Department of Electrical and Electronics Engineering

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Author: search.filters.author.Mathur, Hitesh DattSubject: search.filters.subject.Fuzzy logic controller

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Now showing 1 - 10 of 16
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    An improved nonlinear deloading approach based on the fuzzy controller for wind turbine generators in an islanded microgrid
    (Elsevier, 2023-11) Mishra, Puneet; Mathur, Hitesh Datt
    The wind turbine generators (WTG’s) incapability of primary frequency support during system contingencies due to its decoupled nature from the system frequency causes profound integration and stability issues. The present study focuses on resolving such issues by enabling the WTGs to participate in long-term frequency support under the derated operation of WTGs. The deloading operation of WTGs can provide a specific reserve power margin by reducing its rotor speed, which can be utilized during system contingencies. In literature, linear and quadratic deloading techniques have been proposed but these fail to replicate the nonlinear characteristics of the WTG accurately, thereby making deloading ineffective. To effectively implement the deloading, this work uses a more-accurate higher-order Newton’s interpolation polynomial (HNIP), to cope with the highly nonlinear characteristics of WTG. The proposed deloading approach is also augmented with a fuzzy-based intelligent supplementary control structure to handle the inherent and incorporated nonlinearities in WTG. The microgrid system, consisting of a conventional energy source with WTG, has been considered as system under investigation. The integral time absolute error for step wind profile and variable speed wind profile was found to be improved by 97.65% and 97.29%, respectively, with the proposed novel deloading technique with fuzzy-PID compared to PID. Further, to ensure the implementation viability of the proposed control scheme, real-time validation of the same is carried out on OPAL-RT 4510, having a Xilinx Kintex-7 FPGA board. It was found that for all the scenarios considered for real-time digital simulation purposes, the results unerringly matched with MATLAB/Simulink.
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    Automatic Generation Control of Multi Area Interconnected Hydro-Thermal Power System with HVDC Links
    (IAES, 2012) Mathur, Hitesh Datt
    This paper investigates the effects of HVDC link in parallel with HVAC link on automatic generation control (AGC) problem for a multi area power system taking into consideration system parameter v ariations. A fuzzy logic controller is proposed for four area power system i nterconnected via parallel HVAC/HVDC transmission link which is also referred as asynchronous tie- lines. The linear model of HVAC/HVDC link is develope d and the system responses to sudden load change are studied. The si mulation studies are carried out for a four area interconnected thermal power system. Suitable solution for automatic generation control problem o f four area electrical power system is obtained by means of improving the dynamic performance of power system under study. Robustness of controll er is also checked by varying parameters. Simulation results indicate tha t the scheme works well. The dynamic analyses have been done with and withou t HVDC link using fuzzy logic controller in Matlab-Simulink. Further a comparison between the two is presented and it has been shown that the per formance of the proposed scheme is superior in terms of overshoot and settli ng time
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    Frequency stabilization using fuzzy logic based controller for multi-area power system in deregulated environment
    (CSIRO, 2008-03) Mathur, Hitesh Datt
    In 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.
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    Power frequency balance in multi-generation smart grid system with V2G option
    (IEEE, 2015) Mathur, Hitesh Datt
    In smart grid scenario, penetration of large scale renewable energy sources are increasing rapidly. This causes uncertainty among various power system parameters, mainly frequency in interconnected power system. When automatic generation control (AGC) is not sufficient to manage balance between demand and supply, battery energy storage is considered a viable option for short term active power support in order to bring frequency back to normal. In energy storage possibilities, super conducting magnetic energy storage, ultra-capacitor etc. are primarily discussed. This paper focuses on integrated model of vehicle to grid (V2G) and wind power as an alternative to supply instant power to regulate frequency when system is subjected to sudden perturbation. GA (Genetic algorithm) optimized fuzzy logic controller is used to intelligently suppress frequency and tie-line power oscillations. Results obtained are comprehensively presented and discussed in achieving power-frequency balance. MATLAB/Simulink is used for the simulation purpose
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    Two Stage Optimized Fuzzy Controlled Multi-Area System for AGC in Smart Grid Age
    (Elsevier, 2015) Mathur, Hitesh Datt
    A model of two area deregulated power system with automatic generation control (AGC) is developed. Two conventional control strategies, integral controller optimized by Genetic Algorithm (GA) and Proportional derivative integral (PID) controller tuned with Ziegler-Nichols (ZN), have been compared with proposed two step GA optimized fuzzy logic controller (FLC). In proposed controller, first step optimization is carried out for range optimization with uniform scaling of membership functions of input and output variables and in second step, scaling and gain parameters of FLC are optimized. The proposed control scheme shows the better dynamic response following a step load change with combination of PoolCo and bilateral contracts in deregulated environment.
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    Wind power inertial support for inter-area oscillations suppression with fuzzy controller in varying load conditions
    (IEEE, 2013) Mathur, Hitesh Datt
    Wind 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.
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    Power–frequency balance with superconducting magnetic energy storage using optimized intelligent controller
    (Energetika, 2014) Mathur, Hitesh Datt
    This 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 undershoot
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    Frequency Stabilization for Thermal-Hydro Power System with Fuzzy Logic Controlled SMES Unit in Deregulated Environment
    (IEEE, 2014) Mathur, Hitesh Datt
    This paper deals with the Automatic Generation Control (AGC) of two-area power system with SMES unit under deregulated environment. PID controller is used for AGC, three different tuning and optimization techniques are analyzed for effectively stabilize the frequency and tie-line power oscillations and these techniques are Ziegler - Nichols tuning (ZN), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Results show PSO is more effective techniques to produce desired response. Superconducting Magnetic Energy Storage (SMES) is also emerging solution for suppression of frequency and tie-line oscillations. This paper also presents fuzzy logic controlled SMES in order to effectively suppress frequency and tie-line power oscillations. The effectiveness of proposed fuzzy logic controlled SMES justified in comparison of proportional plus integral (PI) controlled SMES.
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    Study of impact of wind power penetration on frequency stabilization in multi-area power system
    (IEEE, 2013) Mathur, Hitesh Datt
    This paper presents a comprehensive study on the wind power impact with increasing penetration on frequency stabilization in restructured power system scenario. The focus of the study is on faster and smoother settlement of frequency and tie-line power. A large penetration of wind power generation causes imbalance in power system because of its intermittent output. The wind power generation system does not provide inertia and isolates from the grid during disturbances but this possibility becomes milder if wind power generators also contribute to system inertia. The proposed control scheme with fuzzy logic uses frequency deviations to provide fast active power support, which blocks 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.
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    Comparative Dynamic Analysis on Frequency Stabilization for Multi-Area power system in Deregulated Environment
    (IEEE, 2012) Mathur, Hitesh Datt
    This 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.