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- W4315694897 abstract "The impact of increasing distributed energy resource (DER) penetration in distribution grids can no longer be ignored. However, individual control of these increasingly ubiquitous devices remains a challenge due to their numbers. One solution is to control them in groups via virtual power plants. Previous work has typically focused on optimally dispatching fixed sets of DERs, eschewing methods for optimally determining set membership. Intuitively, these fixed sets may not be optimal from a control perspective. We propose a method to cluster the DERs based on a proxy for their covariances, minimising the maximum profile variance of the DER clusters. This method does not require the enumeration and evaluation of DER combinations. Simulation results show that while there is typically a loss in optimality, it is generally small. More importantly, computational tractability is greatly improved versus other methods, which require some form of enumeration and evaluation of the DER combinations." @default.
- W4315694897 created "2023-01-12" @default.
- W4315694897 creator A5011980656 @default.
- W4315694897 creator A5029570783 @default.
- W4315694897 date "2022-11-01" @default.
- W4315694897 modified "2023-09-23" @default.
- W4315694897 title "Efficient Clustering of Distributed Energy Resources Minimising Cluster Variances" @default.
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- W4315694897 doi "https://doi.org/10.1109/isgtasia54193.2022.10003616" @default.
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