2018
DOI: 10.1155/2018/2672436
|View full text |Cite
|
Sign up to set email alerts
|

Decentralized Adaptive Double Integral Sliding Mode Controller for Multi-Area Power Systems

Abstract: Most of the existing results for load frequency control of multi-area interconnected power systems can only be obtained when the norm of the aggregated uncertainties is bounded by a positive constant. This condition is difficult to achieve in real multi-area interconnected power systems. In this paper, a new load frequency control (LFC) for multi-area interconnected power systems is developed based on a decentralised adaptive double integral sliding mode control technique where the above limitation is eliminat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 11 publications
(2 citation statements)
references
References 23 publications
0
2
0
Order By: Relevance
“…Furthermore, optimal LFC based SMC was designed for nonlinear power system [22]. Adaptive SMC based LFC for power systems are discussed in [23][24][25][26]. However, the SMC controllers discussed in the literature were designed with all power system states assumed to be measured.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, optimal LFC based SMC was designed for nonlinear power system [22]. Adaptive SMC based LFC for power systems are discussed in [23][24][25][26]. However, the SMC controllers discussed in the literature were designed with all power system states assumed to be measured.…”
Section: Introductionmentioning
confidence: 99%
“…However, the integral sliding surface gives low accuracy due to chattering phenomenon. Therefore, Le Ngoc Minh et al proposed a double integral sliding surface based on the decentralized adaptive control to solve the above problem [27]. Moreover, researchers have tried to combine intelligent techniques with SMC to design the optimal and robust control for the LFC of the MAPS.…”
Section: Introductionmentioning
confidence: 99%