a r t i c l e i n f o In this paper we consider whether economic growth in China could be constrained by the physical development of the energy distribution network. Specifically, we structurally test the network theory of electricity distribution of Dalgaard and Strulik (2011) using city level data for China. In their paper they argue that the relationship between the size of the economy, meas...

European Energy market liberalization has entailed the restructuring of electricity power markets through the unbundling of electricity generation, transmission and distribution, supply activities and introducing competition into electricity generation. Under these new electricity market regimes, it is important to have an evaluation tool that is capable of examining the impacts of these market...

The Smart Grid concept is conceived as a means to optimize the operation and to improve the reliability of the electric delivery system. As environmental concerns and energy consumption continue to increase, utilities are looking at cost effective strategies for improved network operation and consumer consumption. Smart Grid is a collection of next generation power delivery concepts that includ...

Conventional passive distribution networks are changing to modern active distribution networks which are not radial. Conventional load flow methods should be modified for new distribution networks analysis. In modern distribution networks distributed generation (DG) units are embedded with conventional and/or renewable resources. DG units are generally modeled as PV or PQ nodes which inject ...

One of EU’s actions against climate change is to meet 20% of our energy needs from renewable resources. Given that the renewable resources are becoming more economical to extract electricity from, this will result in that more and more distributed generation (DG) will be connected to power distribution. The increasing share of DG in the electricity networks implies both increased costs and bene...

Abstract Forecasting electrical energy demand and consumption is one of the important decision-making tools in distributing companies for making contracts scheduling and purchasing electrical energy. This paper studies load consumption modeling in Hamedan city province distribution network by applying ESN neural network. Weather forecasting data such as minimum day temperature, average day temp...

In the course of net zero carbon transition, electricity distribution networks are faced with great challenges brought by increasing total and peak demand due to electrification transport heat, as well significant uncertainties from renewable power generation customer behaviors (such electric vehicle travelling behaviors). Therefore, network operators (DNOs) need effective tools assess capabili...

With a large penetration of low carbon technologies (LCTs) at medium voltage and low voltage levels, electricity distribution 9 networks are undergoing rapid changes. Much research has been carried out to analyse the impact of employing LCTs in 10 distribution networks based on either real or synthetic network samples. Results of such studies are usually case specific and of 11 limited applicab...

With the large-scale production of plug-in electric vehicles (PEVs), a new entity, the PEV fleet aggregator manages charging and discharging processes of the vehicles. The main objective of an individual aggregator in interaction with electricity markets is maximizing its profit. In this paper, the performance of this aggregator in day-ahead and real-time electricity markets, considering (a) cu...