ArticleScientific reports2025
Congestion management using monarch butterfly optimization in restructured power system.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Congestion management using monarch butterfly optimization in restructured power system.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Congestion is an important issue and its management is one of the main technical challenges in any restructured power system. Congestion occurs, when the line flow exceeds its capacity while accommodating all the constraints of power transfer through the line simultaneously. The Locational Marginal Price (LMP) is a vital element involved in the calculation of generation units’ profit. In this proposal, LMP based bi-level approach for congestion management has been developed and it can be reliably and efficiently used for the relief of congestion in restructured power systems. The difference in LMP across a line is utilized to categorize various congestion zones while the optimal placement of distributed generation in the most congestion sensitive zone is done with the use of Monarch Butterfly Optimization for congestion management. The improved power flow and decline in congestion cost imply the techno-economic efficacy of the proposed approach. Optimal power flow solution is obtained via linear programming. The standard IEEE 30-bus and 118-bus systems with both supply and demand bidding are used in the illustration and testing of proposed methodology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.