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

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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.

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Authors and Affiliations

  1. Department of Computer Science, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran

    Farzaneh Mirzapour

  2. Department of Electrical Engineering, Chabahar Maritime University (CMU), Chabahar, Iran

    Mostafa Lakzaei

  3. Department of Electrical Engineering, Beyza Branch, Islamic Azad University, Beyza, Iran

    Gohar Varamini

  4. Sama Technical and Vocation Training College, Parsabad Moghan Branch, Islamic Azad University, Parsabad Moghan, Iran

    Milad Teimourian

  5. Young Research and Elite Club, Germi Branch, Islamic Azad University, Ardabil, Iran

    Milad Teimourian

  6. Young Researchers and Elite club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

    Noradin Ghadimi

Authors
  1. Farzaneh Mirzapour
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  2. Mostafa Lakzaei
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  3. Gohar Varamini
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  4. Milad Teimourian
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  5. Noradin Ghadimi
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Correspondence to Noradin Ghadimi.

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Mirzapour, F., Lakzaei, M., Varamini, G. et al. A new prediction model of battery and wind-solar output in hybrid power system. J Ambient Intell Human Comput 10, 77–87 (2019). https://doi.org/10.1007/s12652-017-0600-7

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  • DOI: https://doi.org/10.1007/s12652-017-0600-7

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