SOCP Based Novel OPF Analysis Model for AC-DC Hybrid Power Distribution Networks

Md Mahmud Ul Tarik Chowdhury; Md Shamim Hasan; Krishna Murari; Sukumar Kamalasadan

doi:10.1109/PESGRE58662.2023.10404317

SOCP Based Novel OPF Analysis Model for AC-DC Hybrid Power Distribution Networks

Md Mahmud Ul Tarik Chowdhury
, Md Shamim Hasan
, Krishna Murari
, Sukumar Kamalasadan

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

2 Scopus citations

Abstract

This article presents a novel Second Order Cone Programming (SOCP) based optimal power flow (OPF) model for AC-DC hybrid power distribution networks. The proposed OPF model relaxes the angle of the voltage and current and considers the network's converters (i.e., AC-DC rectifiers, DC-AC inverters) along with the power flow relations within a conic solution space. The OPF model provides optimal operational points and recovers the optimal modulation index for the reference settings of the converters. Being convex, the proposed model produces a globally optimal solution and is tight for convex objective function (i.e., minimum network loss, minimum generation cost of DERs) for radial distribution networks. The proposed SOCP-OPF model is simulated and analyzed on different test cases considering the high penetration of distributed energy resources (DERs). Based on the simulation results, it is observed that the proposed model is computationally efficient and scalable to large networks for globally optimal and exact solutions for AC-DC hybrid power distribution networks with high DER penetration.

Original language	English
Title of host publication	2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy
Subtitle of host publication	Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350310573
DOIs	https://doi.org/10.1109/PESGRE58662.2023.10404317
State	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2023 - Trivandrum, India Duration: Dec 17 2023 → Dec 20 2023

Publication series

Name	2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023

Conference

Conference	2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2023
Country/Territory	India
City	Trivandrum
Period	12/17/23 → 12/20/23

Funding

This article is based on the research work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under the Solar Energy Technology Office Award Number DE-EE-0008774. (Corresponding author: Sukumar Kamalasadan.) Md Mahmud-Ul-Tarik Chowdhury, Md Shamim Hasan, and Sukumar Kamalasadan are with the Department of Electrical and Computer Engineering at the University of North Carolina, Charlotte, NC 28223, United States (e-mail: [email protected]; [email protected]; [email protected]).

Keywords

AC-DC distribution network
OPF analysis
SOCP
convex relaxation
distributed resources (DERs)

Access to Document

10.1109/PESGRE58662.2023.10404317

Cite this

Chowdhury, M. M. U. T., Shamim Hasan, M., Murari, K., & Kamalasadan, S. (2023). SOCP Based Novel OPF Analysis Model for AC-DC Hybrid Power Distribution Networks. In 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023 (2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PESGRE58662.2023.10404317

Chowdhury, Md Mahmud Ul Tarik ; Shamim Hasan, Md ; Murari, Krishna et al. / SOCP Based Novel OPF Analysis Model for AC-DC Hybrid Power Distribution Networks. 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023).

@inproceedings{1cb70201e3ce45a1875dbb1ce008787d,

title = "SOCP Based Novel OPF Analysis Model for AC-DC Hybrid Power Distribution Networks",

abstract = "This article presents a novel Second Order Cone Programming (SOCP) based optimal power flow (OPF) model for AC-DC hybrid power distribution networks. The proposed OPF model relaxes the angle of the voltage and current and considers the network's converters (i.e., AC-DC rectifiers, DC-AC inverters) along with the power flow relations within a conic solution space. The OPF model provides optimal operational points and recovers the optimal modulation index for the reference settings of the converters. Being convex, the proposed model produces a globally optimal solution and is tight for convex objective function (i.e., minimum network loss, minimum generation cost of DERs) for radial distribution networks. The proposed SOCP-OPF model is simulated and analyzed on different test cases considering the high penetration of distributed energy resources (DERs). Based on the simulation results, it is observed that the proposed model is computationally efficient and scalable to large networks for globally optimal and exact solutions for AC-DC hybrid power distribution networks with high DER penetration.",

