Performance Evaluation of ACO-MPPT and Constant Voltage Method for Street Lighting Charging System

Mohammad, Luthfansyah; Prasetyono, Eka; Murdianto, Farid Dwi

doi:10.1109/isemantic.2019.8884303

Cited by 9 publications

(7 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition to polarity, the similarity of the CUK Converter with Buck-Boost is its function, which is able to make the converter output voltage larger or smaller with respect to the input side voltage, electricity. Elaborating on the results of previous studies, obtained if the efficiency of the performance of the CUK Converter is not less than 90 % [2]. The schematic of the CUK Converter can be seen in Figure 3(c), with the switch attached in parallel.…”

Section: Cuk Convertermentioning

confidence: 69%

“…One component that highly supports and improves the performance of solar panel systems is DC-DC converter. Elaborating on previous research, DC-DC Converter can increase the electrical output of solar panels no less than 5 % compared to the system without DC-DC Converter [1,2]. DC-DC Converter is a type of power converter that can be used to set the output voltage parameters to the input voltage.…”

Section: Introductionmentioning

confidence: 91%

See 1 more Smart Citation

Evaluation and Comparison of DC-DC Power Converter Variations in Solar Panel Systems Using Maximum Power Point Tracking (MPPT) Flower Pollination Algorithm (FPA) Control

2020

View full text Add to dashboard Cite

Maximum Power Point Tracking (MPPT) is a method that can be used to optimize the electrical power output from solar panels. The performance of the MPPT method on solar panel systems can be influenced by many variables. One of them is the selection of a DC-DC power converter. DC-DC-DC Converter is a component that is used to optimize the performance of solar panels. Several types of DC-DC Converter are Buck, Buck-Boost, Single Ended Primary Inductance Converter (SEPIC), and CUK. Each converter has a different effect on solar panels output power. In order to observe and make a comprehensive analysis, simulations are performed through PSIM (Power Simulator) software on the performance of several DC-DC Converters that use Flower Pollination Algorithm (FPA) as the MPPT algorithm. Variables that observed are the output power characteristic, the response of the voltage-current ripple signal, and the accuracy of the converter in the process of reaching the maximum power point condition. As a result, CUK converter can obtain the highest value of solar panel output power, 145.02 W. A low ripple level with a stable power value response is entirely generated by CUK and SEPIC Converter. Overall, for this system, the CUK converter has better performance than the other converters.

show abstract

Section: Cuk Convertermentioning

confidence: 69%

Section: Introductionmentioning

confidence: 91%

Evaluation and Comparison of DC-DC Power Converter Variations in Solar Panel Systems Using Maximum Power Point Tracking (MPPT) Flower Pollination Algorithm (FPA) Control

2020

View full text Add to dashboard Cite

show abstract

“…Tahap pengosongan yaitu proses perubahan energi kimia menjadi energi listrik, sedangkan tahap pengisian yaitu proses pengubahan energi listrik menjadi energi kimia dengan cara melewatkan arus listrik dalam arah polaritas yang berlawanan di dalam sel [14]. Melihat hal tersebut, baterai cocok digunakan untuk menyimpan energi listrik yang dihasilkan dari panel surya selama siang hari [15]. Besarnya kapasitas baterai yang digunakan dalam suatu sistem tergantung pada besarnya energi beban total yang dibutuhkan oleh sistem tersebut.…”

Section: Bateraiunclassified

“…Ah adalah kapasitas baterai, ET adalah energi total, dan V adalah tegangan. Untuk mengetahui nilai keadaan pengisian baterai terhadap kapasitas, digunakan suatu metode yang bernama Coulomb counting dengan nilai pembacaan berupa State of Charge (SOC) dalam satuan persen[15]. Semakin besar nilai SOC, energi yang tersimpan di baterai semakin Dalam hal ini, konsep tersebut disederhakan melalui diagram alir yang ditunjukkan pada Gbr.…”

