Skip navigation
Please use this identifier to cite or link to this item:
Title: Performance Optimization of a Grid-Connected PV/Biomass-Based Hybrid Energy System Using BBO Algorithm
Authors: Chauhan A.
Khan M.T.
Srivastava A.
Saini, R. P.
Tomar A.
Sood Y.R.
Mishra S.
Published in: Lecture Notes in Electrical Engineering
Abstract: The concerns of depletion of the fossil fuel reserves and climate change have encouraged the utilization of renewable energy resources to fulfill the ever-growing demand. Renewable resources are sustainable and environment friendly. This paper is focused on design and performance optimization of a grid-connected hybrid energy system for an un-electrified village of Indian state of Uttar Pradesh. Three different combinations of renewable sources in grid environment are considered and investigated for achieving the required power reliability at user end. The total cost (TC) of each combination has been optimized under technical, social and environmental constraints using biogeography-based optimization (BBO) algorithm. Finally, a suitable combination is recommended for the selected site which offers the minimum cost for the design of the hybrid system. A sensitivity analysis has also been conducted to evaluate the most sensitive parameter of the system. © 2019, Springer Nature Singapore Pte Ltd.
Citation: Lecture Notes in Electrical Engineering, (2019), 133- 144
Issue Date: 2019
Publisher: Springer Verlag
Keywords: Demand
Renewable energy
ISBN: 9.78981E+12
ISSN: 18761100
Author Scopus IDs: 55810999500
Author Affiliations: Chauhan, A., Rajkiya Engineering College, Banda, Uttar Pradesh 210201, India
Khan, M.T., Rajkiya Engineering College, Banda, Uttar Pradesh 210201, India
Srivastava, A., Rajkiya Engineering College, Banda, Uttar Pradesh 210201, India
Saini, R.P.,
Corresponding Author: Chauhan, A.; Rajkiya Engineering CollegeIndia; email:
Appears in Collections:Conference Publications [HRE]

Files in This Item:
There are no files associated with this item.
Show full item record

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.