A Simplified Formulation for the Backward/Forward Sweep Power Flow Method
This paper describes a simplified formulation of the Backward/Forward (BW/FW) Sweep Power Flow applied to radial distribution systems with distributed generation under positive sequence modelling. Proposed formulation was applied in an illustrative test system.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Ancestor Sampling for Particle Gibbs
We present a novel method in the family of particle MCMC methods that we refer to as particle Gibbs with ancestor sampling (PG-AS). Similarly to the existing PG with backward simulation (PG-BS) procedure, we use backward…
State Space ModelsForward Gradients for Data-Driven CFD Wall Modeling
Computational Fluid Dynamics (CFD) is used in the design and optimization of gas turbines and many other industrial/ scientific applications. However, the practical use is often limited by the high computational cost, an…
Particle Gibbs with Ancestor Sampling
Particle Markov chain Monte Carlo (PMCMC) is a systematic way of combining the two main tools used for Monte Carlo statistical inference: sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC). We present a nov…
State Space ModelsUnified Discrete Diffusion for Categorical Data
Discrete diffusion models have seen a surge of attention with applications on naturally discrete data such as language and graphs. Although discrete-time discrete diffusion has been established for a while, only recently…
DenoisingFlexible Raman Amplifier Optimization Based on Machine Learning-aided Physical Stimulated Raman Scattering Model
The problem of Raman amplifier optimization is studied. A differentiable interpolation function is obtained for the Raman gain coefficient using machine learning (ML), which allows for the gradient descent optimization o…