Achieving a minimum power fluctuation rate in wind and photovoltaic output power using discrete kalman filter based on weighted average approach

Dipesh Lamsal, Victor Sreeram, Yateendra Mishra, Deepak Kumar

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

In this study, a discrete Kalman filter-based approach is presented for minimising the output power fluctuations of wind and photovoltaic systems. The control strategy is based on the change in power fluctuation which is determined by the weighted average of the highest and lowest values of the power fluctuation for each interval of time. A genetic algorithm optimisation approach is utilised to determine the optimal value of weighted average such that the power fluctuation rate is minimum. This study also gives the optimum battery power and its state of charge to achieve smoothing determined by the optimal weighted average. On the basis of this optimum battery power, the specification and configuration of the battery energy storage system are also determined.

Original languageEnglish
Pages (from-to)633-638
Number of pages6
JournalIET Renewable Power Generation
Volume12
Issue number6
DOIs
Publication statusPublished - 30 Apr 2018

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