TY - JOUR
T1 - Multi-Criteria Optimization of the Deployment of a Grid for Rural Electrification Based on a Heuristic Method
AU - Ortiz-Matos, L.
AU - Aguila-Tellez, A.
AU - Hincapié-Reyes, R. C.
AU - González-Sanchez, J. W.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2017/7/10
Y1 - 2017/7/10
N2 - In order to design electrification systems, recent mathematical models solve the problem of location, type of electrification components, and the design of possible distribution microgrids. However, due to the amount of points to be electrified increases, the solution to these models require high computational times, thereby becoming unviable practice models. This study posed a new heuristic method for the electrification of rural areas in order to solve the problem. This heuristic algorithm presents the deployment of rural electrification microgrids in the world, by finding routes for optimal placement lines and transformers in transmission and distribution microgrids. The challenge is to obtain a display with equity in losses, considering the capacity constraints of the devices and topology of the land at minimal economic cost. An optimal scenario ensures the electrification of all neighbourhoods to a minimum investment cost in terms of the distance between electric conductors and the amount of transformation devices.
AB - In order to design electrification systems, recent mathematical models solve the problem of location, type of electrification components, and the design of possible distribution microgrids. However, due to the amount of points to be electrified increases, the solution to these models require high computational times, thereby becoming unviable practice models. This study posed a new heuristic method for the electrification of rural areas in order to solve the problem. This heuristic algorithm presents the deployment of rural electrification microgrids in the world, by finding routes for optimal placement lines and transformers in transmission and distribution microgrids. The challenge is to obtain a display with equity in losses, considering the capacity constraints of the devices and topology of the land at minimal economic cost. An optimal scenario ensures the electrification of all neighbourhoods to a minimum investment cost in terms of the distance between electric conductors and the amount of transformation devices.
UR - http://www.scopus.com/inward/record.url?scp=85026209637&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/73/1/012020
DO - 10.1088/1755-1315/73/1/012020
M3 - Ponencia publicada en las memorias del evento con ISSN
AN - SCOPUS:85026209637
SN - 1755-1307
VL - 73
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012020
T2 - 2017 International Conference on Sustainable Energy Engineering, ICSEE 2017
Y2 - 12 June 2017 through 14 June 2017
ER -