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<p>In recent years, research on integrating distributed generation (DG) into the power distribution network has been essential for developing an autonomous microgrid. This paper aims to develop an active distribution network (ADN) by locating DGs on weak buses with maximum loadability. The optimal number and rating of DGs placed are determined by the gradient descent algorithm with the objective to minimize real power loss and to improve the voltage profile of the ADN. Decision tree algorithm is used to predict minimum voltage bus and minimum voltage (<i>V</i><sub>min</sub>) for any source or line contingency. Path planning algorithm is used to display the optimal path under source or line contingency to the operator. The results obtained are useful to utility professionals for fast decision-making. The proposed algorithm is tested on IEEE 33 bus and IEEE 69 bus distribution networks. The results show that with the integration of 3 DGs in IEEE 33 bus radial networks, the loss reduction percentage is improved to 78.19% for radial systems and 85.19% for meshed ring-main configuration using the proposed method. For IEEE 69 bus radial distribution networks, compared to other methods the loss percentage is improved to 78.66% with the integration of 3 DGs and further improved in ring main configuration to 84.12%.</p>

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Path planning for autonomous microgrid under contingency using optimal search and decision tree

  • 期刊论文

  • 发表日期：

    2025年2月25日

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  • Viji UdayaSurian,
  • Krishnan Manickavasagam,
  • Malathi Sathish

摘要

In recent years, research on integrating distributed generation (DG) into the power distribution network has been essential for developing an autonomous microgrid. This paper aims to develop an active distribution network (ADN) by locating DGs on weak buses with maximum loadability. The optimal number and rating of DGs placed are determined by the gradient descent algorithm with the objective to minimize real power loss and to improve the voltage profile of the ADN. Decision tree algorithm is used to predict minimum voltage bus and minimum voltage (Vmin) for any source or line contingency. Path planning algorithm is used to display the optimal path under source or line contingency to the operator. The results obtained are useful to utility professionals for fast decision-making. The proposed algorithm is tested on IEEE 33 bus and IEEE 69 bus distribution networks. The results show that with the integration of 3 DGs in IEEE 33 bus radial networks, the loss reduction percentage is improved to 78.19% for radial systems and 85.19% for meshed ring-main configuration using the proposed method. For IEEE 69 bus radial distribution networks, compared to other methods the loss percentage is improved to 78.66% with the integration of 3 DGs and further improved in ring main configuration to 84.12%.