An Optimization Method for Reducing Losses in Distribution Networks Based on Tabu Search Algorithm

With the continuous growth of power demand and the diversification of power consumption structure, the loss of distribution network has gradually become the focus of attention. Given the problems of single loss reduction measure, lack of economy, and practicality in existing research, this paper proposes an optimization method of distribution network loss reduction based on tabu search algorithm and optimizes the combination and parameter configuration of loss reduction measure. The optimization model is developed with the goal of maximizing comprehensive benefits, incorporating both economic and environmental factors, and accounting for investment costs, including the loss of power reduction. Additionally, the model ensures that constraint conditions such as power flow equations, voltage deviations, and line transmission capacities are satisfied. The solution is obtained through a tabu search algorithm, which is well-suited for solving nonlinear problems with multiple constraints. Combined with the example of 10kV25 node construction, the simulation results show that the method can significantly reduce the network loss on the basis of ensuring the economy and environmental protection of the system, which provides a theoretical basis for distribution network planning.