Optimization of DER Integrated Distribution System by Sequential Quadratic Programming (SQP)

Md Shamim Hasan; Sukumar Kamalasadan

doi:10.1109/GlobConPT57482.2022.9938177

Optimization of DER Integrated Distribution System by Sequential Quadratic Programming (SQP)

Md Shamim Hasan
, Sukumar Kamalasadan

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

12 Scopus citations

Abstract

One of the most critical challenges of the modern power distribution system is to optimize the network, reduce loss, and ultimately reduce the cost of operation. After years of research, it remains a difficult challenge for researchers. Fur-thermore, the increasing amount of distributed energy resources (DERs) in the distribution network has recently aggravated the situation. In this article, a Sequential Quadratic Programming (SQP) based nonlinear programming (NLP) model is proposed for optimal power flow (OPF) solution in a radial distribution network with penetration of DERs. The model has been tested with the IEEE 33 bus modified distribution network and the IEEE 123 bus distribution system. The results of these simulations have been verified with the interior point method (IPM) NLP algorithm (NLP-IPM), and the results have shown faster convergence than the NLP-IPM algorithm.

Original language	English
Title of host publication	2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665493659
DOIs	https://doi.org/10.1109/GlobConPT57482.2022.9938177
State	Published - 2022
Externally published	Yes
Event	2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022 - New Delhi, India Duration: Sep 23 2022 → Sep 25 2022

Publication series

Name	2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022

Conference

Conference	2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022
Country/Territory	India
City	New Delhi
Period	09/23/22 → 09/25/22

Funding

This work was supported in part by the Electrical and Computer Engineering Department at UNC Charlotte and Siemens Energy. The authors are with the Power, Energy, and Intelligent Systems Laboratory, University of North Carolina at Charlotte, Charlotte, NC 28223 USA. Corresponding Author: S. Kamalasadan (email: [email protected]).

Keywords

Bus Injection Model
Interior Point Method
Lagrangian Function
Optimal power flow (OPF)
Quadratic Sub-problem
Sequential Quadratic Programming

Access to Document

10.1109/GlobConPT57482.2022.9938177

Cite this

Hasan, M. S., & Kamalasadan, S. (2022). Optimization of DER Integrated Distribution System by Sequential Quadratic Programming (SQP). In 2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022 (2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobConPT57482.2022.9938177

Hasan, Md Shamim ; Kamalasadan, Sukumar. / Optimization of DER Integrated Distribution System by Sequential Quadratic Programming (SQP). 2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022).

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title = "Optimization of DER Integrated Distribution System by Sequential Quadratic Programming (SQP)",

abstract = "One of the most critical challenges of the modern power distribution system is to optimize the network, reduce loss, and ultimately reduce the cost of operation. After years of research, it remains a difficult challenge for researchers. Fur-thermore, the increasing amount of distributed energy resources (DERs) in the distribution network has recently aggravated the situation. In this article, a Sequential Quadratic Programming (SQP) based nonlinear programming (NLP) model is proposed for optimal power flow (OPF) solution in a radial distribution network with penetration of DERs. The model has been tested with the IEEE 33 bus modified distribution network and the IEEE 123 bus distribution system. The results of these simulations have been verified with the interior point method (IPM) NLP algorithm (NLP-IPM), and the results have shown faster convergence than the NLP-IPM algorithm.",

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author = "Hasan, \{Md Shamim\} and Sukumar Kamalasadan",

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year = "2022",

doi = "10.1109/GlobConPT57482.2022.9938177",

language = "English",

series = "2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022",

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Hasan, MS & Kamalasadan, S 2022, Optimization of DER Integrated Distribution System by Sequential Quadratic Programming (SQP). in 2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022. 2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022, New Delhi, India, 09/23/22. https://doi.org/10.1109/GlobConPT57482.2022.9938177

Optimization of DER Integrated Distribution System by Sequential Quadratic Programming (SQP). / Hasan, Md Shamim; Kamalasadan, Sukumar.
2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022).

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

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PY - 2022

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N2 - One of the most critical challenges of the modern power distribution system is to optimize the network, reduce loss, and ultimately reduce the cost of operation. After years of research, it remains a difficult challenge for researchers. Fur-thermore, the increasing amount of distributed energy resources (DERs) in the distribution network has recently aggravated the situation. In this article, a Sequential Quadratic Programming (SQP) based nonlinear programming (NLP) model is proposed for optimal power flow (OPF) solution in a radial distribution network with penetration of DERs. The model has been tested with the IEEE 33 bus modified distribution network and the IEEE 123 bus distribution system. The results of these simulations have been verified with the interior point method (IPM) NLP algorithm (NLP-IPM), and the results have shown faster convergence than the NLP-IPM algorithm.

AB - One of the most critical challenges of the modern power distribution system is to optimize the network, reduce loss, and ultimately reduce the cost of operation. After years of research, it remains a difficult challenge for researchers. Fur-thermore, the increasing amount of distributed energy resources (DERs) in the distribution network has recently aggravated the situation. In this article, a Sequential Quadratic Programming (SQP) based nonlinear programming (NLP) model is proposed for optimal power flow (OPF) solution in a radial distribution network with penetration of DERs. The model has been tested with the IEEE 33 bus modified distribution network and the IEEE 123 bus distribution system. The results of these simulations have been verified with the interior point method (IPM) NLP algorithm (NLP-IPM), and the results have shown faster convergence than the NLP-IPM algorithm.

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KW - Lagrangian Function

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Hasan MS, Kamalasadan S. Optimization of DER Integrated Distribution System by Sequential Quadratic Programming (SQP). In 2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022). doi: 10.1109/GlobConPT57482.2022.9938177

Optimization of DER Integrated Distribution System by Sequential Quadratic Programming (SQP)

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