Study on Battery Capacity for Grid-connection Power Planning with Forecasts in Clustered Photovoltaic Systems
Author:
Affiliation:
1. Hitachi Research Laboratory, Hitachi, Ltd.
2. Tokyo University of Agriculture and Technology
3. Tokyo Institute of Technology
4. Kandenko Co., Ltd.
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://www.jstage.jst.go.jp/article/ieejpes/129/5/129_5_696/_pdf
Reference33 articles.
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2. (2) NEDO, PV2030検討委員会:「2030年に向けた太陽光発電ロードマップ(PV2030)」, http://www.nedo.go.jp/informations/other/161005_1/161005_1.html (2004)
3. (3) S. J. Chiang, K. T. Chang, and C. Y. Yen: “Residential Photovoltaic Energy Storage System”, IEEE Trans. Industrial Electronics, Vol. 45, No. 3, pp. 385-394 (1998)
4. Analysis of the effects of a passing cloud on a grid-interactive photovoltaic system with battery storage using neural networks
5. (5) S. Suzuki, H. Kita, K. Nishiya, and J. Hasegawa: “A Method for Economic Evaluation of Photovoltaic Systems Considering Dispersed-type Energy Storage Systems”, T. IEE Japan., Vol. 119-B, No. 12, pp. 1383-1391 (1999-12) (in Japanese)
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