Multi-Objective optimisation of a micro-grid hybrid power system for household application

Marek Jaszczur, Qusay Hassan, Patryk Palej and Jasim Abdulateef

Energy, 2020, vol. 202, issue C

Abstract: This research study aimed to design and optimise hybrid renewable energy systems at two optimisation objectives. The economic and environmental optimisation objectives of four hybrid power system scenarios were tested based on a non-dominated sorting genetic algorithm. The selected optimisation objectives were used simultaneously and parallel to sensitivity analysis in order to determine optimum system configuration under specific criteria. The environmental objective targeted the reduction of CO2 emissions, which resulted in a system with high renewable energy fractions. The economic objective targeted the reduction of system cost (net percentage cost), which resulted in a system size that could meet desired electrical loads. The novelty of this work lay in determining the relationship between two different optimisation objectives i.e., environmental and economic. Result showed that the optimisation process under the economic objective recorded the lowest energy cost for all scenarios with and without storage units. By contrast, the optimisation process under the environmental objective demonstrated a higher system cost value compared with that in the case of the economic optimisation objective for all scenarios. The analysis also shows the CO2 emission with and without considering systems components manufacturing primary emissions.

Keywords: Renewable sources of energy; Hybrid systems; Energy safety; Optimisation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:202:y:2020:i:c:s0360544220308458

DOI: 10.1016/j.energy.2020.117738

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