On-line dynamic preventive control: an algorithm for transient security dispatch

Scala, Massimo La; Trovato, M.; Antonelli, C.

doi:10.1109/59.667388

Cited by 152 publications

(80 citation statements)

References 18 publications

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“…In this investigation, the development of optimal load shedding with dynamic constraints is being further enhanced through the use of an optimal load shedding time to further the corrective control of power systems and facilitate islanded operation. This contribution presents a sig-nificant enhancement to the optimization technique developed in [14]. The new procedure yields the optimal load shedding time as well as the load shedding amount.…”

Section: Notationsmentioning

confidence: 99%

Time Optimal Load Shedding for Distributed Power Systems

Aponte

Nelson

2006

IEEE Trans. Power Syst.

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Abstract-The formulation and computation of an optimal load shedding time algorithm is presented. This new concept was developed as an enhancement to the application of optimal load shedding for corrective control to support islanded power systems. The methodology combines nonlinear mathematical programming and discretized differential-algebraic power systems equations to estimate the optimal amount of load to be shed as well as the best time to shed it. Several simulated scenarios are studied and results presented.

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Section: Notationsmentioning

confidence: 99%

Time Optimal Load Shedding for Distributed Power Systems

Aponte

Nelson

2006

IEEE Trans. Power Syst.

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“…Base case generation and inertias of machines are given in the Appendix. (25)(26): Constant Real Power Loads: In this case, a three-phase fault is considered at bus 25 and cleared by tripping line 25-26 at s which is greater than the critical clearing time (0.142 s). The unstable trajectory of rotor angles is shown in Fig.…”

Section: B 16-machine 68-bus Power Systemmentioning

confidence: 99%

“…In other approaches [26], [27], stability constraints are included as a part of an optimal power-flow problem by converting the differential equations into numerically equivalent algebraic constraints. In these approaches, generation rescheduling is performed for simple power system models employing classical model for generators and constant impedance type models for loads.…”

Section: Introductionmentioning

confidence: 99%

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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“…As the corresponding programming model has a very large dimension and requires heavy computation, most of the effort in this field have been centred on reducing the scale of the problem and improving computation efficiency. Some studies apply iterative algorithms, running the dynamic simulation of a fault and correcting the generation dispatch at each iteration [4][5][6][7][8]. In some cases, time-domain simulations are run on commercial software such as power system simulator for engineering (PSSE) [9,10].…”

Section: Introductionmentioning

confidence: 99%

Multi‐contingency TSCOPF based on full‐system simulation

Ledesma

Calle²,

Castronuovo

et al. 2017

IET Generation, Transmission & Distribution

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Transient stability constrained optimal power flow (TSCOPF) is a non-linear optimisation problem used to perform economic dispatches while ensuring TS. This study proposes a multi-contingency TSCOPF model that retains the dynamics of all generators and includes a transient synchronous generator fourth-order dq-axis model. A program is developed that automatically reads the system data from standard files, builds the multiple-contingency TSCOPF model on a high-level modelling system and solves it using a non-heuristic interior point algorithm. This approach facilitates the application of the model to a variety of systems and scenarios. A TSC based on the speed deviation instead of the rotor angle is proposed. Results obtained on several standard systems are shown. The proposed method is applied to the northwest Spanish transmission system to obtain an optimised dispatch that ensures TS after any of a number of faults, and to assess the economic impact of fault-clearing times at different substations. Nomenclature

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On-line dynamic preventive control: an algorithm for transient security dispatch

Cited by 152 publications

References 18 publications

Time Optimal Load Shedding for Distributed Power Systems

Time Optimal Load Shedding for Distributed Power Systems

Stability-Constrained Generation Rescheduling Using Energy Margin Sensitivities

Multi‐contingency TSCOPF based on full‐system simulation

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