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46 results on '"Patel, Nimai Charan"'

1. TLBO Designed 2-DOFPIDF Controller for LFC of Multi-area Multi-source Power System

Author

Patel, Nimai Charan, Sahu, Binod Kumar, Khamari, Ramesh Chandra, 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, Mishra, Manohar, editor, Sharma, Renu, editor, Kumar Rathore, Akshay, editor, Nayak, Janmenjoy, editor, and Naik, Bighnaraj, editor

Published
2022
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2. Implementation of TLBO Optimised PI λ D μ Controller for LFC of Nonlinear Reheat Thermal Power System

Author

Patel, Nimai Charan, Sahu, Binod Kumar, Khamari, Ramesh Chandra, 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, Subramani, C., editor, Vijayakumar, K., editor, Dakyo, Brayima, editor, and Dash, Subhransu Sekhar, editor

Published
2022
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3. Synchronization for Nonlinear Time-Delay Chaotic Diabetes Mellitus System via State Feedback Control Strategy

Author

Mohanty, Nalini Prasad, Dey, Rajeeb, Roy, Binoy Krishna, Patel, Nimai Charan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Dash, Subhransu Sekhar, editor, Das, Swagatam, editor, and Panigrahi, Bijaya Ketan, editor

Published
2021
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4. Automatic Generation Control Using Novel PD Plus FOPI Controller Tuned by Salp Swarm Algorithm

Author

Patel, Nimai Charan, Debnath, Manoj Kumar, Sahu, Binod Kumar, Dash, Subhransu Sekhar, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Dash, Subhransu Sekhar, editor, Lakshmi, C., editor, Das, Swagatam, editor, and Panigrahi, Bijaya Ketan, editor

Published
2020
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5. Application of SCA-Based Two Degrees of Freedom PID Controller for AGC Study

Author

Patel, Nimai Charan, Sahu, Binod Kumar, Debnath, Manoj Kumar, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Pati, Soumen Kumar, editor, and Pelusi, Danilo, editor

Published
2020
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8. Whale Optimization Algorithm Tuned Fuzzy Integrated PI Controller for LFC Problem in Thermal-hydro-wind Interconnected System

Author

Patel, Nimai Charan, Debnath, Manoj Kumar, 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, Liang, Qilian, Series Editor, Martin, 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, Zhang, Junjie James, Series Editor, Mishra, Sukumar, editor, Sood, Yog Raj, editor, and Tomar, Anuradha, editor

Published
2019
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9. 2DOF-PID Controller-Based Load Frequency Control of Linear/Nonlinear Unified Power System

Author

Patel, Nimai Charan, Debnath, Manoj Kumar, Sahu, Binod Kumar, Das, Pranati, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bhaskar, M. Arun, editor, Dash, Subhransu Sekhar, editor, Das, Swagatam, editor, and Panigrahi, Bijaya Ketan, editor

Published
2019
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20. Application of Fractional Order Cascaded Controller for AGC Study in Power System Integrated With Renewable Sources

Author

Bayndir, Ramazan, Sahoo, Subhadra, Patel, Nimai Charan, Jena, Narendra Kumar, Dash, Subhransu Sekhar, and Sahu, Binod Kumar

Abstract

The intent of this paper assimilates the issues of automatic generation control (AGC) of a two-area power system entailing five numbers of renewable as well as conventional sources such as thermal unit, hydro unit, wind unit, diesel unit, and photovoltaic (PV) unit. To make the proposed model more realistic, some non-linearities like boiler dynamics, governor dead band (GDB), and generation rate limit (GRC) are inducted into their concerned sources. The frequency stability of the system is enhanced by assuaging the transient indices like undershoot, overshoot, rise time, and settling time by employing two degrees of freedom (2-DOF) based fractional order (FO) cascaded controller incorporating with derivative filter (N) named 2-DOF-FOPIDN-FOPDN controller. The proposed controller along with 2-DOF-PIDN-PDN, and PID controllers are designed by endorsing selfish herd optimization technique (SHOT). The performance of the proposed controller is corroborated by comparing the performance exhibited by 2-DOF-PIDN-PDN, and PID controllers. Besides this, the know-how of the recommended controller is evaluated and investigated against solar power variation, load perturbation, and system's parameter deviation which confers the robustness of the controller is conceived.

Published
2020

32. Application of Invasive Weed Optimization Algorithm to Optimally Design Multi-Staged PID Controller for LFC Analysis

Author

Sahu, Binod Kumar, Dash, Subhransu Sekhar, Patel, Nimai Charan, Debnath, Manoj Kumar, and BAYINDIR, RAMAZAN

Abstract

This article presents the study of frequency regulation of a solar energy based two area integrated power system equipped with multi-staged PID & conventional PID controller. To optimize the parameters of the projected multi-staged PID controllers, invasive weed optimization algorithm (IWOA) is employed. A disturbance to the extent of 0.01 p.u. is injected to the control area 1 to examine the effectiveness of the controllers in maintaining the system stability. Comparison of the results with respect to the magnitude of oscillations and settling time indicates that the proposed multi-staged PID controller outperforms the classical PID controller. The projected multi-staged PID controller optimised by the aforesaid algorithm (IWOA) helps in attaining nominal values of the tie-line power & frequency deviations during large parametric variation of the system and variation of system condition. Robustness of the proposed control strategy is established under various conditions such as (i) inclusion of a time delay of 0.7 s in each control area, (ii) wide variations of the system parameters and (iii) application of a random loading pattern in area 1.

Published
2019

33. A novel application of ALO-based fractional order fuzzy PID controller for AGC of power system with diverse sources of generation.

