Title of article :
Optimal selection and sizing of hybrid energy storage systems for wind power dispatching
Author/Authors :
KHOSRAVI, MARZIEH School of Electrical and Computer Engineering - College of Engineering - University of Tehran - North Kargar st - Tehran, Iran , AFSHARNIA, SAEED School of Electrical and Computer Engineering - College of Engineering - University of Tehran - North Kargar st - Tehran, Iran , FARHANGI, SHAHROKH School of Electrical and Computer Engineering - College of Engineering - University of Tehran - North Kargar st - Tehran, Iran
Abstract :
Wind power uncertainty is one of the problems in large-scale wind farms integration to the network. The
use of Energy Storage Systems (ESSs) is a practical solution to enhance availability and power dispatching
possibility of renewable energy sources (RESs). RESs need an ESS with high power and energy capacity
while none of ESSs has this feature at the same time. The accepted solution for this problem is using
the hybrid energy storage system (HESS). In this paper, HESS optimal sizing and power dispatching
of wind-HESS system are considered, simultaneously, and the problem of high storage capacity in the
modified min-max wind power dispatching method is resolved by utilizing the limited min-max wind
power dispatching method. The optimal types and capacity of HESS are determined based on multiobjective
optimization function with objectives of maximizing the net present value and storage lifetime.
Furthermore, in short-term power management control, the wind-HESS performance and delivering the
prescheduled and constant power to the network are investigated and HESS charge-discharge cycles are
controlled to work in safety range. Finally, the proposed method and short-term power management are
evaluated by a wind farm real data, which is scaled down to 3 MW power level for better comparison
with other studies.
Keywords :
Energy storage optimal sizing , wind-HESS system , multi-objective optimization function , NSGA-II method , short-term power management control
Journal title :
Journal of Energy Management and Technology