Determination of reliability constrained optimal resource mix for an autonomous hybrid power system using Particle Swarm Optimization

Priyanka Paliwal, N.P. Patidar and R.K. Nema

Renewable Energy, 2014, vol. 63, issue C, 194-204

Abstract: The determination of type of generation technology suitable for an autonomous power system calls for comprehensive planning. In this paper, a systematic approach for determination of optimal mix of resources is presented for an autonomous hybrid power system. The considered constituent resources comprise of diesel, photovoltaic, wind and battery storage. A techno-socio-economic criterion is formulated in order to determine optimum combination of resources. Reliability evaluation forms the basis of planning problem and has been carried out using analytical technique. The proposed formulation has been analyzed for different resource mix configurations for an autonomous power system located in Jaisalmer, Rajasthan, India. Particle Swarm Optimization (PSO) has been used to determine optimal component sizing for each of the configuration.

Keywords: Analytical technique; Autonomous hybrid power system; Battery storage; Particle Swarm Optimization (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148113004709
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:63:y:2014:i:c:p:194-204

DOI: 10.1016/j.renene.2013.09.003

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().