Application of cooperation search-based I-PD controller with new cost function for frequency control of distributed energy integrated hybrid power system

This paper introduces a new cost function to measure the power system frequency disturbances. This cost function helps to identify optimal parameter gains of the secondary controllers of automatic generation control mechanism to minimize the frequency and tie line power deviations during load pertur...

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Bibliographic Details
Published inJournal of ambient intelligence and humanized computing Vol. 15; no. 1; pp. 725 - 738
Main Authors Chinta, Durga Prasad, Veeranna, G., Pothula, Jagadeesh, Kumar, K. Kiran, Azamira, Siva Sankara Naik
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 2024
Springer Nature B.V
Subjects
Artificial Intelligence
Automatic control
Computational Intelligence
Controllers
Cooperation
Cost function
Derivatives
Distributed generation
Engineering
Frequency control
Frequency deviation
Hybrid systems
Integrals
Investigations
Optimization algorithms
Optimization techniques
Original Research
Parameter identification
Power
Proportional derivative
Robotics and Automation
Search algorithms
Simulation
Systems stability
User Interfaces and Human Computer Interaction
I-PD controller
Hybrid power system
Cooperation search optimizer
Automatic generation control
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Summary:This paper introduces a new cost function to measure the power system frequency disturbances. This cost function helps to identify optimal parameter gains of the secondary controllers of automatic generation control mechanism to minimize the frequency and tie line power deviations during load perturbations. To study the application benefits, merits and the drawbacks of the new cost function, an interconnected two area power system with renewable and micro energy sources is selected. The study further extended to design of classical controllers with the proposed cost function to reduce frequency deviations. To enhance the frequency profile of the hybrid power system, integral-proportional-derivative secondary controller is applied whose optimal parameter gains are adjusted using recent population search-based technique known as cooperation search algorithm (CSA). New findings are listed by carrying simulations on the hybrid power system at different generation and demand loadings in presence of classical and I-PD controllers with proposed and existing cost function-based CSA tuned values.
ISSN:1868-5137
1868-5145
DOI:10.1007/s12652-023-04729-z