DocumentCode :
535787
Title :
A study of optimal capacity of PV and battery energy storage system distributed in demand side
Author :
Hida, Yusuke ; Ito, Yuki ; Yokoyama, Ryuichi ; Iba, Kenji
Author_Institution :
Waseda Univ., Tokyo, Japan
fYear :
2010
fDate :
Aug. 31 2010-Sept. 3 2010
Firstpage :
1
Lastpage :
5
Abstract :
A sustainable energy such as solar power generation and wind power generation is known to have an important role aiming at the post-carbon-society. In Japan, the government has decided that the total installed capacity of PV generation would be 53 GW by 2030. In particular, it is assumed that PV generation is installed into the distributed network, mainly the demand side. However, the output of PV generation is not constant and varies depending on clime condition. As the countermeasure, BESS (battery energy storage system) attracts attention all over the world. If PV and BESS are installed in the demand side, the cost, which are installation cost and electricity rate of receiving power from utility, has to be considered. Therefore, in this paper, the reduction of total cost and CO2-emisison are calculated when introduced into demand side such as factory, commercial building and shopping center. Then the optimal capacities of PV and BESS are studied. In simulation, the forecasting of load and PV generation power are included. The improvement of cost and CO2-esimission may change by changing the error of forecasting and the shape of load curve. Therefore, the optimal capacities are discussed by changing the error of forecasting and the shape of load curve.
Keywords :
air pollution control; battery storage plants; carbon compounds; demand side management; load forecasting; photovoltaic power systems; BESS; CO2; PV energy storage system; battery energy storage system; demand side management; distributed network; installation cost; load forecasting; power 53 GW; solar power generation; sustainable energy; wind power generation; Biomedical optical imaging; Forecasting; Solar radiation; BESS; CO2-esmission; Cost; Demand side; Forecasting; Optimal capacity; PV generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference (UPEC), 2010 45th International
Conference_Location :
Cardiff, Wales
Print_ISBN :
978-1-4244-7667-1
Type :
conf
Filename :
5654372
Link To Document :
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