Dual MPPT algorithm for dual PV source fed Open-End Winding Induction Motor Drive for pumping application

Jain, Sachin; Chinthamalla, Ramulu; Padmanaban, Sanjeevikumar; Ojo, Joseph Olorunfemi; Ertas, Ahmet H.

doi:10.1016/j.jestch.2016.07.008

Cited by 43 publications

(26 citation statements)

References 32 publications

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“…The power circuit of the proposed T & SC-BC with voltage multiplier is depicted in Figure 16. The voltage conversion ratio is analyzed and provided in Equation (26). The voltage across a switch is not affected by the voltage multiplier.…”

Section: Future Extension and Combination Of The Proposed T And Sc-bc Tmentioning

confidence: 99%

“…The power of a PV system is higher at the knee point of the P-V characteristic curve, as the MPP keeps on changing according to the varying irradiation levels, a MPPT method is used to track the MPP of the system. The PV grid-connected power system in domestic applications is becoming a fast-rising segment in the PV market [23][24][25][26]. Unfortunately, the output voltage of the PV arrays or panels is relatively low.…”

Section: Introductionmentioning

confidence: 99%

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An Original Transformer and Switched-Capacitor (T & SC)-Based Extension for DC-DC Boost Converter for High-Voltage/Low-Current Renewable Energy Applications: Hardware Implementation of a New T & SC Boost Converter

et al. 2018

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Section: Future Extension and Combination Of The Proposed T And Sc-bc Tmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Original Transformer and Switched-Capacitor (T & SC)-Based Extension for DC-DC Boost Converter for High-Voltage/Low-Current Renewable Energy Applications: Hardware Implementation of a New T & SC Boost Converter

et al. 2018

Self Cite

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“…The saturation diode current is specified in Equation (3). Where E go -Band gap energy, Tr-Nominal temperature, V t -Diode thermal voltage.…”

Section: Modeling Of Pv Modulementioning

confidence: 99%

“…To achieve maximum power at all times, the Maximum Power Point Tracking Technique (MPPT) is developed. Till now, the MPPT algorithms comprise the constant voltage tracking (CVT), voltage feedback, Perturb and Observe (P&O), power feedback, incremental conductance (INC) method, Hill Climbing, Artificial Neural Network (ANN), Fuzzy Logic, and so on [1][2][3][4][5][6]. The simplest approach is the voltage feedback, where the output voltage at the maximum power point is essentially recognized in advance of the tracking operation.…”

Section: Introductionmentioning

confidence: 99%

Maximum Power Point Tracking Implementation by Dspace Controller Integrated Through Z-Source Inverter Using Particle Swarm Optimization Technique for Photovoltaic Applications

et al. 2018

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Maximum Power Point Tracking (MPPT) technique is used to extract maximum power from the photovoltaic system. This paper involves working on an enhanced Particle Swarm Optimization (PSO) based MPPT method for the photovoltaic (PV) system integrated through Z-Source inverter. The main benefit of the proposed method is the diminishing of the steady-state oscillation when the maximum power point (MPP) is located. Additionally, during an extreme environmental condition, such as partial shading and large fluctuations of irradiance and temperature, the proposed method has the capability to track the MPP. This algorithm is implemented in dspace 1104 controller. MATLAB simulations are carried out under varying irradiance and temperature conditions to evaluate its effectiveness. Its performance is compared with a conventional method like Perturb and observe (P&O) method.

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“…Nevertheless, each EV can be connected to the power grid at different arrival and departure times in the car park, which will lead to the dynamic EV mobility characteristics [62][63][64][65][66][67][68][69]. Hence in this paper, the EV grid connection probability is estimated based on the driving behaviour of the township's residents and commercial workers.…”

Section: Ev Grid Connection Probabilitymentioning

confidence: 99%

Minimization of Load Variance in Power Grids—Investigation on Optimal Vehicle-to-Grid Scheduling

et al. 2017

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Abstract:The introduction of electric vehicles into the transportation sector helps reduce global warming and carbon emissions. The interaction between electric vehicles and the power grid has spurred the emergence of a smart grid technology, denoted as vehicle-to grid-technology. Vehicle-to-grid technology manages the energy exchange between a large fleet of electric vehicles and the power grid to accomplish shared advantages for the vehicle owners and the power utility. This paper presents an optimal scheduling of vehicle-to-grid using the genetic algorithm to minimize the power grid load variance. This is achieved by allowing electric vehicles charging (grid-to-vehicle) whenever the actual power grid loading is lower than the target loading, while conducting electric vehicle discharging (vehicle-to-grid) whenever the actual power grid loading is higher than the target loading. The vehicle-to-grid optimization algorithm is implemented and tested in MATLAB software (R2013a, MathWorks, Natick, MA, USA). The performance of the optimization algorithm depends heavily on the setting of the target load, power grid load and capability of the grid-connected electric vehicles. Hence, the performance of the proposed algorithm under various target load and electric vehicles' state of charge selections were analysed. The effectiveness of the vehicle-to-grid scheduling to implement the appropriate peak load shaving and load levelling services for the grid load variance minimization is verified under various simulation investigations. This research proposal also recommends an appropriate setting for the power utility in terms of the selection of the target load based on the electric vehicle historical data.

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Dual MPPT algorithm for dual PV source fed Open-End Winding Induction Motor Drive for pumping application

Cited by 43 publications

References 32 publications

An Original Transformer and Switched-Capacitor (T & SC)-Based Extension for DC-DC Boost Converter for High-Voltage/Low-Current Renewable Energy Applications: Hardware Implementation of a New T & SC Boost Converter

An Original Transformer and Switched-Capacitor (T & SC)-Based Extension for DC-DC Boost Converter for High-Voltage/Low-Current Renewable Energy Applications: Hardware Implementation of a New T & SC Boost Converter

Maximum Power Point Tracking Implementation by Dspace Controller Integrated Through Z-Source Inverter Using Particle Swarm Optimization Technique for Photovoltaic Applications

Minimization of Load Variance in Power Grids—Investigation on Optimal Vehicle-to-Grid Scheduling

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