Author

Patel, Nimai Charan, Sahu, Binod Kumar, Bagarty, Durgesh Prasad, Das, Pranati, and Debnath, Manoj Kumar

Subjects
*INTELLIGENT control systems, *WIND power plants, *FUZZY integrals, *ERROR functions, *AUTOMATIC control systems, *PID controllers
Abstract

The operation and control of the modern power system has become complex and difficult due to the incessant penetration of nonconventional energy sources integrated to the power grid and the structural variation of power system with continuing escalation of power demand in recent years. This entails the implementation of intelligent control strategy for satisfactory operation of the power system. Hence, a fractional order fuzzy proportional integral derivative (FOFPID) controller is suggested in this article for automatic generation control of two unequal area interconnected power system with diverse generating units such as thermal, hydro, diesel and wind power plants. The dynamic performance of the system is investigated by using proportional integral derivative (PID), fractional order PID (FOPID), fuzzy PID (FPID) and fractional order fuzzy PID (FOFPID) controllers separately. The parameters of these controllers are optimised by using ant lion optimiser algorithm with integral time absolute error as the objective function. The supremacy of the proposed controller is established by contrasting the results with FPID, FOPID and PID controllers. It is also observed that FPID controller gives superior result than PID and FOPID controllers. Further it is found that the result of FOPID controller is better than the integer order PID controller. Finally robustness analysis is performed to confirm the robustness of the proposed controller against parametric variations and random loading of the system. [ABSTRACT FROM AUTHOR]

Published
2021
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42. Automatic generation control analysis of power system with nonlinearities and electric vehicle aggregators with time-varying delay implementing a novel control strategy.

Author

PATEL, Nimai Charan, SAHU, Binod Kumar, and DEBNATH, Manoj Kumar

Subjects
*ELECTRIC power systems, *AUTOMATIC control systems, *ELECTRIC vehicles, *HYBRID electric vehicles, *SYSTEM analysis, *PARTICLE swarm optimization
Abstract

Automatic generation control (AGC) also known as load frequency control plays a vital role in interconnected power system for frequency regulation. Electric vehicles (EVs) with battery as the storage device can participate in frequency regulation service. In practice, a large number of EVs are aggregated as a single unit called EV aggregator for participation in frequency regulation service in AGC system. Participation of EV aggregators in AGC system for frequency regulation will be encouraged in near future because EVs have less environmental pollution than the conventional vehicles. However, participation of EV aggregators in AGC system may introduce time delay which degrades the dynamic performance of the power system and even may lead to system instability. Further, generation rate constraint (GRC) and governor dead band (GDB) of synchronous generator introduce nonlinearity in the system, which adversely affects its dynamic performance. Hence, selection of an appropriate control strategy is essential for performance enrichment of the power system. In this work, a PID-fuzzy-PID (PID-FPID) controller optimally designed by hybridizing particle swarm optimization (PSO) and modified sine cosine algorithm (MSCA) is proposed and a novel attempt is made to improve the frequency stability of a two-equal-area interconnected thermal power system with GDB and GRC incorporating an EV aggregators with time-varying delay in each area. Integral time absolute error has been chosen as the objective function to optimally design the controller parameters. Dynamic performance of the system is also investigated with proportional-integral-derivative (PID) controller optimally designed by PSO, sine cosine algorithm (SCA), MSCA, and hybrid PSO-MSCA. The efficacy and supremacy of the proposed hybrid PSO-MSCA-based PID-FPID control strategy is established by contrasting the results with the others. Finally, the robustness of the proposed control strategy is validated by (i) including two EV aggregators with time-varying delay in each area, (ii) applying a large disturbance of 0.4 p.u. in area-1, and (iii) applying a random load in area-1. [ABSTRACT FROM AUTHOR]

Published
2019
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46. Automatic generation control analysis of power system with nonlinearities and electric vehicle aggregators with time-varying delay implementing a novel control strategy

Author

PATEL, Nimai Charan, SAHU, Binod Kumar, and DEBNATH, Manoj Kumar

Subjects
Automatic generation control,electric vehicle aggregators,time-varying delay,particle swarm optimization,modified sine cosine algorithm
Abstract

Automatic generation control (AGC) also known as load frequency control plays a vital role in interconnected power system for frequency regulation. Electric vehicles (EVs) with battery as the storage device can participate in frequency regulation service. In practice, a large number of EVs are aggregated as a single unit called EV aggregator for participation in frequency regulation service in AGC system. Participation of EV aggregators in AGC system for frequency regulation will be encouraged in near future because EVs have less environmental pollution than the conventional vehicles. However, participation of EV aggregators in AGC system may introduce time delay which degrades the dynamic performance of the power system and even may lead to system instability. Further, generation rate constraint (GRC) and governor dead band (GDB) of synchronous generator introduce nonlinearity in the system, which adversely affects its dynamic performance. Hence, selection of an appropriate control strategy is essential for performance enrichment of the power system. In this work, a PID-fuzzy-PID (PID-FPID) controller optimally designed by hybridizing particle swarm optimization (PSO) and modified sine cosine algorithm (MSCA) is proposed and a novel attempt is made to improve the frequency stability of a two-equal-area interconnected thermal power system with GDB and GRC incorporating an EV aggregators with time-varying delay in each area. Integral time absolute error has been chosen as the objective function to optimally design the controller parameters. Dynamic performance of the system is also investigated with proportional-integral-derivative (PID) controller optimally designed by PSO, sine cosine algorithm (SCA), MSCA, and hybrid PSO-MSCA. The efficacy and supremacy of the proposed hybrid PSO-MSCA-based PIDFPID control strategy is established by contrasting the results with the others. Finally, the robustness of the proposed control strategy is validated by (i) including two EV aggregators with time-varying delay in each area, (ii) applying a large disturbance of 0.4 p.u. in area-1, and (iii) applying a random load in area-1.

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