In this paper we investigate the impact of model and measurement uncertainties on the state-estimation results for different estimators, and different measurement configurations in a three-phase distribution network. To obtain all the sensitivities of interest, the approach with a perturbation of the Karush-Kuhn-Tucker conditions was implemented. We express the sensitivities obtained in terms of uncertainty intervals rather than just partial derivatives. We also propose an upper error bound on the interval analysis. The presented approach has been used in a real-world scenario within the SUNSEED FP7 project to design the measurement configuration for a targeted state-estimation system’s accuracy.

Electricity production and distribution is facing two major changes. First, production is shifting from classical energy sources such as coal and nuclear power toward renewable resources such as solar and wind. Second, consumption in the low voltage grid is expected to grow significantly due to the expected introduction of electrical vehicles. The first step toward more efficient operational capabilities is to introduce an observability of the distribution system and allow for leveraging the flexibility of end connection points with manageable consumption, generation, and storage capabilities. Thanks to advanced measurement devices, management framework, and secure communication infrastructure developed in the FP7 SUNSEED project, the distribution system operator (DSO) now has full observability of the energy flows in the medium/low voltage grid. Furthermore, the prosumers are able to participate pro-actively and coordinate with the DSO and other stakeholders in the grid. The monitoring and management functionalities have strong requirements for communication latency, reliability, and security. This article presents novel solutions and analyses of these aspects for the SUNSEED scenario, where smart grid ICT solutions are pr

Nowadays, networks have to be able to cope with ever increasing traffic demands in order to deliver the desired quality to end users. Thus, proper network planning is essential in order to preserve telecom revenues by reduced income per bandwidth unit. This article addresses a user-centric approach to network and user traffic modeling that has been validated and used in the process of introducing, optimizing, and planning new services at the Slovenian national telecom operator and service provider, Telekom Slovenije d.d. The proposed approach is based on the end users and their user group profiles that are founded on real measurements from the observed telecommunication network consisting of more than 1000 MSANs and more than 300,000 subscribers. The proposed approach has been successfully validated, showing that for the observed period the modeled link load deviates less than 5 percent from the measurements. Furthermore, in the presented case study the proposed approach is used successfully in the process of introducing the Fast Channel Change service.