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Optimum capacity of energy storage system considering solar radiation forecast error and demand response
Authors: Masahiro Furukakoi; Tomonobu Senjyu; Mohammad Masih Sediqi; Abdul Motin Howlader; Mir Sayed Shah Danish; Mohamed Ahmwd Moustafa Hassan; Toshihisa Funabashi;
Abstract
Most of electric power companies have introduced renewable energy which increases the power system uncertainty. It is expected that it increases the surplus and deficiency in power system supply. Thus, an energy storage systems and demand response are required for adjusting supply and demand. On the other hand, the power industries are exposed to competition, and needs an optimal operation to maximize their profits. So, Unit Commitment (UC) becomes an important issue. In this paper, the optimum capacity of energy storage system and demand response for UC in proposed.
Related Organizations
- Nagoya University Japan
- University of the Ryukyus Japan
- Kabul University Afghanistan
- University of the Ryukyus Japan
- Kabul University Afghanistan
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).4 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
4
Average
Average
Average