日韩精品久久久久久久的张开腿让I日韩精品不卡I男女猛烈无遮挡一进一出视频I婷婷玖玖I亚洲欧美wwwI色婷婷综合久久久久I亚洲成人午夜精品I国产高清不卡视频I综合热久久I亚洲一区二区三区四区I毛片基地视频I天天操夜夜摸I欧美激情网站I欧美亚洲啪啪I亚洲国产成人精品女人I91黄色在线视频I青青草91视频I天天躁日日躁aaaaxxxxI法国做爰xxxⅹ性视频I亚洲天堂资源I色女孩综合网I国产欧美精品一区二区三区I蜜桃色在线I色综合久久88色综合天天I在线看91

    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