The problem of setting and coordination of Directional Over-Current Relay (DOCR) is a highly constrained optimization problem that has been solved as a linear programming problem. The calculation of the time dial setting (TDS) and pick up current (I P) setting of the relays is the core of the coordination. This paper calculates the TDS by choosing one of the available pick up current settings as the predetermined value, in this paper it will be set at 0.5, 1 and 1.5. The LP Dual simplex method is used to determine the optional TDS of the relays in compensated system by series FACTS devises ie Thyristor Controlled Series Capacitor (TCSC). A sample system of IEEE 33 bus distribution system is used to demonstrate the feasibility and efficiency of the developed method.

The smart grid system is key to the new electrical network infrastructure. It takes into account the use of the new information and communication technologies (ITC) and the integration of the renewable energy power generation (photovoltaics PV, concentrated solar power CSP, wind, etc). The smart grid promises better management and control of energy sources. The application of the smart grid, especially, in Algeria allows the optimal control of the electricity demand since the latter keeps rising continuously. The use of smart grid allows the rationalization of the electricity consumption in smart homes through appliance automated control. Input energy savings result in the reduction of c emission. Herein, we present a new energy management strategy tested in an experimental smart home (SM). The implemented management approach was made possible by using a new electronic system that allowed the control of all appliances via the internet network. For this purpose, a dynamic monitoring web interface was developed under an open source platform in order to process the whole data delivered by the system. The final output of the system which consists of a balance between all types of energy involved, including CO₂ gas emission, is displayed. It is only then that the user can take adequate decision and establish the priorities for rational use of the energy available.

The present paper investigates the effectiveness of Finite Set Model Predictive Current Control (FS-MPCC) for Shunt Active Filter SAF and its implementation on real bench. The method uses a Multivariable Filter MVF to extract the fundamental components of currents and voltages of the grid. The predictive control method uses a cost function containing the error of the filtered currents to be controlled. The performances of the control method are revealed throw simulation and experimental results and then commented. The obtained results show that predictive control is a powerful control method for such application in term of tracking performance and quality energy.

The paper presents a LP-Dual Simplex algorithm for linear constrained optimization problems. This approach proposed for the optimal coordination of Directional Over-Current Relays (DOCRs) in compensated distribution power systems with Distribution-FACTS devises i.e. Thyristor Controlled Series Capacitor (TCSC). The optimization problem is subject to a number of constraints which are mainly focused on the operation of the backup relay, which should operate if a primary relay fails to respond to the fault near to it, Time Dial Setting (TDS), Plug Setting (PS) and the minimum operating time of a relay. The system used to check the efficiency of the optimization algorithm which is IEEE 33-bus models.

In this paper, a three-phase shunt active filter is used to compensate for current harmonics and reactive power in three-phase distribution network system. In order to improve its performances, artificial neural networks and fuzzy logic approaches are used to control this device. The first controller, based on ADALINE networks, is used with the direct method in order to identify precisely the necessary currents to reduce the harmonics and to compensate reactive power. The neural network inputs are based on a decomposition of the measured currents. This decomposition is also based on the Fourier series analysis of the current signals and Least Mean Square (LMS) training algorithm to carry out the weights. In this case, three ADALINE are used to extract the fundamental component of the distorted line current directly from the three phase space. The second controller is the fuzzy logic controller, used to …