Department of Electrical and Electronics Engineering
Permanent URI for this collectionhttp://localhost:4000/handle/123456789/1925
Browse
5 results
Search Results
Item Development of a Novel Strategy with Electrical Vehicles to Mitigate Frequency Aberration in Microgrid(IEEE, 2018) Mathur, Hitesh DattPower 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/undershootItem Investigation of Virtual Inertia Topologies Considering Energy Storage Systems and Multi-Resource Virtual Power Plant(IEEE, 2022) Mathur, Hitesh DattDue to the high penetration of renewable energy sources (RES) into the power system, the distributed generators lack the rotating component to emulate inertia leading to frequency fluctuations. In this paper, multi-resource virtual power plant (VPP) with electric vehicle (EV) and data center (DC), with their batteries as energy storage systems (ESS) is considered to compensate for frequency fluctuations. Further case study of irradiance and load fluctuation is considered, which supports the frequency in a grid-connected microgrid with PV and a hydroelectric generator. Frequency support has been evaluated using three different techniques: conventional droop control, the frequency derivative model of the virtual synchronous generator (VSG) method, and the swing equation model of VSG. Comparison has been performed using multi-resource VPP, and it is observed that the VSG technique shows better performance compared to the droop approach while providing frequency support to the considered system.Item Electric Vehicle Impact Analysis in a Microgrid Using Optimized Bio-Inspired Non-Integer Controller(IEEE, 2019) Mathur, Hari OmDuring 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.Item Frequency Excursion Mitigation in a Multi-source Islanded Energy System Using Meta-Heuristic Optimization Strategies(IEEE, 2020) Mathur, Hitesh DattDistributed 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.Item Robust Controller Synthesis for Frequency Regulation in Islanded Microgrid(IEEE, 2017) Mathur, Hitesh Datt; Bhanot, SurekhaFrequency regulation in MG using conventional PID controllers becomes more challenging in the presence of stochastic load and uncertainty in system parameters caused by dynamic perturbation. So, there is a need for a robust controller with acceptable performance and stability for regulating the frequency in MG. The dynamic perturbations include changes in inertia constant and damping coefficient of the power system, which directly affect the frequency of the MG. In this paper, structured H∞ synthesis has been done for robust frequency control in islanded MG. The sources used in MG for compensating the load demand are fuel cell, diesel engine generator and micro-turbine. The robustness and performance of H∞ based controller is validated in the presence of parametric uncertainty and load disturbance caused by stochastic nature of load. The synthesized H∞ based controller is tested for robust stability and performance against ± 50% perturbation of inertia constant and damping coefficient of power system. Simulation results of complete system is also validated with hardware using dSPACE 1104 and control desk