Optimizing the generator start-up sequence after a power system blackout

Shen, Cong; Kaufmann, Paul; Braun, Martin

doi:10.1109/pesgm.2014.6938799

Cited by 14 publications

(10 citation statements)

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“…En la fase de reconfiguración de la red eléctrica, la capacidad de generación obtenida después del arranque en negro de las unidades es utilizada para restablecer otras unidades importantes en el sistema y subestaciones en una secuencia razonable. Asimismo, se debe establecer una red troncal estable y los cimientos para el restablecimiento completo de la demanda [19]. Debido a estas características complejas la reconfiguración de la red necesita ser llevada a cabo bajo la guía de una estrategia de restablecimiento.…”

Section: Metodologías De Restablecimiento Con Fuentes Convencionales unclassified

Revisión de metodologías de arranque óptimo de generación para el restablecimiento de sistemas de potencia considerando fuentes de energía convencionales y renovables no convencionales

Pardo

López-Lezama

2020

Rev. ing. univ. Medellín

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Después de un apagón a gran escala, el restablecimiento del sistema eléctrico de potencia (SEP) debe realizarse rápidamente. Para ello, se debe restablecer el parque de generación, el sistema de transmisión y finalmente, la demanda desatendida. Para obtener un proceso acelerado de restablecimiento es necesario establecer metodologías de arranque de unidades de generación, que pongan en marcha, primero, las unidades con arranque en negro y, después, se les lleve potencia de arranque a otras unidades de generación sin esta característica, mediante una ruta de transmisión factible. En este artículo se presenta una revisión de diferentes metodologías de arranque óptimo de generadores para el restablecimiento del SEP, reportadas en la literatura científica teniendo en cuenta la integración de fuentes de energía renovables no convencionales. Dentro de esta revisión se destaca que los métodos heurísticos, aunque son efectivos, no se utilizan en la operación de tiempo real por su alto costo computacional.

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Section: Metodologías De Restablecimiento Con Fuentes Convencionales unclassified

Revisión de metodologías de arranque óptimo de generación para el restablecimiento de sistemas de potencia considerando fuentes de energía convencionales y renovables no convencionales

Pardo

López-Lezama

2020

Rev. ing. univ. Medellín

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“…This, and other electrical properties such as over-voltage problems caused by self-excitation and energizing unload transmission lines, frequency control during the load restoration, and cold load pick up inrush have to be either validated before starting or checked during the optimization procedure. In our previous work we have already presented handling these requirements in an optimization algorithm [10,9]. Therefore, we will skip this, as the focus of the current work is to find good performing encodings, operators and optimization algorithms for generator start-up sequence optimization.…”

Section: Temporal Nbs Unit Boot Sequence Modelmentioning

confidence: 99%

Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated Annealing

Kaufmann

Shen

2015

Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation

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In the domain of power grid systems, scheduling tasks are widespread. Typically, linear programming (LP) techniques are used to solve these tasks. For cases with high complexity, linear system modeling is often cumbersome. There, other modeling approaches allow for a more compact representation being typically also more accurate as non-linear dependencies can be captured natively.In this work, we focus on the optimization of a power plant start-up sequence, which is part of the network restoration process of a power system after a blackout. Most large power plants cannot start on their own without cranking energy from the outside grid. These are the non-black start (NBS) units. As after a blackout we assume all power plants being shut down, self-contained power plants (black start (BS) units), such as the hydroelectric power plants, start first and boot the NBS units one after each other. Once a NBS unit is restored, it supports the restoration process and because an average NBS unit is much larger than a BS unit, NBS unit's impact on the restoration process is typically dominant. The overall restoration process can take, depending on the size of the blackout region and the damaged components, some hours to weeks. And as the blackout time corresponds directly to economic and life losses, its reduction, even by some minutes, is worthwhile.In this work we compare two popular metaheuristics, the genetic (GA) and simulated annealing (SA) algorithms on start-up sequence optimization and conclude that an efficient restoration plan can be evolved reliably and, depending on the implementation, in a very short period of time allowing for an integration into a real-time transmission system operation tool.

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“…Artificial intelligence techniques have been successfully applied for designing, planning, sizing, optimizing and forecasting the renewable energy sources [3][4][5], for neural networks based forecasting of energy production and consumption [6], and fuzzy systems for control strategies [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on Controllers for Improving Transient Stability of DFIG Wind Turbines During Large Disturbances

et al. 2018

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Abstract:Under power system short-circuits, the Doubly-Fed Induction Generator (DFIG) Wind Turbines (WT) are required to be equipped with crowbar protections to preserve the lifetime of power electronics devices. When the crowbar is switched on, the rotor windings are short-circuited. In this case, the DFIG behaves like a squirrel-cage induction generator (SCIG) and can adsorb reactive power, which can affect the power system. A DFIG based-fault-ride through (FRT) scheme with crowbar, rotor-side and grid-side converters has recently been proposed for improving the transient stability: in particular, a hybrid cascade Fuzzy-PI-based controlling technique has been demonstrated to be able to control the Insulated Gate Bipolar Transistor (IGBT) based frequency converter in order to enhance the transient stability. The performance of this hybrid control scheme is analyzed here and compared to other techniques, under a three-phase fault condition on a single machine connected to the grid. In particular, the transient operation of the system is investigated by comparing the performance of the hybrid system with conventional proportional-integral and fuzzy logic controller, respectively. The system validation is carried out in Simulink, confirming the effectiveness of the coordinated advanced fuzzy logic control.

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Optimizing the generator start-up sequence after a power system blackout

Cited by 14 publications

References 10 publications

Revisión de metodologías de arranque óptimo de generación para el restablecimiento de sistemas de potencia considerando fuentes de energía convencionales y renovables no convencionales

Revisión de metodologías de arranque óptimo de generación para el restablecimiento de sistemas de potencia considerando fuentes de energía convencionales y renovables no convencionales

Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated Annealing

A Comparative Study on Controllers for Improving Transient Stability of DFIG Wind Turbines During Large Disturbances

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