unclassified

Pengembangan Sistem Hidroponik Otomatis-Modern Berbasis Panel Surya dan Baterai

Mohammad

Suyanto

Asy’ari

et al. 2021

JNTETI

Self Cite

View full text Add to dashboard Cite

Fleksibilitas dan kemudahan bercocok tanam dengan metode hidroponik modern mengakibatkan kebutuhan pemasangan turut meningkat. Berbagai jenis tanaman dapat diterapkan pada sistem hidroponik modern, menyebabkan metode ini berpotensi untuk diaplikasikan di berbagai wilayah. Namun, tidak semua wilayah memiliki akses pada jaringan tenaga listrik, padahal sistem hidroponik modern membutuhkan suplai daya listrik yang cukup agar dapat beroperasi. Sistem hidroponik modern juga dituntut memiliki rancang-bangun yang berfungsi menjaga kualitas zat anorganik sesuai kebutuhan secara akurat dan terukur secara otomatis. Sistem yang dibuat juga didesain sehingga dapat beroperasi secara off-grid. Oleh karena itu, dilakukan sebuah pengembangan sistem hidroponik otomatis untuk menyelesaikan berbagai permasalahan. Data uji menunjukkan bahwa sistem telah bekerja dengan akurat. Error sensor tidak lebih dari 10,75% dan akurasi kinerja aktuator sebesar 100%. Sistem juga mampu bekerja selama satu hari penuh melalui sistem panel surya sebesar 100 WP dan baterai berkapasitas 27 Ah. Sebagai kesimpulan, rancang bangun sistem hidroponik otomatis mampu melakukan self-maintenance terhadap nilai nutrisi dan pH, memenuhi kebutuhan penyinaran buatan, sekaligus dapat beroperasi di berbagai area secara portabel.

show abstract

“…In addition to using SCC, research on the improvement of charging station performance also includes the use of Internet of Things (IOT) (Akila et al, 2019), charging mode (Pavkovic et al, 2014), and the concept of fast charging (Moeini & Wang, 2018). SCC in general functions to regulate the output of electric power from solar panels to the battery, and one of these functions is Maximum Power Point Tracking (Mohammad et al, 2019). MPPT is a method used to optimize solar panel power output.…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Solar Panels Using Adaptive Velocity-Particle Swarm Optimization (AVPSO) Algorithm for Charging Station as an Effort for Energy Security

Mohammad

Asy’ari

Izdiharrudin

et al. 2020

IJE

Self Cite

View full text Add to dashboard Cite

The growth of public awareness of the environment is directly proportional to the development of the use of electric cars. Electric cars operate by consuming electrical energy from battery storage, which must be recharged periodically at the charging station. Solar panels are one source of energy that is environmentally friendly and has the potential to be applied to charging stations. The use of solar panels causes the charging station to no longer depend on conventional electricity networks, which the majority of it still use fossil fuel power plants. Solar panels have a problem that is not optimal electrical power output so that it has the potential to affect the charging parameters of the battery charging station. Adaptive Velocity-Particle Swarm Optimization (AV-PSO) is an artificial intelligence type MPPT optimization algorithm that can solve the problem of solar panel power optimization. This study also uses the Coulomb Counting method as a battery capacity estimator. The results showed that the average sensor accuracy is more than 91% with a DC-DC SEPIC converter which has an efficiency of 69.54%. In general, the proposed charging station system has been proven capable to enhance the energy security by optimizing the output power of solar panels up to 22.30% more than using conventional systems.

show abstract

Performance Evaluation of ACO-MPPT and Constant Voltage Method for Street Lighting Charging System

Cited by 9 publications

References 10 publications

Evaluation and Comparison of DC-DC Power Converter Variations in Solar Panel Systems Using Maximum Power Point Tracking (MPPT) Flower Pollination Algorithm (FPA) Control

Evaluation and Comparison of DC-DC Power Converter Variations in Solar Panel Systems Using Maximum Power Point Tracking (MPPT) Flower Pollination Algorithm (FPA) Control

Pengembangan Sistem Hidroponik Otomatis-Modern Berbasis Panel Surya dan Baterai

Performance Enhancement of Solar Panels Using Adaptive Velocity-Particle Swarm Optimization (AVPSO) Algorithm for Charging Station as an Effort for Energy Security

Contact Info

Product

Resources

About