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Employment of solar photovoltaic‐thermoelectric generator‐based hybrid system for efficient operation of hybrid nonconventional distribution generator
Author(s) -
Jena Sasmita,
Kar Sanjeeb Kumar
Publication year - 2020
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.4823
Subject(s) - photovoltaic system , thermoelectric generator , automotive engineering , electricity generation , process engineering , renewable energy , maximum power point tracking , solar energy , electrical engineering , environmental science , computer science , materials science , power (physics) , thermoelectric effect , engineering , physics , voltage , thermodynamics , quantum mechanics , inverter
Summary Solar photovoltaic system (SPV) has gained tremendous popularity among researchers as well as in industrialists. Although SPV is a transparent way of electricity generation; still, it suffers from lower quantum efficiency. During the conversion process, solar insolation received by the SPV array turns the system intensely heated at the back side of the modules giving rise to high temperature. This heat is further utilized by the process of thermoelectric effect for electricity generation by thermoelectric generators (TEGs). The combined photoelectric‐thermoelectric effect generates a significant amount of power for the system. This paper portrays on implementation of the aforementioned SPV‐TEG system in hybrid nonconventional distribution generator (h‐NDG) in order to retrieve enough power from SPV array giving rise to higher active power delivery to the system and lower the reactive power absorbance by the system. The comparative analysis is done under two subsystems such as solar PV‐TEG‐wind energy system (WES) over solar PV‐WES and solar PV‐TEG‐fuel cell technology (FCT) over SPV‐FCT. Several constraints like active power, reactive power, and solar power are studied for every subsystem under healthy and faulty conditions. The entire system is modeled, studied, and validated in the MATLAB‐Simulink environment.