Smoothing control strategy of wind and photovoltaic output power fluctuation by considering the state of health of battery energy storage system

被引：52
|
作者：
Lamsal, Dipesh [1 ]
Sreeram, Victor [1 ]
Mishra, Yateendra [2 ]
Kumar, Deepak [3 ]
机构：
[1] Univ Western Australia, Sch Elect Elect & Comp Engn, Perth, WA, Australia
[2] Queensland Univ Technol, Sch Elect Engn & Comp Sci, Brisbane, Qld, Australia
[3] Motilal Nehru Natl Inst Technol Allahabad, Dept Elect Engn, Allahabad, Uttar Pradesh, India
来源：
IET RENEWABLE POWER GENERATION | 2019年 / 13卷 / 04期
关键词：
secondary cells; power generation control; battery storage plants; photovoltaic power systems; Kalman filters; wind power; fuzzy set theory; control strategy; photovoltaic output power fluctuation; battery energy storage system; photovoltaic systems; intermittent nature; solar irradiance; wind speed; fluctuated power; fuzzy-based discrete Kalman filter approach; output power fluctuations; PV generation systems; smooth output power; battery health; battery power; power fluctuation rates; LITHIUM-ION BATTERY; OF-CHARGE; KALMAN FILTER; CAPACITY; PREDICTION; MANAGEMENT; MODEL;
D O I：
10.1049/iet-rpg.2018.5111
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The output power of wind and photovoltaic (PV) systems contain fluctuations due to the intermittent nature of solar irradiance and wind speed. It is required to smooth the fluctuated power before supplying it to the grid. Here, a fuzzy-based discrete Kalman filter approach is proposed for smoothing output power fluctuations of the wind and PV generation systems using a battery energy storage system. The proposed approach incorporates the state of health of the battery as a feedback to not only obtain smooth output power but also improve the battery health by adaptively regulating the battery power. The effectiveness of the proposed approach is verified by evaluating the power fluctuation rates and performance indices.
引用
收藏
页码：578 / 586
页数：9
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