Synthetic Distribution Grid Generation Using Power System Planning: Case Study of Singapore

Andrej Trpovski; Dante Recalde; Thomas Hamacher

doi:10.1109/UPEC.2018.8542054

Synthetic Distribution Grid Generation Using Power System Planning: Case Study of Singapore

Andrej Trpovski
, Dante Recalde
, Thomas Hamacher

Chair of Renewable and Sustainable Energy Systems

TUM CREATE

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

23 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538629109
DOIs	https://doi.org/10.1109/UPEC.2018.8542054
State	Published - 20 Nov 2018
Event	53rd International Universities Power Engineering Conference, UPEC 2018 - Glasgow, United Kingdom Duration: 4 Sep 2018 → 7 Sep 2018

Publication series

Name	Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018

Conference

Conference	53rd International Universities Power Engineering Conference, UPEC 2018
Country/Territory	United Kingdom
City	Glasgow
Period	4/09/18 → 7/09/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Optimization
Power Distribution
Power System Planning
Quadratic Programming
Smart Grids
Synthetic Power System

Access to Document

10.1109/UPEC.2018.8542054

Cite this

Trpovski, A., Recalde, D., & Hamacher, T. (2018). Synthetic Distribution Grid Generation Using Power System Planning: Case Study of Singapore. In Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018 Article 8542054 (Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UPEC.2018.8542054

Trpovski, Andrej ; Recalde, Dante ; Hamacher, Thomas. / Synthetic Distribution Grid Generation Using Power System Planning : Case Study of Singapore. Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018).

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title = "Synthetic Distribution Grid Generation Using Power System Planning: Case Study of Singapore",

abstract = "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.",

keywords = "Optimization, Power Distribution, Power System Planning, Quadratic Programming, Smart Grids, Synthetic Power System",

author = "Andrej Trpovski and Dante Recalde and Thomas Hamacher",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 53rd International Universities Power Engineering Conference, UPEC 2018 ; Conference date: 04-09-2018 Through 07-09-2018",

year = "2018",

month = nov,

day = "20",

doi = "10.1109/UPEC.2018.8542054",

language = "English",

series = "Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018",

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Trpovski, A, Recalde, D & Hamacher, T 2018, Synthetic Distribution Grid Generation Using Power System Planning: Case Study of Singapore. in Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018., 8542054, Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018, Institute of Electrical and Electronics Engineers Inc., 53rd International Universities Power Engineering Conference, UPEC 2018, Glasgow, United Kingdom, 4/09/18. https://doi.org/10.1109/UPEC.2018.8542054

Synthetic Distribution Grid Generation Using Power System Planning: Case Study of Singapore. / Trpovski, Andrej; Recalde, Dante; Hamacher, Thomas.
Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8542054 (Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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 - https://www.scopus.com/pages/publications/85059958945

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 -

Trpovski A, Recalde D, Hamacher T. Synthetic Distribution Grid Generation Using Power System Planning: Case Study of Singapore. In Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8542054. (Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018). doi: 10.1109/UPEC.2018.8542054

Synthetic Distribution Grid Generation Using Power System Planning: Case Study of Singapore

Abstract

Publication series

Conference

UN SDGs

Keywords

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