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Subject: search.filters.subject.FOPID controller

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    New fractional PID-controller to mitigate frequency variations in power systems
    (MESA, 2020) Mathur, Hitesh Datt; Mathur, Trilok; Agarwal, Shivi
    In recent decades, the response of a Fractional Order Proportional Integral Derivative (FOPID) controller has become subject of interest for many researchers. From literature, it is observed that numerous studies are conducted to understand the behavior of FOPID under various operational configurations. Although promising results have been attained using the FOPID controller, it is observed that the dimensional aspects associated with it have been overlooked so far. In this regard, the present study is emphasized to develop a new FOPID controller which is dimensionally balanced. It is introduced as a Dimensionally balanced fractional order proportional integral derivative controller (DBFOPID). The proposed controller has been tested on an isolated power system. Furthermore, the optimized parametric values of the variables affecting overshoot, settling time and rise time are estimated using Particle Swarm Optimization. To evaluate the optimum values of these parameters, integral of the time-weighted absolute error performance index has been used. The conventional PID controller controlled AGC, and the proposed DBFOPID controller systems are compared.
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    Electric Vehicle Impact Analysis in a Microgrid Using Optimized Bio-Inspired Non-Integer Controller
    (IEEE, 2019) Mathur, Hari Om
    During peak hours of load demand in micro-grid (MG), the power frequency faces more excursion from a nominal value thereby deteriorating the power quality. The main idea is to utilize the EV power during peak load in to a MG system to limit the under frequency deviation and to charge the EV during off peak hours when the generation is surplus. This paper simulates a MG model in MATLAB/Simulink with EV as one of the sources using PID and fractional order PID (FOPID) controller to regulate the frequency deviation. The parameters of PID and FOPID controller are being optimized using genetic algorithm (GA) for improvement in the time response of frequency deviation of MG. The total energy model (TEM) of EV has been used for MG simulation. The optimized parameters obtained for PID, GAPID, FOPID and GAFOPID has been recorded for analysis. The GAFOPID based controller gives the better response for the defined objective function.
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    Frequency Excursion Mitigation in a Multi-source Islanded Energy System Using Meta-Heuristic Optimization Strategies
    (IEEE, 2020) Mathur, Hitesh Datt
    Distributed Energy Resources and Electric vehicles are getting more popular in the energy market. They are emerging as promising concepts that can bring a revolution in the field of energy resources and transportation systems. The integration of different renewable energy resources and electric vehicles leads to a comprehensive microgrid (MG). It is a fact that an increase in power demand leads to a drop in power frequency and vice-versa, which adversely affects the power quality of the system. Therefore, the primary idea of this research work is to regulate frequency by controlling the wind power and available EV power. In this paper, a detailed MG model is simulated in MATLAB/Simulink with wind and EV as one of the sources using fractional order PID (FOPID) controller. Further, parameters of FOPID controller is optimized by using Ant Colony Optimization(ACO) and Particle Swarm Optimization (PSO). The frequency responses, wind power, and EV power results are compared for three cases; FOPID without optimization, ACO based FOPID, and PSO based FOPID. The generalized wind model and total energy model (TEM) are used for simulating wind source and EV, respectively. Optimizer based FOPID controller provides a better response for the defined objective function.