Improved solar system with maximum power point tracking

Hua, Chih‐Chiang; Fang, Yi-Hsiung; Wong, Cyuan-Jyun

doi:10.1049/iet-rpg.2017.0618

Cited by 35 publications

(14 citation statements)

References 15 publications

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“…The R eq resembles the value of equivalent input resistance ( R eq ) experienced by the PV panel at the input of proposed converter and can be expressed as follows, by using (29)

R_{normale q_{.}} = η {(\frac{1 - D}{D})}^{2} R_{L}

The relationship between PV current and voltage, i.e. ‘ I PV ’ and ‘ V PV ’ against the operating point P PV – V PV characteristics of PV module in terms of load line is expressed as

I_{PV} = \frac{D^{2}}{η R_{L} {false(1 - D false)}^{2}} V_{PV}

Taking reference of PV equivalent circuit, the PV voltage and current relation can be expressed as [24]

I_{PV} = I_{SC} - I_{0} ()(, e^{V_{PV} / a V_{t}} - 1) - \frac{V_{PV} + R_{s} I_{PV}}{R_{sh}}

where ‘ I sc ’ is PV module short‐circuit current, ‘ I 0 ’ signifies the reverse saturation current, the diode ideal factor is represented by ‘ a ’, ‘ V t ’ is the PV module thermal voltage, ‘ R s ’ and ‘ R sh ’ are the series and shunt resistances. By putting (32) into (33) and by using Taylor's series extension, (33) can be defined as

\begin{matrix} right leftthickmathspace.5em \\ \frac{D^{2}}{η R_{L} {(1 - D)}^{2}} V_{PV} \\ = I_{SC} - I_{0} \frac{V_{PV}}{a V_{t}} - \frac{V_{PV}}{R_{sh}} \\ - \frac{R_{normals}}{R_{sh}} \end{matrix}

…”

Section: Pv Power Optimisation Through Deviation Free Pando Mppt Algomentioning

confidence: 99%

Design of solar‐powered agriculture pump using new configuration of dual‐output buck–boost converter

Mishra

Singh

2018

IET Renewable Power Generation

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This paper proposed a new structure of single switch dual output Zeta derived DC-to-DC converter for an efficient harvesting of photovoltaic (PV) power for a 4-phase switched reluctance motor (SRM) driven agriculture pump. The system is essentially developed to minimise both cost and complexity, while synchronously guaranteeing optimal operation of the PV array. The proposed converter is derived from a hybrid of a 'Zeta' and Landsman converters and so it contains all the benefits of both converters including balanced outputs. Due to an identical instantaneous duty cycle, the switching node is shared by both Zeta and Landsman converters. The proposed converter offers continuous power to drive, a low ripple in output current, and balanced dual output supply. The PV power optimisation and to deliver smooth start of SRM, are the two major objectives of proposed DC-to-DC converter. A new maximum power point tracking (MPPT) technique is also used in the system to optimise the performance of PV array. Moreover, the proposed MPPT control has an additional advantage of regulating the flow rate of water pumping by adjusting the duty cycle of DC-to-DC converter. The motor speed is smoothly regulated through the variable DC link voltage of a mid-point converter.

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“…The R eq resembles the value of equivalent input resistance ( R eq ) experienced by the PV panel at the input of proposed converter and can be expressed as follows, by using (29)

R_{normale q_{.}} = η {(\frac{1 - D}{D})}^{2} R_{L}

The relationship between PV current and voltage, i.e. ‘ I PV ’ and ‘ V PV ’ against the operating point P PV – V PV characteristics of PV module in terms of load line is expressed as

I_{PV} = \frac{D^{2}}{η R_{L} {false(1 - D false)}^{2}} V_{PV}

Taking reference of PV equivalent circuit, the PV voltage and current relation can be expressed as [24]

I_{PV} = I_{SC} - I_{0} ()(, e^{V_{PV} / a V_{t}} - 1) - \frac{V_{PV} + R_{s} I_{PV}}{R_{sh}}

\begin{matrix} right leftthickmathspace.5em \\ \frac{D^{2}}{η R_{L} {(1 - D)}^{2}} V_{PV} \\ = I_{SC} - I_{0} \frac{V_{PV}}{a V_{t}} - \frac{V_{PV}}{R_{sh}} \\ - \frac{R_{normals}}{R_{sh}} \end{matrix}

