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Information Journal Paper

Title

ACO ALGORITHM IMPLEMENTATION IN RADIAL DISTRIBUTED NETWORK PLANNING

Pages

  27-35

Abstract

 This paper presents a new approach for RADIAL DISTRIBUTED NETWORK PLANNING with using ACO ALGORITHM. Ant colony optimization algorithm (ACO) is one of the best methods for optimization in difficult discrete problems. The new algorithm determines the optimal configuration of network and voltage level of each section of the feeders and calculates the optimum rating of the transformers and the size of each section of the feeders. This algorithm applied to a real 23-feeder radial test network of Gilan Regional Electricity Company in Iran. The results validate the superiority of new algorithm in comparison with particle swarm optimization (PSO) and supplying area algorithm. The important characteristics of this algorithm in this paper are its high speed in solving problems for instance 240 times of supplying area algorithm time and 18 times of PSO ALGORITHM time and 10% decreasing of final cost because of considering the transformers rating as an another searching space variable.

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    APA: Copy

    ROSHANFEKR, REZA, DOSTFATEME, MOJTABA, & SADOGHI YAZDI, HADI. (2009). ACO ALGORITHM IMPLEMENTATION IN RADIAL DISTRIBUTED NETWORK PLANNING. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), 1(2), 27-35. SID. https://sid.ir/paper/186497/en

    Vancouver: Copy

    ROSHANFEKR REZA, DOSTFATEME MOJTABA, SADOGHI YAZDI HADI. ACO ALGORITHM IMPLEMENTATION IN RADIAL DISTRIBUTED NETWORK PLANNING. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER)[Internet]. 2009;1(2):27-35. Available from: https://sid.ir/paper/186497/en

    IEEE: Copy

    REZA ROSHANFEKR, MOJTABA DOSTFATEME, and HADI SADOGHI YAZDI, “ACO ALGORITHM IMPLEMENTATION IN RADIAL DISTRIBUTED NETWORK PLANNING,” JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), vol. 1, no. 2, pp. 27–35, 2009, [Online]. Available: https://sid.ir/paper/186497/en

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