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Department of Applied Physics
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Department of Computer Science and Engineering
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Department of Biotechnology and Chemical Technology
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    ABSTRACT: A power outage brings in economic losses for both the customers and the utilities. Studying these unwanted events and making solid predictions about the outcomes of the interruptions has been an attractive area of interest for the researchers for the last couple of decades. By making use of a customer survey study conducted in Finland, this paper benefits from both the reported cost data collected from customers and from the analytical data that are available and then presents a new hybrid approach to estimate the customer interruption costs of service sector customer segment. Making use of Value Added information of the customers is a common practice for the cost normalization purposes. This paper verifies the approach by comparing the findings of the customer survey and the econometric model suggested here. This study is a unique source in terms of providing a reliable, easy to apply, and a straightforward model for calculating the economic impacts of power outages.
    International Journal of Electrical Power & Energy Systems 01/2015; 64:588–595.
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    ABSTRACT: A numerical approach to modelling contact problems with a unified friction and cohesion interface is formulated. A new nonlinear friction law is suggested for modelling micro-slip of metallic junctions due to contact asperities, and an associated cohesive zone due to adhesion describes the linear portion of the unified total interfacial hysteresis. A variational equality including both the regularized friction and cohesion terms is formulated for the numerical solution of the derived boundary value problem. The suggested modelling technique is readily implementable in the finite element method. There is an application on the representative problem involving the adhesively bonded and significantly normal-stressed contact surface. Macroscopic constitutive relationships between the cyclic tangential load and micro-displacements are established for the set of constant compressive normal loads. The related micromechanical arguments and experimental observations supporting the modelling theory are addressed.
    European Journal of Mechanics - A/Solids 01/2015; 49:205–213.
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    ABSTRACT: Highly stochastic loading in the emerging active distribution networks means that electric utilities need to use their assets to the fullest by deploying intelligent network management tools. Real-time thermal rating (RTTR) provides possibility for short term and even real-time active distribution network management enabling the network to run closer to an overload state without damage. In this study, a RTTR based active distribution network management framework is formulated giving hour-by-hour network capacity limits. Relationships of stochasticities in customer loads and DG output with thermal responses of underground cables, overhead lines and distribution transformers are explained. RTTR is applied on all distribution network components with simulated scenarios involving various levels of DG penetration. This study quantifies the potential for an increased DG utilization and an increased potential for new DG installations when RTTR is integrated with distribution management systems.
    Electric Power Systems Research 12/2014; 117:36-46.


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Top publications last week by downloads

the 47th Hawaii International Conference on System Sciences, Hawaii, USA; 01/2014
Advanced Materials 02/2011; 23(5):673-8.

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