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• W4367598274 abstract "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." @default.
• W4367598274 created "2023-05-02" @default.
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• W4367598274 date "2023-03-23" @default.
• W4367598274 modified "2023-10-01" @default.
• W4367598274 title "Modern Power System Operations in Effective Transmission Congestion Management via Optimal DG Capacity Using Firefly Algorithms" @default.
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• W4367598274 doi "https://doi.org/10.1109/icees57979.2023.10110274" @default.
• W4367598274 hasPublicationYear "2023" @default.
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