Development of Transportation Models for Scheduling Power Plants and Electricity Distribution

DOI

10.2991/icoemis-19.2019.12How to use a DOI?

Keywords

Transportation Model; Electricity Supply Chain; Economic Dispatch; Single Echelon Economic Dispatch; Distribution;Optimization

Abstract

Transportation models are often used to solve problems of allocation and distribution of goods. This model is very simple and easy to use so that this model is widely applied to various allocation and distribution problems such as the problem of shipping goods, the selection of transport fleets, the selection of production sites, and others. However, this model has never been applied to electricity allocation and distribution. This is due to differences in the nature of goods and electricity. The loading allocation for each power plant usually uses an economic dispatch model. The Economic dispatch model is able to make allocations for generating plants that minimize fuel costs but are not able to do distribution optimization. Therefore, this study proposes the Single Echelon Economic Dispatch (SEED) models. The SEED model is the development of the transportation model. This model is formed from a combination of transportation models with economic dispatch models. Verification of the model using the Mahakam interconnection system in East Kalimantan. As a result, the SEED model is able to carry out a combined optimization between the production and distribution sides with minimum fuel cost parameters. The SEED model is also able to make a more detailed distribution than the Economic Dispatch model.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wahyuda
AU  - Muslimin
AU  - Samdito Unggul Widodo
PY  - 2019/11
DA  - 2019/11
TI  - Development of Transportation Models for Scheduling Power Plants and Electricity Distribution
BT  - Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)
PB  - Atlantis Press
SP  - 78
EP  - 86
SN  - 1951-6851
UR  - https://doi.org/10.2991/icoemis-19.2019.12
DO  - 10.2991/icoemis-19.2019.12
ID  - 2019/11
ER  -