摘要：This paper proposes a distributed resource management scheme to avoid the need for energy storage and achieve the required frequency regulation. The energy sources considered in the microgrid are Solar PhotoVoltaics (SPV), Diesel Generators (DG), Fuel Cells (FC) and Plug-in Hybrid Electric Vehicles (PHEV). The frequency regulation is done by considering the SPV operation at a Limited-Power-Point (LPP) for spinning reserve using neuro-fuzzy control in coordination with PHEVs and other sources. In vehicle-to-grid (V2G) mode, State of Charge (SOC) of the battery in a PHEV shall be the deciding factor in allowing it to participate in the regulation. A simple additive-adaptive strategy based algorithm is proposed and tested in the isolated microgrid environment. Satisfactory results of frequency regulation were obtained upon consideration of scenarios, varying the load and insolation in steps.
关键词：Neuro-Fuzzy control; Frequency regulation; Energy management;
Limited-power-point-tracking; SolarPV; Fuel cells;V2G; Power quality
