Browse

The load forecasting problem is very important for every distribution system operator. The network evolution, associated behavior, related policies, etc. are correlated with this subject. Thepaper is focusing on monthly load curves forecasting. Artificial intelligence based methods such as artificial neural networks and also conventional methods are appliedin order to perform the forecast. A comparison is accomplished in order to provide thebest approach. To achieve this goal several indices have been computed and...

In the context of deregulated energy market, energy companies need a flexible and efficient framework for energy trading. Along with concerns regarding environment issues, deregulation determined an increased share of sm all and medium renewable energy power plants. With these came along challenges in operation regarding their variability and the lack of central monitoring. Aggregation of distributed energy sources led to the concept of virtual power plant, which brings ad advantages as a better control of product...

The paper aims to present the impact of renewable sources operation on the power distribution network. Different aspects are tackled for the case in point. One of the discussed problems regards their inf luence on the voltage in network buses and power flow on distribution s ystem branches. Thus, po wer flow studies have been performed. The case study refers to a real and complex distribution system. It is managed by an important distribution system operator (DSO). It has been modelled using computer aided power s...