Power and hour capacity requirement for an energy storage from grid codes

研究成果: Conference contribution

抜粋

This paper studied power and hour capacity requirement for energy storage by two approaches. First one is evaluations without constrained condition of power and hour capacity with 80 sets of maximum ramp rates and time windows. And second one is evaluations with constrained condition of power and hour capacity for 2 grid codes (less than 0.1pu change of wind farm (WF) capacity in 20min time window, showing 0.1pu/20min in this paper, and 0.3pu/360min) to see details. The first evaluation in case of 3a resulted 1.0 pu power capacity (charge plus discharge capacity for all result) and 1.3 to 2.2 pu-h hour capacity are required to satisfy maximum ramp rate in time window of 0.1pu/20min. And 1.2 to 1.3 pu and 13 to 18 pu-h are required for 0.3pu/360min. And from the second evaluation in case of 3a, 0.7 to 0.8 pu power capacity and 1 to 2 pu-h for 0.1pu/20min and 1.0 pu and 10 to 15 pu-h are required for 0.3pu/360min. This paper provides relationship between maximum ramp rate in time windows and power and hour capacity requirement. The results help to answer questions whether power and hour capacity requirement satisfy grid codes with simple operating method of an energy storage system.

元の言語English
ホスト出版物のタイトルAsia-Pacific Power and Energy Engineering Conference, APPEEC
出版者IEEE Computer Society
2016-January
ISBN(印刷物)9781467381321
DOI
出版物ステータスPublished - 2016 1 12
イベントIEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015 - Brisbane, Australia
継続期間: 2015 11 152015 11 18

Other

OtherIEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015
Australia
Brisbane
期間15/11/1515/11/18

    フィンガープリント

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

これを引用

Ito, M., Fujimoto, Y., Mitsuoka, M., Ishii, H., & Hayashi, Y. (2016). Power and hour capacity requirement for an energy storage from grid codes. : Asia-Pacific Power and Energy Engineering Conference, APPEEC (巻 2016-January). [7381022] IEEE Computer Society. https://doi.org/10.1109/APPEEC.2015.7381022