Mitigating Congestion Problems Using GR and 20 MW Wind Turbine Utilizing JAYA Optimization

The power system is grappling with congestion issues due to technological advancements and deregulation, leading to fierce competition among private generators and a lack of transparency in transactions. To ensure a reliable and efficient power system, alleviating congestion is crucial for the system. Among various mitigation strategies, generator rescheduling is a key method, though it raises generation costs, and this cost can be reduced by selecting generators based on sensitivity factors utilizing an optimization algorithm to determine optimal power rescheduling. In addition, the congestion costs can be significantly reduced by allowing wind power penetration and thus reducing the number of generators involved in rescheduling. This paper explores the impact of wind power integration on congestion costs in the conventional energy system. It introduces a novel approach using bus sensitivity factors for precise wind turbine placement and combines it with the JAYA Optimization algorithm. The results, validated on the IEEE modified 30 Bus system, demonstrate the superiority of the proposed over other algorithms in the literature, leading to substantial congestion cost reductions.