This paper presents an implementation of monitoring and controlling services for energy-management system/supervisory-control-and-data-acquisition systems, based on IEC 61970 and IEC 61850 international standards. The proposed solution is based on Web services technology that enables the typical advantages of an open-source framework, such as applications decoupling, applications integration, reduction of upgrading costs, reuse of existing infrastructures, and ease of development. Standardized interfaces are provided by the generic interface definition interfaces of IEC 61970. The Web server that has been developed has been tested in a simulation environment where the physical devices of a generic power system were simulated with databases whose data models were provided by the common information model of IEC 61970.

This paper presents a novel approach to the CI interdependencies analysis, based on the DBN formalism. An original modeling procedure is illustrated, which divides the DBN in three distinct levels: an atomic events level, a propagation level, and a services level. The first level models the adverse events that may impact on the analyzed CIs, the second one properly captures interdependencies among CIs' services and devices, and the last one allows to monitor the state of provided services. The resulting DBN permits to perform three kinds of analysis: a reliability study, which allows to find structural weaknesses of interconnected CIs, an adverse events propagation study, which highlights the role interdependency plays in the propagation of adverse events, and a failure prediction analysis, that can serve as an useful guide to the fault localization process (failures may have many different explanations due to interdependency). A specific case study provided by Israel Electric Corporation is considered, and explicative simulations are presented and discussed in detail.

This paper deals with the problem of controlling electric vehicles charging in a smart grid. We present an event driven model predictive control (MPC) approach, which aims to find a proper trade-off between the needs of minimizing the cost of energy withdrawal and the error in the tracking of a reference aggregated charging power profile. All in respect of drivers' preferences, technical bounds on the control action (in compliance with the IEC 61851 standard) and grid constraints. The proposed control approach allows “flexible” EV users to participate in demand side management programs, which will play a crucial role for stability and efficiency of future smart grids. Simulation results are provided and discussed in details, showing the relevance of our contribution.