Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 578-586 |
| Number of pages | 9 |
| Journal | IET Renewable Power Generation |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 18 Mar 2019 |
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Smoothing control strategy of wind and photovoltaic output power fluctuation by considering the state of health of battery energy storage system. / Lamsal, Dipesh; Sreeram, Victor; Mishra, Yateendra; Kumar, Deepak.
In: IET Renewable Power Generation, Vol. 13, No. 4, 18.03.2019, p. 578-586.Research output: Contribution to journal › Article
TY - JOUR
T1 - Smoothing control strategy of wind and photovoltaic output power fluctuation by considering the state of health of battery energy storage system
AU - Lamsal, Dipesh
AU - Sreeram, Victor
AU - Mishra, Yateendra
AU - Kumar, Deepak
PY - 2019/3/18
Y1 - 2019/3/18
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85062705702&partnerID=8YFLogxK
U2 - 10.1049/iet-rpg.2018.5111
DO - 10.1049/iet-rpg.2018.5111
M3 - Article
VL - 13
SP - 578
EP - 586
JO - IET Renewable Power Generation
JF - IET Renewable Power Generation
SN - 1752-1416
IS - 4
ER -