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The purpose of this paper is to identify, analyze and develop a structural model for the identified factors that can influence the electricity distribution using Interpretive Structural Modeling (ISM) approach. From this study, the results specify that the key factors are demand fluctuations, personal protection, uninterrupted distribution, location, construction activities, consumption charges perspective, electrical subsidiary industries. The ISM framework has been developed in this paper, which is a first attempt to analyse the interrelationship among the electricity distribution impacting factors. This study will be useful for practitioners and power distribution companies (DISCOM) to understand the factors influencing electricity distribution. [ABSTRACT FROM AUTHOR]

Incentive regulation is moving towards new schemes where standard efficiency mechanisms are combined with output-based incentives (related to quality of supply, sustainability and innovation). Assessing performance of regulated utilities requires models capable to account for these different regulatory objectives. Benchmarking analysis has been in use for a long time; however, whether these models should incorporate even quality as an additional regulated output is still a matter of debate. In this paper we study how benchmarking DEA models can be designed to correctly accommodate all regulated variables, including continuity of supply. To this end, we discuss different models to measure technical efficiency, using a comprehensive and balanced panel for 115 electricity distribution Zones, that belong to the largest Italian utility. Our results show that, for our data set, quality significantly affects efficiency scores. We thus claim that the effect of additional regulated outputs should always be tested in benchmarking models. [ABSTRACT FROM PUBLISHER]

Recently, a large number of renewable energy resources and DC loads spur the research spotlight of the future power grid, which is also referred to as Energy Internet. In order to achieve such a fundamental innovation to the novel energy paradigm, many devices are to be designed, manufactured, and evaluated. In this paper, we describe the solid state transformer-based energy router in which incoming energy traffic can be converted and routed to an outgoing energy traffic. In particular, we focus on the architecture design of such a router and models of energy storage devices, generators, and loads, for Energy Local Area Network (ELAN). The proposed energy router features plug-and-play Multiple-Input Multiple-Output (MIMO), and customized operating system, that providing a system level modeling for the optimal design and performance analysis of energy routers. [ABSTRACT FROM PUBLISHER]

Growing uncontrolled electrical demands have caused increased supply requirements. This causes volatile electrical markets and has detrimental unsustainable environmental impacts. The market is presently characterized by regular daily peak demand conditions associated with high electricity prices. A demand-side response system can limit peak demands to an acceptable level. The proposed scheme is based on energy demand and price information which is available online. An online server is used to communicate the information of electricity suppliers to users, who are able to use the information to manage and control their own demand. A configurable, intelligent switching system is used to control local loads during peak events and mange the loads at other times as necessary. The aim is to shift end user loads towards periods where energy demand and therefore also prices are at the lowest. As a result, this will flatten the load profile and avoiding load peeks which are costly for suppliers. The scheme is an endeavour towards achieving a dynamic smart grid demand-side-response environment using information-based communication and computer-controlled switching. Diffusing the scheme shall lead to improved electrical supply services and controlled energy consumption and prices. [ABSTRACT FROM AUTHOR]

The aim of this paper is the comparative analysis of the relevant indicators for the Romanian electricity distribution companies (EDC) owned by state vs. regional competition from Central and Eastern Europe (CEE). These indicators are SAIFI - System Average Interruption Frequency Index, SAIDI - System Average Interruption Duration Index, CAIDI - Customer Average Interruption Duration Index, electricity distribution charges, technical and non-technical losses. [ABSTRACT FROM AUTHOR]