Abstract
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.
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Abbreviations
- AE:
-
Aqua electrolyser
- AGC:
-
Automatic generation control
- BESS:
-
Battery energy storage system
- CGU:
-
Classical Generation units
- CSA:
-
Cooperation search algorithm
- DE:
-
Differential evolution
- DG:
-
Diesel generator
- DPGU:
-
Distributed power generating units
- FC:
-
Fuel cell
- FO:
-
Fractional order
- IAE:
-
Integral absolute error
- IDD:
-
Integral-double derivative
- ISE:
-
Integral square error
- ITAE:
-
Integral time absolute error
- ITSE:
-
Integral time square error
- MISE:
-
Modified integral square error
- MTG:
-
Microturbine generator
- PIC:
-
Performance index criteria
- PID:
-
Proportional-integral-derivative
- RU:
-
Renewable units
- SCA:
-
Sine cosine algorithm
- TI-TD:
-
Tilt integral-tilt derivative
- TLBO:
-
Teaching learning-based optimizer
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Chinta, D.P., Veeranna, G., Pothula, J. et al. Application of cooperation search-based I-PD controller with new cost function for frequency control of distributed energy integrated hybrid power system. J Ambient Intell Human Comput 15, 725–738 (2024). https://doi.org/10.1007/s12652-023-04729-z
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DOI: https://doi.org/10.1007/s12652-023-04729-z