Imperialist competitive algorithm optimized cascade controller for load frequency control of multi-microgrid system Pratap Chandra Nayak, Umesh Chandra Prusty, Ramesh Chandra Prusty, Sidhartha Panda Energy Sources Part A Recovery Utilization and Environmental Effects, 2025 Control of multi-energy source-based microgrid is a complex task due to the presence of unpredictable renewable energy sources (RES). This paper proposes a cascade structure of proportional derivat...
An improved moth swarm algorithm based fractional order type-2 fuzzy PID controller for frequency regulation of microgrid system Umesh Chandra Prusty, Pratap Chandra Nayak, Ramesh Chandra Prusty, Sidhartha Panda Energy Sources Part A Recovery Utilization and Environmental Effects, 2025 This research work introduces an improvised moth swarm algorithm (i-MSA) to resolve the load frequency control issue of microgrid (MG) systems. A microgrid system is a cluster of distributed generation (DG) power sources like photovoltaic (PV), wind power systems along with electric storage devices such as electrochemical batteries, flywheel systems, and electric vehicles. The unpredictable responses of DG sources influence a large frequency deviation, which creates frequency regulation problems taken as the problem objective for this research work. In the preliminary stage, the effectiveness of the i-MSA has been established by performing a comparative analysis considering single/multidimensional benchmark test functions. To validate the superiority of the i-MSA method, the technical viability has been measured by comparing the outcomes of the proposed approach with those of some newly recommended optimization methods. Furthermore, an advanced hybrid fractional order type-2 fuzzy PID (FO-T2F-PID) controller is projected for frequency control of the MG system. The uncertainties due to DG source penetration in the MG system and the impact of storage devices including the EV system to regulate the frequency have been studied using the proposed approach. The effect of operational parameter variations has been studied through a sensitivity test. From the data analysis, it is observed that the i-MSA-scaled FO-T2F-PID approach presents advancement in the fitness function of 29.11%, 33.53%, 47.16%, and 55.37% as compared to h-DE-PS: 2DOF/PID, I-JAYA: fuzzy PD/PI-PD, hybrid DFPS: TID, and Kriging: FOPID approaches, respectively. Similarly, the improvement in the settling interval for the proposed approach is observed to be 33.83%, 35.82%, 38.12%, and 42.18% as related to h-DE-PS: 2DOF/PID, I-JAYA: fuzzy PD/PI-PD, hybrid DFPS: TID, and Kriging: FOPID approaches, respectively. To indorse the practicability of the i-MSA-based FO-T2F-PID method, real-time simulation testing has been carried out in the MATLAB-interfaced OPAL-RT experimental setup. Finally, the optimum results obtained from the proposed approaches are confirmed by relating the same to some recently published frequency regulation outcomes in a benchmark power system model. It is observed that the i-MSA-based FO-T2F-PID method delivers advancement in microgrid frequency control compared to recent research outcomes.
Sunflower optimization based fractional order fuzzy PID controller for frequency regulation of solar-wind integrated power system with hydrogen aqua equalizer-fuel cell unit Pratap Chandra Nayak, Barada Prasanna Nayak, Ramesh Chandra Prusty, Sidhartha Panda Energy Sources Part A Recovery Utilization and Environmental Effects, 2025 The rapid advancement of electric consumer demand enforces challenging situations to manage high penetration of Solar PV and Wind Power into the hydrothermal system resulting in load frequency control (LFC) problem. This article introduces an advanced strategy to manage the LFC issue in an integrated power system (PS) with the impact of hydrogen aqua equalizer (HAE)-based Fuel cells (FC). A transformative fractional-order fuzzy-based PID (FOFPID) controller regulated by the Sunflower optimizing (SFO) technique has been proposed for frequency regulation of the proposed integrated PS. The preeminence of the FOFPID controller has been validated over PID, Fuzzy-PID (FPID), and fractional order PID (FOPID) controller. The effectiveness of the SFO technique has been established over teaching learning-based optimization (TLBO) and Genetic Algorithm (GA). The supremacy of the SFO approach authenticated by some recent frequency regulation research outcomes. The influence of HAE-FC for frequency regulation in an integrated PS has been studied with the proposed SFO-tuned FOFPID controller. From the observation, it is perceived that the values of reduction in ITAE with suggested SFO-tuned FOFPID controller as compared to GA & TLBO are 84.61% & 56.04% and further 35.16% is reduced with the occurrence of HAE-FC element. It is also perceived that the improvement in settling time for ∆f1, ∆f2, ∆Ptie12 with SFO approach related to GA are 78.07%, 76%, and 83.87% and compared to TLBO are 9.97%, 38.25%, and 68.23%. Furthermore, 26.45%, 18.64%, and 31.21% are reduced with the presence of HAE-FC unit. Lastly, the sturdiness of the anticipated strategy was authenticated by a sensitivity test and a real-time validation test using OPAL-RT.
