Title :
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
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;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896251
