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Recent Advances in Computer Science and Communications

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ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

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Research Article

Optimization of PV Based Standalone Hybrid Energy System using Cuckoo Search Algorithm

Author(s): Vinay Anand Tikkiwal*, Sajai Vir Singh and Hariom Gupta

Volume 13, Issue 3, 2020

Page: [414 - 421] Pages: 8

DOI: 10.2174/2213275912666190304160130

Price: $65

Abstract

Background: Renewable sources of energy have emerged as a promising eco-friendly alternative to the conventional and non-renewable sources of energy. However, highly variable and intermittent nature of renewable sources acts as a big hurdle in their widespread adoption. Hybrid energy systems provide an efficient and reliable solution to this issue, especially for the non-grid connected or stand-alone systems.

Objective: The study deals with the design and optimization of a stand-alone hybrid renewable energy system.

Methods: Two different configurations consisting of PV/W/B/DG have been modeled and optimized for lower annualized cost using cuckoo search, a meta-heuristic algorithm. Analysis of these system configurations has been carried to meet the energy demand at the least annualized cost.

Results and Conclusion: Using a real world data for an existing educational organization in India, it is proven that the proposed optimization method meets all the requirements of the system and PV/B/DG configuration returns a lower annualized cost as well as leads to lower emissions.

Keywords: Renewable energy, hybrid energy systems, optimization, PV systems, cuckoo search, hybrid energy systems.

Graphical Abstract

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