Reliable Control of Power Systems

Soliman, Hisham M.; Ghommam, Jawhar

doi:10.1007/978-981-15-1746-4_13

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Fault-Tolerant Control (FTC) is concerned with systems whose normal operation is disrupted by a failure in actuators, sensors, or other system components. A component’s malfunctioning can be complete, referred to as a failure [ 1 , 2 , 3 ], or partial, referred to as fault [ 4 ]. This paper focuses on sensor faults.…”

Section: Introductionmentioning

confidence: 99%

Decentralized Sensor Fault-Tolerant Control of DC Microgrids Using the Attracting Ellipsoid Method

Soliman

Bayoumi

El-Sheikhi³

et al. 2023

Sensors

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System stability deterioration in microgrids commonly occurs due to unpredictable faults and equipment malfunctions. Recently, robust control techniques have been used in microgrid systems to address these difficulties. In this paper, for DC-islanded microgrids that have sensors faults, a new passive fault-tolerant control strategy is developed. The suggested approach can be used to maintain system stability in the presence of flaws, such as faulty actuators and sensors, as well as component failures. The suggested control is effective when the fault is never recognized (or when the fault is not being precisely known, and some ambiguity in the fault may be interpreted as uncertainty in the system’s dynamics following the fault). The design is built around a derived sufficient condition in the context of linear matrix inequalities (LMIs) and the attractive ellipsoid technique. The ellipsoidal stabilization idea is to bring the state trajectories into a small region including the origin (an ellipsoid with minimum volume) and the trajectories will not leave the ellipsoid for the future time. Finally, computational studies on a DC microgrid system are carried out to assess the effectiveness of the proposed fault-tolerant control approach. When compared with previous studies, the simulation results demonstrate that the proposed control technique can significantly enhance the reliability and efficiency of DC microgrid systems.

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Section: Introductionmentioning

confidence: 99%

Decentralized Sensor Fault-Tolerant Control of DC Microgrids Using the Attracting Ellipsoid Method

Soliman

Bayoumi

El-Sheikhi³

et al. 2023

Sensors

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show abstract

“…One approach is to control the synchronous generator by two controllers, such as the governor and the excitation control. Reliable stabilization is achieved when either controller fails or both are sound as given in [5]. In such an approach, the system dynamics is governed by ordinary differential equations.…”

Section: Introductionmentioning

confidence: 99%

“…which stochastically stabilizes system (5). Please note that system (5) with u k = 0 for all k = 0, 1, 2, .…”

mentioning

confidence: 99%

Regional Pole Placers of Power Systems under Random Failures/Repair Markov Jumps

El-Sheikhi¹,

Soliman

Ahshan

et al. 2021

Energies

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This paper deals with a discrete-time stochastic control model design for random failure prone and maintenance in a single machine infinite bus (SMIB) system. This model includes the practical values of failure/repair rate of transmission lines and transformers. The probability matrix is, therefore, calculated accordingly. The model considers two extreme modes of operations: the most reliable mode and the least reliable contingency case. This allows the control design which stochastically stabilizes the system under jump Markov disturbances. For adequate transient response, the proposed state feedback power system stabilizer (PSS) achieves a desired settling time and damping ratio by placing the closed-loop poles in a desired region. The control target should also be satisfied for load variations in either mode of operation. A sufficient condition is developed to achieve the control objectives via solving a set of linear matrix inequalities (LMI). Using simulation, the performance of the designed controller is tested for the system that prone to random failure/maintenance under various loading conditions. Simulation results reveal that the closed-loop poles reside within the desired region satisfying the required settling time and damping ratio under the aforementioned disturbances. The contributions of the paper are summarized as follows: (1) modeling of transition probability matrix under Markov Jumps using practical data, (2) designing a controller by compelling the closed poles into the desired region to achieve adequate dynamic performance under different load varying conditions.

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Invariant-set design of observer-based robust control for power systems under stochastic topology and parameters changes

Poznyak

Alazki

Soliman

2021

International Journal of Electrical Power & Energy Systems

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Reliable Control of Power Systems

Cited by 4 publications

References 10 publications

Decentralized Sensor Fault-Tolerant Control of DC Microgrids Using the Attracting Ellipsoid Method

Decentralized Sensor Fault-Tolerant Control of DC Microgrids Using the Attracting Ellipsoid Method

Regional Pole Placers of Power Systems under Random Failures/Repair Markov Jumps

Invariant-set design of observer-based robust control for power systems under stochastic topology and parameters changes

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