Engineering energy storage sizing method considering the energy conversion loss on facilitating wind power integration

Author:

Cao Minjian1ORCID,Xu Qingshan1,Nazaripouya Hamidreza2,Chu Chi‐Cheng3,Pota Hemanshu R.4,Gadh Rajit3

Affiliation:

1. School of Electrical EngineeringSoutheast UniversityNo.2 SipailouNanjingPeople's Republic of China

2. Winston Chung Global Energy CenterUniversity of CaliforniaRiverside, 900 University AvenueRiversideCAUSA

3. Smart Grid Energy Research CenterUniversity of CaliforniaLos Angeles, 420 Westwood PlazaLos AngelesCAUSA

4. School of Engineering and Information TechnologyThe University of New South WalesPO Box 7916CanberraBCACT 2610Australia

Funder

China Scholarship Council

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Reference26 articles.

1. A review of energy storage technologies for wind power applications;Daz González F.;Renew. Sust. Energy Rev.,2012

2. Short-Term Wind Power Interval Forecasting Based on an EEMD-RT-RVM Model

3. Optimal energy storage sizing and control for wind power applications;Brekken T.K.;IEEE Trans. Sustain. Energy,2011

4. Optimal operation of stationary and mobile batteries in distribution grids;Wang Y.;Appl. Energy,2017

5. Review of energy storage system for wind power integration support

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