Department of Electrical and Electronics Engineering

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Author: search.filters.author.Mishra, PuneetSubject: search.filters.subject.Load frequency control

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    Fuzzy-based fractional order control for effective frequency regulation
    (IEEE, 2025-05) Mishra, Puneet; Mathur, Hitesh Datt
    The objective of the presented work is to investigate the application of a fuzzy fractional order PID (fuzzy FOPID) controller in a two-area tied hybrid power system. This consists of integrating thermoelectric power plants that have been heated again, together with unpredictable renewable energy sources, inside a single control region. Additionally, there are hydropower plants in another control area. Renewable energy sources encompass wind power, solar thermal energy, and fuel cells. To simulate a realistic situation, the thermal and hydro systems are equipped with a generation rate constraint (GRC) and a governor dead band (GDB). Furthermore, the turbine incorporates boiler dynamics (BD), and both control regions experience a stochastic variation in load. Extensive simulations have shown that the Fuzzy FOPID control structure has superior performance compared to FOPID and PID controllers, as measured by the performance index. Robustness may be demonstrated by doing sensitivity analysis on system parameters, including the speed control parameter, GDB, GRC, and random load perturbation, for substantial changes. Moreover, the system’s performance has been assessed, considering the delay in communication, which significantly degrades the performance. Extensive simulations have shown that the fuzzy-based FOPID controller surpasses other controllers in terms of resilience and accuracy. Therefore, it may be considered a practical solution to the load frequency control problem.
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    Load Frequency Control of a Nonlinear Power System via Demand Response Control Strategy Based Fractional Order Fuzzy Controller
    (IEEE, 2020) Mishra, Puneet
    Effective frequency regulation can be severely hampered due to nonlinear components and channel delay in control loops of interconnected power systems. Currently employed conventional control techniques for regulating such systems often succumb to these associated complexities, thereby rendering the interconnected power system's unsatisfactory operation. To address these issues, this article presents an innovative methodology for effective frequency regulation by hybridizing intelligent control architecture with a demand response control strategy (DRCS). The utilized intelligent control architecture, based on fractional order fuzzy logic controller, effectively handles the uncertainties and nonlinearities in the control loop components. DRCS incorporates a smart load utilization for the swift restoration of nominal frequency, aiming to reduce the effort taken by secondary controllers. Further, to verify the proposed hybrid control configuration's effectiveness, extensive investigations are carried out, post optimal tuning of all the considered control architectures by a recently proposed improved bioinspired optimization algorithm. Based on the carried out investigation, a comparative study has been drawn amongst the proposed control scheme's performance and other recently devised inline control methods, i.e., fractional order PID (FOPID) and a fractional order fuzzy FOPID controller without DRCS. The proposed control scheme provided superior performance even under the presence of significant nonlinearities, uncertainties, and channel delay in the control loop.
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    Enhancing the performance of a deregulated nonlinear integrated power system utilizing a redox flow battery with a self-tuning fractional-order fuzzy controller
    (Elsevier, 2022-02) Mathur, Hitesh Datt; Mishra, Puneet
    Load frequency regulation is one of the most vital and complex ancillary services in a deregulated power system. Increasing penetration from renewable energy sources in an integrated power system (IPS) further escalates the related control complexity due to a considerable decrement in IPS’s effective inertia. This may incur additional costs and can even lead to the destabilization of IPS. To overcome these problems in frequency regulation, this work proposes and investigates the use of an intelligent, direct adaptive control scheme, i.e., self-tuning fractional order fuzzy PID (STFOFPID) controller with and without the presence of a recently devised energy storage unit, i.e., the redox flow battery. The IPS’ efficacy with the STFOFPID controller is validated for various contracts in a deregulated operation mode for considered three area IPS. Extensive simulation studies are carried out, and detailed comparative studies have been drawn with conventional PID and fractional order PID controllers for load frequency regulation in Poolco, bilateral, and contract-violation mode of operation. Robustness analysis in terms of parametric variations in different nonlinearities present in a reheated thermal power plant is also carried out, and the efficacy of the STFOFPID controller is established using a thorough quantitative comparative analysis. The real-time digital simulation validation of the investigated control structure has been carried out on OPAL-RT 4150 based on Xilinx Kintex-7 FPGA board with INTEL multi-core processor.