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Optimization of long-term investments of electric distribution systems considering planning metrics
Date
2017-04-21
Author
KOC, Mehmet
TOR, Osman Bulent
CEBECI, Mahmut Erkut
Güven, Ali Nezih
GULER, Firat
TASKIN, Hacer
TUNCER, Atiye
OKUL, Ufuk
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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This paper presents a dynamic planning algorithm methodology which optimizes long-term primary electric distribution network investments considering planning metrics. An algorithm which calculates a representative primary network model of distribution grids, whose primary and secondary networks are intricate, is developed. It is aimed to facilitate assessment of primary distribution network investment requirements and thereby defining grid investment candidates effectively. A planning algorithm, which considers representative primary network model and candidate planning investments as inputs, is developed based on a mixed integer programming (MIP) technique. Some planning metrics are defined in order to technically and economically assess optimum investments along the planning horizon. DIgSILENT PowerFactory (PF) software is utilized in technical analysis to assess impacts of candidate grid investments on technical constraints. The algorithms and planning metrics developed in the study are tested satisfactorily on pilot regions of Akdeniz Electric Distribution Company in Turkey.
Subject Keywords
Dynamic investment optimization
,
Electric distribution grids
,
Mixed integer programming
,
Planning metrics
URI
https://hdl.handle.net/11511/38320
DOI
https://doi.org/10.1109/sgcf.2017.7947602
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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M. KOC et al., “Optimization of long-term investments of electric distribution systems considering planning metrics,” 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38320.