Slika na naslovnici

An improved leader particle swarm optimisation algorithm for solving flexible ac transmission systems optimisation problem in power system

Line outage contingencies in power systems are likely to result in overloads in branches, voltage deviations in buses and excessive power losses. The most common approach for alleviating such consequences is using flexible AC transmission systems (FACTS) devices. Since overloads are the main concern...

Shranjeno v:

Bibliografske podrobnosti
Glavni avtor:	Jordehi, Ahmad Rezaee
Format:	Thesis
Jezik:	English
Izdano:	2014
Online dostop:	http://ethesis.upm.edu.my/id/eprint/8155/1/FK%202014%2058.pdf
Oznake:	Označite Brez oznak, prvi označite!

Podobne knjige/članki

An improved leader particle swarm optimisation algorithm for solving flexible ac transmission systems optimisation problem in power system
od: Jordehi, Ahmad Rezaee
Izdano: (2014)

An improved leader particle swarm optimisation algorithm for solving flexible ac transmission systems optimisation problem in power system /
od: Jordehi, Ahmad Rezaee.

Parameter selection in particle swarm optimisation: a survey
od: Rezaee Jordehi, Ahmad Rezaee, et al.
Izdano: (2013)

Particle swarm optimisation applications in FACTS optimisation problem
od: Jordehi, Ahmad Rezaee, et al.
Izdano: (2013)

Flexible AC Transmission Systems: Modelling and Control
od: Zhang, Xiao-Ping., et al.
Izdano: (2006)

Flexible AC Transmission Systems: Modelling and Control
od: Zhang, Xiao-Ping., et al.
Izdano: (2012)

Particle warm optimisation : classical and quantum perspectives /
od: Sun, Jun,, et al.
Izdano: (2019)

Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
od: Nazif, Habibeh
Izdano: (2010)

Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
od: Nazif, Habibeh
Izdano: (2010)

Optimised crossover genetic algorithms for combinatorial optimisation problems /
od: Nazif, Habibeh.

Expert systems and optimisation
Izdano: (1994)

Optimisation /
od: Greig, D M.
Izdano: (1980)

Design of homogenous CNG-H and air mixer for diesel engines using particle swarm optimisation
od: Mahmood, Hussein Adel
Izdano: (2018)

Design of homogenous CNG-H and air mixer for diesel engines using particle swarm optimisation
od: Mahmood, Hussein Adel
Izdano: (2018)

Design of homogenous CNG-H and air mixer for diesel engines using particle swarm optimisation /
od: Mahmood, Hussein Adel.
Izdano: (2018)

Genetic algorithms with optimised crossover operator
od: Nazif, Habibeh, et al.
Izdano: (2009)

Genetic algorithms in optimisation, simulation and modelling /
Izdano: (1994)

A comprehensive review on methods for solving FACTS optimization problem in power systems.
od: Jasni, Jasronita, et al.
Izdano: (2011)

Using particle swarm optimization algorithm in the distribution system planning
od: Shamshiri, Meysam, et al.
Izdano: (2013)

Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement
od: Karami, Mahdi
Izdano: (2011)

Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement
od: Karami, Mahdi
Izdano: (2011)

Optimised transmission tower earthing: experience in design and operation
od: Abd Rahman, Nurul Azlina, et al.
Izdano: (2014)

Optimisation of distributed generation in electric power systems using fuzzy-genetic algorithm approach
od: Akorede, Mudathir Funsho
Izdano: (2011)

Optimisation of distributed generation in electric power systems using fuzzy-genetic algorithm approach
od: Akorede, Mudathir Funsho
Izdano: (2011)

Expert systems and optimisation in process control /
Izdano: (1986)

Particle swarm optimization /
od: Clerc, Maurice.
Izdano: (2006)

Fuzzy genetic algorithms for combinatorial optimisation problems
od: Varnamkhasti, Mohammad Jalali
Izdano: (2012)

Fuzzy genetic algorithms for combinatorial optimisation problems
od: Varnamkhasti, Mohammad Jalali
Izdano: (2012)

Fuzzy genetic algorithms for combinatorial optimisation problems /
od: Varnamkhasti, Mohammad Jalali.
Izdano: (2012)

Multicrossover genetic algorithms for combinatorial optimisation problems /
od: Lai, Soon Lee.

Fuzzy genetic algorithms for combinatorial optimisation problems /
od: Varnamkhasti, Mohammad Jalali.

Seamless vertical handover technique for vehicular ad-hoc networks using artificial bee colony-particle swarm optimisation
od: Abdulwahhab, Mohanad Mazin
Izdano: (2019)

Seamless vertical handover technique for vehicular ad-hoc networks using artificial bee colony-particle swarm optimisation
od: Abdulwahhab, Mohanad Mazin
Izdano: (2019)

Seamless vertical handover technique for vehicular ad-hoc networks using artificial bee colony-particle swarm optimisation /
od: Abdulwahhab, Mohanad Mazin,

Optimising pesticide use /
Izdano: (2003)

Optimising campaigning hours
od: The Sun
Izdano: (2022)

CIM justification and optimisation /
od: Lin, Grier C. I.
Izdano: (2000)

Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system
od: Ali, Hazem I.
Izdano: (2010)

Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system
od: Ali, Hazem I.
Izdano: (2010)

Design of low order quantitative feedback theory and h-infinity -based controllers using particle swarm optimisation for a pneumatic actuator system /
od: Ali, Hazem I