Optimal Energy Storage System and Smart Switch Placement in Dynamic Microgrids With Applications to Marine Energy Integration

Wu, Xuan; Liu, Jianzhe; Men, Yuxi; Chen, Bo; Lu, Xiaonan

doi:10.1109/tste.2022.3226116

Optimal Energy Storage System and Smart Switch Placement in Dynamic Microgrids With Applications to Marine Energy Integration

Journal Article · Thu Dec 01 00:00:00 EST 2022 · IEEE Transactions on Sustainable Energy

DOI:https://doi.org/10.1109/tste.2022.3226116· OSTI ID:2326978

^[1]; ^[2]; Men, Yuxi ^[3]; ^[2]; ^[3]

AES Indiana, Indianapolis, IN (United States)
Argonne National Laboratory (ANL), Argonne, IL (United States)
Purdue University, West Lafayette, IN (United States)

Here this paper studies a dynamic microgrid (DMG) planning problem that places energy storage systems (ESSs) and smart switches (SSWs) optimally in the system. We apply the proposed methodology to applications concerning marine renewable energy (MRE). MRE is an emerging clean energy resource with enormous capacity but volatile and intermittent energy output profiles. Innovative grid-integration technologies designed to enhance the reliability of an MRE-integrated system are needed. However, there are still limited studies in this regard. Existing works have shown the promising prospect of using a dynamic microgrid (DMG) operational concept to accommodate renewable resources in distribution systems, but they usually assume fixed ESS and SSW installations. To further improve the operational flexibility of DMGs, we propose a DMG planning methodology that optimally places ESSs and SSWs so that a DMG with MRE is warranted with proper resource adequacy and topological flexibility in both the contingency and normal operations. We use realistic case studies based on a real-world distribution network and the U.S. Department of Energy's MRE dataset to verify the value and validity of the proposed work.

View Accepted Manuscript (DOE)

Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office

Grant/Contract Number:: AC02-06CH11357

OSTI ID:: 2326978

Journal Information:: IEEE Transactions on Sustainable Energy, Journal Name: IEEE Transactions on Sustainable Energy Journal Issue: 2 Vol. 14; ISSN 1949-3029

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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