北京大学计算机科学可视化,Institute of Software

北京信息科技大学软件学院(ISPKU)拥有超过60年的历史,目前有37名教员,涵盖计算机科学理论、操作系统、图形与交互等多个研究领域。该学院参与国家级科研项目,与国际组织紧密合作,培养了众多全球顶尖高校的研究人才。

The Institute of Software (ISPKU) focuses on the fundamental theory and technology of software and its engineering, including a wide-range of research areas such as theoretical computer science, software engineering, operating systems, computer graphics and information security. With a history of more than 60 years, ISPKU has grown to over 35 faculty members and more 200 graduate students. Specifically, ISPKU has 37 faculty members, including 12 full professors, 22 associate professors, 1 assistant professor, and 2 lecturers. Among them are 1 CAS Members, 1 Qian Ren Professor, 1 Chang Jiang Scholar, 1 winner of State Major Research Plan Funds for Basic Research, and 4 winners of NSFC Fund for Distinguished Young Scholars. Currently, 8 of the 37 faculty members are in the new tenure-track system. ISPKU has launched many research projects supported by national science and technology research funds, including the first software project in National Basic Research Program. Meanwhile, ISPKU has built collaborative relationships with many international organizations, universities, and companies. Many ISPKU alumni have become faculty members or researchers in prestigious universities and research labs around the world.

Main Research Areas:

(1)Software Engineering Environment Lab

(2) Operating Systems and Middleware Lab

(3) Knowledge and Requirement Engineering Lab

(4) Theoretical Computer Science Lab

(5) Information Security Lab

(6) Graphics and Interaction Technology Lab

跟网型逆变器小干扰稳定性分析与控制策略优化研究(Simulink仿真实现)内容概要:本文围绕跟网型逆变器的小干扰稳定性展开分析,重点研究其在电力系统中的动态响应特性及控制策略优化问题。通过构建基于Simulink的仿真模型,对逆变器在不同工况下的小信号稳定性进行建模与分析,识别系统可能存在的振荡风险,并提出相应的控制优化方法以提升系统稳定性和动态性能。研究内容涵盖数学建模、稳定性判据分析、控制器设计与参数优化,并结合仿真验证所提策略的有效性,为新能源并网系统的稳定运行提供理论支持和技术参考。; 适合人群:具备电力电子、自动控制或电力系统相关背景,熟悉Matlab/Simulink仿真工具,从事新能源并网、微电网或电力系统稳定性研究的研究生、科研人员及工程技术人员。; 使用场景及目标:① 分析跟网型逆变器在弱电网条件下的小干扰稳定性问题;② 设计并优化逆变器外环与内环控制器以提升系统阻尼特性;③ 利用Simulink搭建仿真模型验证理论分析与控制策略的有效性;④ 支持科研论文撰写、课题研究或工程项目中的稳定性评估与改进。; 阅读建议:建议读者结合文中提供的Simulink仿真模型,深入理解状态空间建模、特征值分析及控制器设计过程,重点关注控制参数变化对系统极点分布的影响,并通过动手仿真加深对小干扰稳定性机理的认识。
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