<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Optimal design of grid-connected hybrid renewable energy systems using multi-objective evolutionary algorithm

descriptionPublicationkeyboard_double_arrow_right Article , Journal 28 Oct 2017Publisher:SciTech SolutionsJournal:Scientia Iranica, volume 0, pages 0-0 (eissn: 2345-3605,

Authors: Tao Zhang; Xiaoyu Zhang; Rui Wang; Yan Zhang; Zhichao Shi;

doi: 10.24200/sci.2017.4578

Optimal design of grid-connected hybrid renewable energy systems using multi-objective evolutionary algorithm

- Summary
- Related research
  (1)
- Metrics

Abstract

The optimal design of grid-connected Hybrid Renewable Energy Systems (HRESs) is studied by using multi-objective evolutionary algorithm in this paper. With the total system cost and fuel emissions to be minimized, a two-objective optimization model of the hybrid system is established. Then, a modified preference-inspired co-evolutionary algorithm is, for the first time, applied to find the optimal conguration of a grid-connectedhybrid system. As an example, a grid-connected hybrid system, including PV panels, wind turbines, and diesel generators, has been designed and good results are obtained which show that the proposed method is effective.

Related Organizations

National University of Defense Technology
China (People's Republic of)
National University of Defense Technology
China (People's Republic of)

1 Research products, page 1 of 1

Preference-Inspired Multi-Objective Throughflow-Design Optimization Approach of Axial Flow Compressor and its Application
2020IsAmongTopNSimilarDocuments

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average