Heuristic control of nonlinear power systems: Application to the infinite bus problem

IF 1.2 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
Musabbir Hossain, A. Khurshudyan
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引用次数: 2

Abstract

In this paper, we apply the heuristic method for determination of control functions for controllability analysis of nonlinear power systems. The problem of control of quasi-linear systems under proper assumptions on the nonlinear term is considered in the general statement. Making use of the Green’s function solution of nonlinear systems, the exact and approximate controllability conditions are expressed in terms of unknown controls in an explicit form. The way of resolving controls determination is discussed. As a particular application, a one-machine infinite-bus system is considered described by a coupled system of three first order ordinary differential equations. Two heuristic forms of admissible controls are considered providing approximate controllability within the same amount of time having different intensities. Results of numerical simulations are presented and discussed.
非线性电力系统的启发式控制:在无穷母线问题中的应用
本文将启发式方法应用于非线性电力系统可控性分析中控制函数的确定。在一般表述中,考虑了在适当的非线性项假设下拟线性系统的控制问题。利用非线性系统的格林函数解,将精确和近似可控条件用未知控制的显式形式表示出来。讨论了控制项确定的解决方法。作为一个特殊的应用,考虑用三个一阶常微分方程的耦合系统来描述一台无限母线系统。可接受控制的两种启发式形式被认为在具有不同强度的相同时间内提供近似可控性。给出了数值模拟结果并进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Archives of Control Sciences
Archives of Control Sciences Mathematics-Modeling and Simulation
CiteScore
2.40
自引率
33.30%
发文量
0
审稿时长
14 weeks
期刊介绍: Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.
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