Department of Electrical and Electronics Engineering

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End date: 2019Subject: search.filters.subject.Fuzzy logic controller

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Now showing 1 - 10 of 17
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    Comparative study of some optimization techniques applied to Jacketed CSTR control
    (IEEE, 2015-09) Mishra, Puneet
    In this paper, the performance of four optimization techniques i.e. Grey Wolf Optimizer (GWO), Backtracking Search Algorithm (BSA), Differential Evolution (DE), and Bat Algorithm (BA) have been investigated for optimizing the scaling factors of fuzzy proportional-integral controller (FPIC). Jacketed continuous stirred tank reactor (CSTR) has been considered for step set-point and trajectory tracking of reactor temperature. The present work has been simulated in LabVIEW™. The performance of aforementioned algorithms has been evaluated by comparing the cost function Integral of Absolute Error for step set-point and trajectory tracking. On the basis of simulation results, it can be inferred that, GWO outperformed other optimization algorithms for all considered cases.
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    A fractional order fuzzy PID controller for binary distillation column control
    (Elsevier, 2015-12) Mishra, Puneet
    Expert and intelligent control schemes have recently emerged out as a promising solution with robustness which can efficiently deal with the nonlinearities, along with various types of modelling uncertainties, present in different real world systems e.g. binary distillation column. This paper is an attempt to propose an intelligent control system which takes the form of a fractional order fuzzy proportional–integral–derivative (FOFPID) controller which is investigated as a solution to deal with the complex dynamic nature of the distillation column. The FOFPID controller is an extension of an existing formula based self tuning fuzzy proportional integral controller structure, which varies its gains at run time in accordance with the instantaneous error and rate of change of error. The FOFPID controller is a Takagi–Sugeno (TS) model based fuzzy adaptive controller comprising of non-integer order of integration and differentiation operators used in the controller. It has been observed that inclusion of non-integer order of the integration and differentiation operators made the controller scheme more robust. For the performance evaluation of the proposed scheme, the performance of FOFPID controller is compared with that of its integer order counterpart, a fuzzy proportional–integral–derivative (FPID) controller. The parameters of both the controllers were optimized for minimum integral of absolute error (IAE) using a bio-inspired global optimization algorithm, genetic algorithm (GA). Intensive LabVIEWۛ simulation studies were performed which included setpoint tracking with and without uncertainties, disturbance rejection, and noise suppression investigations. For testing the parameter uncertainty handling capability of the proposed controller, uncertain and time varying relative volatility and uncertain tray hydraulic constant were applied. Also, for the disturbance rejection studies, intensive simulations were conducted, which included two most common causes of disturbance i.e. variation in feed composition and variation in feed flow rate. All the simulation investigations clearly suggested that FOFPID controller provided superior performance over FPID controller for each case study i.e. setpoint tracking, disturbance rejection, noise suppression and parameter uncertainties.
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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.