This paper presents a distributed, massively parallel architecture that enables tractable transmission and distribution locational marginal price (T&DLMP) discovery along with optimal scheduling of centralized generation, decentralized conventional and flexible loads, and distributed energy (DERS).
How are utilities using probabilistic planning to tackle the rising complexity and uncertainty in grid operations due to distributed energy resources and fluctuating demand?
_______________________________________________________________________________________________________________________ We’ve partnered with utilities to tackle this question, and here are the insights we’ve gathered. Model and simulate a variety of possible...