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Balancing production and demand of energy is the main challenge to integrate renewable energy sources (RES) in micro-grid (MG) systems. However, the variability and the uncertainty nature of the production and the consumption make the system more difficult to control. In fact, weather conditions influence on the production of renewable energy sources while occupancy influences on the power consumption. Therefore, the development of accurate short term forecasts are needed for a seamless integration of RES (e.g. photovoltaic system, wind turbine) together with the traditional electrical grid in MG systems. This paper presents a forecasting model for predicting the power production and consumption in MG systems together with the battery state of charge (SoC). A control strategy is then implemented to balance the Demand/Response by taking into account the forecasted and real-time values. Based on the data collected from a real MG system, simulation results are presented to show the effectiveness of power forecasting for MG control.

M G systems integrate renewable energy sources (RES) together with storage devices for being connected to the traditional electrical grid in order to supply the power to the building's loads. However, management and control approaches are required for seamless integration of these systems in energy efficient buildings. In this paper, a model predictive control approach is introduced for efficient MG operation. The proposed approach allows minimizing the usage of the traditional electric grid for supplying the power to the building's loads by using as much as possible the power generated by RES while optimizing the storage devices operations. A model predictive control (MPC) strategy is proposed in order to balance the power flow in MG system. The deployed strategy controls the charge/discharge current of the battery depending on RES production, and load consumption variability. Simulations have been conducted using real dataset generated from our deployed MG system, and preliminary results show the usefulness of predictive control principles for the efficient operation of MG systems.

Renewable energy sources (RES) have been promoted to overcome environmental constraints as well as the scarcity of fossil energy sources. In fact, many initiatives have been deployed by integrating these sources (e.g. Photovoltaic panel, Wind, Fuel cell...) in order to increase energy efficiency (i.e., electricity production) in buildings while limiting CO 2 emissions. In parallel to this development, micro-grids have emerged as decentralized systems to allow connecting different decentralized sources in which buildings become active electricity producers in addition to the main traditional electric grid. However, a smarter demand response management system is required to efficiently balancing the energy production, storage, and the electricity consumption. In this paper, a demand/response control approach is introduced by integrating into a holistic platform different RES together with storage devices for supplying electricity to buildings equipment (e.g. ventilation system, lighting…). A prototype was developed and deployed in our EEBLab for experiments and real-testing. Preliminary experimental results are reported and show the usefulness of the proposed holistic approach.

A presentation of lab practical experiences in monolithic microwave integrated circuits (MMIC) design is given. Two typical circuits have been selected, demonstrating the feasibility by students of designs with respect to the two main objectives: linear and nonlinear simulation of those circuits. These designs have been performed according to the ESPRIT EUROCHIP program, within multichip projects. >

Technological developments in computers, microwave devices and CAD microwave software make it mandatory to review traditional courses involved in teaching microwave engineering and at the same time offers the opportunity to develop new courses which could not be taught in a reasonable manner without those advances. In this paper we describe the development of a new course in the microwave engineering program that we have made at Grenoble Polytechnic National Institute to take advantage of the availability of powerful CAD microwave software.

Analysis of discontinuities effects due to passive components (interconnecting lines) in modern packages is given. Interconnections used are multilevel designed and burried in multilayered dielectric substrate. Theoretical predictions based on proposed analysis are compared with the experimental results obtained on specific test vehicles.