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Research paper thumbnail of A review of recent advances in metaheuristic maximum power point tracking algorithms for solar photovoltaic systems under the partial-shading conditions

Indonesian Journal of Science and Technology

Several maximum power point (MPP) tracking algorithms for solar power or photovoltaic (PV) system... more Several maximum power point (MPP) tracking algorithms for solar power or photovoltaic (PV) systems concerning partial-shading conditions have been studied and reviewed using conventional or advanced methods. The standard MPPT algorithms for partial-shading conditions are: (i) conventional; (ii) mathematics-based; (iii) artificial intelligence; (iv) metaheuristic. The main problems of the conventional methods are poor power harvesting and low efficiency due to many local maximum appearances and difficulty in determining the global maximum tracking. This paper presents MPPT algorithms for partial-shading conditions, mainly metaheuristics algorithms. Firstly, the four classification algorithms will be reviewed. Secondly, an in-depth review of the metaheuristic algorithms is presented. Remarkably, 40 metaheuristic algorithms are classified into four classes for a more detailed discussion; physics-based, biology-based, sociology-based, and human behavior-based are presented and evaluated...

Research paper thumbnail of Kuliah Kerja Nyata Reguler Periode LXV Tahun Akademik 2017/2018 Divisi IV.B.2 Dusun Tirto, Desa Triharjo, Kecamatan Pandak, Kabupaten Bantul, Yogyakarta

Research paper thumbnail of A laboratory scale IoT-based measuring of the solar photovoltaic parameters

International Journal of Reconfigurable and Embedded Systems (IJRES)

Harvesting solar energy as a renewable energy source has received significant attention through s... more Harvesting solar energy as a renewable energy source has received significant attention through serious studies that could be applied massively. However, the nonlinear nature of photovoltaic (PV) concerning the surrounding environment, especially irradiation and temperature, affects the resulting output. Therefore, the correlation between environmental parameters and PV's energy needs to be studied. This paper presents a design for measuring solar PV parameters monitored on a laboratory scale. The monitoring is based on internet of things (IoT) technology analyzed in realtime. The system was tested in various weather conditions for 18 hours. The results obtained indicate that the output voltage was influenced by the lighting factor of the PV and the surrounding temperature.

Research paper thumbnail of A laboratory scale IoT-based measuring of the solar photovoltaic parameters

International Journal of Reconfigurable and Embedded Systems , 2022

Harvesting solar energy as a renewable energy source has received significant attention through s... more Harvesting solar energy as a renewable energy source has received significant attention through serious studies that could be applied massively. However, the nonlinear nature of photovoltaic (PV) concerning the surrounding environment, especially irradiation and temperature, affects the resulting output. Therefore, the correlation between environmental parameters and PV's energy needs to be studied. This paper presents a design for measuring solar PV parameters monitored on a laboratory scale. The monitoring is based on internet of things (IoT) technology analyzed in realtime. The system was tested in various weather conditions for 18 hours. The results obtained indicate that the output voltage was influenced by the lighting factor of the PV and the surrounding temperature.

Research paper thumbnail of Internet of things-based photovoltaics parameter monitoring system using NodeMCU ESP8266

International Journal of Electrical and Computer Engineering (IJECE), 2021

The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature ... more The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature for remote monitoring, supervising, and performance evaluation. Furthermore, it improves the long-term viability, consistency, efficiency, and system maintenance of energy production. However, previous researchers' proposed PV monitoring systems are relatively complex and expensive. Furthermore, the existing systems do not have any backup data, which means that the acquired data could be lost if the network connection fails. This paper presents a simple and low-cost IoT-based PV parameter monitoring system, with additional backup data stored on a microSD card. A NodeMCU ESP8266 development board is chosen as the main controller because it is a system-on-chip (SOC) microcontroller with integrated Wi-Fi and low-power support, all in one chip to reduce the cost of the proposed system. The solar irradiance, ambient temperature, PV output voltage and PV output current, are measured with p...

