Loading

Solar Power and Wind Power Management System Using Power Line Communication
S.P. Vijayaragavan1, V. Vijayalakshmi2
1S.P. Vijayaragavan, Associate Professor/EEE, Bharath Institute of Higher Education and Research, Chennai.
2V. Vijayalakshmi, PG Scholar-EEE, Bharath Institute of Higher Education and Research, Chennai.

Manuscript received on 20 April 2019 | Revised Manuscript received on 05 May 2019 | Manuscript published on 30 May 2019 | PP: 1-7 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1386058119/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This undertaking proposes Genetic Algorithm based TCSC Compensator in solar-wind based hybrid station for Reactive power administration and transient dependability examination. It likewise intends to choose the setting parameters of TCSC (Thyristor Controlled Series Compensator) controller utilizing Genetic Algorithm (GA) or Genetic Algorithm (GA) to relieve little flag motions. The independent hybrid framework has been re-enacted under various stacking conditions for which an exchange work show has been considered. Effects because of variable load, Wind control input and sunlight based insolation have been contemplated and the definite conduct of the framework has been considered amid typical and blames condition. Reproduction results identified with Reactive power remuneration and voltage steadiness have been ad lobbed with GA or GA. I
Keywords: TCSC, GA, Solar Power and Wind Power, Communication.
Scope of the Article: Economics of Energy Harvesting Communications