Hybrid Deep Neural Network-Based Generation Rescheduling for Congestion Mitigation in Spot Power Market

Hybrid Deep Neural Network-Based Generation Rescheduling for Congestion Mitigation in Spot Power Market

In the open-access power market environment, the continuously varying loading and accommodation of various bilateral and multilateral transactions, sometimes leads to congestion, which is not desirable. In a day ahead or spot power market, generation rescheduling (GR) is one of the most prominent te...

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Bibliographic Details
Main Authors: Anjali Agrawal, Seema N. Pandey, Laxmi Srivastava, Pratima Walde, Saumya Singh, Baseem Khan, R. K. Saket
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Bilateral/multilateral transactions
congestion management
deep neural network
generation rescheduling
modified back propagation algorithm-based ANN
Online Access:https://ieeexplore.ieee.org/document/9730881/
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