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In this paper the problem of fault isolation in non linear systems is considered. Faults are formulated as parameter changes and a novel definition of fault detent ability is introduced. This connects a fault with its effect on the output of the system under consideration. Based on this definition, a practical way to test the fault detectability is introduced. In this context, a general result about...
This paper studies fault detection problem of linear continuous-time periodic systems. At first, an optimal periodic observer-based residual generator is derived for the case of no model uncertainty, which achieves the best compromise between the sensitivity to faults and the robustness to unknown disturbances. Then, in order to deal with model uncertainty, a post-filter is introduced which provides...
In this paper, problems related to the design of fault detection filters (FDF) for dynamic systems with unknown inputs are studied. Core of our study is to consider the design problems under two different residual evaluation functions, the i?2-norm and the peak amplitude of the residual signals. The background of this study is the fault detection strategy of using multi-residual evaluation functions,...
A robust nonlinear state feedback control achieving transient stabilization is designed on the basis of the standard third order model of a synchronous generator connected to an infinite bus. Sudden mechanical power failures, short circuits, infinite bus perturbations may drive the generator out of step. The proposed robust nonlinear excitation control prevents the machine from going out of step in...
We present a novel class of divergences induced by a smooth convex function called total Jensen divergences that are invariant by construction to rotations, a feature inducing a conformal factor on ordinary Jensen divergences. We analyze the relationships between this novel class of total Jensen divergences and the total Bregman divergences. We then define total Jensen centroids, analyze their robustness,...
The robust transient stability problem of a synchronous generator in an uncertain power network with transfer conductances is addressed. A robust adaptive nonlinear feedback control algorithm is designed on the basis of a third order model of the synchronous machine: only two system parameters (synchronous machine damping and inertia constants) along with upper and lower bounds on the remaining uncertain...
An architecture for fault tolerant feedback controllers based on the Youla parameterization is suggested. It is shown that the Youla parameterization will give a residual vector directly in connection with the fault diagnosis part of the fault tolerant feedback controller. It turns out that there is a separation between the feedback controller and the fault tolerant part. The closed loop feedback...
The power system is a dynamic system and it is constantly being subjected to disturbances. It is important that these disturbances do not drive the system to unstable conditions. Due to certain disturbances, electromechanical oscillations of small frequency set up. The kind of stability involved due to oscillations falls under small signal stability. The PSS has been found effective in damping such...
In this paper, different control strategies are presented for primary frequency regulation in a diesel-photovoltaic-supercapacitor hybrid power generation system. Firstly, a classical control approach is proposed as a reference. Then, a robust control design based on H∞ control theory is applied to the studied system. Starting from given certain desired performances, Linear Matrix Inequalities (LMI)...
As power systems become more reliant on intermittent resources, system operators are faced with the fact that the availability of intermittent resources is beyond human control and largely unpredictable. Due to the lack of compliance from intermittent resources to follow strict dispatch instructions, the dispatch instruction for an intermittent resource is proposed to be a desired dispatch range or...
This paper presents a two-layered framework for managing multi-interval economic dispatch with both transmission and ramping constraints in electric energy systems with a large penetration of variable resources. The proposed model is aimed at ensuring that there is sufficient flexibility in the dispatch to manage large net load ramp events while observing the transmission constraints in the power...
This paper deals with design and analysis of AVR using proportional-integral-derivative (PID) controller optimized by Teaching Learning Based Optimization (TLBO) algorithm The optimum gain of the controller for the proposed model is obtained with objective function as Integral Time Absolute Error (ITAE). The performance of the system is found to be better in every aspect in terms of the settling point,...
This paper presents the model and the control of the rotor current loop a double-fed induction generator based on a robust generalized predictive controller. The controller is designed to minimize the control signal and ensure the reference tracking quickly and with a minimum of overshoot. Furthermore, it is proposed a new methodology for controller tuning based on a single parameter that allows a...
Grid reconstruction after a blackout is a complex process mainly involving power system stability, grid observability and control. Now, with the introduction of embedded renewable generation and with the wide spread of Information and Communications Technologies (ICT), Transmission System Operators (TSO) are facing additional challenges during reconstruction due to uncontrolled generation, decrease...
Locally repairable codes are used in distributed storage networks to minimise the number of survived nodes required to repair a failed node. However, the robustness of these codes is a main concern since locally repair procedure may fail when there are multiple node failures. This paper proposes a new class of robust locally repairable codes which guarantees that a failed node can be repaired locally...
This study proposes a new Multi-Stage Fuzzy Stabilizer (MSFS) in order to damp low-frequency oscillations in multi-machine power systems. The proposed MSFS is tuned by Modified Honey-Bee Mating Optimization (MHBMO) method which improves the local and global exploration of the standard HBMO method by changing the queen's speed reduction coefficient with a new parameter adjustment process. The objective...
High performance excitation systems have become very important as limited generation capacity and consumer needs for power continue to increase. This work aims to develop a robust control technique based on H∞ loop-shaping optimization method, applied to a Power System Stabilizer (PSS) to improve transient and dynamic stabilities of a turbo-alternator connected to an infinite bus system. In this paper,...
This paper presents a generalization of four chaotic maps with absolute value nonlinearity. The proposed four maps are mathematically simple through the use of absolute value nonlinearity which is in a category of piecewise-linear nonlinearity. Moreover, the proposed maps exhibits robust chaos as there is an absence of periodic windows and coexisting attractors in neighborhood of parameter spaces...
A new hierarchical control methodology for the wind farm is addressed in this paper, which consists of centralized and a decentralized controller level. The designed control strategy is able to regulate the output power of the wind farm to the reference power given by the system operators. The centralized controller level, which uses the If-Then fuzzy rules, optimize the whole wind farm power production...
This paper describes a method to generate locomotion of a modular reconfigurable robot in chainlike configuration based on its topology and orientation. Combined with results from physics simulation efficient locomotion patterns, using optimized control parameters, can be applied to the robot. The resulting locomotion depends highly on the properties of the current configuration of the robot's body...
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