Probabilistic power system analysis tools like probabilistic power flow (PPF) help system
operators in planning and security studies with multiple uncertainties. Sample-based …

In this paper, we propose a parallel dual dynamic programming (PDDP)-based
decentralized algorithm for the multi-area optimal power flow (MAOPF), which can preserve …

It is challenging to approximate multimodal distributions of probabilistic load flow (PLF)
result variables stemming from discrete and non-standard continuous input random …

Probabilistic load flow (PLF) calculation, as a fundamental tool to analyze transmission
system behavior, has been studied for decades. Despite a variety of available methods …

This paper focuses on the global chance-constrained optimal power flow problem of a multi-
regional interconnected grid. In this global problem, however, multiple regional independent …

Accurate forecasting of electric vehicle (EV) load is essential for grid stability and energy
management. EV load forecasting is influenced by multiple factors. At present, the load …

Power flow studies are essential for planning and operating microgrids (MGs). However,
power flow is generally calculated separately for MGs and medium voltage (MV) systems …

A new algorithm called accelerated projection-based consensus (APC) has recently
emerged as a promising approach to solve large-scale systems of linear equations in a …

Tomás de Rezende Belo Pereira Estimativa de Riscos em Redes Elétricas Considerando
Fontes Renováveis e Contingências de Gera Page 1 Tomás de Rezende Belo Pereira …

In the current digital world, the energy industry is increasingly relying on big data analytics
and sharing for efficient energy management. However, at the same time, protecting the …