Control System
Renewable Energy Integration
Power Electronics
Metaheuristic Optimization
Power System Protection
Power system protection
Nonlinear controller design
Optimizing the parameters of nonlinear controller using metaheuristic optimization
Title: Improved Voltage Tracking of Autonomous Microgrid Technology Using Combined Resonant Controller with Lead-Lag Compensator Adopting Negative Imaginary
Supervisor name: Dr. Tanvir Ahmed, Dept. of EEE, RUET
Supervisor Profile link: Website
Widespread utilization of distributed generation units at distant places pave the way of microgrid (MG) technology. Whenever the MG system operates independently, i.e. in autonomous mode, unpredictable characteristics of various loads and uncertainties make the whole system unstable. So as to getting flexible and sound operations of autonomous MG, a rigid control mechanism is requisite. In this thesis paper, a robust high-performance controller is acquainted to ameliorate the performance of precise voltage tracking of the MG system and to eliminate the instability problems. Here, a combination of a resonant controller and a lead-lag compensator in positive position feedback path, is designed which obey the negative imaginary (NI) theorem, for both single phase and three phase autonomous MG systems. This controller has excellent performance, which is investigated through various uncertainties accompanying with different load dynamics. Feasibility and effectiveness of this controller are also ascertained with a comparative analysis with some well-known controllers named as linear quadratic regulator controller, model predictive controller and NI approached resonant controller, which acknowledge the superiority of the designed controller in all aspects.
In a word, main focus of this work is, to control the output voltage in such a manner so that, it tracks the reference voltage considering lowest magnitude and phase error as well as THD, despite facing different uncertainties, nonlinearities and unknown dynamics of loads.
Title: Design of Metaheuristic Optimization Based Optimal Sliding Mode Controllers for Arc Suppresion Devices
Supervisor Name: Dr. Md. Rafiqul Islam Sheikh, Dept. of EEE, RUET
Supervisor Profile Link: Website
In a resonant grounded distribution system, to attain complete arc suppression caused by the single-line-to-ground fault, voltage control based arc suppression devices (ASD) are used, where, the neutral-to-ground voltage is made equal to the exact opposite of the phase-to-neutral voltage of the faulty phase by precision control of an inverter. To achieve this, an input-output feedback linearized model is developed in this work for the neutral voltage control mechanism of the ASD. Based on the proposed model, an improved global fast terminal sliding model control (GFTSMC) optimized by the Archimedes optimization algorithm (AOA) is proposed in this work. To prove the efficacy of the proposed control system, three additional AOA optimized sliding mode controllers, named proportional-integral (PI) sliding surface type SMC, nonsingular terminal SMC (NTSMC), and nonsingular fast terminal SMC (NFTSMC) are designed. Motivated by the balancing between the exploration and exploitation phases of the algorithm, AOA is employed to obtain the optimal parametric values for the sliding surface and switching mode gains by minimizing an integral time absolute rms fault current objective function. The aforementioned controllers are optimized with particle swarm optimization (PSO) too, and the superiority of the AOA for this application is confirmed. Additionally, PI and PR controllers are also designed based on these two optimization algorithms for the RGDS. All the designed SMCs outperformed several linear and nonlinear controllers proposed thus far in terms of attaining lower faulty phase voltage and fault current. Though all the designed linear and nonlinear controllers can limit the fault voltage to 27.43 V under a variety of fault resistances, in the case of the AOA-GFTSMC, it is within 17.12 V .
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