scholarly journals Digital Control System for Solar Power plant using IoT

2019 ◽  
Vol 8 (2) ◽  
pp. 3394-3396
Keyword(s):  
Power Plant ◽  
Solar Power ◽  
Renewable Energy Sources ◽  
Weather Conditions ◽  
Modern Technology ◽  
Solar Power Plant ◽  
Solar Panels ◽  
Power Monitoring ◽  
Mechanical Devices ◽  
Computing Machines

The Internet of Things (IoT) or Web of Things (WoT) is a modern technology which is relating computing machines with digital and mechanical devices and various objects. Today energy crisis is one of the major issues in the world. To overcome this issue, different renewable energy sources are being used. Nowadays solar energy has become a best alternative resource for satisfying power demands. Selected Solar power plant for implementation is of 1 MW capacity and generating power of 1.5 Million units per year with the use of Poly crystalline type of solar panel technology. Currently this power plant is monitored by PLC. All records of energy can be monitored only at plant on SCADA Device. In this Proposed work, we develop a model of online solar power monitoring as well as controlling so authorized person can monitor or control panels remotely by home also. As per the change in the atmospheric or weather conditions, user can control the solar panels also.

A Study of IoT based Real-Time Solar Power Remote Monitoring System

2021 ◽  
Vol 9 (2) ◽  
pp. 27-36
Author(s):  
Sheikh Hasib Cheragee ◽  
Nazmul Hassan ◽  
Sakil Ahammed ◽  
Abu Zafor Md. Touhidul Islam
Keyword(s):  
Power Plant ◽  
Real Time ◽  
Monitoring System ◽  
Power Output ◽  
Solar Power ◽  
Solar Power Plant ◽  
Solar Pv ◽  
Time Data ◽  
Power Monitoring ◽  
Remote Monitoring System

We have Developed an IoT-based real-time solar power monitoring system in this paper. It seeks an opensource IoT solution that can collect real-time data and continuously monitor the power output and environmental conditions of a photovoltaic panel.The Objective of this work is to continuously monitor the status of various parameters associated with solar systems through sensors without visiting manually, saving time and ensures efficient power output from PV panels while monitoring for faulty solar panels, weather conditionsand other such issues that affect solar effectiveness.Manually, the user must use a multimeter to determine what value of measurement of the system is appropriate for appliance consumers, which is difficult for the larger System. But the Solar Energy Monitoring system is designed to make it easier for users to use the solar system.This system is comprised of a microcontroller (Node MCU), a PV panel, sensors (INA219 Current Module, Digital Temperature Sensor, LDR), a Battery Charger Module, and a battery. The data from the PV panels and other appliances are sent to the cloud (Thingspeak) via the internet using IoT technology and a Wi-Fi module (NodeMCU). It also allows users in remote areas to monitor the parameters of the solar power plant using connected devices. The user can view the current, previous, and average parameters of the solar PV system, such as voltage, current, temperature, and light intensity using a Graphical User Interface. This will facilitate fault detection and maintenance of the solar power plant easier and saves time.

Pengembangan Sistem Pengaturan Suplai Beban (Ats) Pada Pembangkit Listrik Tenaga Hibrid Berbasiskan Mikrokontroler

Kilat ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 261-271
Author(s):  
Sugeng Purwanto
Keyword(s):  
Power Plant ◽  
Alternative Energy ◽  
Power Plants ◽  
Solar Power ◽  
Electrical Energy ◽  
Solar Power Plant ◽  
Solar Panels ◽  
Hybrid Power ◽  
Solar Power Plants ◽  
One Year

