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Distributed new energy distribution network structure optimization method based on X structure steiner minimum tree
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DOI：10.1515/ijeeps-2025-0153.png)
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Abstract
En 中文
The optimization of distribution network structure is a key technology for improving energy utilization efficiency and ensuring power supply reliability, especially in scenarios with large-scale integration of distributed renewable energy. Traditional distribution networks face challenges such as insufficient adaptability and high losses. In response to the large-scale and complex nature of distributed renewable energy distribution networks, this paper proposes a method for optimizing distribution network structure based on the X-structure Steiner minimum tree. This method obtains an optimal structural routing tree by introducing Steiner points, thereby shortening the total line length as much as possible, reducing load losses, and improving power supply quality. With the objective of minimizing total load loss and under constraints including line current and voltage limits, the X-structure Steiner minimum tree algorithm is used to introduce Steiner points into the distribution network, thereby achieving X-structure routing for the distribution network. The particle swarm optimization (PSO) algorithm is employed to solve for the optimal X-structure routing tree and realize distribution network structure optimization. The results show that after optimization using this method, the length of power supply paths in the distribution network is significantly shortened, and load losses at various load points are substantially reduced, effectively ensuring the power supply quality of distributed renewable energy distribution networks.
Keywords:
x-structure
Steiner minimum tree
distributed renewable energy
distribution network
structure optimization
particle swarm optimization
Journal
IF:
0.7
Papers:
77
Citations:
522