Performance Evaluation of Hybrid Power System Incorporating Electric-Vehicles
DOI:
https://doi.org/10.13052/dgaej2156-3306.3748Keywords:
Hybrid power system, load frequency control (LFC), integral double derivative (IDD) controller, electric vehicle (EV), magnetotactic bacteria optimization (MBO), automatic voltage regulator (AVR).Abstract
State-of-the-art: The present study broadly addresses the performance analysis of a hybrid power system with the inclusion of modern day electric vehicles (EV) and renewable energy sources. Generations in the form of conventional-thermal, diesel-plant, solar-thermal for the hybrid power system as well as EVs establish a concurrent regulation of system frequency, voltage and corresponding tie-lie power. The effective power management for the power system is established in such a way that EV realizes the battery management system integrated with the utility grid. The instantaneous control and management capability of a grid-connected EV are the main attractive features that are highlighted in this work. Small signal stability study of the developed hybrid power system is investigated through Eigen-value analysis.
Methods & Outcomes: For anticipated performance enhancement for the developed hybrid power system, the parameters are adjusted using a dominant magnetotactic-bacteria optimization (MBO) technique. The performance of MBO optimized controller for effective control of system dynamic responses are validated in this study. Sensitivity tests involving large deviations beyond nominal values of system components validate the reliability of the hybrid power system. The role of EV in terms of power control and management has been successfully demonstrated. The stability of the controlled power system is verified using Eigen-value analysis. The role of EVs help to improve system stability is also proved.
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