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This paper presents a novel methodology for reducing the cost of energy technical losses in monopolar DC distribution networks, considering a two-stage approach involving optimal system reconfiguration and optimal location and sizing of wind and solar distributed generators (DGs). To address the problem, a master-slave strategy is proposed, where a tabu search algorithm (TSA) is used in the master stage and an optimal power flow in the slave stage. To evaluate the behavior of the proposed methodology, four cases of study are presented. Results demonstrate that the two-stage approach (case 4) achieves an 83.11% reduction of the energy technical losses when compared to the case base (case 1) and surpasses the obtained results by applying each strategy independently (cases 2 and 3). This methodology offers an effective tool for the planning and efficient operation of distribution systems, contributing to reduced operational costs and enhanced network flexibility and reliability.

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Coordinated Solution of Feeder Reconfiguration and Penetration of DGs to Reduce Energy Technical Losses in DC Monopolar Distribution Networks

  • 会议论文

  • 发表日期：

    2026年

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  • G. A. Velásquez-Parra,
  • R. A. Hincapié-Isaza

摘要

This paper presents a novel methodology for reducing the cost of energy technical losses in monopolar DC distribution networks, considering a two-stage approach involving optimal system reconfiguration and optimal location and sizing of wind and solar distributed generators (DGs). To address the problem, a master-slave strategy is proposed, where a tabu search algorithm (TSA) is used in the master stage and an optimal power flow in the slave stage. To evaluate the behavior of the proposed methodology, four cases of study are presented. Results demonstrate that the two-stage approach (case 4) achieves an 83.11% reduction of the energy technical losses when compared to the case base (case 1) and surpasses the obtained results by applying each strategy independently (cases 2 and 3). This methodology offers an effective tool for the planning and efficient operation of distribution systems, contributing to reduced operational costs and enhanced network flexibility and reliability.