Data-driven Distributionally Adjustable Robust Chance-constrained DG Capacity Assessment

Data-driven Distributionally Adjustable Robust Chance-constrained DG Capacity Assessment

Moving away from fossil fuels towards renewable sources requires system operators to determine the capacity of distribution systems to safely accommodate green and distributed generation (DG). However, the DG capacity of a distribution system is often underestimated due to either overly conservative...

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Bibliographic Details
Main Authors: Masoume Mahmoodi, Seyyed Mahdi Noori Rahim Abadi, Ahmad Attarha, Paul Scott, Lachlan Blackhall
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Distributed generation (DG) capacity assessment
distributionally robust optimisation
chance-constrained optimisation
distribution system
Online Access:https://ieeexplore.ieee.org/document/10215091/

Internet

https://ieeexplore.ieee.org/document/10215091/

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