Journal ArticleDOI
Automatic generation control of multi-area power system using multi-objective non-dominated sorting genetic algorithm-II
TLDR
The superiority of the proposed NSGA-II optimized PI/PID controllers has been shown by comparing the results with some recently published modern heuristic optimization approaches such as Bacteria Foraging Optimization Algorithm, Genetic Algorithm and Craziness based Particle Swarm Optimization for the similar interconnected power systems.About:
This article is published in International Journal of Electrical Power & Energy Systems.The article was published on 2013-12-01. It has received 173 citations till now. The article focuses on the topics: PID controller & Multi-objective optimization.read more
Citations
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Journal ArticleDOI
Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system
TL;DR: In this article, the authors presented controller parameters tuning of differential evolution (DE) algorithm and its application to Load Frequency Control (LFC) of a multi-source power system having different sources of power generation like thermal, hydro and gas power plants.
Journal ArticleDOI
Hybrid BFOA-PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems
TL;DR: The effectiveness of the hBFOA-PSO algorithm has been tested for automatic generation control (AGC) of an interconnected power system and the superiority of the proposed approach is shown by comparing the results of craziness based particle swarm optimization (CRAZYPSO) approach.
Journal ArticleDOI
A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems
TL;DR: In this paper, a hybrid Firefly Algorithm and Pattern Search (hFA-PS) technique is proposed for automatic generation control of multi-area power systems with the consideration of Generation Rate Constraint (GRC).
Journal ArticleDOI
Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review
Hassan Haes Alhelou,Mohamad-Esmail Hamedani-Golshan,Reza Zamani,Ehsan Heydarian-Forushani,Pierluigi Siano +4 more
TL;DR: This paper presents a comprehensive literature survey on the topic of LFC, and investigates the used LFC models for diverse configurations of power systems and proposes proposed control strategies for LFC for both conventional and future smart power systems.
Journal ArticleDOI
A comprehensive state of the art literature survey on LFC mechanism for power system
TL;DR: In this article, a detailed survey on load frequency control (LFC) mechanism is presented, which explores the depth study issues related to LFC mechanism based on different sources of power system models and reveals the investigation of soft computing based optimization technique and application of ESS and HVDC-link in LFC.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book
Power System Stability and Control
TL;DR: In this article, the authors present a model for the power system stability problem in modern power systems based on Synchronous Machine Theory and Modelling, and a model representation of the synchronous machine representation in stability studies.
Journal ArticleDOI
Muiltiobjective optimization using nondominated sorting in genetic algorithms
N. Srinivas,Kalyanmoy Deb +1 more
TL;DR: Goldberg's notion of nondominated sorting in GAs along with a niche and speciation method to find multiple Pareto-optimal points simultaneously are investigated and suggested to be extended to higher dimensional and more difficult multiobjective problems.
Related Papers (5)
Bacteria foraging optimization algorithm based load frequency controller for interconnected power system
Ehab S. Ali,S.M. Abd-Elazim +1 more