[PDF][PDF] Artificial neural network-based electronic load controller for self-excited induction generator
S Karmakar, SN Mahato - (No. 2261) Easy Chair, 2019 - easychair.org
S Karmakar, SN Mahato
(No. 2261) Easy Chair, 2019•easychair.orgIn many remote areas, the supply of electricity through the grid becomes troublesome and
costly. In such areas exploiting renewable energy resources to produce electrical energy is
an acceptable alternative. Hydro-energy is the most dependable substitute among the other
nonconventional energy resources. Areas, where water streams and rivulets are available;
installing a picohydro power plant, is economical for stand-alone electrical power
generation. In such cases, Self-Excited Induction Generators (SEIGs) are preferred for the …
costly. In such areas exploiting renewable energy resources to produce electrical energy is
an acceptable alternative. Hydro-energy is the most dependable substitute among the other
nonconventional energy resources. Areas, where water streams and rivulets are available;
installing a picohydro power plant, is economical for stand-alone electrical power
generation. In such cases, Self-Excited Induction Generators (SEIGs) are preferred for the …
In many remote areas, the supply of electricity through the grid becomes troublesome and costly. In such areas exploiting renewable energy resources to produce electrical energy is an acceptable alternative. Hydro-energy is the most dependable substitute among the other nonconventional energy resources. Areas, where water streams and rivulets are available; installing a picohydro power plant, is economical for stand-alone electrical power generation. In such cases, Self-Excited Induction Generators (SEIGs) are preferred for the generation of electricity [1]-[4].
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