Smart Distribution Systems and Grid Synchronization of Renewable Energy Sources

Abstract

The state of art in electrical power system network analysis is examined for distributed generation (DG). The types of analysis required for DG evaluation are described briefly and areas suitable for further research. An effort is made to treasure accurate measures for coordination of DG for grid integration with all advanced communication technologies for monitoring, control, and protection as a smart-grid. This research proposes the vital operation of renewable energy sources (RES) like solar photovoltaic (PV), wind energy, fuel cell (battery) with an existing grid of AC and diesel generator as standby, in the interpretation of the cognitive and reliable process of power systems. These sources modeling and simulation is performed for optimal power flow based on power flow chart for demand-side management. The designed system fulfills realistic operation for the power system, based on fundamentals. At a fleeting look system up-gradation predominantly focuses on grid integration of multiple energy sources. This thesis comprises the design and development topology for three-phase grid integration for real-time monitoring, controlling and protection through a digital signal processor (DSP) and switchgear. All the power system parameters are displayed on the display unit through a parallel port controller area network bus (CANBUS). These parameters are vital for the synchronizing of voltage, frequency, and waveform at point of common coupling (PCC) at the time of grid integration with RES. Also, these are expedient for the switching of protective devices. For remotely monitoring and control an Ethernet port is implemented with the provision of GSM. newlineTo know the status of power for each stage of output an algorithm and flowchart are detailed and then each source of power is demarcated for their respective power output for the aptness of DSP programming. The DSP programming output is tested for each source generation energy capability and reported. Experimental results of the DSP based power quality indices are comp