Socio-techno-economic design of hybrid renewable energy system using optimization techniques

Yashwant Sawle, S.C. Gupta and Aashish Kumar Bohre

Renewable Energy, 2018, vol. 119, issue C, 459-472

Abstract: This paper presents the optimal hybrid power system design including various configurations of renewable energy generation. To decide the optimal configuration of parameters a new multi-objective function with six separate objectives of hybrid renewable system is presented using GA, PSO, BFPSO and TLBO optimization techniques. The different parameters namely technical (LPSP, Renewable factor), economical (COE, Penalty & Fuel consumption) and social (Job creation, HDI & PM) features are investigated as objectives simultaneously for optimal design of hybrid system. The design consideration of hybrid system using a novel PM factor, human health impacts are directly shown whereas pollutant emission is measured in the hybrid system design. Based on the minimum value of multi-objective function optimal values are decided for objective indices. For optimal configuration including various combinations of wind, PV, diesel generator, biomass and battery bank, separate cases from I to VI of hybrid system are tested. Performance of TLBO is found to be better than BFPSO, PSO and GA as per the analysis of results for individual cases. Also the case I found to be the most efficient solution among all cases.

Keywords: HDI; JCI; Particular matter; Renewable factor; Cost of energy; HRES (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:119:y:2018:i:c:p:459-472

DOI: 10.1016/j.renene.2017.11.058

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