Prajwal K. Gautam , Dept. of Electrical and Computer Engineering

1. Integration and Control of Single and Three Phase Energy Sources in a Micro-Grid Dr. Ganesh K. Venayagamoorthy, Dept of Electrical & Computer Engineering Dr. Keith A. Corzine, Dept. of Electrical & Computer Engineering Prajwal K. Gautam, Dept. of Electrical and Computer Engineering Results • Inverter control maintains positive sequence voltage at a fixed level in q axis and all other components controlled at zero. • Positive and negative sequence currents are supplied by energy storage system to compensate single phase wind. • Extensive modeling of energy storage system (ESS), three-phase photovoltaic system and single-phase wind generation. • Design ESS to compensate single phase wind generation. • Develop adaptive critic design (ACD) based intelligent load management in a micro-grid. Project Objectives • Integration of hybrid three-phase solar and single-phase wind turbine supply power to a three-phase grid independent micro-grid system resulting into an unbalanced set of currents. • A battery inverter system is used as power conditioning system to compensate single-phase generation. • Traditional priority based load management controller is highly inefficient as energy is dispatched to entire critical and non critical loads without assigning priority to loads based on available power. • ACD based energy dispatch controller prioritize between critical loads, state of charge of battery and non critical load such that energy dispatch is maximized. • Energy storage system with negative sequence current control has been presented for regulation of the micro grid voltage and compensation of the various source types. • Simulation results demonstrate effectiveness of control when solar and wind sources are connected to the grid and during steady-state. • Implement intelligent load management controller in the micro grid. • Tune PI gains of power converters on extensive models using intelligent methods. • Step ahead prediction of solar & wind generation, critical and non-critical load and battery SOC. Future Works Conclusion Background ESS ESS+Solar Control Method for Energy Storage System ESS+Solar ESS Instantaneous Current & Power Equations for Energy Storage Positive sequence q axix voltage maintained at all times Positive & negative sequence currents supplied by ESS • Using Adaptive Dynamic Programming approach, the intelligent energy dispatch controller ensures • Supply power to critical loads all the time • Sustain SOC of battery at required level based on predicted power • If above conditions are satisfied, maximize power supply to non-critical loads Active & reactive power flow with solar, wind, ESS and 5.6 kW load with micro-grid system (pf= 0.8) ESS+Solar+Wind ESS+Solar+Wind Block diagram for a ACD based energy dispatch controller • Energy storage system has been designed utilizing a multiple reference frame control to compensate for the single-phase generation by injecting unbalanced currents into the micro-grid. Simulation of the micro grid system is carried out Real Time Digital Simulator (RTDS/RSCAD). Approach Acknowledgements: Intelligent Systems Centre, Missouri University of Science and Technology National Science Foundation under the grant Neuroscience and Neutral Networks for Engineering the Future Intelligent Power Grid, NSF/EFRI COPN #083617 Department of Education under the grant Advanced Computational Techniques and Real-Time Simulation Studies for the Next Generation Energy System, GAANN #P200A070504