Proceedings of the 4th International Conference on Innovation in Education, Science and Culture, ICIESC 2022, 11 October 2022, Medan, Indonesia

Research Article

Optimal Reconfiguration of Radial Distribution Network Considering Time Varying Load using Firefly Algorithm

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  • @INPROCEEDINGS{10.4108/eai.11-10-2022.2325541,
        author={Dadang  Mulyana and Yoakim  Simamora and Muhammad  Isnaini},
        title={Optimal Reconfiguration of Radial Distribution Network Considering Time Varying Load using Firefly Algorithm},
        proceedings={Proceedings of the 4th International Conference on Innovation in Education, Science and Culture, ICIESC 2022, 11 October 2022, Medan, Indonesia},
        publisher={EAI},
        proceedings_a={ICIESC},
        year={2022},
        month={12},
        keywords={network reconfiguration firefly algorithm time varying load},
        doi={10.4108/eai.11-10-2022.2325541}
    }
    
  • Dadang Mulyana
    Yoakim Simamora
    Muhammad Isnaini
    Year: 2022
    Optimal Reconfiguration of Radial Distribution Network Considering Time Varying Load using Firefly Algorithm
    ICIESC
    EAI
    DOI: 10.4108/eai.11-10-2022.2325541
Dadang Mulyana1,*, Yoakim Simamora1, Muhammad Isnaini1
  • 1: Universitas Negeri Medan
*Contact email: dadangmulyana@unimed.ac.id

Abstract

Increase population growth, industrial growth and the economic growth of the Indonesian people is directly proportional to the level of need consumers of the need for electric power, this leads to the wider topology power grid of the plant, transmission system, medium voltage distribution system to low voltage distribution systems. At this time the distribution system is still often used is a radial distribution system, the impact of the use of the system radial distribution is an active power loss and high voltage drop, one of the solutions to solve this problem is to reconfigure the distribution network. Network reconfiguration is one way to optimize energy flow by opening and closing switches contained in the distribution network. The study using 2 scenarios in the reconfiguration process, the first scenario is fixed reconfiguration, determining the most optimal distribution network configuration based on peak load conditions, the second scenario is hourly reconfiguration, Hourly reconfiguration, determining the most optimal distribution network configuration with for each charge level, these two scenarios are expected to determine the most optimal radial distribution network configuration. The result of initial conditions simulating in the IEEE 33 bus in first scenario have power losses 202,66 kW, after fix reconfiguration obtained 139,53 kW. The result of initial conditions simulating in the IEEE 33 bus in second scenario have power losses 1665,8 kW,