Albana Ilo

Critical induction : a key quantity for the optimisation of transformer core operation

No-load losses P of transformers core have been considerably decreased through introduction of the so-called multi-step-lap designs. However, profound guidelines for the optimum step-number N do not exist. This study shows that the combination of both N and working induction B characterises the flux distribution. Transformer cores can operate in an over or an under-critical way depending on N and B.

Influence of geometric parameters on the magnetic properties of model transformer cores

Abstract In practice, the most important properties of transformer cores are losses and noise. We discuss the respective relevance of overlap length, air gap length, and length of shifts of overlap regions of adjacent core packages for single and multi-step lap. Experiments and variance analysis reveal maximum relevance of gap lengths if the induction exceeds the ‘critical induction’.

A neural network for the prediction of performance parameters of transformer cores

Abstract The paper shows that Artificial Neural Networks (ANNs) may offer new possibilities for the prediction of transformer core performance parameters, i.e. no-load power losses and excitation . Basically this technique enables simulations with respect to different construction parameters most notably the characteristics of corner designs, i.e. the overlap length , the air gap length , and the number of steps . However, without additional physical knowledge incorporated into the ANN extrapolation beyond the training data limits restricts the predictive performance.

DMS impact on the technical and economical performance of the distribution systems

6. ConclusionsThe distribution system, one of the major components of an electric power system, has traditionally been characterized as the most unglamorous component. Nowadays, armed with commercially available software (DMS/SCADA) and hardware, the distribution utilities have the possibility to manage the immense amount of the information (data), to optimize the internal resources, to maintain a reliable and cost effective energy supply and to be prepared for the future operation strategies while increasing the company revenue.

Demand Response Process in Context of the Unified LINK -Based Architecture

This paper presents for the first time a unified LINK-based architecture for power systems, which provides the harmonization of power system physics and market rules. It is based on the holistic technical model of power systems “Energy supply chain net” and on the corresponding holistic power market model. The last one is illustrated by means of the actual Austrian electricity market. Furthermore, we show how the unification of the market and grid in the same flow diagram increases the uptake of demand response also in the residential, commercial and small business sectors. Their price driven demand response is described in detail.