Gautam, AnuragNasiruddin, IbraheemSharma, GulshanAhmer, Mohammad F.Celik, EmreBekiroglu, Erdal2024-08-232024-08-2320241532-50081532-5016https://doi.org/10.1080/15325008.2024.2314202https://hdl.handle.net/20.500.12684/14197The current power system grapples with congestion challenges arising from technological advancements and deregulation. Conversely, renewable energy sources like wind offer an inexhaustible, cost-effective, and environmentally friendly solution, potentially alleviating congestion in the modern transmission network by reducing the need for conventional generators to reschedule. This article conducts a thorough analysis of how the penetration of wind power impacts congestion costs in conventional energy systems. To address this, a novel approach utilizing the bus sensitivity factor is introduced for precise wind turbine placement. To efficiently mitigate congestion costs, a pioneering Salp Swarm Optimization Algorithm is proposed and validated on a modified IEEE 30 Bus system, demonstrating superior performance compared to other algorithms. The findings underscore the effectiveness of the proposed algorithm and highlight wind turbines, coupled with generator rescheduling, as a potent and cost-effective solution for alleviating transmission network congestion.en10.1080/15325008.2024.2314202info:eu-repo/semantics/closedAccessderegulated power systembus sensitivity factorgenerator sensitivity factorrenewable energy sourcesalp swarm optimizationReal PowerManagementAlgorithmArticle2-s2.0-85186211919WOS:001165781100001Q3N/A