{Design and control of smart DC microgrid for integration of renewable energy sources}

Title{Design and control of smart DC microgrid for integration of renewable energy sources}
Publication TypeConference Paper
Year of Publication2012
AuthorsKumar M., Singh S.N, Srivastava S.C
Conference Name2012 IEEE Power and Energy Society General Meeting
KeywordsAC-DC power convertor, AC-DC power convertors, autonomous coordinated control strategy, Batteries, Battery energy storage, battery energy storage system, dc microgrid, dc-dc Boost converter, DC-DC converters, DC-DC power convertors, DCMG, distributed power generation, Energy storage, fuel cell power plants, MATLAB-Simulink environment, peak power capacity, Photovoltaic power systems, power balancing, power control, power conversion, Power distribution control, power system simulation, Pulse width modulation, PWM power convertors, rated plant capacity, renewable energy source, renewable energy sources, single-phase load, smart DC microgrid, SOFC generator, Solar photovoltaic, solar power stations, Solar-photovoltaic, Solid oxide fuel cell, solid oxide fuel cell generator, solid oxide fuel cells, SPV, three-phase bidirectional PWM VSC, three-phase load, Voltage control, Voltage source converters, Wind turbine, Wind turbines, WT
AbstractThis paper presents the design, modeling, and operational analysis of an autonomous coordinated control strategy for a “DC microgrid” in islanded mode under various loading conditions, with and without Battery Energy Storage System. The DC Micro-Grid (DCMG) consists of Wind Turbine (WT), Solar Photo Voltaic (SPV), Solid Oxide Fuel Cell (SOFC) generators, dc and ac (three-phase and single-phase) loads. A three-phase bidirectional PWM VSC (ac-dc) is used for integrating WT to DCMG, which establishes constant dc voltage. In case of failure of this VSC, dc-dc boost converter employed for integrating SPV, has been utilized for establishing constant dc voltage. The SOFC generation is also integrated to DCMG through a dc-dc boost converter, which is controlled to maintain the power balance in the DCMG depending on the rated plant capacity and peak power capacity of the SOFC generation. The design, modeling and simulation of the proposed control scheme for the DCMG have been implemented in MATLAB/Simulink environment.