Study on modified EMAP model and its application in collaborative operation of hybrid distributed power generation system

Author

Kong, Lingzhi ; Tang, Xisheng ; Qi, Zhiping

Author_Institution

Inst. of Electr. Eng., Chinese Acadamy of Sci., Beijing, China

fYear

2009

fDate

6-7 April 2009

Firstpage

1

Lastpage

7

Abstract

In this paper, a renewable power generation system is firstly introduced. This system consists of three main units: a microturbine power generation unit, a photovoltaic (PV) power generation unit, and an ultracapacitor quick energy storage (QES) unit. The corresponding control strategies of these units are subsequently given. Then, a new prediction model-unequal-M-division N-point Euler-type Moving Average Prediction (UEMAP) 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 power generation system are good, and the required capacity of ultracapacitor to compensate the fluctuation of both photovoltaic output and load demand are also greatly reduced.

Keywords

distributed power generation; hybrid power systems; supercapacitors; Matlab-Simulink; PSIM; hybrid distributed power generation system; microturbine power generation unit; model-unequal-M-division N-point Euler-type Moving Average Prediction; photovoltaic power generation unit; renewable power generation system; ultracapacitor quick energy storage unit; Collaboration; Distributed control; Distributed power generation; Energy storage; Mathematical model; Photovoltaic systems; Power system modeling; Predictive models; Solar power generation; Supercapacitors; Distributed Power Generation; Euler Moving Average Prediction Model; Microturbine Generator; Photovoltaic Power Generation; Quick Energy Storage; Renewable Energy; Ultracapacitor;

fLanguage

English

Publisher

ieee

Conference_Titel

Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-4934-7

Type

conf

DOI

10.1109/SUPERGEN.2009.5348239

Filename

5348239