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电力电子变压器在交直流系统中的应用

Application of power electronic transformer in AC/DC system
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摘要 为了增加能源利用率,降低成本和损耗,通过建立基于电力电子变压器的稳态模型,实现对交直流混合电网的协同调控。建立电网可靠性约束等条件下的成本和功率损耗的最小化模型,求解一个包含整数变量的多目标问题。在改变电网拓扑结构的前提下,通过加入电力电子变压器实现对电网的协同优化,对于改变结构的电网静态模型,采用基于精英策略的非支配性排序遗传算法求解出60组包含微电网中运行成本和功率损耗的优化调度的帕埃托解集。在与电力电子变压器和逆变器两种对比方法中,分别采用熵权法结合理想度排序法获得折中最优解,以安徽某地区农村实际微电网建立仿真模型进行验证。通过对仿真结果分析,与传统逆变器相比,利用电力电子变压器的协同调控能够减少微电网运行成本和损耗。 In order to improve the energy utilization and reduce the costs and losses,a steady⁃state model based on power electronic transformers(PETs)is established to achieve coordinated regulation of AC/DC hybrid power grids.A cost and power loss minimization model under conditions of power grid reliability constraints is established to solve a multi⁃objective problem containing integer variables.On the premise of changing the grid topology,the cooperative optimization of the power grid is realized by adding PETs.As for the static model of the grid with the changed structure,the non⁃dominant ranking genetic algorithm based on elite strategy is adopted to solve 60 sets of Pareto solution sets including the optimal dispatching of microgrid operating costs and power losses.In comparison with the two methods of PETs and inverters,the entropy weight method combined with the ideality ranking method is used to obtain the compromise optimal solution.A simulation model is established and verified by an actual rural microgrid in a certain area of Anhui.By the analysis of the simulation results,the coordinated regulation of the PET can reduce the operating costs and losses of the microgrid in comparison with the traditional inverter.
作者 冷建伟 李金祥 高爽 侯奕辰 LENG Jianwei;LI Jinxiang;GAO Shuang;HOU Yichen(School of Electrical and Electronic Engineering,Tianjin University of Technology,Tianjin 300384,China;School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China)
出处 《现代电子技术》 2022年第9期147-151,共5页 Modern Electronics Technique
基金 国家重点研发计划资助项目(2016YFB0900400)。
关键词 电力电子变压器 交直流混合电网 稳态模型 帕埃托解集 折中最优解 协同调控 PET AC/DC hybrid power grid steady⁃state model Pareto solution set compromise optimal solution coordinated regulation
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