases controller gives slow response, by considering the fuzzy intelligent control these system performances are improved. A soft computing fuzzy technique is employed to maximize the efficiency from solar panel to give maximumpower output.The various applications in power systems relating to energy storage system performance for energy management, controller for controlling the load-frequency in multi-area power system and for solar systems by considering the tracking efficiency which are utilized for synchronization into the grid.The fuzzy logic provides better improvement and efficiency when compared to conventional controllers. These controllers do not have any specific or particular procedure to implement in various applications. A brief review to fuzzy logic controllers (FLC) for energy storage systems LFC and PV solar MPPT is presented.
Keywords: Battery Energy Storage System (BESS), Fuzzy Logic Controller (FLC), Maximum
Power Point Tracking (MPPT), Particle Swarm Optimization (PSO), Photo Voltaic (PV), Super Conducting
Magnetic Energy Storage System (SMES), State of Charge (SOC)
