Dear colleagues,

The optimized exploitation of existing electrical equipment is mandatory to delay the expansion and/or upgrade of existing transmission and distribution networks, avoiding the challenges introduced by allocation limits, space restrictions, and costs but still maintaining the capability to meet the increasing electrical demand. The smart grid paradigm allows for integrating information and power system technologies, thus managing the equipment by its dynamic ratings rather than its static ones, which are often too restrictive.

Dynamic rating modeling of electrical equipment is, however, not exempt from issues, since it is significantly affected by environmental conditions and by the intrinsic uncertainty in thermal modeling. Depending on the considered component, insulation aging, loss of minimum air gaps, dielectric failures, and electrodynamical stresses may occur as consequences of the loading beyond nameplate rating. These effects directly depend on the operating temperatures and on the ability of dissipating the heat losses; thus, any error in evaluating these aspects determines undesired physical consequences on the component itself.

This Special Issue will gather contributions on the dynamic rating of power system components, addressing the thermal modeling aspect and the evaluation of the influence of environmental and weather conditions and the application of dynamic-rating-based procedures for the planning and management of electrical networks and for unlocking the capacity of networks.

The proposals may also concern the economic and risk analysis related to the operation of equipment by the dynamic rating, or contributions for forecasting the variables involved in dynamic rating prediction. Review papers will also be taken into consideration for publication.

Particular attention will be dedicated to research addressing the reproducibility of the results of new proposals and consolidated techniques for dynamic rating. Eventually, papers on research projects involving cooperation among researchers from academia, system operators, and industry are encouraged to foster interactions among stakeholders.

Prof. Dr. Antonio Bracale
Dr. Pasquale De Falco
Dr. Andrea Michiorri
Guest Editors

Manuscript Submission Information

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• dynamic line rating
• dynamic transformer rating
• ampacity modelling
• overhead and underground conductors
• thermal models of transformers
• thermal models of overhead conductors
• thermal models of underground conductors
• forecasting for dynamic rating
• smart grids
• stochastic modeling
• weather impact on dynamic rating
• network planning and operation
• augmentation of network capacity
• transmission networks
• distribution networks
• risk analysis and economic analysis