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Author: search.filters.author.Mathur, Hitesh DattSubject: search.filters.subject.PID Controller

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    Development of a Novel Strategy with Electrical Vehicles to Mitigate Frequency Aberration in Microgrid
    (IEEE, 2018) Mathur, Hitesh Datt
    Power system complexity is growing rapidly with changing scenario of load characteristic. Microgrid is a feasible solution to cater to varying load for maintaining power quality parameters especially frequency and voltage. The microgrid, consisting of different types of intermittent sources and loads, is liable to a substantially high frequency aberration. This needs to be mitigated at a faster rate in order to supply quality power supply to consumers. This paper focuses on development of a novel control strategy for quick active power support by electric vehicles (EV) to suppress frequency deviation caused due to fluctuating load. This approach senses the frequency change and communicates with EV aggregator to supply required amount of active power to microgrid. It is simulated on MATLAB/Simulink platform and results obtained are encouraging in terms of critical parameters i.e. settling time and peak over/undershoot
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    Decentralized Frequency Control for an Isolated Microgrid using Nature Inspired Algorithms
    (IEEE, 2019) Mathur, Hitesh Datt
    This paper focuses on developing a decentralized control scheme for a microgrid (MG) to mitigate varying load perturbations. The proposed microgrid system consists of various independent generation systems, including solar, wind, a diesel engine generator, a fuel cell, a battery energy storage, an aqua electrolyzer, and a flywheel. A proportion-integral control scheme has been deployed for controlling each of the sources independently as all sources have different characteristics. The parameters (Kp and Ki) of each of the controller were tuned by three different nature-inspired algorithms. The advantage of having decentralized controller is to increase reliability and robustness of the system. Even if any controller fails to work, it may be ensured that frequency regulation is achieved by others. The algorithms used for optimizing controller parameters are genetic algorithm (GA), bacterial foraging (BF) and firefly algorithm (FA).
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    A Comparison on PSO Optimized PID Controller for Inter-Area Oscillation Control in an Interconnected Power System
    (Springer, 2022-02) Mathur, Hitesh Datt
    This paper emphasizes on the development of control strategy for inter area oscillation suppression for a unified two-area hydro-thermal deregulated power system. A particle swarm optimization (PSO) optimized Proportional Integral Derivative (PID) controller is proposed for automatic generation control (AGC). Further comparison between different variants of PSO are carried out, where 6 different variants have been explored, which are success rate based PSO, evolution speed and aggregation degree factors based PSO, global-local best inertia weight based PSO, distance from global best based PSO, fixed inertia weight based PSO and varying acceleration coefficients based PSO. A comprehensive analysis of these optimization techniques are presented on the basis of major dynamic performance parameters, i.e. settling time and peak overshoot. Successive rate based PSO variant found best among these six variants.