2011
DOI: 10.1016/j.ijepes.2010.12.027
|View full text |Cite
|
Sign up to set email alerts
|

Robust decentralized load frequency control of interconnected power system with Generation Rate Constraint using Type-2 fuzzy approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
69
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 138 publications
(70 citation statements)
references
References 17 publications
0
69
0
Order By: Relevance
“…It is well known that due to physical limitations, generation units have inherent generation rate constraints (GRC), such as ramp rate constraints and upper-lower bound constraints. If GRC is not considered adequately in LFC design, the controller will not yield excellent performances, and even the closed-loop system stability may be destroyed under disturbances [26][27][28]. In the aforementioned research work, some studies make tentative consideration on the GRC problem.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…It is well known that due to physical limitations, generation units have inherent generation rate constraints (GRC), such as ramp rate constraints and upper-lower bound constraints. If GRC is not considered adequately in LFC design, the controller will not yield excellent performances, and even the closed-loop system stability may be destroyed under disturbances [26][27][28]. In the aforementioned research work, some studies make tentative consideration on the GRC problem.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the validity of these methods to deal with GRC lacks theoretical support. Towards LFC design with GRC, the extended integral control method in [26], the biased PI dual mode control method in [27], the Type-2 fuzzy approach in [28], and the anti-GRC PI-type controller in [29,30] are adopted to deal with the GRC problem. Unfortunately, the strict mathematical proof in the above methods is still absent.…”
Section: Introductionmentioning
confidence: 99%
“…Artificial intelligence (AI) and Evolutionary algorithms based controllers have been applied to LFC problem by a wider section of researchers [5, [9][10][11][12][13][14][15][16]. Modern intelligent methods and Evolutionary algorithms, such as Genetic algorithms(GAs), Artificial neural networks (ANNs), Fuzzy logic, Particle swarm optimization (PSO), Modified PSO and its hybrids based optimization have helped in the design of variety of controllers for the LFC systems [5, [9][10][11][12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…Modern intelligent methods and Evolutionary algorithms, such as Genetic algorithms(GAs), Artificial neural networks (ANNs), Fuzzy logic, Particle swarm optimization (PSO), Modified PSO and its hybrids based optimization have helped in the design of variety of controllers for the LFC systems [5, [9][10][11][12][13][14][15][16][17]. GA/particle swarm intelligence based optimization technique has been applied to the automatic generation control [13].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation