A study of optimal capacity of PV and battery energy storage system distributed in demand side

Yusuke Hida*, Yuki Ito, Ryuichi Yokoyama, Kenji Iba

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

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 53GW 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 foresting 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.

Original languageEnglish
Title of host publicationProceedings of the Universities Power Engineering Conference
Publication statusPublished - 2010
Event2010 45th International Universities' Power Engineering Conference, UPEC 2010 - Cardiff
Duration: 2010 Aug 312010 Sept 3

Other

Other2010 45th International Universities' Power Engineering Conference, UPEC 2010
CityCardiff
Period10/8/3110/9/3

Keywords

  • BESS
  • CO2-esmission
  • Cost
  • Demand side
  • Forecasting
  • Optimal capacity
  • PV generation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

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