2021
DOI: 10.1109/tpwrs.2021.3074540
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Multi-Area Aggregation of Multi-Grounded Unbalanced Distribution Systems

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Cited by 3 publications
(1 citation statement)
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“…For instance, in [27], the authors proposed a new deep reinforcement learning-based method to reach resilient distribution networks in conditions of threephased unbalanced power flow using OpenDSS. Multi-area aggregation method was proposed in [28] for reducing the number of three-phase four-wire multi-grounded feeders using OpenDSS. The study [29], solved the optimal sizing of battery energy storage system problem considering technical and financial sides by a multi-objective approach.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, in [27], the authors proposed a new deep reinforcement learning-based method to reach resilient distribution networks in conditions of threephased unbalanced power flow using OpenDSS. Multi-area aggregation method was proposed in [28] for reducing the number of three-phase four-wire multi-grounded feeders using OpenDSS. The study [29], solved the optimal sizing of battery energy storage system problem considering technical and financial sides by a multi-objective approach.…”
Section: Introductionmentioning
confidence: 99%