TY - GEN
T1 - Optimization of Electric Transmission Line Routing for a Renewable Energy Based Micro-Grid System using Geographic Information System (GIS) Spatial Analysis
AU - Tarife, Rovick P.
AU - Nakanishi, Yosuke
AU - Bondaug, John Vincent S.
AU - Irosido, Regielon V.
AU - Tahud, Anacita P.
AU - Estoperez, Noel R.
N1 - Funding Information:
ACKNOWLEDGMENT This research has been supported by JST SICORP Grant Number JPMJSC17E1. All authors thank the Techno-Economic Feasibility Study of a Micro-grid in a Remote Area Project of MSU-IIT and Phil-LiDAR 2 Program for providing the datasets needed for this study.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/27
Y1 - 2020/9/27
N2 - In this study, GIS spatial analyst tools are used to implement an alternative method of electric transmission line (ETL) routing for a renewable energy-based microgrid system. Multiple criteria, starting points and endpoints were identified and a weighted ranking system and suitability index for geographic factors were utilized to create the cost surface. A modified method from the Electric Power Research Institute-Georgia Transmission Corporation (EPRI-GTC) is also adopted for the overhead electric transmission line siting and necessary changes were applied based on the available data and authors' review on the study area. After applying the Least Cost Path (LCP) algorithm, the results produced three alternative routes based on three perspectives: The built environment, natural environment, and engineering environment. The alternative routes are then overlaid based on a simple combined perspective to create the final route. Moreover, the alternative routes are evaluated to provide a secondary route and the routes developed by engineering perspective were nominated.
AB - In this study, GIS spatial analyst tools are used to implement an alternative method of electric transmission line (ETL) routing for a renewable energy-based microgrid system. Multiple criteria, starting points and endpoints were identified and a weighted ranking system and suitability index for geographic factors were utilized to create the cost surface. A modified method from the Electric Power Research Institute-Georgia Transmission Corporation (EPRI-GTC) is also adopted for the overhead electric transmission line siting and necessary changes were applied based on the available data and authors' review on the study area. After applying the Least Cost Path (LCP) algorithm, the results produced three alternative routes based on three perspectives: The built environment, natural environment, and engineering environment. The alternative routes are then overlaid based on a simple combined perspective to create the final route. Moreover, the alternative routes are evaluated to provide a secondary route and the routes developed by engineering perspective were nominated.
KW - Analytic Hierarchy Process (AHP)
KW - Electric Transmission Line (ETL) Routing
KW - Geographic Information System (GIS)
KW - Least Cost Path (Path)
UR - http://www.scopus.com/inward/record.url?scp=85096750011&partnerID=8YFLogxK
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U2 - 10.1109/ICRERA49962.2020.9242762
DO - 10.1109/ICRERA49962.2020.9242762
M3 - Conference contribution
AN - SCOPUS:85096750011
T3 - 9th International Conference on Renewable Energy Research and Applications, ICRERA 2020
SP - 215
EP - 220
BT - 9th International Conference on Renewable Energy Research and Applications, ICRERA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Renewable Energy Research and Applications, ICRERA 2020
Y2 - 27 September 2020 through 30 September 2020
ER -