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- W1601606768 abstract "In this paper, a renewable power generation system is firstly introduced. This system consists of four important subsystems: a diesel generation subsystem, a photovoltaic (PV) subsystem, a DC/AC conversion subsystem and an electric double-layer capacitor (EDLC) energy-storage subsystem. The corresponding control methods of these subsystems are given in this paper. Next, a new prediction model-selftuning-weight Euler-type moving average prediction (EMAP) model is proposed to operate the distributed generation system in autonomous mode. The simulation results by MatlabSimulink and PSIM indicate that the response characteristics of this renewable generation system are good, and the required capacity of EDLC to compensate the fluctuation of both photovoltaic output and load demand are also greatly reduced." @default.
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- W1601606768 date "2008-10-01" @default.
- W1601606768 modified "2023-09-26" @default.
- W1601606768 title "Study on selftuning-weight EMAP model applied in collaborative operation of renewable power generation system" @default.
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