dc.contributor.author | Human, Gerhardus | |
dc.contributor.author | Van Schoor, George | |
dc.contributor.author | Uren, Kenneth R. | |
dc.date.accessioned | 2016-04-11T07:51:57Z | |
dc.date.available | 2016-04-11T07:51:57Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Human, G. et al. 2014. Interdependent multi-objective sizing and control optimisation of a renewable energy hydrogen system. IFAC 2014. Proceedings of the 19th World Congress: 10257-10262. [https://doi.org/10.3182/20140824-6-ZA-1003.02416] | en_US |
dc.identifier.issn | 1474-6670 | |
dc.identifier.uri | http://hdl.handle.net/10394/16896 | |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S1474667016432416 | |
dc.identifier.uri | https://doi.org/10.3182/20140824-6-ZA-1003.02416 | |
dc.description.abstract | This paper presents a sizing and control optimisation architecture for the design
and evaluation of a small-scale stand-alone hybrid PV-wind-battery system for the production
of hydrogen (H2) using proton exchange membrane (PEM) technology. Three objectives are
considered simultaneously namely cost, efficiency and reliability. For this task an optimisation
approach is developed combining a single objective genetic algorithm (GA) with a multiobjective
GA (MOGA) to optimise nine system sizing variables and six power management
system control set-point variables. The nine sizing and six control variables are combined to
form a solution vector. The optimisation algorithm searches the search space, with user defined
boundaries, for non-dominated solution vectors. The result is a set of solution vectors which
are useful in the selection of components for the design and evaluation of these systems. The
optimisation approach developed sufficiently searches the bounded search space and provides
results in the form of a set of non-dominated solution vectors. These results are useful in
understanding how the different components of such a non-linear complex system affect each
other as well as the three objectives considered in this study | en_US |
dc.description.sponsorship | HySA Infrastructure
DST key program KP5 | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Renewable energy | en_US |
dc.subject | hydrogen production | en_US |
dc.subject | multi-objective optimisation | en_US |
dc.subject | sizing | en_US |
dc.subject | control | en_US |
dc.title | Interdependent multi-objective sizing and control optimisation of a renewable energy hydrogen system | en_US |
dc.type | Presentation | en_US |
dc.contributor.researchID | 20828179 - Human, Gerhardus | |
dc.contributor.researchID | 12134457 - Van Schoor, George | |
dc.contributor.researchID | 12064203 - Uren, Kenneth Richard | |