A nonlinear double‐integral sliding mode controller design for hybrid energy storage systems and solar photovoltaic units to enhance the power management in DC microgrids

Ghosh, Subarto Kumar; Roy, T. K.; Pramanik, M. A. H.; Mahmud, M. A.

doi:10.1049/gtd2.12437

Cited by 15 publications

(5 citation statements)

References 37 publications

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“…Let us consider t MRL as the reaching time for Equation (13). Now, by integrating both sides of Equation ( 23) from zero to t MRL , the following equation can be obtained:…”

Section: Reachability Analysismentioning

confidence: 99%

“…When there is insufficient power from the solar PV to satisfy load demands, an ESS will supply the shortage power to the DC-bus to maintain the power balance. Furthermore, when there is extra power after meeting the load demands, the excess power will be stored in the ESS [9,13]. However, to achieve this goal, an ESS must be connected to a BDDC to operate it in boost or buck modes depending on its state of charge and the DC-bus voltage state [14].…”

Section: Introduction 1background and Motivationmentioning

confidence: 99%

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Design of Robust Integral Terminal Sliding Mode Controllers with Exponential Reaching Laws for Solar PV and BESS-Based DC Microgrids with Uncertainties

2022

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In this paper, an integral terminal sliding mode controller (ITSMC) based on a modified exponential reaching law (MERL) is developed for providing large-signal DC-bus voltage stability while smoothing power flow in DC microgrids (DCMGs). It is worth mentioning that this control approach is not employed in DCMG applications yet to adjust the DC-bus voltage while preserving power balance. The proposed DCMG is made up of a solar photovoltaic (PV) unit, a battery energy storage system (BESS), and DC loads. A DC-DC boost converter (DDBC) and a bidirectional DC-DC converter (BDDC) are employed to connect the solar PV and BESS, respectively, with the DC-bus, which not only controls the output power of these units but also regulates the DC-bus voltage. First, a detailed dynamical model including external disturbances is developed for each component, i.e., the solar PV and BESS. Then, the proposed control approach is employed on these units to get their corresponding control signals. Afterward, the overall stability of each unit is ensured using the Lyapunov stability theory. Moreover, to ensure the robustness of the proposed controller, external disturbances are also bounded based on the value of user-defined constants. Finally, simulation results are used to evaluate the effectiveness of the proposed control approach in a variety of operational scenarios. Additionally, simulation results of the proposed control strategy are compared to those of existing controllers to demonstrate its superiority.

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“…Let us consider t MRL as the reaching time for Equation (13). Now, by integrating both sides of Equation ( 23) from zero to t MRL , the following equation can be obtained:…”

Section: Reachability Analysismentioning

confidence: 99%

Section: Introduction 1background and Motivationmentioning

confidence: 99%

Design of Robust Integral Terminal Sliding Mode Controllers with Exponential Reaching Laws for Solar PV and BESS-Based DC Microgrids with Uncertainties

2022

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“…As such, finding effective methods to control these converters has been a key area of research in recent years [5]. Various control strategies, such as proportional-integral-derivative (PID) [6], sliding mode control [7], fuzzy logic control [8], H∞ [9,10], and model predictive control (MPC) [11], are recently reported for this purpose. Although these methods have proven effective, cer-tain control challenges still remain unresolved.…”

Section: Introductionmentioning

confidence: 99%

A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loads

Tatari,

Banejad,

Kalat

2023

IET Renewable Power Gen

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Here, a move blocking (MB) based direct voltage model predictive control (DVMPC) strategy is introduced to enhance the dynamic performance of a DC microgrid in presence of constant power loads (CPLs). For this aim, an automatic discrete dynamic model is first developed for a boost converter. Considering the CPL effects on the dynamic model of the boost converter, a model predictive control is then designed to directly regulate the output voltage of the converter. Move blocking strategy is finally integrated into DVMPC in order to extend the prediction horizon, and consequently, dealing with the non‐minimum phase characteristic of the boost converter. The dynamic performance of the boost converter with a CPL load in both continuous conduction mode (CCM) and discontinuous conduction mode (DCM) is evaluated using MB‐based DVMPC and traditional control strategies. The simulation results conducted using MATLAB/Simulink demonstrate that the proposed approach not only enhances the dynamic performance of the DC microgrid, but also reduces the computational burden on the processor. Moreover, experimental results have been performed to validate the proposed strategy. Finally, the stability analysis of the proposed direct voltage control is provided.

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“…While significant efforts have been devoted to studying different aspects of MGs, including modelling, protection, controller design, and regulation analysis [13], challenges arise in control design as more distributed generators (DGs) are interconnected within a common DC bus, especially when variable RESs like solar PV are introduced.…”

Section: Introductionmentioning

confidence: 99%

Accurate voltage regulation for a DC microgrid using nonlinear state feedback controller

Arabshahi,

Saeidinia,

Torkaman

2023

IET Generation Trans & Dist

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The high penetration of distributed generation systems poses challenges in effectively managing both DC bus voltage and power‐sharing in DC microgrids (MGs). To ensure precise voltage regulation across various distributed generation systems and maintain overall system stability, this paper studies the modelling and control of an islanded DC MG described by a set of nonlinear‐nonaffine differential equations. In the proposed DC MG, a battery storage, a photovoltaic (PV) power plant, and a back‐end power converter with DC loads have been connected to a common DC bus. First, a dynamic model of a DC MG was developed. Then, to find the maximum power point of solar PV, a straightforward method based on an artificial neural net is employed. Afterward, a nonlinear local state feedback controller through output regulation theory is applied to achieve voltage stability, overcoming the drawbacks of droop‐based techniques. Moreover, partial state feedback capability simplifies controller design. To verify the effectiveness of the proposed approach, various scenarios, including sudden load variation, illumination change, and changes in the MG configuration, have been examined. Finally, numerical studies were carried out in a simulation environment to demonstrate the superiority of the proposed nonlinear control scheme over constant feedback control.

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A nonlinear double‐integral sliding mode controller design for hybrid energy storage systems and solar photovoltaic units to enhance the power management in DC microgrids

Cited by 15 publications

References 37 publications

Design of Robust Integral Terminal Sliding Mode Controllers with Exponential Reaching Laws for Solar PV and BESS-Based DC Microgrids with Uncertainties

Design of Robust Integral Terminal Sliding Mode Controllers with Exponential Reaching Laws for Solar PV and BESS-Based DC Microgrids with Uncertainties

A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loads

Accurate voltage regulation for a DC microgrid using nonlinear state feedback controller

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