Assessing Reliability and Energy Security Through PLANS and EA-PSM Software Simulations

Piotr Hadaj () and Dominik Strzałka ()
Additional contact information
Piotr Hadaj: Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, Al. Powstanców Warszawy 12, 35-959 Rzeszów, Poland
Dominik Strzałka: Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, Al. Powstanców Warszawy 12, 35-959 Rzeszów, Poland

Energies, 2025, vol. 18, issue 9, 1-16

Abstract: This study presents a comparative analysis of PLANS (v. /2019/12/10) and EA-PSM (v. 19.11.15.0) software for power system simulations, focusing on their applications in enhancing energy security and grid reliability. Utilizing the Newton–Raphson algorithm for power flow calculations, both tools offer robust solutions for network balance, addressing various issues, such as voltage distortions and reactive power injection. The research highlights the critical role of these simulations in integrating renewable energy sources and ensuring efficient, sustainable, and resilient power systems. Additionally, the study underscores the multidimensional aspect of energy security as a cornerstone of national stability and economic prosperity.

Keywords: power system simulation; EA-PSM; PLANS; national security; energy security (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/9/2227/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/9/2227/ (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:jeners:v:18:y:2025:i:9:p:2227-:d:1644010

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

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