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

Weiqiang Dong, Yanjun Li and Ji Xiang
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Weiqiang Dong: School of Information and Electrical Engineering, Zhejiang University City College, Hangzhou 310015, Zhejiang, China
Yanjun Li: School of Information and Electrical Engineering, Zhejiang University City College, Hangzhou 310015, Zhejiang, China
Ji Xiang: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, Zhejiang, China

Energies, 2016, vol. 9, issue 10, 1-17

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.

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) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

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