CAREER: Nonlinear Analyses and Robust Control of Interactive Power Networks

职业：交互式电力网络的非线性分析和鲁棒控制

• 批准号: 0239131
• 负责人: Sudip Mazumder
• 金额: $ 40万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-02-01 至 2009-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0239131&HistoricalAwards=false
• 关键词: CAREER; Nonlinear; Analyses; Robust; Control

Reliable interactive power networks (IPN), with applications ranging from FACTS and distributed power generation to naval ships and telecommunications, constitute one of the pillars of foundation of our socio-economic progress and security. IPN are characterized by hybrid dynamics, nonlinearities, multi-dimensionalities, and multiple time scales. Conventional approaches to modeling, analysis, and control of IPN using smooth averaged models are not always adequate and in many cases yield inaccurate results.This proposal addresses these inadequacies and has four objectives: (a) develop a theoretical underpinning of IPN to realize a unified hybrid-modeling framework (UHMF); (b) nonlinear analyses of IPN using the UHMF to predict instabilities (leading to failures) due to complex inter- and intra-network interactions, hybrid dynamics, parametric variations, and disturbance propagations; (c) develop robust hybrid controllers (beyond the realm of traditional feedback control) in an optimal and anticipatory framework to stabilize the dynamics of the IPN in the presence of destabilizing influences and identify impending and incipient failures by establishing thresholds for instabilities; and (d) develop efficient and robust algorithms to analyze the dynamics of IPN, validate the predictions of nonlinear analyses and the effectiveness of control using existing off- and on-line simulations on virtual test beds, ultimately leading to experimental verifications on a scaled prototype. On a broader note, the proposed work will promote integration of research and education, dissemination of knowledge for enhanced technical and scientific understanding, focused industry-university collaborations, cross-disciplinary growth, student and faculty involvement at local and national levels, and participation of students from under-represented and minority groups.

可靠的交互式电力网络（IPN），其应用程序从事实和发电到海军船只和电信，构成了我们社会经济进步和安全的基础。 IPN的特征是混合动力学，非线性，多维性和多个时间尺度的特征。使用平滑平均模型对IPN进行建模，分析和控制的常规方法并不总是足够的，并且在许多情况下会产生不准确的结果。该提案解决了这些问题不足，并且具有四个目标：（a）IPN的理论基础以实现统一的统一的混合模型框架（UHMF）； （b）使用UHMF对IPN进行非线性分析，以预测由于复杂的网络间和网络内和网络内相互作用，混合动力学，参数变化和干扰传播而引起的不稳定性（导致故障）； （c）在一个最佳和预期的框架中开发强大的混合控制器（超越传统反馈控制的领域），以在存在不稳定的影响的情况下稳定IPN的动态，并通过确定不稳定性的阈值来确定即将到来的即将发生的失败； （d）开发有效且鲁棒的算法来分析IPN的动力学，验证非线性分析的预测以及使用现有在虚拟测试床上的现有非线和在线模拟对控制的有效性，最终导致对扩展原型的实验验证。从广义上讲，拟议的工作将促进研究和教育的整合，知识的传播，以增强技术和科学理解，专注的行业 - 大学合作，跨学科的增长，学生和教职员工在地方和国家一级的参与以及来自代表性不足和二级群体的学生的参与。