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Energies 2016, 9(10), 785; doi:10.3390/en9100785

Optimal Sizing of a Stand-Alone Hybrid Power System Based on Battery/Hydrogen with an Improved Ant Colony Optimization

1
School of Information and Electrical Engineering, Zhejiang University City College, Hangzhou 310015, Zhejiang, China
2
College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, Zhejiang, China
3
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, Zhejiang, China
*
Author to whom correspondence should be addressed.
Academic Editor: Hai-Wen Li
Received: 24 July 2016 / Revised: 19 September 2016 / Accepted: 20 September 2016 / Published: 28 September 2016
View Full-Text   |   Download PDF [1127 KB, uploaded 28 September 2016]   |  

Abstract

A distributed power system with renewable energy sources is very popular in recent years due to the rapid depletion of conventional sources of energy. Reasonable sizing for such power systems could improve the power supply reliability and reduce the annual system cost. The goal of this work is to optimize the size of a stand-alone hybrid photovoltaic (PV)/wind turbine (WT)/battery (B)/hydrogen system (a hybrid system based on battery and hydrogen (HS-BH)) for reliable and economic supply. Two objectives that take the minimum annual system cost and maximum system reliability described as the loss of power supply probability (LPSP) have been addressed for sizing HS-BH from a more comprehensive perspective, considering the basic demand of load, the profit from hydrogen, which is produced by HS-BH, and an effective energy storage strategy. An improved ant colony optimization (ACO) algorithm has been presented to solve the sizing problem of HS-BH. Finally, a simulation experiment has been done to demonstrate the developed results, in which some comparisons have been done to emphasize the advantage of HS-BH with the aid of data from an island of Zhejiang, China. View Full-Text
Keywords: hybrid system based on battery and hydrogen (HS-BH); hydrogen storage subsystem; ant colony optimization (ACO); annual system cost; loss of power supply probability (LPSP) hybrid system based on battery and hydrogen (HS-BH); hydrogen storage subsystem; ant colony optimization (ACO); annual system cost; loss of power supply probability (LPSP)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Dong, W.; Li, Y.; Xiang, J. Optimal Sizing of a Stand-Alone Hybrid Power System Based on Battery/Hydrogen with an Improved Ant Colony Optimization. Energies 2016, 9, 785.

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