ICOA Based Load Frequency Control Optimized ITDF Controller Integrating Distributed Generation Resources Sunita Pahadasingh, Pratap Chandra Nayak, Ajit Kumar Panda, Chitralekha Jena, Babita Panda 3rd IEEE International Conference on Industrial Electronics Developments and Applications Icidea 2025, 2025 The load frequency control of a multi-area system integrated with distributed generation resources are applied in this study using improved coati optimization algorithm (ICOA). Wind turbines' intermittent power output under frequent and economical load adjustments in distributed generation resources (DGR) contributes to tie-line power instability and system frequency ambiguity. Review the current electricity system's performance going forward, taking into account the integrated DG resources. A revolutionary integral of tilted derivative filter (I-TDF) controller is explored using ICOA for enhancement of frequency stability. Research shows that I-TDF performs better than other controllers in terms of lowering peak, settling time, and cost function value. The ICOA algorithm's superiority is contrasted with that of the sine cosine algorithm (SCA) and emperor penguin optimization (EPO).
Modified Gravitational Search Algorithm Based Load Frequency Control Incorporated with Renewable Energy Sources Guntupalli Hanumantharao, Chitralekha Jena, Padarbinda Samal, Pratap Chandra Nayak, Sunita Pahadasingh 7th International Conference on Energy Power and Environment Icepe 2025, 2025 Controlling and operating a multi-area interconnected power plant effectively involves one of the most important tasks of returning area frequency to its steady-state value after variations in load. This study proposes the load frequency control (LFC) of two area interconnected power system (IPS) having energy sources solar and wind integrated with thermal plant. An integral time derivative (ITD) controller is proposed here to minimize the area control error (ACE). Modified gravitational search algorithm (MGSA) is proposed for better tuning of proposed ITD controller. Objective function Integral of time absolute error (ITAE) is considered to minimize the ACE. The performance of ITD controller is proven here in comparison with tilt- integral-derivative (TID) and proportional-integral-derivative (PID) controller. Finally, a comparison is made between MGS and JAYA algorithm to prove the efficacy of proposed algorithm optimized by ITD controller. The simulation results are carried out through Matlab/Simulink environment.
Design and Analysis of Time-Varying Derivative Fractional Order Proportional–Integral–Derivative Controller for Frequency Regulation of Shipboard Microgrid System Sonalika Mishra, P. C. Nayak, R. Prusty, S. Panda Electrica, 2024 Abstract: This study considers the shipboard microgrid (MG) system’s frequency oscillations problem against the unpredictability of renewable resources and load uncertainties. The shipboard MG system consists of a photovoltaic, wind turbine generator, ship diesel generator, electrolyzer-based fuel cells, and battery energy storage system. A time-varying derivative fractional order controller (TVD-FOPID) has been incorporated into the shipboard MG system to attain the desired frequency stability. In this respect, the introduction of the time function to the derivative part of the TVD-FOPID controller provides appropriate damping at the proper instant to reduce the voltage spike sufficiently which improves the system response. Consequently, a modified sine cosine algorithm (MSCA) has been employed for the tuning of the TVD-FOPID controller’s coefficient. There is a 13.43% improvement in fitness value with MSCA against the basic SCA-tuned TVD-FOPID controller with diversified unpredictable disturbances. About, 80% reduction is observed in the derivative kick and a 40% reduction is observed in the voltage spike with the use of a tuned TVDFOPID controller over MSCA-tuned TV-FOPID. Again, 86% reduction in a derivative kick and, a 99% reduction in voltage spike with the use of a TVD-FOPID controller than that of a regular FO-PID controller. The simulation results validate that the TVD-FOPID controller offers stable output in less time than TV-FOPID and FOPID controllers. Also, it is confirmed that the derivative kick, voltage spikes, and the peak overshoot of the response offered by the proposed approach are decreased, which will save the system components. Further, the viability of the controller has been evaluated through sensitivity analysis. To witness the real-time application of the simulated system results are examined in the OPAL-RT simulator. Cite this article as: S. Mishra, P. C. Nayak, R. C. Prusty and S. Panda, “Design and analysis of time-varying derivative fractional order proportional–integral–derivative controller controller for frequency regulation of shipboard microgrid system,” Electrica, 24(2), 392-405, 2024.
A GEANT4 based simulation framework for the large area muon telescope of the GRAPES-3 experiment F. Varsi, S. Ahmad, M. Chakraborty, A. Chandra, S.R. Dugad, U.D. Goswami, S.K. Gupta, B. Hariharan, Y. Hayashi, P. Jagadeesan, A. Jain, P. Jain, S. Kawakami, H. Kojima, S. Mahapatra, S. Mishra, P.K. Mohanty, R. Moharana, Y. Muraki, P.K. Nayak, T. Nonaka, A. Oshima, B.P. Pant, D. Pattanaik, A.K. Pradhan, G.S. Pradhan, M. Rameez, K. Ramesh, L.V. Reddy, S. Saha, R. Sahoo, R. Scaria, S. Shibata, M. Zuberi Journal of Instrumentation, 2023
