A Review of High-Performance Computing Methods for Power Flow Analysis

Shadi G. Alawneh (), Lei Zeng and Seyed Ali Arefifar
Additional contact information
Shadi G. Alawneh: Electrical & Computer Engineering, Oakland University, 115 Library Drive, Rochester, MI 48309, USA
Lei Zeng: Electrical & Computer Engineering, Oakland University, 115 Library Drive, Rochester, MI 48309, USA
Seyed Ali Arefifar: Electrical & Computer Engineering, Oakland University, 115 Library Drive, Rochester, MI 48309, USA

Mathematics, 2023, vol. 11, issue 11, 1-20

Abstract: Power flow analysis is critical for power systems due to the development of multiple energy supplies. For safety, stability, and real-time response in grid operation, grid planning, and analysis of power systems, it requires designing high-performance computing methods, accelerating power flow calculation, obtaining the voltage magnitude and phase angle of buses inside the power system, and coping with the increasingly complex large-scale power system. This paper provides an overview of the available parallel methods to fix the issues. Specifically, these methods can be classified into three categories from a hardware perspective: multi-cores, hybrid CPU-GPU architecture, and FPGA. In addition, from the perspective of numerical computation, the power flow algorithm is generally classified into iterative and direct methods. This review paper introduces models of power flow and hardware computing architectures and then compares their performance in parallel power flow calculations depending on parallel numerical methods on different computing platforms. Furthermore, this paper analyzes the challenges and pros and cons of these methods and provides guidance on how to exploit the parallelism of future power flow applications.

Keywords: multi-cores; multi-GPUs; FPGA; iterative and direct methods; power flow calculation; parallelism (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/11/11/2461/pdf (application/pdf)
https://www.mdpi.com/2227-7390/11/11/2461/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:11:y:2023:i:11:p:2461-:d:1156762

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().