Synergistic Day-Ahead Scheduling Framework for Smart Distribution Grid Under Uncertainty

Under the smart grid environment, implementation of load management programs, integration of active elements, and associated uncertainties have increased the complexity in operation and management of the existing distribution networks many folds as before. Therefore, for optimal operation of such a...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics 2024-07, Vol.20 (7), p.9681-9691
Main Authors: Vemalaiah, Kasi, Khatod, Dheeraj Kumar, Padhy, Narayana Prasad
Format: Article
Language:English
Subjects:
Benders decomposition
Costs
Energy management
Maintenance
Mixed integer
network reconfiguration
Power flow
Programming
Reactive power
Reconfiguration
Scheduling
smart distribution grid (SDG)
Smart grid
Smart grids
stochastic convex programming
Stochastic processes
synergistic day-ahead scheduling (SDAS)
Uncertainty
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Summary:Under the smart grid environment, implementation of load management programs, integration of active elements, and associated uncertainties have increased the complexity in operation and management of the existing distribution networks many folds as before. Therefore, for optimal operation of such a complicated distribution network, this article proposes a synergistic day-ahead scheduling scheme emphasizing the combined impact of network reconfiguration, active elements, and demand response. Minimizing the overall cost associated with the operation and management of distribution system, the formulation is proposed as a mixed-integer second-order cone programming problem. This formulation captures the exact characteristics of power flow in network and ensures its fast convergence to global optima. Further, the Benders decomposition method is employed to deal with computational complexities in achieving a solution. Test results on a modified IEEE 33-bus network show notable enhancement in the techno-economic performance of the network.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2024.3385366