Impacts of Renewable Energy Sources by Battery Forecasting on Smart Power Systems

Mehdi Bagheri, Venera Nurmanova, Oveis Abedinia, Mohammad Salay Naderi, Noradin Ghadimi, Mehdi Salay Naderi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this work the impacts of lead acid batteries by considering renewable sources (i.e., solar and wind energies) on power system is presented. First of all, we modeled the power system by lead-acid battery in stand-alone synthetic solar and wind production model and then the suggested forecasting model will be applied on wind and solar to estimate the available output power of each units. After that, the prediction subject will be calculated that is taken as constraint status based state of charge (SOC) of the batteries. The proposed solution includes of filtering the candidate inputs, synthetic prediction model based honey bee mating optimization (HBMO). By this method, the SOC of batteries will be in appropriate range and the on-or-off switching number of wind turbines and PV modules will be reduced. The suggested model is compared with methods to show the validity of suggested strategy.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538651858
DOIs
Publication statusPublished - Oct 16 2018
Event2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018 - Palermo, Italy
Duration: Jun 12 2018Jun 15 2018

Other

Other2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018
CountryItaly
CityPalermo
Period6/12/186/15/18

Keywords

  • Feature Selection
  • Forecasting
  • Lead acid battery
  • State of charge

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Environmental Engineering
  • Hardware and Architecture

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  • Cite this

    Bagheri, M., Nurmanova, V., Abedinia, O., Naderi, M. S., Ghadimi, N., & Naderi, M. S. (2018). Impacts of Renewable Energy Sources by Battery Forecasting on Smart Power Systems. In Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018 [8493801] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEEIC.2018.8493801