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Solution Approach to Automatic Generation Control Problem Using Hybridized Gravitational Search Algorithm Optimized PID and FOPID ControllersDAHIYA, P. , SHARMA, V. , NARESH, R.
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automatic generation control, disruption operator, fractional calculus, gravitational search algorithm, opposition based learning
power(21), control(17), load(9), frequency(9), algorithm(9), generation(8), systems(7), automatic(7), system(6), search(5)
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About this article
Date of Publication: 2015-05-31
Volume 15, Issue 2, Year 2015, On page(s): 23 - 34
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.02004
Web of Science Accession Number: 000356808900004
SCOPUS ID: 84979725893
This paper presents the application of hybrid opposition based disruption operator in gravitational search algorithm (DOGSA) to solve automatic generation control (AGC) problem of four area hydro-thermal-gas interconnected power system. The proposed DOGSA approach combines the advantages of opposition based learning which enhances the speed of convergence and disruption operator which has the ability to further explore and exploit the search space of standard gravitational search algorithm (GSA). The addition of these two concepts to GSA increases its flexibility for solving the complex optimization problems. This paper addresses the design and performance analysis of DOGSA based proportional integral derivative (PID) and fractional order proportional integral derivative (FOPID) controllers for automatic generation control problem. The proposed approaches are demonstrated by comparing the results with the standard GSA, opposition learning based GSA (OGSA) and disruption based GSA (DGSA). The sensitivity analysis is also carried out to study the robustness of DOGSA tuned controllers in order to accommodate variations in operating load conditions, tie-line synchronizing coefficient, time constants of governor and turbine. Further, the approaches are extended to a more realistic power system model by considering the physical constraints such as thermal turbine generation rate constraint, speed governor dead band and time delay.
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 Automatic generation control using disrupted gravitational search algorithm based proportional integral derivative controller, Preeti, , Sharma, Veena, Naresh, R., Pulluri, Harish, 2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS), ISBN 978-1-4673-8253-3, 2015.
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 Automatic generation control of multi-source interconnected power system including DFIG wind turbine, Preeti, , Sharma, Veena, Naresh, R., Pulluri, Harish, 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), ISBN 978-1-4673-8587-9, 2016.
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 AGC of a two area nonlinear power system using BOA optimized FOPID+PI multistage controller, Lal, Deepak Kumar, Barisal, Ajit, Madasu, Satya Dinesh, 2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), ISBN 978-1-5386-7989-0, 2019.
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 Load Frequency Control of Two Area Interconnected Power System Using Fuzzy Logic Control and PID Controller, Tur, Mehmet Rida, Wadi, Mohammed, Shobole, Abdulfetah, Ay, Selim, 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA), ISBN 978-1-5386-5982-3, 2018.
Digital Object Identifier: 10.1109/ICRERA.2018.8566890 [CrossRef]
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