Multi-Objective Optimal Planning Design Method for Stand-Alone Microgrid Systems

Article Preview

Abstract:

In this paper, a multi-objective optimal planning design model including net cost, loss of capacity and pollutant emission in a life cycle was presented for a stand-alone microgrid system with diesel generators, wind turbine generators, photovoltaic generation and lead-acid battery. In this model, the two coordinated operational strategies between diesel generators and battery, the dispatching method for diesel generators, and the reserve capacity were considered. The type and capacity of distributed generation units were selected as the optimal variables. The optimal allocation of distributed generation units and battery for an island microgrid system was carried out under the different combination objectives and control strategies by the self-developed software (Planning Design System for Microgrid, PDMG).

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2654-2659

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] National Renewable Energy Laboratory (NREL): Getting Started Guide for HOMER Legacy (Version 2. 68). Information on http: /homerenergy. com/pdf/homergettingstarted268. pdf.

Google Scholar

[2] C. D. Barley and C. B. Winn: Solar Energy. Vol. 58 (1996), p.165.

Google Scholar

[3] J. F. Manwell, A. Rogers, G. Hayman, C. T. Avelar and J. G. McGowan, et al.: Hybrid2-a hybrid system simulation model, theory manual. Information on http: /ceere. ecs. umass. edu/rerl/projects/ software/hybrid2/Hy2_theory_manual. pdf.

DOI: 10.2172/257411

Google Scholar

[4] J. F. Manwell and J. G. McGowan: Solar Energy. Vol. 50 (1993), p.399.

Google Scholar

[5] S. Diaf, G. Notton, M. Belhamel, M. Haddadi and A. Louche: Applied Energy. Vol. 85 (2008), p.968.

DOI: 10.1016/j.apenergy.2008.02.012

Google Scholar

[6] J. H. Zheng, in : Multi-objective evolutionary algorithms and applications, Science Press (2007).

Google Scholar