Multi-Objective Ant Lion Optimizer for Congestion Management and Real-Power Rescheduling in Power Systems
Year: 2025
Type: article
Abstract: This paper presents the congestion management problem in electrical networks during power line outages and overloads on other lines. The study focuses on congestion management in the IEEE 30 bus system and modifies the IEEE 30 bus system by applying a model for congestion management pricing, incorporating data from both transmission lines and generators. The research proposes a Multi-Objective Ant Lion Optimizer (MOALO) method to solve single and multi-objective optimization problems to find a solution for management pricing, comparing results with other research methods to show the effectiveness of the applied approach and the mathematical model representing congestion management.
Authors: Ismail Ziane, Farid Benhamida, Amel Graa
Institution: Université Djilali de Sidi Bel Abbès
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407971750