List of Articles Mahmood  Joorabian

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  1 - Optimal Planning Model for Electric Vehicle Fast Charging Stations in a Low-Polluting Distribution Network to Improve Technical and Economic Parameters
  Moaiad Mohseni Alireza Niknam Kumlah Javad Ebrahimi Mahyar  Abasi Mahmood Joorabian
  One of the biggest and most important reasons for the removal fossil cars from the global car markets is their pollution, which has caused air pollution. But the use of electric cars does not have these many problems and has led to the increasing popularity of electric More

  One of the biggest and most important reasons for the removal fossil cars from the global car markets is their pollution, which has caused air pollution. But the use of electric cars does not have these many problems and has led to the increasing popularity of electric cars. In most of the articles, the charging rate is considered continuous, while the charging stations work with a discrete rate and are mostly of single rate type. In this paper, the mathematical model for electric vehicles charging with a discrete rate is stated, in which the benefit of the electric vehicle consumers, the benefit of the charging coordinating unit, and the benefit of the network operator are met equally. Then, the problem of preventing high disconnections and connections that lead to damage to the charging station is expressed in mathematical form and applied to the problem. Finally, the development planning model of the discrete rate charging station in the network is proposed as an innovation and optimized by the mixed integer non-linear programming method. The results show that the electric vehicle's discrete charging rate, while simple, can bring many benefits from the point of view of flattening the load profile, providing the power required by the consumers, and meeting the network security restrictions. But the lack of development of the distribution network will prevent the growth of penetration of electric vehicles in the network. Also, the presence of these stations and their optimal planning will reduce the emission of pollutants in the environment. Manuscript profile
• Open Access Article
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  2 - Unit Commitment Planning Under Uncertainty and Fuel Cost Volatility with Economical and Emission Reduction Objective
  Mahyar  Abasi Javad Ebrahimi Sajad Bagheri Moaiad Mohseni Alireza Niknam Kumlah Mahmood  Joorabian
  The mismatch between production and consumption and concern for providing the energy needed in the power grid has always been one of the problems of grid operators. Also, large-scale electricity production has always been a costly and polluting industry. Therefore, engi More

  The mismatch between production and consumption and concern for providing the energy needed in the power grid has always been one of the problems of grid operators. Also, large-scale electricity production has always been a costly and polluting industry. Therefore, engineers and power generation companies have always been looking for a cheap and clean way to generate power so that they can overcome the power imbalance and ensure stability and the allowed level of pollutants in the network. The most common sources used in the power grid to generate power are gas and thermal units, these units enter the circuit faster and, of course, have a higher production cost. When to use thermal units and when to use gas units in the network is a complex issue, which depends on various factors such as peak time, fuel price and gas supply network conditions. None of these things are certain in their true state. Therefore, in this article, the uncertainty of gas sources and the variability of gas prices in the problem of the participation of power plant units in the power system have been modeled and analyzed by GAMS software. Also, the mixed integer non-linear programming solution method has been used to solve the problem. The results show that if there is uncertainty in the gas sources, there is a greater tendency to use other power plants in the network in order to maintain the security and stability of the network. Manuscript profile