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A new prediction model of battery and wind-solar output in hybrid power system

  • Farzaneh Mirzapour
  • Mostafa Lakzaei
  • Gohar Varamini
  • Milad Teimourian
  • Noradin GhadimiEmail author
Original Research

Abstract

In this paper short term power forecast of wind and solar power is proposed to evaluate the available output power of each production component. In this model, lead acid batteries used in proposed hybrid power system based on wind-solar power system. So, before the predicting of power output, a simple mathematical approach to simulate the lead–acid battery behaviors in stand-alone hybrid wind-solar power generation systems will be introduced. Then, the proposed forecast problem will be evaluated which is taken as constraint status through state of charge (SOC) of the batteries. The proposed forecast model includes a feature selection filter and hybrid forecast engine based on neural network (NN) and an intelligent evolutionary algorithm. This method not only could maintain the SOC of batteries in suitable range, but also could decrease the on-or-off switching number of wind turbines and PV modules. Effectiveness of the proposed method has been applied over real world engineering data. Obtained numerical analysis, demonstrate the validity of proposed method.

Keywords

Forecast engine Lead acid battery State of charge Feature Selection 

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  • Farzaneh Mirzapour
    • 1
  • Mostafa Lakzaei
    • 2
  • Gohar Varamini
    • 3
  • Milad Teimourian
    • 4
    • 5
  • Noradin Ghadimi
    • 6
    Email author
  1. 1.Department of Computer Science, Faculty of Mathematics and ComputerShahid Bahonar University of KermanKermanIran
  2. 2.Department of Electrical EngineeringChabahar Maritime University (CMU)ChabaharIran
  3. 3.Department of Electrical Engineering, Beyza BranchIslamic Azad UniversityBeyzaIran
  4. 4.Sama Technical and Vocation Training College, Parsabad Moghan BranchIslamic Azad UniversityParsabad MoghanIran
  5. 5.Young Research and Elite Club, Germi BranchIslamic Azad UniversityArdabilIran
  6. 6.Young Researchers and Elite club, Ardabil BranchIslamic Azad UniversityArdabilIran

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