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122 results on '"Jagatheesan, K."'

9. Frequency Management of an Interconnected Power System Using Ant Colony Optimization Technique Enhanced PI Controller

Author

Satheeshkumar, R., Jagatheesan, K., Boopathi, D., Ramesh Chandra Prusty, K., Naidu, Kanendra, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Chaki, Nabendu, editor, Roy, Nilanjana Dutta, editor, Debnath, Papiya, editor, and Saeed, Khalid, editor

Published
2023
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16. Frequency Regulation of Interconnected Power Generating System Using Ant Colony Optimization Technique Tuned PID Controller

Author

Kumarakrishnan, V., Vijayakumar, G., Boopathi, D., Jagatheesan, K., Saravanan, S., Anand, B., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Suhag, Sathans, editor, Mahanta, Chitralekha, editor, and Mishra, Sukumar, editor

Published
2022
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17. PSO Optimum Design-PID Controller for Frequency Management of Single Area Multi-Source Power Generating System

Author

Kumarakrishnan, V., Vijayakumar, G., Jagatheesan, K., Boopathi, D., Anand, B., Kanendra Naidu, V., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Sarma, Hiren Kumar Deva, editor, Balas, Valentina Emilia, editor, Bhuyan, Bhaskar, editor, and Dutta, Nitul, editor

Published
2022
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21. Fractional order PIλDμ controller for microgrid power system using cohort intelligence optimization

Author

Murugesan D., Jagatheesan K., Pritesh Shah, and Ravi Sekhar

Subjects
Cohort Intelligence, Genetic algorithm, Particle Swarm Optimization, Load Frequency Control, Fractional order PID controller, Applied mathematics. Quantitative methods, T57-57.97
Abstract

Microgrids are the future of energy management systems. Effective deployment and integration of microgrids can provide energy independence to many communities. The effectiveness of a microgrid primarily depends on its stability and reliability. Fractional regulators offer promising solutions to ensure stable microgrid performances. This article proposes a Fractional order Proportional–Integral–Derivative (FOPID) based secondary Load Frequency Control (LFC) for single area and dual-area AC microgrid systems. Cohort Intelligence (CI) based optimization was employed to tune the five major gain values of fractional PID regulators. The performance of the proposed CI tuned FOPID regulator was compared with that of the traditional PID controller tuned by Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) on the same single and dual control area microgrid systems. Four different cases of AC microgrid simulations were explored for LFC performance assessments and effective comparisons among different controllers and tuning algorithms. The first case considered load changes in single area AC microgrid with and without distributed energy system. The second case considered load variations in the two area AC microgrid system. The third and fourth cases included variations in random step load and system parameters respectively. Primary results affirm the superiority of the CI tuned FOPID regulator over its GA and PSO tuned PID counterparts in terms of its better steady-state precision, expressed in terms of the Integral Time Absolute Error (ITAE) selected as the objective function.

Published
2023
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24. ACO-Based Control Strategy in Interconnected Thermal Power System for Regulation of Frequency with HAE and UPFC Unit

Author

Jagatheesan, K., Anand, B., Dey, Nilanjan, Ashour, Amira S., Khosravy, Mahdi, Kumar, Rajesh, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ray, Kanad, editor, Roy, Krishna Chandra, editor, Toshniwal, Sandeep Kumar, editor, Sharma, Harish, editor, and Bandyopadhyay, Anirban, editor

Published
2021
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47. Optimization of Load Frequency Control Gain Parameters for Stochastic Microgrid Power System.

Author

Murugesan, D., Jagatheesan, K., Shah, Pritesh, and Sekhar, Ravi

Subjects
POWER supply quality, MICROGRIDS, OPTIMIZATION algorithms, ELECTRIC generators, PID controllers, ELECTRIC batteries, GENETIC algorithms
Abstract

Interconnected multi-area microgrids are vital for the future of sustainable and reliable power systems. Effective load frequency control (LFC) is indispensable for ensuring their stable operation. This paper introduces a PID-based LFC system tailored for a stochastic microgrid with diverse power sources, including solar, wind, diesel engine generators, and electrical batteries. The gain parameters of the proposed microgrid PID LFC controller are optimized using genetic algorithms (GA), teaching learningbased optimization (TLBO), and cohort intelligence algorithms. Integral time-multiplied absolute error (ITAE) and integral timesquared error (ITSE) serve as the cost functions for all optimization algorithms. The study evaluated the performance of these optimized microgrid PID LFC configurations under random step load disruptions. Our primary findings reveal that the cohort intelligence-optimized PID LFC controller excels in minimizing computation time (upto 76% and 94% lesser than GA and TLBO respectively) and exhibits superior robust response characteristics. Moreover, the cohort intelligence algorithm requires fewer iterations (upto 66% and 90% lesser than GA and TLBO respectively) and enhances power supply quality within the multipower microgrid electrical framework, specifically in terms of effective load frequency control. [ABSTRACT FROM AUTHOR]

Published
2023
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