Optimal scheduling and energy management of a residential hybrid microgrid

ISBN:

9781509056828

URL:

https://ieeexplore.ieee.org/document/8244988

Keywords:

Batteries, battery charging, bidirectional inverter, Bidirectional power flow, Bridge circuits, buildings (structures), controllable loads, DC bus voltage, Distributed power generation, dual active bridge converter, Dual Active Bridge(DAB), Energy management, Energy Management strategy, Energy management systems, energy savings, generating sources, hybrid power systems, Inverters, invertors, Linear programming, linear programming technique, load forecast, Load forecasting, Load modeling, Low voltage, Low voltage DC bus, Matlab-Simulink, Microgrids, mode switching algorithm, Optimal scheduling, photovoltaic power systems, power generation economics, power generation scheduling, residential hybrid microgrid, secondary cells, Storage units

Abstract:

Residential microgrids are evolved from the prosumer concept. They are simply a home containing different generating sources, storage units and controllable loads. The optimal scheduling of a residential hybrid microgrid is an important aspect for improvised performance of the system and energy savings. The energy management strategy of a residential microgrid is responsible for setting the operating point of each and every component in the microgrid, such as the power delivered by the storage and the generating sources, the power used by loads and the power exchanged with the grid The objective function is formulated as to minimize the cost incurred by grid import by optimizing battery charging and discharging based on PV and load forecast. Linear programming technique is used for optimal scheduling of battery. A dual active bridge converter is used for bidirectional power flow for boosting up the dc bus voltage to a higher voltage for bidirectional inverter. A mode switching algorithm is used as an energy management strategy for exchanging the surplus and deficit power with main grid. Basic simulations are performed in MATLAB/SIMULINK.