Kalman filter approach for dispatching and attenuating the power fluctuation of wind and photovoltaic power generating systems

Dipesh Lamsal, Victor Sreeram, Yateendra Mishra, Deepak Kumar

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

The battery energy storage system (BESS) is a popularly used source to smooth the power fluctuation caused by variation of wind speed and solar irradiance. The forecasted data of wind and solar irradiance may contain bias error and does not provide the true power available from wind and photovoltaic generating systems. This study proposes a method based on discrete Kalman filter (DKF) to eliminate the bias error present in the forecasted data so that true power of wind and photovoltaic systems could be predicted. A DKF-based state-space approach is utilised to predict the true power obtained through wind and photovoltaic generating systems. The proposed approach also attenuates the power fluctuation of wind and PVGSs considering the desired power dispatched to the load as well as evaluates the BESS power needed for this purpose.

Original languageEnglish
Pages (from-to)1501-1508
Number of pages8
JournalIET Generation, Transmission and Distribution
Volume12
Issue number7
DOIs
Publication statusPublished - 10 Apr 2018

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