Load–Frequency Control Using Multi-objective Genetic Algorithm and Hybrid Sliding Mode Control-Based SMES

This paper aims to better the dynamic response of interconnected power systems following any load change using the combination of multi-objective optimization algorithm-based PID and a hybrid adaptive fuzzy sliding mode. In the proposed method, a hybrid sliding surface including two subsystems’ info...

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Bibliographic Details
Published inInternational journal of fuzzy systems Vol. 20; no. 1; pp. 280 - 294
Main Authors Khosraviani, Mehrshad, Jahanshahi, Mohsen, Farahani, Mohsen, Bidaki, Amir Reza Zare
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2018
Springer Nature B.V
Subjects
Artificial Intelligence
Computational Intelligence
Control systems design
Control theory
Controllers
Dynamic response
Engineering
Error compensation
Feedback linearization
Frequency control
Frequency deviation
Fuzzy control
Genetic algorithms
Management Science
Methods
Multiple objective analysis
Operations Research
Optimization
Proportional integral derivative
Sliding mode control
Subsystems
Load–frequency control (LFC)
Multi-objective optimization algorithm
Hybrid adaptive fuzzy sliding mode control
Genetic algorithm
Pareto-set
SMES
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ISSN1562-2479
2199-3211
DOI10.1007/s40815-017-0332-z

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Summary:This paper aims to better the dynamic response of interconnected power systems following any load change using the combination of multi-objective optimization algorithm-based PID and a hybrid adaptive fuzzy sliding mode. In the proposed method, a hybrid sliding surface including two subsystems’ information is introduced to produce a control effort to move both subsystems toward their related sliding surface. A feedback linearization control law is mimicked by an adaptive fuzzy controller. To compensate the error between the feedback linearization and adaptive fuzzy controller, a hitting controller is developed. The design of PID controller is formulated into a multi-objective optimization problem. The performance of suggested method is assessed on two interconnected power systems. These results validate that the suggested method confirms better disturbance rejection, keeps the control quality in different situations, reduces the frequency deviations preventing the overshoot and has more robustness to uncertainties and change in parameters in the power system.
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ISSN:1562-2479
2199-3211
DOI:10.1007/s40815-017-0332-z