A modular power system planning and power flow simulation framework for generating and evaluating power network models

David Ciechanowicz, Dominik Pelzer, Benedikt Bartenschlager, Alois Knoll

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

This work presents a modular power system planning and power flow simulation framework for the generation and evaluation of power network models (PNM) using spatially resolved demand data. It targets users who want to study large-scale power grids having only limited information on the actual power system. Besides creating cost minimal PNMs, users are able to flexibly configure the framework to produce PNMs individually tailored to their specific use cases. Both greenfield and expansion planning are possible. The framework further comprises a built-in ac power flow simulation designed to simulate power flows in large-scale networks. This allows users to conduct a great variety of simulation studies on entire power systems, which would otherwise not be possible without access to comprehensive power grid data. Apart from the presentation of the methodology, this work comprises a demonstration of the power system planning process at the example of Singapore. The investigation shows that the framework is capable of generating a network that matches the topological and electrical metrics of the Singapore power grid.

Original languageEnglish
Article number7549030
Pages (from-to)2214-2224
Number of pages11
JournalIEEE Transactions on Power Systems
Volume32
Issue number3
DOIs
StatePublished - May 2017

Keywords

  • Power system planning
  • power distribution planning
  • power flow simulation
  • power network model

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