Reducing power fluctuations from wind and photovoltaic systems using discrete Kalman filter

Dipesh Lamsal; Victor Sreeram; Yateendra Mishra

doi:10.1109/AUPEC.2016.07749297

Reducing power fluctuations from wind and photovoltaic systems using discrete Kalman filter

Dipesh Lamsal, Victor Sreeram, Yateendra Mishra

Research output: Chapter in Book/Conference paper › Conference paper

4 Citations (Scopus)

Abstract

The battery energy storage system (BESS) is extensively used to deal with the fluctuations in grid injected power caused by the variations in wind speed and solar insolation. This paper proposes a Kalman filter based control strategy for reducing the fluctuations in power injection from wind and photovoltaic (PV) system using BESS. The investigated time period is divided into several intervals such that the variation of power fluctuation in each interval can be obtained. The fluctuations are evaluated by determining the maximum and minimum value of the grid injected power in the given interval. Discrete Kalman Filter uses the weighted average value of the maximum and minimum of the fluctuated power of each interval to generate the desired output power of the wind and PV generation such that the fluctuations are drastically reduced.

Original language	English
Title of host publication	Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016
Editors	Mithulan Nadarajah, Narottam Das, Rahul Sharma, Hui Ma
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781509014057
DOIs	https://doi.org/10.1109/AUPEC.2016.07749297
Publication status	Published - 18 Nov 2016
Event	2016 Australasian Universities Power Engineering Conference, AUPEC 2016 - Brisbane, Australia Duration: 25 Sep 2016 → 28 Sep 2016

Conference

Conference	2016 Australasian Universities Power Engineering Conference, AUPEC 2016
Country	Australia
City	Brisbane
Period	25/09/16 → 28/09/16

Access to Document

10.1109/AUPEC.2016.07749297

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Lamsal, D., Sreeram, V., & Mishra, Y. (2016). Reducing power fluctuations from wind and photovoltaic systems using discrete Kalman filter. In M. Nadarajah, N. Das, R. Sharma, & H. Ma (Eds.), Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016 [7749297] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/AUPEC.2016.07749297

Lamsal, Dipesh ; Sreeram, Victor ; Mishra, Yateendra. / Reducing power fluctuations from wind and photovoltaic systems using discrete Kalman filter. Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016. editor / Mithulan Nadarajah ; Narottam Das ; Rahul Sharma ; Hui Ma. IEEE, Institute of Electrical and Electronics Engineers, 2016.

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title = "Reducing power fluctuations from wind and photovoltaic systems using discrete Kalman filter",

abstract = "The battery energy storage system (BESS) is extensively used to deal with the fluctuations in grid injected power caused by the variations in wind speed and solar insolation. This paper proposes a Kalman filter based control strategy for reducing the fluctuations in power injection from wind and photovoltaic (PV) system using BESS. The investigated time period is divided into several intervals such that the variation of power fluctuation in each interval can be obtained. The fluctuations are evaluated by determining the maximum and minimum value of the grid injected power in the given interval. Discrete Kalman Filter uses the weighted average value of the maximum and minimum of the fluctuated power of each interval to generate the desired output power of the wind and PV generation such that the fluctuations are drastically reduced.",

keywords = "Battery storage, Discrete Kalman filter, Weighted average, Wind and PV fluctuations",

author = "Dipesh Lamsal and Victor Sreeram and Yateendra Mishra",

year = "2016",

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booktitle = "Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016",

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address = "United States",

note = "2016 Australasian Universities Power Engineering Conference, AUPEC 2016 ; Conference date: 25-09-2016 Through 28-09-2016",

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Lamsal, D, Sreeram, V & Mishra, Y 2016, Reducing power fluctuations from wind and photovoltaic systems using discrete Kalman filter. in M Nadarajah, N Das, R Sharma & H Ma (eds), Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016., 7749297, IEEE, Institute of Electrical and Electronics Engineers, 2016 Australasian Universities Power Engineering Conference, AUPEC 2016, Brisbane, Australia, 25/09/16. https://doi.org/10.1109/AUPEC.2016.07749297

Reducing power fluctuations from wind and photovoltaic systems using discrete Kalman filter. / Lamsal, Dipesh; Sreeram, Victor ; Mishra, Yateendra.

Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016. ed. / Mithulan Nadarajah; Narottam Das; Rahul Sharma; Hui Ma. IEEE, Institute of Electrical and Electronics Engineers, 2016. 7749297.

Research output: Chapter in Book/Conference paper › Conference paper

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AU - Lamsal, Dipesh

AU - Sreeram, Victor

AU - Mishra, Yateendra

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Y1 - 2016/11/18

N2 - The battery energy storage system (BESS) is extensively used to deal with the fluctuations in grid injected power caused by the variations in wind speed and solar insolation. This paper proposes a Kalman filter based control strategy for reducing the fluctuations in power injection from wind and photovoltaic (PV) system using BESS. The investigated time period is divided into several intervals such that the variation of power fluctuation in each interval can be obtained. The fluctuations are evaluated by determining the maximum and minimum value of the grid injected power in the given interval. Discrete Kalman Filter uses the weighted average value of the maximum and minimum of the fluctuated power of each interval to generate the desired output power of the wind and PV generation such that the fluctuations are drastically reduced.

AB - The battery energy storage system (BESS) is extensively used to deal with the fluctuations in grid injected power caused by the variations in wind speed and solar insolation. This paper proposes a Kalman filter based control strategy for reducing the fluctuations in power injection from wind and photovoltaic (PV) system using BESS. The investigated time period is divided into several intervals such that the variation of power fluctuation in each interval can be obtained. The fluctuations are evaluated by determining the maximum and minimum value of the grid injected power in the given interval. Discrete Kalman Filter uses the weighted average value of the maximum and minimum of the fluctuated power of each interval to generate the desired output power of the wind and PV generation such that the fluctuations are drastically reduced.

KW - Battery storage

KW - Discrete Kalman filter

KW - Weighted average

KW - Wind and PV fluctuations

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Lamsal D, Sreeram V , Mishra Y. Reducing power fluctuations from wind and photovoltaic systems using discrete Kalman filter. In Nadarajah M, Das N, Sharma R, Ma H, editors, Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016. IEEE, Institute of Electrical and Electronics Engineers. 2016. 7749297 https://doi.org/10.1109/AUPEC.2016.07749297