List of Articles Behrooz Zaker

• Open Access Article
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  1 - A New Dynamic Equivalent Model for Microgrids Including Distributed Generation Units and Static Compensators
  Behrooz Zaker
  10.30486/teeges.2023.1997093.1095
  Due to the expansion and increasing penetration level of distributed generation units which are usually inertialess or low inertia, new challenges have arisen in power system studies. Thus, in power system studies, microgrids which may have numerous distributed generati More

  Due to the expansion and increasing penetration level of distributed generation units which are usually inertialess or low inertia, new challenges have arisen in power system studies. Thus, in power system studies, microgrids which may have numerous distributed generation units should be modelled and simulated that is very time consuming and complex. Therefore, dynamic equivalencing of microgrids in order to reduce computation burden and complexity is inevitable. In this paper, a new method for dynamic equivalencing of microgrids that includes inverter-based generation units and DSTATCOMs is proposed. The proposed equivalent model is a physical one which includes components such as equivalent converter, controller, resistance, reactance and equivalent load. Using the measurement data at the point of common coupling and utilizing optimization procedure, the parameters of the equivalent model will be identified. The proposed method is applied to IEEE 33-bus test system to show its accuracy and effectiveness. Manuscript profile
• Open Access Article
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  2 - Increasing the Profit of Owners of Distributed Generation Units with Reducing Losses of Distribution System Using Modified Grey Wolf Algorithm
  Seyed Amir Mohammad Lahaghi Behrooz Zaker
  This paper presents a comprehensive solution for optimizing the performance of distributed generation units in distribution systems. Focusing on reducing distribution network losses, the proposed solution utilizes point-to-point pricing method to determine prices across More

  This paper presents a comprehensive solution for optimizing the performance of distributed generation units in distribution systems. Focusing on reducing distribution network losses, the proposed solution utilizes point-to-point pricing method to determine prices across the distribution system. The optimization objective is to minimize network losses, utilizing participatory prices declared by the owners of distributed generation units. Furthermore, price optimization is carried out using an improved grey wolf optimization algorithm, which employs a decision tree model to identify optimal solutions in each iteration, enhancing speed and accuracy at each stage of the algorithm training. The efficacy of the proposed method is evaluated on two IEEE 33-bus and 69-bus test distribution systems in MATLAB software, showing significant improvement in the speed and accuracy of the proposed solution compared to previous methods. Overall, this study can contribute to the advancement of efficient strategies for managing distributed generation units in distribution systems, emphasizing profitability and addressing network optimization challenges. Manuscript profile