Optimal capacity configuration method of distributed compressed air energy storage in wind farm

Author

Zhaojian Wang ; Laijun Chen ; Shengwei Mei ; Yuan Zhou

Author_Institution

Dept. of Electr. Eng., Tsinghua Univ., Beijing, China

fYear

2014

fDate

28-30 July 2014

Firstpage

7516

Lastpage

7520

Abstract

Energy storage is an effective approach to mitigate the stochastic character of renewable energy in power system. In this paper, distributed compressed air energy storage (DCAES) system is introduced and a mathematical model is proposed to obtain the optimal capacity of DCAES. To calculate the optimal capacity, the life cycle economic model of wind farm integrated with DCAES is investigated. In addition, the particle swarm optimization (PSO) algorithm is adopted to solve the problem. A typical power system is used to validate the proposed model, and results show that the overall system economy is increased remarkably when DCAES is used in the power system.

Keywords

compressed air energy storage; particle swarm optimisation; wind power plants; DCAES system; PSO algorithm; distributed compressed air energy storage; life cycle economic model; mathematical model; optimal capacity; optimal capacity configuration method; particle swarm optimization; power system; renewable energy; wind farm; Energy storage; Gears; Generators; Mathematical model; Turbines; Wind farms; Wind power generation; DCAES; PSO; capacity configuration; life cycle economic model;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6896251

Filename

6896251