GIS application to distribution substation planning in MEA's power system

Phayomhom, A.; Rugthaicharoencheep, N.; Chaitusaney, Surachai

doi:10.1109/ecticon.2015.7206931

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…The method minimizes labor and logistic costs while at the same time providing better database storage compared to conventional methods. In [12], the authors propose GIS application to distribution substation planning for the metropolitan electricity authority distribution systems. The main objective is to serve future load growth and increase the reliability of the distribution systems.…”

Section: Introductionmentioning

confidence: 99%

A GIS-Based Approach for Primary Substations Siting and Timing Based on Voronoi Diagram and Particle Swarm Optimization Method

et al. 2022

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The paper aims to provide primary substations’ optimal siting and timing to expand existing distribution networks. The proposed methodology relies on three main features: a geographic information system for capturing, elaborating, and displaying spatial input data; a particle swarm optimization algorithm to locate and timing the new primary substations; a Voronoi diagram-based approach to find the primary substation service areas and loading. The optimization criteria follow the approach of serving every customer from the nearest primary substation to ensure that the distribution delivery distance is as short as possible, reducing feeders’ cost, electric losses, and service interruption exposure. The algorithm also considers the primary substation transformers’ capacity limit. Thanks to Unareti, the distribution system operator of Milan and Brescia, the methodology was tested by carrying out several simulations, progressively increasing the number of new primary substations. The results obtained confirm the proposed approach’s effectiveness and show that the methodology is a valuable tool to guide Unareti, and distribution system operators in general, in expanding distribution networks to face the challenges of the energy transition.

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Section: Introductionmentioning

confidence: 99%

A GIS-Based Approach for Primary Substations Siting and Timing Based on Voronoi Diagram and Particle Swarm Optimization Method

et al. 2022

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“…For the urban distribution network where the electric lines are usually routed alongside streets, in [20], a shortest pathbased method is presented with GIS to decide line routes and substation sites in an integrated way. Further in [21,22] the GISbased database and distribution planning software are introduced. In [23], a two-stage electric planning method is proposed where on the first stage the candidate line routes are generated based on GIS and the optimal routes are obtained on the second stage.…”

Section: Introductionmentioning

confidence: 99%

Hexagon raster‐based method for distribution network planning considering line routes and pole locations

Zhang

2020

IET Generation, Transmission & Distribution

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GIS-based optimal siting and sizing of substation using semi-supervised learning

Shi

Guo

et al. 2017

2017 IEEE Green Energy and Smart Systems Conference (IGESSC)

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GIS application to distribution substation planning in MEA's power system

Cited by 5 publications

References 5 publications

A GIS-Based Approach for Primary Substations Siting and Timing Based on Voronoi Diagram and Particle Swarm Optimization Method

A GIS-Based Approach for Primary Substations Siting and Timing Based on Voronoi Diagram and Particle Swarm Optimization Method

Hexagon raster‐based method for distribution network planning considering line routes and pole locations

GIS-based optimal siting and sizing of substation using semi-supervised learning

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