keywords = "AC-DC distribution network, OPF analysis, SOCP, convex relaxation, distributed resources (DERs)",

author = "Chowdhury, \{Md Mahmud Ul Tarik\} and \{Shamim Hasan\}, Md and Krishna Murari and Sukumar Kamalasadan",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2023 ; Conference date: 17-12-2023 Through 20-12-2023",

year = "2023",

doi = "10.1109/PESGRE58662.2023.10404317",

language = "English",

series = "2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023",

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

booktitle = "2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy",

}

Chowdhury, MMUT, Shamim Hasan, M, Murari, K & Kamalasadan, S 2023, SOCP Based Novel OPF Analysis Model for AC-DC Hybrid Power Distribution Networks. in 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023. 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2023, Trivandrum, India, 12/17/23. https://doi.org/10.1109/PESGRE58662.2023.10404317

SOCP Based Novel OPF Analysis Model for AC-DC Hybrid Power Distribution Networks. / Chowdhury, Md Mahmud Ul Tarik; Shamim Hasan, Md; Murari, Krishna et al.
2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023).

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

TY - GEN

T1 - SOCP Based Novel OPF Analysis Model for AC-DC Hybrid Power Distribution Networks

AU - Chowdhury, Md Mahmud Ul Tarik

AU - Shamim Hasan, Md

AU - Murari, Krishna

AU - Kamalasadan, Sukumar

PY - 2023

Y1 - 2023

N2 - This article presents a novel Second Order Cone Programming (SOCP) based optimal power flow (OPF) model for AC-DC hybrid power distribution networks. The proposed OPF model relaxes the angle of the voltage and current and considers the network's converters (i.e., AC-DC rectifiers, DC-AC inverters) along with the power flow relations within a conic solution space. The OPF model provides optimal operational points and recovers the optimal modulation index for the reference settings of the converters. Being convex, the proposed model produces a globally optimal solution and is tight for convex objective function (i.e., minimum network loss, minimum generation cost of DERs) for radial distribution networks. The proposed SOCP-OPF model is simulated and analyzed on different test cases considering the high penetration of distributed energy resources (DERs). Based on the simulation results, it is observed that the proposed model is computationally efficient and scalable to large networks for globally optimal and exact solutions for AC-DC hybrid power distribution networks with high DER penetration.

AB - This article presents a novel Second Order Cone Programming (SOCP) based optimal power flow (OPF) model for AC-DC hybrid power distribution networks. The proposed OPF model relaxes the angle of the voltage and current and considers the network's converters (i.e., AC-DC rectifiers, DC-AC inverters) along with the power flow relations within a conic solution space. The OPF model provides optimal operational points and recovers the optimal modulation index for the reference settings of the converters. Being convex, the proposed model produces a globally optimal solution and is tight for convex objective function (i.e., minimum network loss, minimum generation cost of DERs) for radial distribution networks. The proposed SOCP-OPF model is simulated and analyzed on different test cases considering the high penetration of distributed energy resources (DERs). Based on the simulation results, it is observed that the proposed model is computationally efficient and scalable to large networks for globally optimal and exact solutions for AC-DC hybrid power distribution networks with high DER penetration.

KW - AC-DC distribution network

KW - OPF analysis

KW - SOCP

KW - convex relaxation

KW - distributed resources (DERs)

UR - https://www.scopus.com/pages/publications/85185788045

U2 - 10.1109/PESGRE58662.2023.10404317

DO - 10.1109/PESGRE58662.2023.10404317

M3 - Conference contribution

AN - SCOPUS:85185788045

T3 - 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023

BT - 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2023

Y2 - 17 December 2023 through 20 December 2023

ER -

Chowdhury MMUT, Shamim Hasan M, Murari K, Kamalasadan S. SOCP Based Novel OPF Analysis Model for AC-DC Hybrid Power Distribution Networks. In 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy: Power Electronics, Smart Grid, and Renewable Energy for Sustainable Development, PESGRE 2023). doi: 10.1109/PESGRE58662.2023.10404317

SOCP Based Novel OPF Analysis Model for AC-DC Hybrid Power Distribution Networks

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this