Renewable energy sources and battery forecasting effects in smart power system performance

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

Research output: Contribution to journalArticle

Abstract

In this study, the influence of using acid batteries as part of green energy sources, such as wind and solar electric power generators, is investigated. First, the power system is simulated in the presence of a lead–acid battery, with an independent solar system and wind power generator. In the next step, in order to estimate the output power of the solar and wind resources, a novel forecast model is proposed. Then, the forecasting task is carried out considering the conditions related to the state of charge (SOC) of the batteries. The optimization algorithm used in this model is honey bee mating optimization (HBMO), which operates based on selecting the best candidates and optimization of the prediction problem. Using this algorithm, the SOC of the batteries will be in an appropriate range, and the number of on-or-off switching’s of the wind turbines and photovoltaic (PV) modules will be reduced. In the proposed method, the appropriate capacity for the SOC of the batteries is chosen, and the number of battery on/off switches connected to the renewable energy sources is reduced. Finally, in order to validate the proposed method, the results are compared with several other methods.

Original languageEnglish
Article number373
JournalEnergies
Volume12
Issue number3
DOIs
Publication statusPublished - Jan 24 2019

Fingerprint

Renewable Energy
Battery
Power System
Forecasting
System Performance
Solar wind
Solar system
Charge
Wind turbines
Wind power
Switches
Generator
Wind Power
Acids
Optimization
Wind Turbine
Forecast
Switch
Optimization Algorithm
Module

Keywords

  • Feature selection
  • Forecasting
  • Lead–acid battery
  • Renewable energy sources
  • State of charge

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

Bagheri, M., Nurmanova, V., Abedinia, O., Naderi, M. S., Ghadimi, N., & Naderi, M. S. (2019). Renewable energy sources and battery forecasting effects in smart power system performance. Energies, 12(3), [373]. https://doi.org/10.3390/en12030373

Renewable energy sources and battery forecasting effects in smart power system performance. / Bagheri, Mehdi; Nurmanova, Venera; Abedinia, Oveis; Naderi, Mohammad Salay; Ghadimi, Noradin; Naderi, Mehdi Salay.

In: Energies, Vol. 12, No. 3, 373, 24.01.2019.

Research output: Contribution to journalArticle

Bagheri, M, Nurmanova, V, Abedinia, O, Naderi, MS, Ghadimi, N & Naderi, MS 2019, 'Renewable energy sources and battery forecasting effects in smart power system performance', Energies, vol. 12, no. 3, 373. https://doi.org/10.3390/en12030373
Bagheri, Mehdi ; Nurmanova, Venera ; Abedinia, Oveis ; Naderi, Mohammad Salay ; Ghadimi, Noradin ; Naderi, Mehdi Salay. / Renewable energy sources and battery forecasting effects in smart power system performance. In: Energies. 2019 ; Vol. 12, No. 3.
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