Novel QO-PFA governed FO-type-II fuzzy controller for LFC of thermo-electric generator based hybrid power system

Bhatta, Sunil Kumar; Mohapatra, Srikanta; Sahu, Prakash Chandra; Swain, Sarat Chandra; Panda, Sidhartha

doi:10.1016/j.prime.2023.100249

Cited by 7 publications

(1 citation statement)

References 21 publications

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“…Based on variations in the grid's generating capacity and load demand in real time, the system employs complex control algorithms to calculate each generator's optimal power output. Due to the increasing complexity of power plant and the growing demand for energy, AGC has become a crucial part of contemporary power systems [5,6]. The three-area power grid's frequency fluctuations have been eliminated with the deployment of a modified MPC controller.…”

Section: Introductionmentioning

confidence: 99%

Renewable sources with virtual inertia penetration in multi area interconnected AGC using a modified MPC controller

Vidyarthi,

Kumar,

Kumari

et al. 2024

Eng. Res. Express

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The challenge of controlling frequency deviation becomes more difficult as the complexity of a power plant increases. The robustness of the controller has a major impact on the stability of a complex power system (CPS). Due to the hybridization of CPS basic Automatic Generation Control (AGC) controllers (PID, FOPID, and TID), they are insufficient to give optimal performance to a plant. This requires a robust controller. So, a modified MPC controller has been proposed and evaluated by comparing it with several existing controllers, which gives optimal performance in terms of overshoot, undershoot, and settling time and improves its performance approximately 45%. This research discusses a combined AGC model and control for a three-area CPS, where each producing area consists of a thermal plant, a Diesel power plant, and a Solar Thermal Power Plant (STPP). The results of the modified MPC are superior to those of the basic controller compared to several existing controllers. An improved version of Sea-horse Optimization (SHO) has been proposed to optimize the different controller settings. The superiority of the SHO is shown by a comparison with some well-known, current meta-heuristic methods. The higher penetration levels of renewable energy sources (RESs) reduced system inertia which further deteriorate frequency response in CPS. To overcome these challenges, virtual inertia (VI) has been implemented with MPC. VI is applied to improve the performance of the AGC of the interconnected CPS along with emphasizing the nature of intermittent RESs of PV and wind energy. The thorough study findings provide compelling evidence for the effectiveness and efficiency of the recommended control strategies and also point to the possibility of applying them in actual power systems to improve stability and performance.

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Section: Introductionmentioning

confidence: 99%

Renewable sources with virtual inertia penetration in multi area interconnected AGC using a modified MPC controller

Vidyarthi,

Kumar,

Kumari

et al. 2024

Eng. Res. Express

View full text Add to dashboard Cite

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Advanced modeling and control of wind conversion systems based on hybrid generators using fractional order controllers

Mseddi,

Wali,

Abid

et al. 2024

Asian Journal of Control

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The focus of this study is on modeling and management of a Wind Energy Conversion System (WECS) based on a Hybrid Excitation Synchronous Generator (HESG). Using a wind simulator, two controllers, CRONE and H∞, are evaluated for Maximum Power Point Tracking (MPPT) and optimal rotation speed. The results show the CRONE controller's higher tracking capability, and robustness tests investigate the influence of parametric uncertainty. Space harmonic effects, commutation effects, and turbine shaft flexibility are all addressed in the sophisticated models. The introduction of Fractional Order Proportional‐Integral (FOPI) control for MPPT is a game changer. Although fractional calculus‐based accuracy and robustness are uncommon in WECS, they show promise for emissions reduction and increased energy efficiency. This work validates a dependable control approach inside an isolated HESG‐based WECS's power‐maximizing range. Extensive investigation of the parameters impacting FOPI control efficiency yields useful insights for effective MPPT control. A variable‐speed wind turbine (WT) is linked to a HESG through a multiplier, with a controller controlling generator coil excitation voltages and a rectifier connecting the WECS to a load. A thorough 3 kW HESG electrical model that includes generator space harmonics and converter commutation effects is among the contributions. For HESG‐based WECS stability, frequency analysis finds important resonant and anti‐resonant frequencies. These issues are addressed by a FOPI control technique, which ensures system stability and performance. The necessity of exact frequency analysis in HESG‐based WECS is highlighted by a step‐by‐step controller parameter tuning approach.

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Impact and Integration of Electric vehicles on renewable energy based Microgrid: Frequency profile improvement by a-SCA optimized FO-Fuzzy PSS approach

Chandra Sahu

2024

Green Energy and Intelligent Transportation

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Novel QO-PFA governed FO-type-II fuzzy controller for LFC of thermo-electric generator based hybrid power system

Cited by 7 publications

References 21 publications

Renewable sources with virtual inertia penetration in multi area interconnected AGC using a modified MPC controller

Renewable sources with virtual inertia penetration in multi area interconnected AGC using a modified MPC controller

Advanced modeling and control of wind conversion systems based on hybrid generators using fractional order controllers

Impact and Integration of Electric vehicles on renewable energy based Microgrid: Frequency profile improvement by a-SCA optimized FO-Fuzzy PSS approach

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