MPPT controller design for a standalone PV system

Stošović, Miona Andrejević; Dimitrijević, Marko; Litovski, Vančo

doi:10.1109/telsks.2013.6704427

Cited by 5 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Maka metode secant menjadi jawaban atas permasalahan yang dihadapi oleh metode Newton-Raphson. Penelitian dengan judul "Rancang Bangun Maximum Power Point Tracker (MPPT) pada Panel Surya dengan menggunakan Metode Fuzzy", di dapatkan hasil efisiensi daya output yang di hasilkan Photovoltaic rendah karena karakteristik tegangan terhadap arus tidak linier terhadap pembebanan [3,5,6]. Hal tersebut di karenakan fakor intensitas cahaya, suhu dari PV.…”

Section: Pendahuluanunclassified

Pengoptimalan Daya Menggunakan Metode Secant Photovoltaic Statis

Sulistyowati,

Ramatulloh

2022

JME

View full text Add to dashboard Cite

Panel surya merupakan serangkaian sel fotovoltaik yang mengkonversi sinar matahari menjadi energi listrik. Panel surya dapat bekerja maksimal pada saat siang hari sehingga besarnya daya keluaran bergantung dari intensitas cahaya, temperatur dan beban yang terdapat dalam panel surya. Oleh karena itu dibutuhkan sebuah algoritma maximum power point tracker (MPPT) sebagai kontrol penyimpanan agar mendapatkan daya keluaran yang maksimum menggunakan metode secant. Metode secant merupakan salah satu metode yang digunakan untuk mencari nilai akar dari suatu persamaan. Yakni dengan mengambil sampling dari suatu persamaan yang akan digunakan berikutnya untuk menaksir akar persamaan dengan menggunakan diferensi memperkirakan kemiringan. Hasil dari metode tersebut untuk mengatur duty cycle menggunakan converter DC-DC buck. Duty cycle diatur sebesar 50% dengan lama setiap periode sebesar 0.25 detik berfungsi untuk mengatur tegangan keluaran dari panel surya agar berada pada posisi maksimal yakni tidak melebihi 14 V. Dalam posisi puncak penjejakan sedikit terkendala oleh membaca tegangan keluaran dari panel surya untuk menghitung nilai baru. Dengan demikian hasil keluaran dari panel surya akan tetap mengikuti keluaran dari panel surya agar berada pada titik maksimal.

show abstract

Section: Pendahuluanunclassified

Pengoptimalan Daya Menggunakan Metode Secant Photovoltaic Statis

Sulistyowati,

Ramatulloh

2022

JME

View full text Add to dashboard Cite

show abstract

“…where ∆V O is the ripple voltage. The boost converter parameters as calculated using Equations (17)- (19) are given in Table 2. difference between them lies in the consequent fuzzy rules and defuzzification procedures; the Mamdani Inference method uses fuzzy sets as rule consequent, while Sugeno Inference considers linear functions of input variables.…”

Section: Dc-to-dc Convertermentioning

confidence: 99%

“…As of now, diverse techniques are utilised to extract maximum power [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. Most of these techniques are employed for photovoltaic [29] and wind generators [22,30], and vary from each other in several respects such as efficiency, complexity, convergence speed, sensors needed, hardware implementation and cost, to name a few [16,31,32].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Rule-Based and Particle Swarm Optimisation MPPT Techniques for a Fuel Cell Stack

Luta

Raji

2019

Energies

View full text Add to dashboard Cite

The negative environmental impact and the rapidly declining reserve of fossil fuel-based energy sources for electricity generation is a big challenge to finding sustainable alternatives. This scenario is complicated by the ever-increasing world population growth demanding a higher standard of living. A fuel cell system is able to generate electricity and water with higher energy efficiency while producing near-zero emissions. A common fuel cell stack displays a nonlinear power characteristic as a result of internal limitations and operating parameters such as temperature, hydrogen and oxygen partial pressures and humidity levels, leading to a reduced overall system performance. It is therefore important to extract as much power as possible from the stack, thus hindering excessive fuel use. This study considers and compares two Maximum Power Point Tracking (MPPT) approaches; one based on the Mamdani Fuzzy Inference System and the other on the Particle Swarm Optimisation (PSO) algorithm to maintain the output power of a fuel cell stack extremely close to its maximum. To ensure that, the power converter interfaced to the fuel cell unit must be able to continuously self-modify its parameters, hence changing its voltage and current depending upon the Maximum Power Point position. While various methods exist for Maximum Power Point tracker design, this paper analyses the response characteristics of a Mamdani Fuzzy Inference Engine and the Particle Swarm Optimisation technique. The investigation was conducted on a 53 kW Proton Exchange Membrane Fuel Cell interfaced to a DC-to-DC boost converter supplying 1.2 kV from a 625 V input DC voltage. The modelling was accomplished using a Matlab/Simulink environment. The results showed that the MPPT controller based on the PSO algorithm presented better tracking efficiency as compared to the Mamdani controller. Furthermore, the rise time of the PSO controller was slightly shorter than the Mamdani controller and the overshoot of the PSO controller was 2% lower than that of the Mamdani controller.

show abstract

“…In the literature, several topologies exist for connecting the battery to the DC-bus. The DC-link can serve and receive current through the battery either through a bidirectional DC-DC converter [4,[15][16][17] (Figure 1), which permits the effective implementation of the BMS, or through a direct coupling at the load side or the PV side [6,[18][19][20] (Figure 2). A direct battery coupling architecture enables the reduction in the size of the system and possibly increases system efficiency even though it makes it very difficult to control the charge and discharge currents of the battery.…”

Section: Introductionmentioning

confidence: 99%

A Novel Energy Management Control Scheme for a Standalone PV System in a DC Nanogrid

Nkembi,

Santoro,

Cova

et al. 2023

Electronics

View full text Add to dashboard Cite

Distributed energy resources (DERs), such as photovoltaic (PV) sources, together with storage systems, such as battery energy storage systems (BESS), are increasingly present and necessary in our electricity distribution networks. Furthermore, the need for efficient use of energy from DERs, especially in developing countries and remote communities, must be addressed with the development of nanogrids (NGs), particularly DC NGs, and standalone PV systems with adequate control strategies. This paper investigates the control and dynamic operation of a standalone PV system. It consists mainly of three DC–DC power converters for the PV source interface, battery management, and load voltage control. A two-level modulation scheme is applied to each of these converters to switch them ON and OFF. A maximum power point tracking (MPPT) closed-loop voltage control system is implemented to make sure that the PV operates at optimum power regardless of the irradiance level or temperature, while battery voltage and load-side voltage control are also implemented to indirectly provide the required load power. The control of each of the converters is achieved by deriving their small-signal models using a state-space approach from which various control objectives are implemented. The DC-link is clamped by a BESS which acts as a backup source to provide power to the DC load in the absence of sufficient power from the PV panel. The dynamic operation of the whole system is enhanced by proposing a robust feedforward scheme that improves the response of the system in the presence of disturbances. The models are analyzed and implemented using PLECS, and numerical simulations are performed to validate the developed models and control schemes.

show abstract

MPPT controller design for a standalone PV system

Cited by 5 publications

References 6 publications

Pengoptimalan Daya Menggunakan Metode Secant Photovoltaic Statis

Pengoptimalan Daya Menggunakan Metode Secant Photovoltaic Statis

Fuzzy Rule-Based and Particle Swarm Optimisation MPPT Techniques for a Fuel Cell Stack

A Novel Energy Management Control Scheme for a Standalone PV System in a DC Nanogrid

Contact Info

Product

Resources

About