Optimal sizing and power sharing of distributed hybrid renewable energy systems considering socio-demographic factors

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Authors

Goddard, Rohan
Zhang, Lijun
Xia, Xiaohua

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Abstract

When sizing distributed hybrid renewable energy systems (HRESs) it has been found that capital costs can significantly be reduced when socio-demographic factors are considered. Unique electricity usage patterns have previously been classified using users’ socio-demographic factors and used to optimize the size of individual stand-alone HRESs. An optimization model is formulated where an individual HRES is assigned to each of the six socio-demographic classifications and power sharing is implemented with neighboring sites in a specific configuration. Solving the optimization problem with a hybrid approach using Matlab’s genetic algorithm and fmincon results in an 82,10% reduction in capital costs compared to the system without power sharing.

Description

Applied Energy Symposium and Forum, Renewable Energy Integration with Mini/Microgrids, REM 2018, 29–30 September 2018, Rhodes, Greece

Keywords

Sizing, Optimization, Power sharing, Socio-demographic factors, Hybrid renewable energy system (HRES)

Sustainable Development Goals

Citation

Goddard, R., Zhang, L. & Xia, X. 2019, 'Optimal sizing and power sharing of distributed hybrid renewable energy systems considering socio-demographic factors', Energy Procedia, vol. 159, pp. 340-345.