Feature Description
A partitioning strategy that is based on the locational marginal prices of power/energy optimization models.
Problem / Use Case
Current partitioning methods are only based on input data of the graph. When available, the output data, for example, locational marginal prices, can be used for partitionings that are aware of grid bottlenecks.
Proposed Solution
Implementing a partitioning strategy that uses locational marginal prices in combination with an Adjacent Node Agglomerative Clustering.
Alternatives Considered
No response
Additional Context
No response
Feature Description
A partitioning strategy that is based on the locational marginal prices of power/energy optimization models.
Problem / Use Case
Current partitioning methods are only based on input data of the graph. When available, the output data, for example, locational marginal prices, can be used for partitionings that are aware of grid bottlenecks.
Proposed Solution
Implementing a partitioning strategy that uses locational marginal prices in combination with an Adjacent Node Agglomerative Clustering.
Alternatives Considered
No response
Additional Context
No response