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Robust Nonlinear Feedback Linearizing Control for Power Systems to Enhance Transient Stability

机译:电力系统的鲁棒非线性反馈线性化控制,以提高瞬态稳定性

摘要

Stability is an important issue for the secure operation of power systems as an unsecured system faces a lot of unusual operating conditions and due to these unusual operating conditions, power systems can undergo blackouts which cause ahuge losses. In addition, the demand on power systems is increasing consistentlyfor which the recent trend is to operate the system near to the extreme conditions.The changing characteristics of power systems continue to provide new challengesto the system designers and operators. To mitigate the constraints related to powersystem stability, the design and implementation of high-performance controllers arecrucial which is the key focus of this dissertation.The first contribution of this work is to design a nonlinear excitation controller toenhance transient stability. To clearly identify the necessity of new controllers, analyseshave been performed to determine the limitations of existing linear controllers.In this thesis, the feedback linearization technique which transforms a nonlinear systeminto a fully (exactly) or partially linear system based on the selection of outputfunction, is proposed. The proposed feedback linearizing is mainly based on thepartial feedback linearization technique which transforms the power system into apartially linearized system and is novel in power system applications. The proposedcontrol scheme offers several benefits as compared to the feedback linearization thattransforms a power system into a fully linear one.To implement a control algorithm in an accurate and effective manner, it is essentialto express the control law in terms of all measured variables. The control lawobtained through feedback linearization is in terms of the states of the power systemand some assumptions must be satisfied to express the state variables in terms ofmeasured variables. To validate the accuracy of these assumptions, it is essentialto design an effective observer which is capable to estimate the states of power systems under different changing conditions. The second and other unique contributionof this dissertation is to design a novel nonlinear state observer for power systemsbased on the feedback linearization technique and the observed states are used asthe feedback variables for feedback linearizing controllers. In this contribution, boththe full and partial feedback linearization are considered to provide a deep insightregarding the proposed scheme. The comparisons between the performances of the controller with observed states and measured variables feedbacks are presented witha view to look at the suitability of the assumptions.The other significant contribution of this research is to design a robust nonlinearcontroller for power systems to improve the performance by considering the mismatchbetween the original system model and the considered mathematical model.This part of the dissertation considers the uncertainty within the power systemmodel where the uncertainties are bounded in such a way that the proposed controllercan guarantee the stability and enhance the performance for all possibleperturbations within the given upper bounds on the modeling error of nonlinearpower systems. The effectiveness of the proposed controller is tested on small andlarge power systems.The current trend is the inclusion of renewable energy sources into the distributionnetwork to get some technical and economical benefits from the existingsystems. Since the integration of photovoltaic systems is increasing, this dissertationproposes the design of a novel controller based on partial feedback linearizationto ensure the dynamic stability under changing conditions of the system.The final contribution of this dissertation is to develop the relationship betweenthe amount of generation that can be integrated into the distribution networks andthe voltage variation which is a prominent issue for distribution networks. To developthis relationship, the worst-case scenario of the distribution network is consideredand based on the formulation, some effective solutions have been recommended.Finally, a partial feedback linearizing controller is designed for a distributed staticcompensator (DSTATCOM) to maintain the voltage stability through reactive powercompensation.
机译:对于不安全的系统而言,稳定性是电力系统安全运行的重要问题,因为不安全的系统要面对许多不正常的工作条件,并且由于这些不正常的工作条件,电力系统可能会遭受停电,从而造成巨大的损失。此外,对电力系统的需求持续增长,最近的趋势是在接近极端条件的情况下运行系统。电力系统不断变化的特性继续给系统设计人员和操作人员带来新的挑战。为了减轻与电力系统稳定性相关的约束,高性能控制器的设计和实现是至关重要的,这是本文的重点。本文的主要工作是设计一种非线性励磁控制器,以增强系统的暂态稳定性。为了清楚地确定新控制器的必要性,进行了分析以确定现有线性控制器的局限性。本文采用反馈线性化技术,根据输出函数的选择将非线性系统转换为完全(精确)或部分线性的系统,被提议。提出的反馈线性化主要基于部分反馈线性化技术,该技术将电力系统转换为局部线性化系统,并且在电力系统应用中是新颖的。与将电力系统转换为完全线性的反馈线性化相比,所提出的控制方案具有许多优点。为了准确有效地实现控制算法,必须根据所有测量变量来表达控制律。通过反馈线性化获得的控制定律是根据电力系统的状态来进行的,必须满足一些假设才能根据测量变量来表达状态变量。为了验证这些假设的准确性,必须设计一个有效的观测器,该观测器能够估计不同变化条件下电力系统的状态。本论文的第二个及其他独特的贡献是基于反馈线性化技术设计了一种用于电力系统的新型非线性状态观测器,并将观测到的状态用作反馈线性化控制器的反馈变量。在此贡献中,全部和部分反馈线性化都被认为可以为所提出的方案提供深刻的见解。为了观察假设的适用性,提出了具有观测状态和测量变量反馈的控制器性能之间的比较。这项研究的另一个重要贡献是,通过考虑以下因素,为电力系统设计了一种鲁棒的非线性控制器,以改善其性能。论文的这一部分考虑了电力系统模型中的不确定性,其中不确定性受到限制,使得所提出的控制器可以保证稳定性,并提高给定条件下所有可能扰动的性能。非线性电力系统建模误差的上限。所提出的控制器的有效性已在小型和大型电力系统上进行了测试。当前趋势是将可再生能源纳入配电网络,以从现有系统中获得一些技术和经济利益。由于光伏系统的集成度在不断提高,因此本文提出了一种基于局部反馈线性化的新型控制器的设计,以确保系统在变化的条件下的动态稳定性。本论文的最终贡献是建立了可再生能源发电量之间的关系。集成到配电网中,电压变化是配电网的突出问题。为了发展这种关系,考虑了配电网的最坏情况,并根据公式提出了一些有效的解决方案。最后,为分布式静态补偿器(DSTATCOM)设计了部分反馈线性化控制器,以通过无功保持电压稳定性。功率补偿。

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