Effectiveness of Wind Energy Penetration in Power System for Mitigating Transmission Congestion

Modern power systems face congestion challenges due to technology developments and de-regulation. However, non-conventional sources as wind offer a sustainable, affordable, and eco-friendly alternative. By reducing reliance on traditional generators, wind power can ease congestion in transmission networks. Generator rescheduling is an efficient method to tackle congestion but results in cost enhancement. This study examines how wind energy integration affects congestion costs. A new method employing bus sensitivity factors optimizes a 20 MW fixed speed wind turbine placement. Additionally, a pioneering Grey Wolf Optimization Algorithm is applied to minimize congestion costs incurred in generator rescheduling. Method proposed is Tested on an adapted IEEE 30 Bus system, this algorithm outperforms others, emphasizing its efficacy. The research highlights wind turbines, combined with generator rescheduling, as a viable strategy for mitigating transmission congestion economically. As renewable energy continues to evolve, leveraging wind power effectively could lead to a more efficient and sustainable power grid.