Higher Order Sliding Mode Observer Based Fast Composite Back stepping Control for HESS in DC Micro grids

Also Available Domains Microgrids|

Project Code :TEPGPS928

Objective

The main objective of this research is to develop a robust and efficient control strategy for Hybrid Energy Storage Systems (HESS) in DC micro grids using a Higher-Order Sliding Mode Observer (HOSMO) integrated with a fast composite back stepping control method. This approach aims to improve system stability by minimizing voltage fluctuations and steady-state errors.

Abstract

Hybrid energy storage system (HESS) is effective to compensate for fluctuation power in renewables and fast fluctuation loads in DC micro grids. To regulate DC bus voltage, a power management strategy is an essential issue. In the meantime, the increasing integration of constant power loads (CPLs) in DC micro grids brings great challenges to stable operation due to their negative incremental impedance. In this paper, a fast composite back stepping control (FBC) method is proposed for the HESS to achieve faster dynamics, smaller voltage variations, and large signal stabilization. In the FBC method, a higher order sliding mode observer (HOSMO) is adopted to estimate the coupled disturbances. Furthermore, the FBC method is integrated with the droop control; so that the FBC-based decentralized power allocation (FBC-DPA) strategy for HESS in DC micro grids is developed. The proposed FBC method is designed based on the Lyapunov function to ensure its stability. Moreover, the design guidelines are provided to facilitate the application of the proposed method. Both simulation and experimental studies under different operating scenarios show that the proposed method achieves faster voltage recovery and smaller voltage variations than the conventional back stepping control method.

Keywords: Back stepping control, higher order sliding mode observer, hybrid energy storage system, dc micro grid.

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Block Diagram

Specifications

Software Configuration:

Operating System     : Windows 7/8/10

Application Software: Matlab/Simulink

Hardware Configuration:

RAM                           : 8 GB / 4 GB (Min)

Processor                     : I3 / I5 (Mostly prefer)

Learning Outcomes

·         Introduction to Matlab/Simulink

·         What is EISPACK & LINPACK

·         How to start with MATLAB

·         About Matlab language

·         About tools & libraries

·         Application of Matlab/Simulink

·         About Matlab desktop

·         Features of Matlab/Simulink

·         Basics on Matlab/Simulink

·         Introduction to DC MICRO GRID

·         Design of  HESS

·         Design of  HOSOM

·         Introduction to Battery

·         Introduction to Super Capacitor

·         Introduction to pulse width modulation

·         Project Development Skills:

o   Problem analyzing skills

o   Problem solving skills

o   Creativity and imaginary skills

o   Programming skills

o   Deployment

o   Testing skills

o   Debugging skills

o   Project presentation skills

o   Thesis writing skills

 

Demo Video