Nowadays, with the massive integration of distributed renewable generation, electric
vehicles... to the distribution level of the electricity grid, the traditional strategy for monitoring …

As the worldwide use of wind turbine generators in utility‐scale applications continues to
increase, it will become increasingly important to assess the economic and reliability impact …

This paper describes a load allocation model to be used in a distribution management
system (DMS) environment. A process of rough allocation is initiated, based on information …

The aim of this paper is to present a methodology based on interval mathematics to deal
with load uncertainty in power electric systems. The approach is suitable to model two types …

This paper reports the main results from the application of Fuzzy Inference Systems–FIS-to
tackle the problem of selecting the most adequate set of weights to use in State Estimation …

In the paper we describe a State Estimation model to be used in Energy/Distribution
Management Systems–EDMS. This model is an important evolution of the concept first …

This paper describes a real-world DMS environment in which intelligent tools and
techniques such as neural networks, fuzzy sets and meta-heuristics (like evolutionary …

In this paper we address some practical issues arising when passing from both theoretical
state estimation algorithms and EMS approaches to DMS applications. These issues …

The type of network intervenients changed since the establishment of the transmission and
distribution lines until nowadays. With the integration of renewable sources and the actual …

Nesta comunicação é apresentada uma formulação completa do problema de estimação de
Estado a utilizar em centros de controlo de sistemas de Produção/Transmissão e na área da …