State-Of-The-Art in Microgrid-Integrated Distributed Energy Storage Sizing

Ibrahim Alsaidan, Abdulaziz Alanazi, Wenzhong Gao, Hongyu Wu and Amin Khodaei
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Ibrahim Alsaidan: Department of Electrical and Computer Engineering, University of Denver, Denver, CO 80210, USA
Abdulaziz Alanazi: Department of Electrical and Computer Engineering, University of Denver, Denver, CO 80210, USA
Wenzhong Gao: Department of Electrical and Computer Engineering, University of Denver, Denver, CO 80210, USA
Hongyu Wu: Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA
Amin Khodaei: Department of Electrical and Computer Engineering, University of Denver, Denver, CO 80210, USA

Energies, 2017, vol. 10, issue 9, 1-14

Abstract: Distributed energy storage (DES) plays an important role in microgrid operation and control, as it can potentially improve local reliability and resilience, reduce operation cost, and mitigate challenges caused by high penetration renewable generation. However, to ensure an acceptable economic and technical performance, DES must be optimally sized and placed. This paper reviews the existing DES sizing methods for microgrid applications and presents a generic sizing method that enables microgrid planners to efficiently determine the optimal DES size, technology, and location. The proposed method takes into consideration the impact of DES operation on its lifetime to enhance the obtained results accuracy and practicality. The presented model can be used for both grid-tied (considering both grid-connected and islanded modes) and isolated microgrids.

Keywords: distributed energy storage; depth of discharge; microgrid expansion; mixed integer programming; optimal sizing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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