…”

Section: Pv Power Optimisation Through Deviation Free Pando Mppt Algomentioning

confidence: 99%

Design of solar‐powered agriculture pump using new configuration of dual‐output buck–boost converter

Mishra

Singh

2018

IET Renewable Power Generation

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“…To optimise energy production under these conditions, many authors have proposed to implement distributed MPPT (DMPPT) by dividing the PV array into sub-sections [27,28]. In this respect, module-level DMPPT is becoming attractive, and it can be enabled thanks to the employment of microinverters [29,30] or module-integrated dc-dc converters [31][32][33]. Some works investigated also subpanel [34] and cell-level DMPPT, but the inherent cost and complexity hardly make it as viable option for commercial applications in a near future [26].…”

Section: Introductionmentioning

confidence: 99%

Model‐based maximum power point tracking for photovoltaic panels: parameters identification and training database collection

Cristaldi

Faifer

Laurano

et al. 2020

IET Renewable Power Generation

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“…A PV‐SP (Hua et.al, 2018), (Shanmugam et.al, 2018), (Tewari and Sreedevi 2018), (Belarbi et.al, 2018) absorbs the sunbeam and transmutes it into electrical energy so that it can well be utilized for diverse applications. The PV module is packaged with an array of solar cells.…”

Section: Introductionmentioning

confidence: 99%

Designing Proportional Integral Controller for a Solar Powered DC‐DC Converter Using PIPSO Algorithm and Deep Learning approach in Intelligent Bio‐Medical Applications

Rajarajacholan¹,

Moses

Banu

2020

Expert Systems

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Numerous engineering complexities are simplified using optimization algorithms. In a solar power system, the necessity of the voltage regulator is obvious. To control the regulator existent research works used PI, PID controllers that might have an unwanted transient response. To overcome such drawbacks here, a fresh scheme is proposed for the designing of the adaptive sliding mode (SM) controller of a solar powered LUO converter using optimization algorithms. The PSO ('Particle Swarm Optimization') is proved to expedite the convergence characteristic for many applications. Here, an ameliorated PSO version is developed. This algorithm is termed the Parameter Improved-PSO (PIPSO) algorithm. In this algorithm, the parameters, say, inertia weight, social along with cognitive agents is updated in every generation. The Proportional Integrator (PI) controller is used. The gain of this controller is tuned using the PIPSO. This algorithm's objective function is to lessen ISE ('Integral Squared Error') of the converter's output voltage. This parameter is picked as the objective function of the optimization algorithm. The proposed PIPSO is established to show better outcomes when contrasted to the traditional PSO concerning tuning a collection of parameters. An analysis is also made to evaluate the effect of usage of the solar panel () in the proposed work. K E Y W O R D S integral squared error, parameter improved particle swarm optimization, proportional integral controller, proportional integral controller, solar panel 1 | INTRODUCTION The continuous growth for global demand and environmental concern has lead to the exploration of Renewable Energy (RE) sources. As contrasted to all other 'RE' sources (Mekhilef, et.al, 2011) the photo-voltaic (PV) energy has advantages such as no noise, cleanliness, along with very less maintenance. The PV (Sangwongwanich, 2018) systems are broadly used for low power electrical generation. This paper attempts to use non-RE as the voltage source input. The DC − DC conversion technology has evolved as a major area of research in the power electronics and drives field. DC − DC converters (Chen et.al, 2017), (Forouzesh et.al, 2017), (Riedel et.al, 2017) are nothing but electrical circuits which can transport the energy to a load. In such sorts of converters, the switches can either be diodes or transistors. The voltage value (transferred) relies upon the switches' duty ratios. The DC − DC converters are extensively utilized on industrial applications along with computers hardware circuits. A disparity of the PI-Derivative (PID) control that utilizes just the proportional and integral terms is called PI control. The PI is further widely utilized than the PID.

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Improved solar system with maximum power point tracking

Cited by 35 publications

References 15 publications

Design of solar‐powered agriculture pump using new configuration of dual‐output buck–boost converter

Design of solar‐powered agriculture pump using new configuration of dual‐output buck–boost converter

Model‐based maximum power point tracking for photovoltaic panels: parameters identification and training database collection

Designing Proportional Integral Controller for a Solar Powered DC‐DC Converter Using PIPSO Algorithm and Deep Learning approach in Intelligent Bio‐Medical Applications

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