Athanasios S. Dagoumas

City-scale integrated assessment of climate impacts, adaptation and mitigation

Newcastle University: Jim Hall, Stuart Barr, Richard Dawson, Alistair Ford, Claire Walsh University of Manchester : Sebastian Carney Cambridge University: Terry Barker, Athanasios Dagoumas University of Easy Anglia: Colin Harpham University College London: Mike Batty, Steve Evans University of Leeds: Miles Tight, Helen Harwatt Loughborough University: Abigail Bristow, Alberto Zanni City-scale integrated assessment of climate impacts, adaptation and mitigation

A case study of the impacts of small hydro power plants on the power distribution network with the combination of on load tap changers

The deregulation of the electricity markets and the advances in the power generation technologies together with financial and environmental concerns have positioned distributed generation as a very promising power generation alternative. Scope of this paper is to investigate some problems related to voltage quality when DG is implemented in a weak distribution network. The case under study is a 20 kV distribution network containing 17 small synchronous and asynchronous hydro generators. The voltage variation along the distribution network is examined under variable loading conditions, variable generation modes and by implementing voltage regulator, on load tap changer and compensation capacitors. Results show that the DG can act as a voltage supporting mechanism, together with the other regulating devices, while it is essential to investigate the reactive power flow in the network.

Transient analysis of distributed small hydro generators in a network

Economical and environmental issues have shifted the power distribution network on a network containing small dispersed units. Distributed generators must be considered mainly in terms of the problems and constraints they raise, whereas they appear as an opportunity to improve the quality of supply and to defer network investments. The case under study is a 20 kV distribution network containing 17 small synchronous and asynchronous hydro generators. short circuit faults in different nodes, the islanding operation of different parts of the network and the switching on/off of the generators have been investigated taking into account the different types and different operational modes of the generators

Improvements in the clustering validity indexes of the load profiling methodology

In the recent years the utilization of the load profiling tool for tracking the demand patterns is gathering momentum. There is variety of different clustering algorithms for the formation of daily load curve clusters. Their effectiveness is tested by a set of validity indexes or adequacy measures. This paper examines the behavior of all the adequacy measures that have been proposed in the related literature. We propose an alternative form of the measures that involves a weighting factor that refers to the variance of each element of the vector that represents the demand pattern. This fact increases the accuracy of the dissimilarity measures within and among the clusters. The data sample refers to the daily load curves of an existing high voltage industry within the Greek region and the period of study is the years 2003-2011. This vast amount of data is sufficient for assessing the load profiling methodology.

Combining wavelet transform and support vector regression model for day-ahead peak load forecasting in the Greek power system

Day-ahead peak load forecasting is an essential tool for generation units scheduling, unit commitment and generally, in power systems operation in short-term horizon. The scope of the present study is to develop a robust peak load forecasting model for the power system of Greece. The peak load series is decomposed via the Discrete Wavelet Transform (DWT) into low-frequency and high-frequency subseries in the wavelet domain. For each subseries the Support Vector Regression (SVR) model is trained and applied. The final peak load series is obtained by the inverse DWT. The proposed approach corresponds to low execution time and robust performance and thus, can be a valuable tool for utilities, systems operators and others.