Abstract

Abstract
This paper proposes a control technique of an interfaced converter for the integration of Distributed Generation (DG) sources into the power grid. The proposed control technique provides compensation for the active, reactive, and harmonic current components of grid-connected loads. Proper switching functions of the interfaced converter have been defined based on passivity control theory by achieving space equations and suitable series damping injection. Comprehensive simulation results under steady-state and dynamic operating conditions are provided. The effectiveness of the proposed control technique is demonstrated and validated by injecting the maximum available power from DG sources to the power grid, correcting power factor (PF) between grid current and load voltage, generating a fixed voltage at the point of common coupling (PCC) and reducing total harmonic distortion (THD) of grid current.

Abstract
In the current technological landscape, companies face problems associated with the development of mobile applications and rapid integration with their enterprise systems to ensure the availability of value-added services for its customers in pervasive environment. To fill this gap, a generic model for dynamic switching of communication channels to ensure the principles of transparency in distributed environments is proposed, by: (1) designing an interchangeable communication layer for mobile applications; (2) ensuring the transparency of the communication channels; (3) proposing a framework for the development of mobile applications in distributed environment to guarantee the mentioned above communication transparency.

Abstract
In this paper we introduce a formation control loop that maximizes the performance of the cooperative perception of a tracked target by a team of mobile robots, while maintaining the team in formation, with a dynamically adjustable geometry which is a function of the quality of the target perception by the team. In the formation control loop, the controller module is a distributed non-linear model predictive controller and the estimator module fuses local estimates of the target state, obtained by a particle filter at each robot. The two modules and their integration are described in detail, including a real-time database associated to a wireless communication protocol that facilitates the exchange of state data while reducing collisions among team members. Simulation and real robot results for indoor and outdoor teams of different robots are presented. The results highlight how our method successfully enables a team of homogeneous robots to minimize the total uncertainty of the tracked target cooperative estimate while complying with performance criteria such as keeping a pre-set distance between the teammates and the target, avoiding collisions with teammates and/or surrounding obstacles.

Abstract
This paper aims at presenting a Home Energy Management System ( HEMS) module capable of scheduling electric water heater ( EWH) appliances in order to optimize the PV self-consumption. A multi-period optimization model is presented. Laboratory tests were conducted to validate the model and to demonstrate the capability of this HEMS module to address recent challenges of self-consumption in a domestic environment. A commercial EWH device developed by Bosch communicating with the HEMS module is used to perform the tests.

Abstract