Nonlinear Adaptive Backstepping Controller Design for Islanded DC Microgrids

Roy, T. K.; Mahmud, M. A.; Oo, Amanullah Maung Than; Haque, M. E.; Muttaqi, Kashem M.; Mendis, Nishad

doi:10.1109/tia.2018.2800680

Cited by 108 publications

(47 citation statements)

References 39 publications

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“…For convenience, the time index t is omitted. This technique can be applied using an acceptable control scheme using the Lyapunov technique [27]- [29]. With this controller, the PV voltage applied to the DC cable follows the reference voltage by acting on the duty cycle of the boost converter switch.…”

Section: K Proof Of the Theoremmentioning

confidence: 99%

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Electro-Hydrodynamic Design of an Intelligent Balloon Water Gate Controlled by an Efficient Maximum-Power-Seeking Controller for a Solar Generation System

et al. 2019

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The intelligent balloon water gate (IBWG) invention is a hydraulic gate model made of reinforced plastic that controls the water level (WL) downstream or upstream of a barrage. The IBWG automatically inflates and deflates by compressed air to close and open the water passage, respectively. The whole design consists of a balloon, a waterway, sensors, an air compressor, a control panel, an electrical circuit and a photovoltaic generation (PVG) system. The Tyass barrage in Iraq was considered as a case study. The Tyass barrage was built with concrete and four sliding steel water gates and redesigned using the IBWG. The originality of the current research resides in the combination of the IBWG mechanism with an efficient maximum power point (MPP) seeking controller for a photovoltaic generation system, which is one of the most promising sources of renewable energy in the world. To the best of our knowledge, in this field, this scenario has not yet been discussed in detail. Upper and lower water sensors are used to control the IBWG. The upper sensor sends a signal to the control panel when the downstream water level reaches its maximum value to open the air inlet valve and close the outlet valve, inflating 14 IBWGs with a volume of 3.5 m 3 under 122 psi of pressure and closing the water passage. When the WL decreases below the minimum level, the lower sensor initiates the opposite procedure. The air compressor automatically fills the air tank to 181 psi and is supplied by a 24 VDC AGM rechargeable battery with a capacity of 40-60 Ah, which is charged by four solar panels connected in parallel and exposed to an average of 8.8 hrs/day of sunshine. The proposed MPP-seeking controller was implemented by a backstepping design coupled with the grey wolf mechanism. The solar irradiance data were observed 39 years ago. The proposed controller is capable of following the MPP with minimum oscillations under an external irradiance variation. The IBWG system is verified at night or during the early morning when the sun is not active. Nevertheless, it is possible to store compressed air in an auxiliary tank to avoid emergencies such as partial shading conditions. INDEX TERMS Electro-hydrodynamic rubber water gate, PVG system, backstepping technique, grey wolf optimization, lyapunov stability.

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Section: K Proof Of the Theoremmentioning

confidence: 99%

“…This represents the difference between the virtual control and its reference signal. By substituting (31) into (29), the first error dynamics become:…”

Section: K Proof Of the Theoremmentioning

confidence: 99%

Electro-Hydrodynamic Design of an Intelligent Balloon Water Gate Controlled by an Efficient Maximum-Power-Seeking Controller for a Solar Generation System

et al. 2019

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“…In [30,31], centralized robust and optimal controllers are reported for stability issues in DC micro-grid, however the effects of communication link such as network delays and its failure have not investigated. In [32][33][34][35][36][37][38] several other nonlinear control methods have been proposed with energy management units but all the presented methods are integer order. Fractional order controllers offer additional advantages over integer order controllers such as high degree of freedom.…”

Section: Introductionmentioning

confidence: 99%

Super Twisting Fractional Order Energy Management Control for a Smart University System Integrated DC Micro-Grid

et al. 2020

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This paper designs an intelligent energy management control for a stand alone smart DCmicro-grid using super twisting fractional order method. Based on mathematical model of the micro-grid, controllers are derived for the source side converters such as photovoltaic (PV),wind, AC grid and battery management system, and load side converters. Based on the available measured input and consumed output power, an intelligent energy management algorithm decides the appropriate mode of operation for the source and load side converters controller.All DC loads connected to the micro-grid are treated as essential loads and no load shedding can be allowed by the energy management unit. The energy management unit prioritizes the renewable energy sources (PV and wind) in order to make the micro-grid as cost effective. The performance of the proposed control scheme is compared with the integer order controller and the system is simulated in MATLAB/SIMULINK environment for different test cases.

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“…Serna-Garces et al 29,30 proposed SMC techniques for DC bus voltage regulation under varying power conditions in a standalone power system comprising RERs with battery storage. Roy et al 31,32 proposed a nonlinear backstepping control method for islanded DCMG operations. The method improves power-sharing between DCMG components to address demand-generation disparity, maintains SoC within limits, and regulates DC bus voltage.…”

Section: Introductionmentioning

confidence: 99%

Variable structure control for dynamic power‐sharing and voltage regulation of DC microgrid with a hybrid energy storage system

Singh¹,

Lather

2020

Int Trans Electr Energ Syst

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Summary This study proposed a novel method based on variable structure control for sharing power between battery and supercapacitor (SC) energy storage devices to address demand‐generation disparity and DC bus voltage regulations. It allows for moderate and fast compensations using hybrid energy storage devices, ranging from batteries to fast SCs controlled by battery current error signals. The proposed method using hybrid energy storage devices controlled by proportional integral (PI) and variable‐structured controllers enhances DC bus regulations with the reduced stress levels of batteries. Furthermore, redirecting unwaged battery currents toward SCs for fast compensation enhances the lifespan of batteries. The effectiveness of the method has been analyzed using simulations and compared with a conventional control method in terms of peak DC bus voltage deviations. The results were experimentally validated using a real‐time hardware‐in‐loop (HIL) simulator based on a field‐programmable gate array.

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Nonlinear Adaptive Backstepping Controller Design for Islanded DC Microgrids

Cited by 108 publications

References 39 publications

Electro-Hydrodynamic Design of an Intelligent Balloon Water Gate Controlled by an Efficient Maximum-Power-Seeking Controller for a Solar Generation System

Electro-Hydrodynamic Design of an Intelligent Balloon Water Gate Controlled by an Efficient Maximum-Power-Seeking Controller for a Solar Generation System

Super Twisting Fractional Order Energy Management Control for a Smart University System Integrated DC Micro-Grid

Variable structure control for dynamic power‐sharing and voltage regulation of DC microgrid with a hybrid energy storage system

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