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