BITS Faculty Publications
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Item Fuzzy-based fractional order control for effective frequency regulation(IEEE, 2025-05) Mishra, Puneet; Mathur, Hitesh DattThe 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.Item Frequency stabilization using fuzzy logic based controller for multi-area power system in deregulated environment(CSIRO, 2008-03) Mathur, Hitesh DattIn this paper, a fuzzy logic controller is proposed for load frequency control problem of electrical power system. The fuzzy controller is constructed as a set of control rules and the control signal is directly deduced from the knowledge base and the fuzzy inference. The study has been designed for a two area interconnected power system. A comparison among a conventional proportional integral (PI) controller, some other fuzzy gain scheduling controllers and the proposed fuzzy controller is presented and it has been shown that proposed controller can generate the best dynamic response following a step load change. Robustness of proposed controller is achieved by analyzing the system response with varying system parameters.Item Wind power inertial support for inter-area oscillations suppression with fuzzy controller in varying load conditions(IEEE, 2013) Mathur, Hitesh DattWind power is emerging renewable energy technology in the recent power system scenario and can be developed as viable options for electricity generation in future. The wind power generation system does not provide inertia and isolates from the grid during disturbances but this possibility will be mitigated if wind power generators also contribute to system inertia. This paper analyses the participation of a doubly fed induction generator based wind turbine in inertial support for reducing frequency and tie-line power oscillations. The proposed control scheme with fuzzy logic uses frequency deviations to provide fast active power support, which arrests the fall in frequency and tie-line power during transient conditions. The simulation studies have been conducted in a two-area interconnected power system in restructured environment to demonstrate the contribution of the doubly fed induction generator in inter-area oscillation suppression.Item Power–frequency balance with superconducting magnetic energy storage using optimized intelligent controller(Energetika, 2014) Mathur, Hitesh DattThis paper presents an optimized design of the fuzzy logic controller (FLC) for the two-area interconnected power system to regulate the frequency deviation and power deviations when subjected to change in load. The developed power system model apart from having conventional sources also has a superconducting magnetic energy storage (SMES) unit which is capable of storing electric energy and releases it as per system requirements. SMES is used to support short-term active power in order to maintain power–frequency balance in the system under test. This two-area power system considered comprises reheat thermal and hydro units of the same capacity in each area. In the proposed control scheme, optimization of the FLC is carried out in four different steps: the first step is for optimization of the range of input and output variables, the second one for membership functions, the third and fourth steps for rule base and rule weight optimization, respectively. Genetic algorithm (GA) is used for the proposed step-by-step optimization process. Comparing the other methods available in literature, the proposed method is found more effective in achieving optimal results. Simulation results are also tabulated as a comparative performance in view of the main performance indices, i. e. settling time and peak undershootItem Comparative Dynamic Analysis on Frequency Stabilization for Multi-Area power system in Deregulated Environment(IEEE, 2012) Mathur, Hitesh DattThis paper attempts to develop a linearized model of load frequency control (LFC) for an interconnected reheat type two-area thermal power system under deregulated environment. A conventional Integral controller is optimized using ISE optimization technique. A comparison between a conventional optimized integral controller and a fuzzy logic based controller is presented and the proposed fuzzy based controller is shown to generate the improved dynamic response following a step load change with combination of poolco and bilateral contracts in deregulated environment. In addition, performance of conventional integral controller and a fuzzy logic based controller is also examined under various changes up to ±30% in system parameters.Item 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, PuneetLoad 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.Item Extended fuzzy logic based integral controller for three area power system with generation rate constraint(IEEE, 2006) Mathur, Hitesh DattIn this paper, a fuzzy logic controller is proposed for load frequency control problem of electrical power system. The fuzzy controller is constructed as a set of control rules, and the control signal is directly deduced from the knowledge base and the fuzzy inference. The study has been designed for a three area interconnected power system with generation rate constraint. Simulation results of the proposed fuzzy controller are presented and it has been shown that proposed controller can generate the best dynamic response following a step load change. Robustness of proposed controller is achieved by analyzing the system response with varying system parameters.Item Regular paper Study of Dynamic Performance of Thermal Units with Asynchronous Tie-lines using Fuzzy Based Controller(JES, 2007) Mathur, Hitesh DattThis paper investigates the load frequency control problem for a multi-area power system taking into consideration system parameter variations. This paper proposes an intelligent control scheme for load frequency control (LFC) of interconnected power systems. A fuzzy logic based integral controller is proposed for two area power system interconnected via parallel ac/dc transmission link. The simulation studies are carried out for a two area interconnected power system with reheat steam turbine for simplicity and without loss of generality. Suitable solution for load frequency control problem of two areas electrical power system is obtained by means of improving dynamic performance of power system under study. Robustness of controller is also checked by varying parameters. Simulation results indicate that the proposed control scheme work well when compared with others.Item Forecasting of solar and wind power using LSTM RNN for load frequency control in isolated microgrid(Taylor & Francis, 2020) Mathur, Hitesh Datt; Bhanot, SurekhaRenewable sources such as solar PV and wind are stochastic in nature, hence their integration with emerging isolated microgrid (MG) is challenging especially with regards to stability issues. An accurate prediction model of wind and solar sources is necessary to analyze the uncertainty in MG system and to encourage the reliable participation of wind and solar power in the energy market. The advancement in deep learning methods has made it possible to develop a multi-step forecasting model unlike shallow neural networks (SNNs). The time series forecasting using SNN and Recurrent Neural Network (RNN) suffers from the problem of vanishing/exploding gradient while training. To eliminate this problem the long short-term memory (LSTM) RNN has been used in this study for wind speed and solar irradiance prediction. The forecasted solar and wind power is applied to analyze the load frequency behavior and the response of nonrenewable sources for sudden rise and fall in load power demand and PI controller is used to mitigate frequency deviation to ensure the stability of the MG power system.Item Frequency stabilization using fuzzy logic based controller for multi-area power system(CSIRO, 2008-03) Mathur, Hitesh DattIn this paper, a fuzzy logic controller is proposed for load frequency control problem of electrical power system. The fuzzy controller is constructed as a set of control rules and the control signal is directly deduced from the knowledge base and the fuzzy inference. The study has been designed for a two area interconnected power system. A comparison among a conventional proportional integral (PI) controller, some other fuzzy gain scheduling controllers and the proposed fuzzy controller is presented and it has been shown that proposed controller can generate the best dynamic response following a step load change. Robustness of proposed controller is achieved by analyzing the system response with varying system parameters.