具有通信延迟和非线性扰动的网控微电网系统稳定性分析

D. Vijeswaran, K. Ramakrishnan, V. Manikandan, T. Mohan
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引用次数: 2

摘要

本文利用Lyapunov-Krasovskii泛函方法,研究了具有定常时滞和有界非线性扰动的网络环境下微电网负荷频率控制系统的时滞相关稳定性问题。在网络化控制环境中,反馈变量从传感器到集中控制器的传递,以及控制器通过通信链路返回执行器的控制努力,在反馈路径中引入了时滞。时滞会对闭环系统的整体性能产生不利影响,导致系统不稳定。此外,在分布式发电场景下,太阳能、风能等波动发电机组的渗透所带来的时滞微网系统的不确定性,加上系统负荷的摄动,也会影响整个系统的性能。为了评估这些时变不确定性对微电网系统闭环稳定性的影响,将它们作为范数有界非线性扰动项包含在系统的数学模型中。随后,采用经典的Lyapunov-Krasovskii泛函方法结合Wirtinger不等式,以较不保守的方式解决了所述问题。分析得到线性矩阵不等式框架下的时滞相关稳定性判据。最后,在一个标准的基准系统上对所提出的稳定性准则进行了验证,并得到了大量仿真结果的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stability Analysis of Network Controlled Micro-Grid Systems with Communication Delays and Nonlinear Perturbations
In this paper, the problem of delay-dependent stability of micro-grid load frequency control systems under networked environment with time-invariant delays and bounded nonlinear perturbations has been addressed using the Lyapunov-Krasovskii functional approach. In the networked control environment, it is observed that transfer of feedback variable from the sensor to centralized controller, and the control effort from controller back to the actuator through communication links introduces time-delays in the feedback path. The time-delays adversely affect the overall performance of the closed-loop system paving way to system instability. In addition, in distributed generation scenario, the uncertainties in the time-delayed microgrid system brought about by the penetration of fluctuating power generators, viz., solar and wind power combined with perturbations in the system load also affect the performance of the overall system. To assess the impact of these time-varying uncertainties to the closed-loop stability of the micro-grid system, they are included in the mathematical model of the system as a norm-bounded nonlinear perturbation term. Subsequently, the stated problem is solved in a less conservative manner by employing the classical Lyapunov-Krasovskii functional approach combined with Wirtinger inequality. The analysis results in a delay-dependent stability criterion in linear matrix inequality (LMI) framework. In the sequel, the presented stability criterion is validated on a standard benchmark system and supported with extensive simulation results.
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