Modern Power System Operations in Effective Transmission Congestion Management via Optimal DG Capacity Using Firefly Algorithms

Managing transmission congestion is becoming more difficult as the power market grows. The open-access electricity market is regularly congested for an independent system operator. The paper provides an example of how to approach this problem in a reliable and efficient way. In order to reduce transmission network congestion in a pool-based energy market, the current work proposes active power rescheduling of generators that uses the Firefly algorithm (FFA). FFA is a brand-new meta-heuristic approach that draws inspiration from firefly behavior and flashing patterns. In order to effectively meet the load need from generation to generation, this entails rescheduling the generators. As a result, congestion is reduced. As a result, the methodology improves the performance of the network being evaluated.