Model-Based Design and Sliding Mode Control Approach for Two-Stage Water Pumping System With Reduced Sensors

Jain, Rohit; Barry, Venugopal Reddy; Varma, G Harish Kumar

doi:10.1109/jestpe.2021.3100477

Cited by 17 publications

(6 citation statements)

References 42 publications

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“…This possibility is determined by another term called generation probability (GP) as described in ( 6) and (7). Three terms are emphasized in the suggested algorithm as mentioned in (8). The first is the equilibrium pool, which allows all particles to search for equilibrium in a search space.…”

Section: Generation Rate (G)mentioning

confidence: 99%

“…The conventional maximum power point tracking (MPPT) techniques such as perturb and observe (P&O) and incremental conductance (IC) are most suitable for tracking maximum power point (MPP) under uniform shading condition (USC) 5,6 . Conversely, these techniques fail under PSCs where multiple peaks appear on the P–V curve 7,8 . In addition, conventional MPPT methods give rise to oscillations around MPP.…”

Section: Introductionmentioning

confidence: 99%

“…5,6 Conversely, these techniques fail under PSCs where multiple peaks appear on the P-V curve. 7,8 In addition, conventional MPPT methods give rise to oscillations around MPP. Several modified conventional MPPT techniques are introduced in the literature 9 ; however, they often fail to track MPP and need longer convergence time.…”

mentioning

confidence: 99%

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A novel constraint‐based improved equilibrium optimization for global peak tracking of photovoltaic system under complex shading conditions

Reddy

2023

Circuit Theory & Apps

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The P-V characteristics of photovoltaic (PV) array exhibit multiple peaks during partial shading conditions (PSCs). Traditional maximum power point tracking (MPPT) approaches are unable to locate the global power point and frequently converge to the local power point. In recent years, evolutionary techniques have given a satisfactory result by tracking global maximum power point (GMPP) but at the cost of ample memory storage and computational burden. Therefore, this paper proposes an improved equilibrium optimization (IEO) technique to track maximum power from the solar photovoltaic system under PSC. The reduced search space exploration by using the skipping method is implemented to improve the convergence speed. The proposed IEO algorithm is capable of differentiating between uniform shading, different PSCs, and solar intensity variation with fast tracking speed. Similarly, the proposed algorithm has been compared with deterministic Jaya (DM-Jaya), crow search algorithm (CSA), and equilibrium optimization (EO) algorithms. The effectiveness of the proposed IEO technique-based MPPT has been validated through simulations and experiments. The results demonstrate the capability of IEO in tracking GMPP with an average efficiency of 99.72% and average tracking time of 0.708 s. Further, the proposed algorithm has been implemented for grid integration under PSC. The results reveal that the proposed method has high PV tracking efficiency, negligible steady-state error, a low MPPT period, and a quick convergence velocity.

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Section: Generation Rate (G)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A novel constraint‐based improved equilibrium optimization for global peak tracking of photovoltaic system under complex shading conditions

Reddy

2023

Circuit Theory & Apps

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“…The design of the inductance and capacitance of the boost converter plays a vital role in deciding the system's performance. The inductance (L) and capacitance (C P V ) are derived from the following equations [23], [30]:…”

Section: Design Of Convertersmentioning

confidence: 99%

A Total-Cross-Tied-Based Dynamic Photovoltaic Array Reconfiguration for Water Pumping System

2022

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Most Photo-voltaic (PV) applications require a shadow-free area for the installation of the PV panels. However, shading is inevitable in a few applications like building-integrated PV pumping systems (BIPVPS). Partial shading occurs due to soiling, clouds, shades of nearby trees, buildings, current, and telephone poles. During this partial shading condition, the PV array output power decreases, reducing the efficiency of the BIPVPS. In this paper, a novel dynamic array reconfiguration technique is proposed to enhance the power output from the PV array. This paper uses a boost converter with an incremental conductance algorithm for operating enhanced power at the maximum. Sinusoidal Pulse Width Modulation (SPWM) technique based V /f control operates the induction motor. Thus, the proposed algorithm and maximum power point technique (MPPT) enhance the power output from the PV array and track the global power. The PI and V /f control regulate the dc-link voltage and speed of the Induction motor. Simulations and experimental studies are performed to show the effectiveness of the proposed algorithm. The proposed system results in additional 234 W PV power extraction compared to the conventional system. Thus, the proposed method enhances the overall performance of the system.INDEX TERMS Partial shading, dynamic reconfiguration, total-cross-tied, power enhancement, PV water pumping.

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“…Research was carried out in order to rationalize fossil resources use and to optimize water pumping control. The first studies focused on monitoring the pumping stations by means of traditional controllers such as PD or PID (proportional and derivative controller or proportional, integral and derivative controller, respectively) or their combination with scalar and vector controllers [6,7]; subsequently, a new concept emerged called a sliding mode robust controller [8].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of an Intelligent ANFIS Controller on a Raspberry Pi Nano-Computer for Photovoltaic Pumping Intended for Drip Irrigation

2021

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For several decades, many countries have favored irrigation as a means of regulating, diversifying, and increasing agricultural production to meet the growing domestic demand for food, and even to generate exportable surpluses. As with most Mediterranean countries, Tunisia has inherited a long tradition in irrigation; thus, the management of the scarcity of water resources poses a very important challenge that is gradually increasing due to the effects of climate change undergone by the region and confronting the agricultural sector. Aiming at a new model of sustainable development, ensuring the optimization of water resources management, as well as the protection of natural resources and the environment, this work proposed the modern design of a photovoltaic pumping chain dedicated for drip irrigation, which is controlled using an intelligent neuron-fuzzy controller with an ANFIS architecture and implemented on a Raspberry Pi platform. Thanks to this design, the efficiency of the pumping chain increased exponentially to a value of approximately 95%, achieving water pumping optimization while exploiting renewable energy resources, thus guaranteeing the longevity of water resources, as well as the continuity of diversified agricultural production.

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Model-Based Design and Sliding Mode Control Approach for Two-Stage Water Pumping System With Reduced Sensors

Cited by 17 publications

References 42 publications

A novel constraint‐based improved equilibrium optimization for global peak tracking of photovoltaic system under complex shading conditions

A novel constraint‐based improved equilibrium optimization for global peak tracking of photovoltaic system under complex shading conditions

A Total-Cross-Tied-Based Dynamic Photovoltaic Array Reconfiguration for Water Pumping System

Design and Implementation of an Intelligent ANFIS Controller on a Raspberry Pi Nano-Computer for Photovoltaic Pumping Intended for Drip Irrigation

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