Primary Distribution Feeder Reinforcement Model With Network Constraints

Abdullah A. Almehizia; Fahad S. Al-Ismail

doi:10.1109/ACCESS.2023.3309558

Primary Distribution Feeder Reinforcement Model With Network Constraints

Abdullah A. Almehizia^*, Fahad S. Al-Ismail

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

The paper evaluates the primary distribution feeder reinforcement options due to increased electrical demand. A sizing and allocation optimization model based on stochastic Mixed Integer Nonlinear Programming (MINLP) is proposed to realize and asses various electrical distribution feeder upgrade options. The options include transformer reinforcement, adding new cables, installing Photovoltaic (PV) systems, and Battery Energy Storage systems (BESSs). Scenario generation and clustering address the demand and PV power uncertainties. A normal distribution is used to model the demand uncertainty and provide a sensitive insight into the system. The developed model was tested on an 18-bus distribution feeder from an industrial area in Riyadh, Saudi Arabia. The results identified BESS and PV systems as viable reinforcement options.

Original language	English
Pages (from-to)	92752-92765
Number of pages	14
Journal	IEEE Access
Volume	11
DOIs	https://doi.org/10.1109/ACCESS.2023.3309558
State	Published - 2023
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Keywords

Distribution network expansion
energy storage
feeder upgrade
hybrid systems optimization

ASJC Scopus subject areas

General Computer Science
General Materials Science
General Engineering

UN SDGs

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

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10.1109/ACCESS.2023.3309558

Cite this

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title = "Primary Distribution Feeder Reinforcement Model With Network Constraints",

abstract = "The paper evaluates the primary distribution feeder reinforcement options due to increased electrical demand. A sizing and allocation optimization model based on stochastic Mixed Integer Nonlinear Programming (MINLP) is proposed to realize and asses various electrical distribution feeder upgrade options. The options include transformer reinforcement, adding new cables, installing Photovoltaic (PV) systems, and Battery Energy Storage systems (BESSs). Scenario generation and clustering address the demand and PV power uncertainties. A normal distribution is used to model the demand uncertainty and provide a sensitive insight into the system. The developed model was tested on an 18-bus distribution feeder from an industrial area in Riyadh, Saudi Arabia. The results identified BESS and PV systems as viable reinforcement options.",

keywords = "Distribution network expansion, energy storage, feeder upgrade, hybrid systems optimization",

author = "Almehizia, {Abdullah A.} and Al-Ismail, {Fahad S.}",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2023",

doi = "10.1109/ACCESS.2023.3309558",

language = "English",

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pages = "92752--92765",

journal = "IEEE Access",

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T1 - Primary Distribution Feeder Reinforcement Model With Network Constraints

AU - Almehizia, Abdullah A.

AU - Al-Ismail, Fahad S.

PY - 2023

Y1 - 2023

N2 - The paper evaluates the primary distribution feeder reinforcement options due to increased electrical demand. A sizing and allocation optimization model based on stochastic Mixed Integer Nonlinear Programming (MINLP) is proposed to realize and asses various electrical distribution feeder upgrade options. The options include transformer reinforcement, adding new cables, installing Photovoltaic (PV) systems, and Battery Energy Storage systems (BESSs). Scenario generation and clustering address the demand and PV power uncertainties. A normal distribution is used to model the demand uncertainty and provide a sensitive insight into the system. The developed model was tested on an 18-bus distribution feeder from an industrial area in Riyadh, Saudi Arabia. The results identified BESS and PV systems as viable reinforcement options.

AB - The paper evaluates the primary distribution feeder reinforcement options due to increased electrical demand. A sizing and allocation optimization model based on stochastic Mixed Integer Nonlinear Programming (MINLP) is proposed to realize and asses various electrical distribution feeder upgrade options. The options include transformer reinforcement, adding new cables, installing Photovoltaic (PV) systems, and Battery Energy Storage systems (BESSs). Scenario generation and clustering address the demand and PV power uncertainties. A normal distribution is used to model the demand uncertainty and provide a sensitive insight into the system. The developed model was tested on an 18-bus distribution feeder from an industrial area in Riyadh, Saudi Arabia. The results identified BESS and PV systems as viable reinforcement options.

KW - Distribution network expansion

KW - energy storage

KW - feeder upgrade

KW - hybrid systems optimization

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DO - 10.1109/ACCESS.2023.3309558

M3 - Article

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VL - 11

SP - 92752

EP - 92765

JO - IEEE Access

JF - IEEE Access

ER -

Primary Distribution Feeder Reinforcement Model With Network Constraints

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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