TY - JOUR
T1 - A modular power system planning and power flow simulation framework for generating and evaluating power network models
AU - Ciechanowicz, David
AU - Pelzer, Dominik
AU - Bartenschlager, Benedikt
AU - Knoll, Alois
N1 - Publisher Copyright:
© 1969-2012 IEEE.
PY - 2017/5
Y1 - 2017/5
N2 - 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.
AB - 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.
KW - Power system planning
KW - power distribution planning
KW - power flow simulation
KW - power network model
UR - http://www.scopus.com/inward/record.url?scp=85018966281&partnerID=8YFLogxK
U2 - 10.1109/TPWRS.2016.2602479
DO - 10.1109/TPWRS.2016.2602479
M3 - Article
AN - SCOPUS:85018966281
SN - 0885-8950
VL - 32
SP - 2214
EP - 2224
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 3
M1 - 7549030
ER -