Abstract: To effectively solve the problem of optimal reconstruction of distributed generation integrated into distribution networks and achieve the goal of reducing system network losses, an optimal reconstruction model for distribution networks with distributed generation is constructed with the objective of minimizing active power loss, and this model is solved using an improved hippo optimizer algorithm. In order to prevent the algorithm from falling into the local optimum, the Gaussian mapping and the improved Lévy flight strategy were introduced to improve the hippo optimization algorithm, and the IEEE 33-node system simulation calculation was used to test the solution efficiency of the distribution network reconstruction model with distributed generators. By comparing the results of the grey wolf optimization algorithm and the particle swarm optimization algorithm, the improved hippo optimization algorithm obtains the optimal solution with the minimum number of iterations, which can effectively increase the node voltage and significantly reduce the network loss.

    Key words: distribution network reconstruction; distributed generation; Gaussian mapping; improved Lévy flight strategy; improved hippo optimization algorithm; node voltage; grey wolf optimization algorithm; particle swarm optimization algorithm