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
Pages :
10
From page :
19
To page :
28
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
Serial Year :
2021
Record number :
2685668
Link To Document :
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