Allocation of Dynamic Operating Envelopes in Radial Distribution Networks
Provides crucial insights and tools for distribution system operators to compute DOEs efficiently and accurately.
This paper analyzes how power flow model, binding network constraints, and calculation case affect dynamic operating envelopes (DOEs), and proposes the LACE algorithm for scalable and transparent DOE computation. Numerical simulations on test feeders, including a realistic low-voltage feeder with real-world data from Belgium, demonstrate its effectiveness.
This paper provides an in-depth analysis on how different aspects of the dynamic operating envelope (DOE) formulation impact the computation and allocation of network capacity. We show that the envelopes are significantly affected by the power flow model (non-linear or linear), binding network constraint (thermal or voltage) and by the calculation case (import or export envelope). We also propose a novel DOE algorithm (LACE) that presents transparent and scalable computation that is useful for larger networks or to act in tandem with other optimization engines. We run numerical simulations with different test feeders, including a realistic low-voltage feeder with real-world data from Belgium. This paper provides crucial insights and tools to distribution system operators (DSOs), stakeholders and academics alike to make sure DOE calculation achieves desirable and efficient outcome.