| TÃtulo : |
Optimization of Power System Problems : Methods, Algorithms and MATLAB Codes |
| Tipo de documento: |
documento electrónico |
| Autores: |
Pesaran Hajiabbas, Mahmoud, ; Mohammadi-Ivatloo, Behnam, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XII, 382 p. |
| ISBN/ISSN/DL: |
978-3-030-34050-6 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
Electric power production Inteligencia Computacional IngenierÃa de EnergÃa Eléctrica IngenierÃa Mecánica Energética |
| Clasificación: |
621.31 |
| Resumen: |
Este libro presenta métodos y algoritmos de optimización integrados para problemas de sistemas de potencia junto con sus códigos en MATLAB. Proporcionar un sistema de potencia y energÃa confiable y seguro es uno de los principales desafÃos de la nueva era. Debido a la naturaleza multiobjetivo no lineal de estos problemas, los métodos tradicionales no son enfoques adecuados para resolver dilemas de operación de sistemas de potencia a gran escala. La integración de algoritmos de optimización en sistemas de potencia se ha discutido en varios libros de texto, pero este es el primero en incluir los métodos de integración y los códigos desarrollados. Como tal, es un recurso útil para estudiantes de pregrado y posgrado, investigadores e ingenieros que intentan resolver problemas de optimización de potencia y energÃa utilizando sistemas técnicos e inteligentes modernos basados ​​en teorÃa y estudios de casos de aplicación. Se espera que los lectores tengan una formación matemática básica. |
| Nota de contenido: |
Modelling for Composite Load Model Including Participation of Static and Dynamic Load -- A novel forward-backward sweep based optimal DG placement approach in radial distribution systems -- Optimal capacitor placement in distribution systems using backward-forward sweep based load flow method -- Optimal capacitor placement and sizing in distribution networks¬ -- Binary Group Search Optimization for Distribution Network Reconfiguration -- Combined heat and power economic dispatch using particle swarm optimization -- Combined heat and power stochastic dynamic economic dispatch using particle swarm optimization considering load and wind power uncertainties -- Economic dispatch of multiple-chiller plants using Wild Goats algorithm -- Optimization of tilt angle for intercepting maximum solar radiation for power generation -- Probabilistic power flow analysis of distribution systems using Monte Carlo simulations -- Long-Term Load Forecasting Approach Using Dynamic Feed-Forward Back-Propagation Artificial Neural Network -- Multi-objective economic and emission dispatch using MOICA: a competitive study -- Voltage Control by Optimized Participation of Reactive Power Compensation Using Fixed Capacitor and STATCOM -- Backward-forward sweep based power flow algorithm in distribution systems. |
| Tipo de medio : |
Computadora |
| Summary : |
This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB. Providing a reliable and secure power and energy system is one of the main challenges of the new era. Due to the nonlinear multi-objective nature of these problems, the traditional methods are not suitable approaches for solving large-scale power system operation dilemmas. The integration of optimization algorithms into power systems has been discussed in several textbooks, but this is the first to include the integration methods and the developed codes. As such, it is a useful resource for undergraduate and graduate students, researchers and engineers trying to solve power and energy optimization problems using modern technical and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical background. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
Optimization of Power System Problems : Methods, Algorithms and MATLAB Codes [documento electrónico] / Pesaran Hajiabbas, Mahmoud, ; Mohammadi-Ivatloo, Behnam, . - 1 ed. . - [s.l.] : Springer, 2020 . - XII, 382 p. ISBN : 978-3-030-34050-6 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
| Palabras clave: |
Electric power production Inteligencia Computacional IngenierÃa de EnergÃa Eléctrica IngenierÃa Mecánica Energética |
| Clasificación: |
621.31 |
| Resumen: |
Este libro presenta métodos y algoritmos de optimización integrados para problemas de sistemas de potencia junto con sus códigos en MATLAB. Proporcionar un sistema de potencia y energÃa confiable y seguro es uno de los principales desafÃos de la nueva era. Debido a la naturaleza multiobjetivo no lineal de estos problemas, los métodos tradicionales no son enfoques adecuados para resolver dilemas de operación de sistemas de potencia a gran escala. La integración de algoritmos de optimización en sistemas de potencia se ha discutido en varios libros de texto, pero este es el primero en incluir los métodos de integración y los códigos desarrollados. Como tal, es un recurso útil para estudiantes de pregrado y posgrado, investigadores e ingenieros que intentan resolver problemas de optimización de potencia y energÃa utilizando sistemas técnicos e inteligentes modernos basados ​​en teorÃa y estudios de casos de aplicación. Se espera que los lectores tengan una formación matemática básica. |
| Nota de contenido: |
Modelling for Composite Load Model Including Participation of Static and Dynamic Load -- A novel forward-backward sweep based optimal DG placement approach in radial distribution systems -- Optimal capacitor placement in distribution systems using backward-forward sweep based load flow method -- Optimal capacitor placement and sizing in distribution networks¬ -- Binary Group Search Optimization for Distribution Network Reconfiguration -- Combined heat and power economic dispatch using particle swarm optimization -- Combined heat and power stochastic dynamic economic dispatch using particle swarm optimization considering load and wind power uncertainties -- Economic dispatch of multiple-chiller plants using Wild Goats algorithm -- Optimization of tilt angle for intercepting maximum solar radiation for power generation -- Probabilistic power flow analysis of distribution systems using Monte Carlo simulations -- Long-Term Load Forecasting Approach Using Dynamic Feed-Forward Back-Propagation Artificial Neural Network -- Multi-objective economic and emission dispatch using MOICA: a competitive study -- Voltage Control by Optimized Participation of Reactive Power Compensation Using Fixed Capacitor and STATCOM -- Backward-forward sweep based power flow algorithm in distribution systems. |
| Tipo de medio : |
Computadora |
| Summary : |
This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB. Providing a reliable and secure power and energy system is one of the main challenges of the new era. Due to the nonlinear multi-objective nature of these problems, the traditional methods are not suitable approaches for solving large-scale power system operation dilemmas. The integration of optimization algorithms into power systems has been discussed in several textbooks, but this is the first to include the integration methods and the developed codes. As such, it is a useful resource for undergraduate and graduate students, researchers and engineers trying to solve power and energy optimization problems using modern technical and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical background. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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