TY - GEN
T1 - Synthetic Distribution Grid Generation Using Power System Planning
T2 - 53rd International Universities Power Engineering Conference, UPEC 2018
AU - Trpovski, Andrej
AU - Recalde, Dante
AU - Hamacher, Thomas
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/20
Y1 - 2018/11/20
N2 - Having grid models of existing power distribution systems can be essential for analysis, research and development of innovative smart grid methods and concepts. However, such models are often not available due to security concerns and confidentiality restrictions. This paper presents a novel approach for generating synthetic distribution grids that correspond to existing power distribution systems. The synthetic distribution grid generation model is defined using a power system planning optimization. The model is developed and structured to fit and utilize publicly available data of consumer demand and location, number of substations and their placement and specifications and estimate pricing of installed equipment. An equally weighted multi-objective cost minimization function of investment and operational costs is defined. To represent the physical constraints of the grid, a convex AC power flow is presented. A case study of the Singaporean power distribution system is shown.
AB - Having grid models of existing power distribution systems can be essential for analysis, research and development of innovative smart grid methods and concepts. However, such models are often not available due to security concerns and confidentiality restrictions. This paper presents a novel approach for generating synthetic distribution grids that correspond to existing power distribution systems. The synthetic distribution grid generation model is defined using a power system planning optimization. The model is developed and structured to fit and utilize publicly available data of consumer demand and location, number of substations and their placement and specifications and estimate pricing of installed equipment. An equally weighted multi-objective cost minimization function of investment and operational costs is defined. To represent the physical constraints of the grid, a convex AC power flow is presented. A case study of the Singaporean power distribution system is shown.
KW - Optimization
KW - Power Distribution
KW - Power System Planning
KW - Quadratic Programming
KW - Smart Grids
KW - Synthetic Power System
UR - http://www.scopus.com/inward/record.url?scp=85059958945&partnerID=8YFLogxK
U2 - 10.1109/UPEC.2018.8542054
DO - 10.1109/UPEC.2018.8542054
M3 - Conference contribution
AN - SCOPUS:85059958945
T3 - Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018
BT - Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 September 2018 through 7 September 2018
ER -
