One-sample optimal output smoothing method for wind farm with energy storage system

被引：5

作者：

Koiwa, Kenta ^{[1
]}

Ishii, Tomoya ^{[1
]}

Liu, Kang-Zhi ^{[1
]}

Zanma, Tadanao ^{[1
]}

Tamura, Junji ^{[2
]}

机构：

[1] Chiba Univ, Dept Elect & Elect Engn, Chiba 2638522, Japan

[2] Kitami Inst Technol, Elect & Elect Engn Dept, Kitami, Hokkaido, Japan

来源：

IET RENEWABLE POWER GENERATION | 2021年 / 15卷 / 03期

关键词：

POWER FLUCTUATION; KALMAN FILTER; DISPATCH; STATE;

D O I：

10.1049/rpg2.12052

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper proposes a novel optimization method for energy storage systems (ESSs) to smooth wind farm output to satisfy the technical requirements and reduce the rated power (rated energy capacity) and charge/discharge loss of the ESS. The state of charge of the ESS operated by the proposed method can be regulated, guaranteeing some constraints. The proposed method has a very simple structure, does not require the wind farm output forecast and numerical optimization, such as particle swarm optimization. Therefore, a high-grade functional computation device is not needed. The effectiveness of the proposed method is verified by comparative analysis with conventional approaches through simulations.

引用

页码：653 / 663

页数：11

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