Title :
Study on selftuning-weight EMAP model applied in collaborative operation of renewable power generation system
Author :
Kong, Lingzhi ; Tang, Xisheng ; Qi, Zhiping
Author_Institution :
Grad. Univ., Chinese Acad. of Sci., Beijing
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.
Keywords :
DC-AC power convertors; diesel-electric power stations; distributed power generation; electrolytic capacitors; moving average processes; photovoltaic power systems; power generation control; DC/AC conversion subsystem; Euler-type moving average prediction model; MatlabSimulink simulation; PSIM simulation; diesel generation subsystem; distributed generation system; electric double-layer capacitor energy-storage subsystem; photovoltaic subsystem; power system operation; renewable power generation system collaborative operation; selftuning-weight EMAP model; subsystem control methods; AC generators; Collaboration; DC generators; Mathematical model; Photovoltaic systems; Power generation; Power system modeling; Predictive models; Solar power generation; Supercapacitors;
Conference_Titel :
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3826-6
Electronic_ISBN :
978-7-5062-9221-4
