The impacts of control systems on hybrid energy storage systems in remote DC-Microgrid system: A comparative study between PI and super twisting sliding mode controllers

Amine, Hartani Mohamed; Mouaz, Al Kouzbary; Messaoud, Hassani; Abdelkhalek, Othmane; Mekhilef, Saad

doi:10.1016/j.est.2021.103586

Cited by 22 publications

(7 citation statements)

References 55 publications

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“…However, chattering remains an issue in practical applications, stemming from highfrequency fluctuations near the sliding surface. Recent solutions to the chattering problem include nonsingular fast terminal (NSFT) SMCs [32], super-twisting SMCs [33][34][35][36], and reaching law-based solutions [37][38][39][40]. Among these, the switching law-based approach, focusing on the reaching phase of SMC techniques, appears promising for effectively addressing the chattering problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a High-Order Sliding Mode Controller for Photovoltaic- and Battery Energy Storage System-Based DC Microgrids with ANN-MPPT

Roy,

Oo,

Ghosh

2024

Energies

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This paper introduces a robust proportional integral derivative higher-order sliding mode controller (PID-HOSMC) based on a double power reaching law (DPRL) to enhance large-signal stability in DC microgrids. The microgrid integrates a solar photovoltaic (SPV) system, an energy storage system (ESS), and DC loads. Efficient DC-DC converters, including bidirectional and boost converters, are employed to maintain a constant voltage level despite the lower SPV output power. An artificial neural network (ANN) generates the optimal reference voltage for the SPV system. The dynamical model, which incorporates external disturbances, is initially developed and based on this model, and the PID-HOSMC is designed to control output power by generating switching gate pulses. Afterwards, Lyapunov stability theory is used to demonstrate the model’s closed-loop stability, and theoretical analysis indicates that the controller can converge tracking errors to zero within a finite time frame. Finally, a comparative numerical simulation result is presented, demonstrating that the proposed controller exhibits a 58% improvement in settling time and an 82% improvement in overshoot compared to the existing controller. Experimental validation using processor-in-the-loop (PIL) confirms the proposed controller’s performance on a real-time platform.

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Section: Literature Reviewmentioning

confidence: 99%

Designing a High-Order Sliding Mode Controller for Photovoltaic- and Battery Energy Storage System-Based DC Microgrids with ANN-MPPT

Roy,

Oo,

Ghosh

2024

Energies

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“…A power electronic inverter control is developed in [93,94] to synchronize frequency and voltage through an EMS by reducing the vulnerability voltage and frequency deviations to a tolerable range in the power network. In [95], opposition learning is used to optimize the scheduling of distributed generators in a microgrid through kho kho optimization.…”

Section: Energy Management Systemsmentioning

confidence: 99%

Enhancing Microgrid Stability and Energy Management: Techniques, Challenges, and Future Directions

Safder,

Sanjari,

Hamza

et al. 2023

Energies

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Microgrid technology offers a new practical approach to harnessing the benefits of distributed energy resources in grid-connected and island environments. There are several significant advantages associated with this technology, including cost-effectiveness, reliability, safety, and improved energy efficiency. However, the adoption of renewable energy generation and electric vehicles in modern microgrids has led to issues related to stability, energy management, and protection. This paper aims to discuss and analyze the latest techniques developed to address these issues, with an emphasis on microgrid stability and energy management schemes based on both traditional and distinct approaches. A comprehensive analysis of various schemes, potential issues, and challenges is conducted, along with an identification of research gaps and suggestions for future microgrid development. This paper provides an overview of the current state of the field and proposes potential areas of future research.

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“…As vital components in power systems, various energy storage technologies are essential resources to ensure the autonomy of stationary power systems such as MGs [5,6] and advanced vehicles [7,8], including terrestrial, marine, and air automobiles [6,9,10].…”

Section: Introductionmentioning

confidence: 99%

“…In [14,15], several topologies and control methods of non-isolated DC-DC converters in RE applications were reviewed. Numerous contributions are addressed in the literature for HESS control and EMS [16], including model predictive control (MPC) [17][18][19], a fuzzy logic controller (FLC) [20], optimal LQR [21], and CPI versus super-twisting sliding mode controllers (ST-SMCs) [5].…”

Section: Introductionmentioning

confidence: 99%

Robust Frequency-Decoupling-Based Power Split of Battery/Supercapacitor Hybrid Energy Storage Systems in DC Microgrids

Hartani

Messaoud

Abdelkhalek

et al. 2023

The 1st International Conference on Physics of Semiconductor Devices, Renewable Energies and Environment

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The impacts of control systems on hybrid energy storage systems in remote DC-Microgrid system: A comparative study between PI and super twisting sliding mode controllers

Cited by 22 publications

References 55 publications

Designing a High-Order Sliding Mode Controller for Photovoltaic- and Battery Energy Storage System-Based DC Microgrids with ANN-MPPT

Designing a High-Order Sliding Mode Controller for Photovoltaic- and Battery Energy Storage System-Based DC Microgrids with ANN-MPPT

Enhancing Microgrid Stability and Energy Management: Techniques, Challenges, and Future Directions

Robust Frequency-Decoupling-Based Power Split of Battery/Supercapacitor Hybrid Energy Storage Systems in DC Microgrids

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