Dynamic optimization of long term primary electric distribution network investments based on planning metrics

Date

2018-01-01

Author

Tor, Osman Bulent
CEBECI, Mahmut Erkut
KOC, Mehmet
Güven, Ali Nezih

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper presents methodologies of dynamic planning algorithms which are developed for optimizing long-term primary electric distribution network investments taking into account some planning metrics. First, 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 by this reduced network representation. Then, a planning algorithm, which considers the representative network model and candidate investments as inputs, is developed based on a mixed integer programming (MIP) technique. Some planning metrics are defined in order to assess optimum investment solutions technically and economically, which are determined by this planning algorithm among the candidate investments along the planning horizon (e.g., 10 year). It is aimed to assess rationality of the investments through these planning metrics. 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, Student engagement, Emotıons, Number

URI

https://hdl.handle.net/11511/39764

Collections

Department of Electrical and Electronics Engineering, Article