DocumentCode
676591
Title
A method for optimal sizing of stand-alone hybrid PV/Wind/Battery system
Author
Nian, Y. ; Liu, Siyuan ; Wu, Dalei ; Liu, Jiangchuan
Author_Institution
North China Electr. Power Univ., Beijing, China
fYear
2013
fDate
9-11 Sept. 2013
Firstpage
1
Lastpage
4
Abstract
Based on the distributed energy technology, MicroGrid has caused wide attention. It is of great significance to solve the problem of electricity generation in rural areas by establishing an independent MicroGrid system, which mainly consists of solar energy and wind energy. It becomes crucial to find a way to optimize the structure of MicroGrid according to various energy situations. Based on the analysis of the general structure and operation modes of MicroGrid, a hybrid power model, which containing photovoltaic power system (PV), wind power system (WT) and energy storage battery (BATT), has been established in this article. The optimization model and corresponding calculation method not only provide an innovative research method, but also contribute to the further research and application on design methods and operation modes of the distributed MicroGrid system. According to the model established in the article, a MicroGrid system of a village scale has been analysed as an example. With the help of MATLAB Software, the branch and bound algorithm is used in order to minimize the cost of MicroGrid. The optimal installed capacity of PV, WT and BATT is presented. The generating cost per kWh and power supply reliability are demonstrated in this article as well.
Keywords
distributed power generation; hybrid power systems; optimisation; photovoltaic power systems; power system reliability; secondary cells; wind power plants; MATLAB software; distributed energy technology; electricity generation; energy storage battery; hybrid power model; microgrid system; optimal installed capacity; optimal sizing; optimization; photovoltaic power system; power supply reliability; solar energy; stand-alone hybrid PV-wind-battery system; wind energy; wind power system; MicroGrid; hybrid power system; optimization; the branch and bound algorithm;
fLanguage
English
Publisher
iet
Conference_Titel
Renewable Power Generation Conference (RPG 2013), 2nd IET
Conference_Location
Beijing
Electronic_ISBN
978-1-84919-758-8
Type
conf
DOI
10.1049/cp.2013.1803
Filename
6718714
Link To Document