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      https://www.ias.ac.in/article/fulltext/sadh/047/0073

    • Keywords

       

      Distribution network; IABC algorithm; DG optimal placement; nodal pricing; nonlinear load model.

    • Abstract

       

      The growing use of distributed generation (DG) at the distribution level has led to a change in the status of distribution networks from a passive network to an active network such as transmission systems. Therefore, transmission network pricing method such as nodal pricing could be used in the distribution network.DG connection to the distribution network affects bus nodal pricing. If the DG presence reduces losses and congestion in the distribution network, nodal pricing will also decrease. This paper presents a method for calculating the optimal size and place of DG in the distribution network based on nodal pricing. This planning is done to maximize the profits of distribution companies that have used DG in their network to meet several advantages. The simulation was performed using the improved artificial bee colony algorithm (IABC). In theIABC algorithm, by exchanging the received information between bees according to Newton and gravity laws, it uses all this algorithm capacity to find the ideal answer by considering the constraints applied to the system. In most DG placement articles, network loads are assumed to be constant. Because loads are often sensitive to voltage and frequency, constant load analysis leads to inaccurate results. Therefore, in this paper, the proposed method is implemented on a 38-bus radial distribution system with a model of real loads sensitive to the voltage and frequency of the system, including residential, commercial, and industrial loads.

    • Author Affiliations

       

      MASOUD DASHTDAR1 MOJTABA NAJAFI1 MOSTAFA ESMAEILBEIG1 MOHIT BAJAJ2

      1. Electrical Engineering Department, Bushehr Branch, Islamic Azad University, Bushehr, Iran
      2. Department of Electrical and Electronics Engineering, National Institute of Technology, Delhi 110040, India
    • Dates

       
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