Research paper thumbnail of A review of recent advances in metaheuristic maximum power point tracking algorithms for solar photovoltaic systems under the partial-shading conditions

Indonesian Journal of Science & Technology, 2022

Several maximum power point (MPP) tracking algorithms for solar power or photovoltaic (PV) system... more Several maximum power point (MPP) tracking algorithms for solar
power or photovoltaic (PV) systems concerning partial-shading
conditions have been studied and reviewed using conventional or
advanced methods. The standard MPPT algorithms for partialshading conditions are: (i) conventional; (ii) mathematics-based;
(iii) artificial intelligence; (iv) metaheuristic. The main problems of
the conventional methods are poor power harvesting and low
efficiency due to many local maximum appearances and difficulty
in determining the global maximum tracking. This paper presents
MPPT algorithms for partial-shading conditions, mainly
metaheuristics algorithms. Firstly, the four classification
algorithms will be reviewed. Secondly, an in-depth review of the
metaheuristic algorithms is presented. Remarkably, 40
metaheuristic algorithms are classified into four classes for a more
detailed discussion; physics-based, biology-based, sociologybased, and human behavior-based are presented and evaluated
comprehensively. Furthermore, the performance comparison of
the 40 metaheuristic algorithms in terms of complexity level,
converter type, sensor requirement, steady-state oscillation,
tracking capability, cost, and grid connection are synthesized.
Generally, readers can choose the most appropriate algorithms
according to application necessities and system conditions. This
study can be considered a valuable reference for in-depth works
on current related issues.

Research paper thumbnail of Internet of things-based photovoltaics parameter monitoring system using NodeMCU ESP8266

International Journal of Electrical and Computer Engineering (IJECE), 2021

The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical featur... more The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature for remote monitoring, supervising, and performance evaluation. Furthermore, it improves the long-term viability, consistency, efficiency, and system maintenance of energy production. However, previous researchers' proposed PV monitoring systems are relatively complex and expensive. Furthermore, the existing systems do not have any backup data, which means that the acquired data could be lost if the network connection fails. This paper presents a simple and low-cost IoT-based PV parameter monitoring system, with additional backup data stored on a MicroSD card. A NodeMCU ESP8266 development board is chosen as the main controller because it is a system-on-chip (SOC) microcontroller with integrated Wi-Fi and low-power support, all in one chip to reduce the cost of the proposed system. The solar irradiance, ambient temperature, PV output voltage and PV output current, are measured with photo-diodes, DHT22, impedance dividers and ACS712. While, the PV output power is a product of the PV voltage and PV current. ThingSpeak, an open-source software, is used as a cloud database and data monitoring tool in the form of interactive graphics. The results showed that the system was designed to be highly accurate, reliable, simple to use, and low-cost.

Research paper thumbnail of Machine Vision-based Obstacle Avoidance for Mobile Robot

Jurnal Ilmiah Teknik Elektro Komputer dan Informatika

Research paper thumbnail of A review of recent advances in metaheuristic maximum power point tracking algorithms for solar photovoltaic systems under the partial-shading conditions

Indonesian Journal of Science and Technology

Several maximum power point (MPP) tracking algorithms for solar power or photovoltaic (PV) system... more Several maximum power point (MPP) tracking algorithms for solar power or photovoltaic (PV) systems concerning partial-shading conditions have been studied and reviewed using conventional or advanced methods. The standard MPPT algorithms for partial-shading conditions are: (i) conventional; (ii) mathematics-based; (iii) artificial intelligence; (iv) metaheuristic. The main problems of the conventional methods are poor power harvesting and low efficiency due to many local maximum appearances and difficulty in determining the global maximum tracking. This paper presents MPPT algorithms for partial-shading conditions, mainly metaheuristics algorithms. Firstly, the four classification algorithms will be reviewed. Secondly, an in-depth review of the metaheuristic algorithms is presented. Remarkably, 40 metaheuristic algorithms are classified into four classes for a more detailed discussion; physics-based, biology-based, sociology-based, and human behavior-based are presented and evaluated...

Research paper thumbnail of Kuliah Kerja Nyata Reguler Periode LXV Tahun Akademik 2017/2018 Divisi IV.B.2 Dusun Tirto, Desa Triharjo, Kecamatan Pandak, Kabupaten Bantul, Yogyakarta

Research paper thumbnail of A laboratory scale IoT-based measuring of the solar photovoltaic parameters

International Journal of Reconfigurable and Embedded Systems (IJRES)

Harvesting solar energy as a renewable energy source has received significant attention through s... more Harvesting solar energy as a renewable energy source has received significant attention through serious studies that could be applied massively. However, the nonlinear nature of photovoltaic (PV) concerning the surrounding environment, especially irradiation and temperature, affects the resulting output. Therefore, the correlation between environmental parameters and PV's energy needs to be studied. This paper presents a design for measuring solar PV parameters monitored on a laboratory scale. The monitoring is based on internet of things (IoT) technology analyzed in realtime. The system was tested in various weather conditions for 18 hours. The results obtained indicate that the output voltage was influenced by the lighting factor of the PV and the surrounding temperature.

