Drift-Free Perturb and Observe MPPT Algorithm With Improved Performance for SEIG-Based Stand-Alone Wind Energy Generation System

Mishra, Jyotismita; Pattnaik, Monalisa; Samanta, Susovon

doi:10.1109/tpel.2019.2952324

Cited by 42 publications

(25 citation statements)

References 27 publications

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“…On the other side, for larger step sizes, oscillations increase with reduced efficiency and faster tracking. Also, this algorithm fails to search properly and moves away from MPP for sudden wind speed changes 4,26 . As shown in Figure 3, supposing the algorithm is already working at MPP1 with wind speed

v_{1}

where

V_{d c}

is at p .…”

Section: Conventional Pando Algorithmmentioning

confidence: 99%

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Experimental implementation of a novel scheduling algorithm for adaptive and modified P&O MPPT controller using fuzzy logic for WECS

Gouabi

Hazzab

Habbab

et al. 2021

Adaptive Control & Signal

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Summary This article proposes an adaptive and modified Perturb and Observe (P&O) maximum power point tracking (MPPT) algorithm, using fuzzy logic step size controller, for a wind energy conversion system (WECS) based on wound rotor synchronous generator. The modified P&O controller uses additional current information of the dc‐link, to decrease power oscillation around MPP, and choose the correct direction of the perturbation, while wind speed increase condition, depending on the sign of dc‐link current change. So, in this contribution, a modified drift‐free P&O algorithm was chosen because it gives better results, but the duty cycle step size in the proposed MPPT controller has been varied adaptively, using a fuzzy logic inference system based on the variation of the rectifier output power and the previous change of the duty cycle to get fast convergence until the MPP is reached in increasing and decreasing wind speed conditions. Performances and robustness of the proposed speed sensorless MPPT controller are evaluated in an experiment implementation, using a WECS emulator and dSpace DS1104 controller board, where experimental results show that the proposed method guarantees fast convergence with better energy quality and high robustness against speed or load change conditions.

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v_{1}

where

V_{d c}

is at p .…”

Section: Conventional Pando Algorithmmentioning

confidence: 99%

“…On the other hand, in a large step‐size, the efficiency decreases again because of oscillations around the peak. For that reason, algorithms with adaptive step‐size are needed 17,26,27 …”

Section: Introductionmentioning

confidence: 99%

Experimental implementation of a novel scheduling algorithm for adaptive and modified P&O MPPT controller using fuzzy logic for WECS

Gouabi

Hazzab

Habbab

et al. 2021

Adaptive Control & Signal

View full text Add to dashboard Cite

show abstract

“…The flow‐chart of the conventional P&O MPPT technique is displayed in Figure 3. Thus, to overcome the limitations of the conventional approach, a modified P&O MPPT approach is implemented in the present system to strengthen the solar panel operation and improve its working under all situations [17]. The flowchart of the executed MPPT control is illustrated in Figure 4.…”

Section: Control Schemementioning

confidence: 99%

Solar‐powered switched reluctance motor‐driven water pumping system with battery support

Mishra

Singh

2021

IET Power Electronics

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This work deals with the development of an efficient and reliable solar photovoltaic-fed water pump with a battery energy storage (BES). This system ensures a continuous and rated supply of water in all working conditions. A new control logic for BES is developed, which significantly improves the overall response of the system. The support of the battery as a backup source is obtained through a bidirectional DC-DC converter. Both the charging/discharging control and maximum power tracking of the solar panel are achieved through this bidirectional converter, whereas the voltage asymmetry compensation across split capacitors at DC link and motor drive controls are supervised by switched reluctance motor converter. The performance of the present scheme is examined through both simulated and experimental responses and is found adequate under all operational scenarios. 1 INTRODUCTION Among the recent renewable power sources, photovoltaic (PV) array power is often a best source and available in an endless sum [1]. The primary advantages of solar-dependent power stage incorporate clean, contamination-free, brief time establishment, and long-life operation. Some of the basic limitations of the solar system like its expensiveness, lower conversion ratio, and intermittency in solar power have been successfully overcome in recent times through advancements in solar technologies [2, 3]. Therefore, solar-powered water pumps are the most efficient way to utilise the available abundant solar power [4, 5]. Innumerable research has been carried out to develop an efficient solar-powered water pumping system (SPWPS) using various electric motor drives [4-7]. Due to the critical nature of water pumping application, there exists a need to utilise a robust, highly reliable, cost-effective, high starting torque and efficient motor drive. Since the switched reluctance motor (SRM) drive has all these required characteristics, it is emerging as one of the prominent drives for water pumping system (WPS) [8-10]. Nevertheless, various positive aspects of solar-powered systems are there; however, one major drawback of it is the This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…In the literature, several techniques are documented to attain MPP for harvesting the maximum capacity 7 . These are documented as neural network, nonlinear state space, power, fuzzy logic, perturb and observe (P&O), tip speed ratio (TSR), and power signal feedback (PSF) 8‐10 . The P&O method is considered acceptable here because of its reliance on device parameters and easy implementation.…”

Section: Introductionmentioning

confidence: 99%

Robust control for seamless operation of wind‐BES microgrid

Gupta

Singh

Kewat

2021

Int Trans Electr Energ Syst

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Summary The aim of the paper is to provide seamless transition between the grid connected to an islanded mode and vice versa by switching the control of the load connected VSC (LCVSC) ensuring uninterruptable power supply. In the grid connected mode, a TOQSG (third‐order quadrature signal Generator) based method is applied for power quality improvement at the grid. During synchronization, the LCVSC adapts the phase and frequency of the grid voltage for seamless transition. The paper presents a smart microgrid, which manages the mode of operations and generation of reference signals for the smooth operation. The proposed approach is validated through test results. The grid current and CCP voltage distortion are as per the IEEE‐519 and the IEEE‐1547 standards.

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Drift-Free Perturb and Observe MPPT Algorithm With Improved Performance for SEIG-Based Stand-Alone Wind Energy Generation System

Cited by 42 publications

References 27 publications

Experimental implementation of a novel scheduling algorithm for adaptive and modified P&O MPPT controller using fuzzy logic for WECS

Experimental implementation of a novel scheduling algorithm for adaptive and modified P&O MPPT controller using fuzzy logic for WECS

Solar‐powered switched reluctance motor‐driven water pumping system with battery support

Robust control for seamless operation of wind‐BES microgrid

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