A fuzzy Analysis to connect the large-scale distant wind farm to grid in probabilistic multi objective transmission expansion planning

Hajebrahimi, Ali; Rashidinejad, Masoud; Abdollahi, Amir

doi:10.1109/iraniancee.2014.6999611

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…En cada ciclo los nuevos individuos se generan a partir de las configuraciones de los frentes no dominados (Mazidi et al, 2013). Este algoritmo ha mostrado ser efectivo en diferenes aplicaciones en ingeniería como se evidencia en (Bahri et al, 2014) y (Hajebrahimi et al, 2014). Por otro lado, los Algoritmos Meméticos que combinan los algoritmos genéticos con operadores de búsqueda local también han mostrado ser efectivos en aplicaciones multiobjetivo (Sun et al, 2014).…”

Section: Introductionunclassified

Asignación Óptima de Presupuesto para Mejoramiento de la Calidad del Servicio en Sistemas de Distribución usando Algoritmo Genético No-Dominado II (NSGA-II) y un Algoritmo Memético

Rojas-Ríos¹,

López-Lezama²,

Muñóz-Galeano

2016

Inf. tecnol.

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ResumenSe presenta un modelo de asignación óptima de presupuesto para mejoramiento de calidad del servicio en sistemas de distribución. El modelo consiste en un problema multiobjetivo que busca al mismo tiempo minimizar el costo de mantenimiento en sistemas de distribución y maximizar la reducción de la tasa de fallas. Este último objetivo se evalúa a través del indicador SAIFI (Frecuencia Media de Interrupción del Sistema). Para resolver el modelo propuesto se implementaron dos algoritmos poblacionales: Algoritmo Genético No-Dominado II (NSGA-II) y un Algoritmo Memético. Se realizan pruebas con dos sistemas eléctricos reales del Departamento de Antioquia en Colombia de 100 y 200 nodos, mostrando la aplicabilidad del modelo propuesto. Los frentes de Pareto óptimos obtenidos en la solución del problema muestran un set de posibles soluciones que representan un compromiso entre ambos objetivos y le dan al operador de red un estimado de cuánto debe invertir en mantenimiento para lograr un valor deseado del indicador SAIFI. Palabras AbstractThis paper presents an optimal budget assignment model for improving quality service in distribution systems. The model consists on a multi objective problem which aims at minimizing maintenance costs in distribution systems while maximizing the reduction of faults rate. This last objective is measured through the SAIFI indicator (System Average Interruption Frequency Index). To solve the proposed model two algorithms were implemented: NSGAII (Non-Dominated Sorting Genetic Algorithm II) and a Memetic Algorithm. Several tests were performed with two real electrical systems of 100 and 200 nodes in the Department of Antioquia in Colombia, showing the applicability of the proposed approach. The optimal Pareto fronts obtained in the problem solution show a set of available options that represent a trade-off between both objectives and provides the system operator with an estimate of how much to invest in maintenance to achieve a desired value of the SAIFI indicator.

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Section: Introductionunclassified

Asignación Óptima de Presupuesto para Mejoramiento de la Calidad del Servicio en Sistemas de Distribución usando Algoritmo Genético No-Dominado II (NSGA-II) y un Algoritmo Memético

Rojas-Ríos¹,

López-Lezama²,

Muñóz-Galeano

2016

Inf. tecnol.

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“…Analysis and Modeling of the Steady State Behavior of the (SKIG) is discussed in ( Refoufi et al, 1999). Fuzzy Logic control, Neural Network (NN) control and expert system control are presented in many papers (Haris and Sedighizadeh, 2014;Hajebrahimi et al, 2014;Kyoungsoo and Han-Ho, 2005). The advantages of (SKIG) that make it a strong contender in wind energy applications it's simple design, cheaper cost, lighter weight and can be used for utilizing more than its rating output without overheating ( Refoufi et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

New control technique for performance improvement of static Kramer induction generator

Elsonbaty

Enany

Mohamed

2016

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Purpose This paper presents the mathematical models of Static Kramer Induction Generator (SKIG) that greatly improves its performance to be competitor for wind energy and hydraulic power generation. Design/methodology/approach Two models of control strategies are proposed, the first is to control the imposed rotor voltage, thus an angular relationship between stator voltage and rotor voltage vectors over the operating speed range is established. which may be achieved by regulating the slip of the machine through the Grid Side Converter (GSC) to fix the operating technique. The second one is to control the rotor current via GSC. GSC is a PWM Voltage Source Converter Findings A comparison between the two techniques is given and very good matching is obtained. Both control strategies can be achieved in terms of the GSC firing angle as shown. In addition to the greatly improved power factor. The paper illustrates the availability of extending the operating speed range up to twice of the synchronous speed, however, the speed range must be limited by the GSC ratings to achieve the slip recovery advantage of lowering the interfacing grid converter rating in analogy the system may be applied for electric drives as well. Originality/value The operational advantages of the proposed system can be summarized as follows: 1- The system is capable of increasing the operating speed range up to twice of synchronous speed. For slip energy recovery system the required super synchronous speed range is given by 1/3 synchronous speed. 2- The system provides significant improved power factor controllability over the operating speed range. 3- The system provides controllability for either excitation rotor voltage or rotor current through the firing angle control of the grid side converter. 4- Near constant stator and rotor currents overall the speed range. 5- Near constant magnetization current. 6- Higher efficiency and reliability.

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Probabilistic Transmission Network Expansion Planning Considering Integration of Wind Power

Zhang

Cheng

et al. 2019

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)

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A fuzzy Analysis to connect the large-scale distant wind farm to grid in probabilistic multi objective transmission expansion planning

Cited by 3 publications

References 15 publications

Asignación Óptima de Presupuesto para Mejoramiento de la Calidad del Servicio en Sistemas de Distribución usando Algoritmo Genético No-Dominado II (NSGA-II) y un Algoritmo Memético

Asignación Óptima de Presupuesto para Mejoramiento de la Calidad del Servicio en Sistemas de Distribución usando Algoritmo Genético No-Dominado II (NSGA-II) y un Algoritmo Memético

New control technique for performance improvement of static Kramer induction generator

Probabilistic Transmission Network Expansion Planning Considering Integration of Wind Power

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