List of Articles Mahmoud Samiei Moghaddam

• Open Access Article
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  1 - Presenting a Multi-Objective Stochastic Integrated Energy Management Model in Electrical and Thermal Microgrids by Locating CHP and Battery Sources, Thermal Storage and Demand Side Management
  Elmira Akhavan Maroofi Mahmoud Samiei Moghaddam Azita Azarfar Reza Davarzani Mojtaba Vahedi
  10.30486/teeges.2024.1999965.1106
  In this paper, an optimization model based on stochastic quadratic mixed integer programming to provide an integrated energy management of electricity and heat in electrical and thermal microgrids, taking into account the uncertainty of renewable energy sources, locatio More

  In this paper, an optimization model based on stochastic quadratic mixed integer programming to provide an integrated energy management of electricity and heat in electrical and thermal microgrids, taking into account the uncertainty of renewable energy sources, location of electricity generation sources and combined heat and power (CHP) along with energy and thermal storage systems and demand side management are provided in island operation and connected to the grid. A multi-objective function including minimization of energy loss, voltage deviation, cost of resource utilization, as well as reduction of renewable energy sources and reduction of installation cost is considered. The IEEE 69 bus distribution network was selected for analysis and coding was done in MATLAB software and CVX optimization package. The proposed model is also solved by the most powerful existing solver called Gurobi. The obtained results show the performance and accuracy of the proposed model. Manuscript profile
• Open Access Article
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  • Full-Text
  
  2 - Energy Management in Microgrids Using Compensators, Energy Storage Systems, Demand Response, and Integration of Renewable Energies
  Hamid Hematian Mohammad Tolou Akari Meysam AmirAhmadi Mahmoud Samiei Moghaddam Majid Babaeinik
  This article examines the challenges of energy management in microgrids, considering the uncertainties associated with renewable energy sources, dynamic demand, and the presence of various devices such as batteries, distributed generation sources, and electric vehicles. More

  This article examines the challenges of energy management in microgrids, considering the uncertainties associated with renewable energy sources, dynamic demand, and the presence of various devices such as batteries, distributed generation sources, and electric vehicles. The article introduces a complex optimization model designed for microgrid operations. This model focuses on mitigating the challenges of integrating power electronic generation units, managing demand within microgrids, and incorporating small-scale renewable energy sources. The goal of this model is to minimize various costs associated with energy losses, electricity purchases, load reduction, distributed generation operations, and battery costs over a 24-hour period. Simulations conducted on a test system demonstrate that the proposed model is effective, achieving up to a 20% reduction in microgrid operational costs. This approach provides an effective framework for enhancing the flexibility and efficiency of microgrid energy management, and the findings indicate that it outperforms comparative methods by a margin of at least 8%, demonstrating its effectiveness in improving critical indices in the microgrid system. Manuscript profile