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2022 | OriginalPaper | Chapter

Techno-Socio-Economic Sizing of Solar–Diesel Generator-Based Autonomous Power System Using Butterfly-PSO

Author : Priyanka Paliwal

Published in: Advances in Renewable Energy and Electric Vehicles

Publisher: Springer Singapore

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Abstract

The autonomous power systems put forward a feasible and economical alternative for electrification of remote areas which do not have access to grid. Instead of employing only diesel generators for autonomous applications, it can be used in combination with renewable energy sources such as solar and wind. This can significantly offset the harmful environmental impacts produced by diesel generator. However, solar energy is highly variable. Thus, if system is not optimally designed, it can adversely affect the reliability. In this paper, a techno-socio-economic sizing of components of autonomous power system (APS) based on solar and diesel generators has been conducted. The variability of solar irradiance has been modelled using beta probability density function. A proficient bio-inspired meta-heuristic called as Butterfly-PSO has been used for solving optimization problem. The technical criteria considered is expected energy not served (EENS). Total life cycle cost (TLCC) has been used as economic criteria. The social criterion has been implemented by considering impact of emissions on health and general well-being. The formulation has been implemented by considering a case study on APS located in Jaisalmer, India.

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Title: Techno-Socio-Economic Sizing of Solar–Diesel Generator-Based Autonomous Power System Using Butterfly-PSO
Author: Priyanka Paliwal
Publisher: Springer Singapore
Book: Advances in Renewable Energy and Electric Vehicles
Print ISBN: 978-981-16-1641-9

Electronic ISBN: 978-981-16-1642-6

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-981-16-1642-6_33