TY - GEN
T1 - Optimization Design Suite for Expandable Micro-Grid Clusters
AU - Iwamura, Kazuaki
AU - Nakanishi, Yosuke
AU - Takamori, Hiroshi
AU - Lewlomphaisarl, Udom
AU - Estoperez, Noel
AU - Lomi, Abraham
N1 - Funding Information:
ACKNOWLEDGMENT This research was supported by the Japan Science and Technology Agency, the National Science and Technology Development Agency of Thailand, and the Department of Science and Technology of The Philippines as part of the e-ASIA Joint Research Program (e-ASIA).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/6
Y1 - 2018/12/6
N2 - In this study, we introduce an optimization design suite, referred to as the 'grid of grids optimal designer' (GGOD), as an addition to the expandable micro-grid clusters (EMGCs) for the evolving electricity generation and infrastructure sectors. EMGCs are an autonomous group of micro-grids in which clusters can generate and consume power. The GGOD is a type of simulation software suitable for Iong-term use at an electrical facility, where operation planners can plan the expansion, construction, and EMGC operation functions. One of the primary uses of the GGOD is for geospatial data, which require the execution of real world optimization planning. Here, we describe two key applications of the GGOD, including geospatial integrated resource planning for wind farm allocation and transmission configurations, as well as congestion-mitigation planning based on the nodal price approach. Moreover, a concept for the interactive use of optimization functions is also explained.
AB - In this study, we introduce an optimization design suite, referred to as the 'grid of grids optimal designer' (GGOD), as an addition to the expandable micro-grid clusters (EMGCs) for the evolving electricity generation and infrastructure sectors. EMGCs are an autonomous group of micro-grids in which clusters can generate and consume power. The GGOD is a type of simulation software suitable for Iong-term use at an electrical facility, where operation planners can plan the expansion, construction, and EMGC operation functions. One of the primary uses of the GGOD is for geospatial data, which require the execution of real world optimization planning. Here, we describe two key applications of the GGOD, including geospatial integrated resource planning for wind farm allocation and transmission configurations, as well as congestion-mitigation planning based on the nodal price approach. Moreover, a concept for the interactive use of optimization functions is also explained.
KW - Expandable micro-grid cluster
KW - Geospatial data
KW - Grid of grids optimal designer
KW - Microgrid
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85060648591&partnerID=8YFLogxK
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U2 - 10.1109/ICRERA.2018.8566707
DO - 10.1109/ICRERA.2018.8566707
M3 - Conference contribution
AN - SCOPUS:85060648591
T3 - 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
SP - 354
EP - 359
BT - 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
Y2 - 14 October 2018 through 17 October 2018
ER -
