Augmentation of Transient Stability Limit of a Power System by Automatic Multiple Application of Dynamic Braking

Joshi, Sridhar; Tamaskar, D.G.

doi:10.1109/tpas.1985.318941

Cited by 17 publications

(4 citation statements)

References 5 publications

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“…Using the dynamic programming (DP) principle [17], it can be proven that the value function satisfies the condition (4) where and are, respectively, the reward observed and the next state reached when taking action while being in state . DP computes the value function in order to find the optimal control with a feedback control policy.…”

Section: A Theoretical Frameworkmentioning

confidence: 99%

“…Recently, the potential of using RB to damp power swings have been investigated [15] and the use of multiple switching operations of the RB for a transient stability emergency control have been reported in [16]. The advantage of automatic control strategies capable to realize multiple insertions of RB has been recognized in [4] and [7] and recently confirmed as a control strategy of the choice in the real-life system implementation [16]. A need exists for RB control algorithms, which are robust, closed-loop in nature, and are more systematically designed.…”

Section: Introductionmentioning

confidence: 99%

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Design of a resistive brake controller for power system stability enhancement using reinforcement learning

Glavić

2005

IEEE Trans. Contr. Syst. Technol.

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Abstract-Computation of the closed-loop control laws, capable to realize multiple switching operations of a resistive brake (RB) aimed to enhance power system stability, is the primary topic of this brief. The problem is formulated as a multistage decision problem and use of a model-based reinforcement learning (RL) method, known as prioritized sweeping, to compute the control law is considered. To illustrate the performances of the proposed approach results obtained using the model of a synthetic four-machine power system are given. Handling measurement transmission delays is discussed and illustrated.Index Terms-Closed-loop control, multiple switching, power system stability, reinforcement learning (RL), resistive brake (RB).

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Section: A Theoretical Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of a resistive brake controller for power system stability enhancement using reinforcement learning

Glavić

2005

IEEE Trans. Contr. Syst. Technol.

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“…Tripping schemes may become difficult to implement because of the inertia reduction associated with the increase in inverted-based and distributed generation. Other control methods that have been studied in the literature to improve transient stability include high-speed excitation [6], coordinated operation of fast-valving [7], regulated series compensation [8][9][10], load shedding [11], and dynamic braking [12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Feedback Control Strategy for Transient Stability Application

Ojetola

Wold²,

Trudnowski

2022

Energies

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Power systems are subjected to a wide range of disturbances during daily operations. Severe disturbances, such as a loss of a large generator, a three-phase bolted fault on a generator bus, or a loss of a transmission line, can lead to the loss of synchronism of a generator or group of generators. The ability of a power system to maintain synchronism during the few seconds after being subjected to a severe disturbance is known as transient stability. Most of the modern methods of controlling transient stability involve special protection schemes or remedial action schemes. These special protection schemes sense predetermined system conditions and take corrective actions, such as generator tripping or generation re-dispatch, in real time to maintain transient stability. Another method is the use of a real-time feedback control system to modulate the output of an actuator in response to a signal. This paper provides a fundamental evaluation of the use of feedback control strategies to improve transient stability in a power system. An optimal feedback control strategy that modulates the real power injected and absorbed by distributed energy-storage devices is proposed. Its performance is evaluated on a four-machine power system and on a 34-machine reduced-order model of the Western North American Power System. The result shows that the feedback control strategy can increase the critical fault clearing time by 60%, thereby improving the transient stability of the power system.

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“…The Braking Resistor (BR) can be viewed as a fast load injection to absorb excess transient energy of an area which arises due to severe system disturbances. A number of studies regarding braking resistors have been described in the literature [1][2][3][4][5]. But in all these switching strategies, fuzzy logic control schemes have not been used.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Logic Controlled Braking Resistor Scheme for Transient Stability Enhancement

et al. 2002

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A large power system is often subjected to stability problem. This paper deals with the investigations regarding the transient stability enhancement of the electric power system making use of a fuzzy logic controlled braking resistor scheme. Following a fault, variable rotor speed of the generator is measured and the firing-angle of the thyristor switch in the braking resistor is determined from the crispy output of the fuzzy controller.

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Augmentation of Transient Stability Limit of a Power System by Automatic Multiple Application of Dynamic Braking

Cited by 17 publications

References 5 publications

Design of a resistive brake controller for power system stability enhancement using reinforcement learning

Design of a resistive brake controller for power system stability enhancement using reinforcement learning

Feedback Control Strategy for Transient Stability Application

A Fuzzy Logic Controlled Braking Resistor Scheme for Transient Stability Enhancement

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