Research paper thumbnail of A laboratory scale IoT-based measuring of the solar photovoltaic parameters

International Journal of Reconfigurable and Embedded Systems , 2022

Harvesting solar energy as a renewable energy source has received significant attention through s... more Harvesting solar energy as a renewable energy source has received significant attention through serious studies that could be applied massively. However, the nonlinear nature of photovoltaic (PV) concerning the surrounding environment, especially irradiation and temperature, affects the resulting output. Therefore, the correlation between environmental parameters and PV's energy needs to be studied. This paper presents a design for measuring solar PV parameters monitored on a laboratory scale. The monitoring is based on internet of things (IoT) technology analyzed in realtime. The system was tested in various weather conditions for 18 hours. The results obtained indicate that the output voltage was influenced by the lighting factor of the PV and the surrounding temperature.

Research paper thumbnail of Internet of things-based photovoltaics parameter monitoring system using NodeMCU ESP8266

International Journal of Electrical and Computer Engineering (IJECE), 2021

The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature ... more The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature for remote monitoring, supervising, and performance evaluation. Furthermore, it improves the long-term viability, consistency, efficiency, and system maintenance of energy production. However, previous researchers' proposed PV monitoring systems are relatively complex and expensive. Furthermore, the existing systems do not have any backup data, which means that the acquired data could be lost if the network connection fails. This paper presents a simple and low-cost IoT-based PV parameter monitoring system, with additional backup data stored on a microSD card. A NodeMCU ESP8266 development board is chosen as the main controller because it is a system-on-chip (SOC) microcontroller with integrated Wi-Fi and low-power support, all in one chip to reduce the cost of the proposed system. The solar irradiance, ambient temperature, PV output voltage and PV output current, are measured with p...

Research paper thumbnail of A review of recent advances in metaheuristic maximum power point tracking algorithms for solar photovoltaic systems under the partial-shading conditions

Indonesian Journal of Science & Technology, 2022

Several maximum power point (MPP) tracking algorithms for solar power or photovoltaic (PV) system... more Several maximum power point (MPP) tracking algorithms for solar
power or photovoltaic (PV) systems concerning partial-shading
conditions have been studied and reviewed using conventional or
advanced methods. The standard MPPT algorithms for partialshading conditions are: (i) conventional; (ii) mathematics-based;
(iii) artificial intelligence; (iv) metaheuristic. The main problems of
the conventional methods are poor power harvesting and low
efficiency due to many local maximum appearances and difficulty
in determining the global maximum tracking. This paper presents
MPPT algorithms for partial-shading conditions, mainly
metaheuristics algorithms. Firstly, the four classification
algorithms will be reviewed. Secondly, an in-depth review of the
metaheuristic algorithms is presented. Remarkably, 40
metaheuristic algorithms are classified into four classes for a more
detailed discussion; physics-based, biology-based, sociologybased, and human behavior-based are presented and evaluated
comprehensively. Furthermore, the performance comparison of
the 40 metaheuristic algorithms in terms of complexity level,
converter type, sensor requirement, steady-state oscillation,
tracking capability, cost, and grid connection are synthesized.
Generally, readers can choose the most appropriate algorithms
according to application necessities and system conditions. This
study can be considered a valuable reference for in-depth works
on current related issues.

Research paper thumbnail of Internet of things-based photovoltaics parameter monitoring system using NodeMCU ESP8266

International Journal of Electrical and Computer Engineering (IJECE), 2021

The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical featur... more The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature for remote monitoring, supervising, and performance evaluation. Furthermore, it improves the long-term viability, consistency, efficiency, and system maintenance of energy production. However, previous researchers' proposed PV monitoring systems are relatively complex and expensive. Furthermore, the existing systems do not have any backup data, which means that the acquired data could be lost if the network connection fails. This paper presents a simple and low-cost IoT-based PV parameter monitoring system, with additional backup data stored on a MicroSD card. A NodeMCU ESP8266 development board is chosen as the main controller because it is a system-on-chip (SOC) microcontroller with integrated Wi-Fi and low-power support, all in one chip to reduce the cost of the proposed system. The solar irradiance, ambient temperature, PV output voltage and PV output current, are measured with photo-diodes, DHT22, impedance dividers and ACS712. While, the PV output power is a product of the PV voltage and PV current. ThingSpeak, an open-source software, is used as a cloud database and data monitoring tool in the form of interactive graphics. The results showed that the system was designed to be highly accurate, reliable, simple to use, and low-cost.

Research paper thumbnail of Machine Vision-based Obstacle Avoidance for Mobile Robot

Jurnal Ilmiah Teknik Elektro Komputer dan Informatika