Dynamic security-constrained rescheduling of power systems using trajectory sensitivities

Nguyen, Trong Bao; Pai, M.A.

doi:10.1109/tpwrs.2003.811002

Cited by 228 publications

(177 citation statements)

References 13 publications

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“…This results in a new value for the EM, given by (7) where represent the change in the energy at the fault clearing point and represents the change in the critical energy due to generation changes.…”

Section: A Structure Preserving Em Sensitivitymentioning

confidence: 99%

“…These methods include time-domain solutions [1], energy function methods [2]- [4], pattern recognition techniques [5], neural network [6], and trajectory sensitivity analysis [7]. The energy function method has been of interest for dynamic security assessment, since it can provide a quantitative measure of the degree of system stability based on an EM [8]- [10], which can be analyzed as a function of relevant system parameters using sensitivity analysis.…”

Section: Introductionmentioning

confidence: 99%

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Stability-Constrained Generation Rescheduling Using Energy Margin Sensitivities

Shubhanga

Kulkarni

2004

IEEE Trans. Power Syst.

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Abstract-In this paper, a structure preserving energy margin (EM) sensitivity-based analysis is presented to determine the amount of preventive generation rescheduling to stabilize a transiently unstable power system. An expression using a simplified model is derived to relate the change in the EM to change in generation. Utilising this expression, two approaches for generation rescheduling are developed which are applicable to detailed model of power systems. The proposed methods are applied to the 10-machine New England power system and 16-machine power system with detailed power system models.

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Section: A Structure Preserving Em Sensitivitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stability-Constrained Generation Rescheduling Using Energy Margin Sensitivities

Shubhanga

Kulkarni

2004

IEEE Trans. Power Syst.

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“…Transient stability enhancement through generation rescheduling can be found in [7][8][9][10][11][12][13][14]. In [7], a hybrid approach is proposed for on-line security evaluation and generator rescheduling as preventive control.…”

Section: Introductionmentioning

confidence: 99%

“…Artificial neural network (ANN) based real-time preventive control was proposed in [9] for transient stability enhancement. A trajectory sensitivity based generator rescheduling as preventive control considering the dynamic security constraint has been proposed in [10]. In [11], Optimal Power Flow (OPF) based active power generation shifting as real-time preventive control for improving the transient stability is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…Pattern discovery based preventive control is suggested in [14] to improve the dynamic security of the system. However, it is not possible to prevent power system from collapse for the entire contingency set for all the operating conditions using only the preventive control actions [10]. Moreover, despite best efforts, some unforeseen fault may occur, leading to the loss of synchronism with consequent system collapse.…”

Section: Introductionmentioning

confidence: 99%

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Preventive and Emergency Control of Power System for Transient Stability Enhancement

Siddiqui¹,

Verma²,

Niazi³

et al. 2015

Journal of Electrical Engineering and Technology

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-This paper presents preventive and emergency control measures for on line transient stability (security) enhancement. For insecure operating state, generation rescheduling based on a real power generation shift factor (RPGSF) is proposed as a preventive control measure to bring the system back to secure operating state. For emergency operating state, two emergency control strategies namely generator shedding and load shedding have been developed. The proposed emergency control strategies are based on voltage magnitudes and rotor trajectories data available through Phasor Measurement Units (PMUs) installed in the systems. The effectiveness of the proposed approach has been investigated on IEEE-39 bus test system under different contingency and fault conditions and application results are presented.

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A multiobjective optimization‐based calculation framework of maximum wind power penetration limit considering system transient stability

Wang

Qiu

2020

Int Trans Electr Energ Syst

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This paper elaborates a novel optimum programming-based algorithm that embeds the stochastic multiobjective particle swarm optimization (PSO) method and the deterministic interior point method to calculate the maximum wind power penetration level. With the optimization target of promoting the wind generation capacity, the three-stage optimization strategy is established to contemplate the transient stability constraint (TSC) as well as the uncertainty factors in the high wind penetrated system. To address the uncertainty factors in system, the chance-constrained optimization approach is practiced to figure out the initial optimal operating point in the first stage. On the ground of which, the TSC is reinforced in the second stage to delineate the dynamic feasible region. Among the obtained security domain, the ultimate operation solution is calculated in the last stage and provides operators with specific operating scheme. The framework is capable of supporting alternative optimal methods and can be extended to more complex system modeling. The feasibility of the algorithm framework has been demonstrated by simulations on two benchmark systems. And it has prosperous application prospects for optimization problems that need to consider system dynamic security and uncertainty simultaneously.

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Dynamic security-constrained rescheduling of power systems using trajectory sensitivities

Cited by 228 publications

References 13 publications

Stability-Constrained Generation Rescheduling Using Energy Margin Sensitivities

Stability-Constrained Generation Rescheduling Using Energy Margin Sensitivities

Preventive and Emergency Control of Power System for Transient Stability Enhancement

A multiobjective optimization‐based calculation framework of maximum wind power penetration limit considering system transient stability

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