A framework for transmission-related applications of energy storage systems for wind power integration

Author

Ghofrani, M. ; Arabali, A. ; Ghayekhloo, M.

Author_Institution

EE Dept., Univ. of Washington, Bothell, WA, USA

fYear

2014

fDate

27-31 July 2014

Firstpage

1

Lastpage

5

Abstract

This paper proposes a probabilistic unit commitment (PUC) to evaluate the transmission-related applications of energy storage systems for wind power integration. Statistical distributions are used to stochastically model the wind speed and load. A (2m+1)-point estimate method incorporates the power system uncertainties into the PUC. The IEEE 24-bus system is used as a benchmark to test the proposed method for different scenarios. The distributed storage system is introduced as a solution to decrease the incremental congestion cost of the co-located wind and centralized storage system.

Keywords

energy storage; power generation dispatch; power generation scheduling; statistical distributions; wind power plants; IEEE 24-bus system; PUC; distributed storage system; energy storage systems; incremental congestion cost; power system uncertainty; probabilistic unit commitment; statistical distributions; transmission-related applications; wind power integration; Energy storage; Load modeling; Power systems; Simulation; Wind energy; Wind energy generation; Wind power generation; energy storage system; probabilistic unit commitment; transmission congestion; wind generation;

fLanguage

English

Publisher

ieee

Conference_Titel

PES General Meeting | Conference & Exposition, 2014 IEEE

Conference_Location

National Harbor, MD

Type

conf

DOI

10.1109/PESGM.2014.6938896

Filename

6938896