LAPSE:2023.6938
Published Article

LAPSE:2023.6938
Adaptive Backward/Forward Sweep for Solving Power Flow of Islanded Microgrids
February 24, 2023
Abstract
This paper presents an algorithm for solving the power flow (PF) problem of droop-regulated AC microgrids (DRACMs) operating in isolated mode. These systems are based on radial distribution networks without having a slack bus to facilitate conventional computations. Moreover, distributed generation units have to distribute the power and voltage regulation among themselves as a function of operating frequency and voltage droop rather than having a slack bus that regulates voltage and power demands. Based on the conventional backward/forward sweep algorithm (BFS), the proposed method is a derivative-free PF algorithm. To manage the absence of a slack bus in the system, the BFS algorithm introduces new loops, equations, and self-adaptation procedures to its computation procedures. A comparison is presented between the proposed BFS algorithm and other state-of-the-art PF algorithms, as well as PSCAD/EMTDC. In comparison to existing algorithms, the proposed approach is fast, simple, accurate, and easy to implement, and it can be considered an effective tool for planning and analyzing islanded DRACMs.
This paper presents an algorithm for solving the power flow (PF) problem of droop-regulated AC microgrids (DRACMs) operating in isolated mode. These systems are based on radial distribution networks without having a slack bus to facilitate conventional computations. Moreover, distributed generation units have to distribute the power and voltage regulation among themselves as a function of operating frequency and voltage droop rather than having a slack bus that regulates voltage and power demands. Based on the conventional backward/forward sweep algorithm (BFS), the proposed method is a derivative-free PF algorithm. To manage the absence of a slack bus in the system, the BFS algorithm introduces new loops, equations, and self-adaptation procedures to its computation procedures. A comparison is presented between the proposed BFS algorithm and other state-of-the-art PF algorithms, as well as PSCAD/EMTDC. In comparison to existing algorithms, the proposed approach is fast, simple, accurate, and easy to implement, and it can be considered an effective tool for planning and analyzing islanded DRACMs.
Record ID
Keywords
backward/forward sweep algorithm, distributed generation, islanded AC microgrid, power flow, self-adaptation
Subject
Suggested Citation
Kumar A, Kumar A, Mallipeddi R, Lee DG. Adaptive Backward/Forward Sweep for Solving Power Flow of Islanded Microgrids. (2023). LAPSE:2023.6938
Author Affiliations
Kumar A: Department of Artificial Intelligence, Kyungpook National University, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
Kumar A: Department of Artificial Intelligence, Kyungpook National University, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea [ORCID]
Mallipeddi R: Department of Artificial Intelligence, Kyungpook National University, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
Lee DG: Department of Artificial Intelligence, Kyungpook National University, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
Kumar A: Department of Artificial Intelligence, Kyungpook National University, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea [ORCID]
Mallipeddi R: Department of Artificial Intelligence, Kyungpook National University, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
Lee DG: Department of Artificial Intelligence, Kyungpook National University, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
Journal Name
Energies
Volume
15
Issue
24
First Page
9348
Year
2022
Publication Date
2022-12-09
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15249348, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.6938
This Record
External Link

https://doi.org/10.3390/en15249348
Publisher Version
Download
Meta
Record Statistics
Record Views
314
Version History
[v1] (Original Submission)
Feb 24, 2023
Verified by curator on
Feb 24, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.6938
Record Owner
Auto Uploader for LAPSE
Links to Related Works
[1.06 s]
