Multi-Object Optimization Research about Wind/Solar Hybrid Generation System

Article Preview

Abstract:

Wind/solar hybrid system optimization is a key point for cost control. Here a multi-object optimization model is raised. Then a multi-object optimization method based on GA is used to find the Pareto solutions of wind/solar hybrid system. The test data shows that this method can get a good result.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

337-341

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Shakya B D, Lu A, Musgrave P. Technical feasibility and financial analysis of hybrid wind-photovoltaic system with hydrogen storage for Cooma[J]. International Journal of Hydrogen Energy, 2005(30): 9-20.

DOI: 10.1016/j.ijhydene.2004.03.013

Google Scholar

[2] Billinton R, Karki R. Capacity expansion of small isolated power systems using PV and wind energy[J]. IEEE Transactions on power systems, 2001, 16(4): 892-897.

DOI: 10.1109/59.962442

Google Scholar

[3] Prasad R A, Natarajan E. Optimization of integrated photovoltaic-wind power generation systems with battery storage[J]. Energy, 2006(31): 1943-(1954).

DOI: 10.1016/j.energy.2005.10.032

Google Scholar

[4] Nelson D B, Nehrir M H, Wang C. Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems[J]. Renewable Energy, 2006(31): 1641-1656.

DOI: 10.1016/j.renene.2005.08.031

Google Scholar

[5] MAO Mei-qing, On the optimal design of wind-solar hybrid power system, Journal of Hefei University of Technology(Natural Science), vol 24, No 6, 2001, P 1036-1039.

Google Scholar

[6] Ding Shipan, Xu Honghua, STUDY ON CONTROL AND MONITORING SYSTEM OF PV/WIND HYBRID POWER SYSTEM. ACT A ENERGIAE SOLARIS SINICA. vol 24, No4, 2003. P572-575.

Google Scholar

[7] Li shuang, the optimization of solar/wind power system. Master desis, Chinese Academy of Sciences, (2001).

Google Scholar

[8] Ai Bin, OPTIMUM SIZING OF PV/WIND HYBRID SYSTEM ( I)CAD METHOD, Acta Energiae Solaris Sinica, 2003, Aug, No 4, P540-546.

Google Scholar

[9] Ai Bin, OPTIMALLY DESIGN OF PV/WIND HYBRID SYSTEM(II). A CASE STUDY. 2003, oct, NO, 5 P P718-723.

Google Scholar

[10] Liu Zhihuang, Optimization design model of wind/solar hybrid generation plant, Computer Engineering and Design, 2008(18). P P4836-4838.

Google Scholar

[11] Koza J R. Hierarchical genetic algorithms operating on populations of computer programs[C]. Proceedings of the l lth international Joint Conference on artificial intelligence. San Mateo: Morgan Kaufmann Publ Inc. 1989. Part 1: 768-774.

Google Scholar

[12] Eckart Zitzler. Evolutionary algorithms for multiobective optimization: methods and applications[D]. Computer Engineering and networks laboratory, Swiss Federal Institute of Technology Zurich, Swiss: (1999).

Google Scholar

[13] Liu, Zhihuang, Battery capacity evaluation research on wind\battery hybrid generation system. Advanced Materials Research. 512-515, P1022-1026, (2012).

DOI: 10.4028/www.scientific.net/amr.512-515.1022

Google Scholar

[14] Liu Zhihuang, A new calculation mode of wind power, Power and Energy Engineering Conference, 2009. APPEEC (2009).

Google Scholar

[15] Liu Zhihuang, Research and implementation of wind power evaluation system, Computer Engineering and Design, 2010, 10, P P2363-2366.

Google Scholar