ABSTRACT Renewable energy is potential alternative energy to replace the central role of fossil energy which has been going on since the early 20th century. The solar power plant is alternative energy, especially for households and industry, and can be designed as a hybrid power plant consisting of solar panels, batteries, an automatic transfer switch (ATS), and a grid. This research will focus on developing ATS based on a microcontroller. It functions to regulate the load supply automatically from the three sources of electrical energy, like solar panels, batteries, and grid while the microcontroller functions to monitor the transfer of power from the solar power plant to grid and voltage movements in the system so that current and voltage data can be recorded from time to time to improve system reliability, effectiveness, and efficiency of the tool. ATS components consist of MCB, magnetic contactor, timer H3CR, relay, 2000VA inverter, solar charge controller 100A, NodeMCU ESP8266 IoT, and battery 12V 100AH. This research is conducted in one year to produce ATS based on a microcontroller that can automatically regulate the supply of loads from the three sources of electrical energy with a good level of efficiency and stability.  Keywords: solar power plants, hybrid power plants, an automatic transfer switch.  ABSTRAK Energi baru terbarukan merupakan energi alternatif yang potensial untuk menggantikan peran sentral dari energi fosil yang telah berlangsung sejak awal abad ke 20. PLTS merupakan salah satu energi alternatif penyedia energi listrik untuk rumah tangga dan industri serta dapat dirancang sebagai sistem pembangkit listrik tenaga hibrid (PLTH) yang terdiri dari panel surya, baterai, sistem pengaturan beban atau ATS (automatic transfer switch) dan jaringan PLN. Peneltian difokuskan pada pengembangan sistem ATS berbasiskan mikrokontroler. ATS berfungsi untuk mengatur suplai beban secara otomatis dari ketiga sumber energi listrik yaitu panel surya, baterai dan PLN sedangkan mikrokontroler berfungsi memonitor perpindahan daya dari PLTS ke sumber PLN dan pergerakan tegangan pada sistem sehingga dapat dilakukan pencatatan data arus dan tegangan dari waktu ke waktu sehingga dapat meningkatkan keandalan sistem, efektifitas dan efisiensi alat. Komponen ATS terdiri dari MCB, magnetic contactor, timer H3CR, relay, inverter 2000VA, solar charge controller 100A, NodeMCU ESP8266 IoT, dan baterai 12V 100Ah. Penelitian ini akan dilakukan dalam periode satu tahun menghasilkan ATS berbasiskan mikrokontroler yang dapat mengatur suplai beban secara otomatis dari ketiga sumber energi listrik dengan tingkat efisiensi dan kestabilan yang baik. Tim penelitian ini tediri dari 3 orang dan berasal dari program studi teknik elektro, IT PLN.  Kata kunci: pembangkit listrik tenaga surya, pembangkit listrik tenaga hibrid, pengaturan suplai beban.

scholarly journals GIS BASED SOLAR POWER PLANTS SITE SELECTION USING ANALYTIC HIERARCHY PROCESS (AHP) IN ISTANBUL, TURKEY

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1353-1360 ◽  
Author(s):  
A. Tunc ◽  
G. Tuncay ◽  
Z. Alacakanat ◽  
F. S. Sevimli
Keyword(s):  
Renewable Energy ◽  
Power Plant ◽  
Solar Energy ◽  
Site Selection ◽  
Solar Power ◽  
Renewable Energy Sources ◽  
Impact Factors ◽  
Solar Power Plant ◽  
Plant Site ◽  
Hierarchy Process

<p><strong>Abstract.</strong> Today, countries are shifting their energy policies towards to renewable energy sources. The main reasons for this can be summarized as the reduction of fossil fuel resources, resulting in cost increase and their harmful effect on the ecological balance. Since renewable energy sources are both economical and eco-friendly, for countries which have high solar energy potential such as Turkey, it is reasonable to direct their energy policies to solar energy which is a renewable energy source.</p><p>In this study, the development of renewable energy legislation in Turkey, from past to present has been examined and implementation steps for the licenced and unlicensed generation of electricity from solar energy have been introduced. Ten impact factors have been identified as the first step for the implementation of the solar power plant site selection in Istanbul, which was determined as the pilot region. Impact factors weighted using Analytical Hierarchy Process (AHP) method. Concurrently, the weights of these determined impact factors were compared with the weights obtained by evaluating the results of the “Evaluation of Solar Energy Power Plant Site Selection Factors” survey conducted during the study. After obtaining the weights, the relevant data were collected and the necessary analyses were performed with the help of the GIS software and the most suitable places were provided for the solar power plant for Istanbul.</p>

Design of Monitoring Battery Solar Power Plant and Load Control System based Internet of Things

Teknik ◽  
2021 ◽  
Vol 42 (1) ◽  
pp. 35-44
Author(s):  
Riza Alfita ◽  
Koko Joni ◽  
Fajar Dwika Darmawan
Keyword(s):  
Control System ◽  
Power Plant ◽  
Internet Of Things ◽  
Power Consumption ◽  
Solar Power ◽  
Load Control ◽  
Average Error ◽  
Solar Power Plant ◽  
Power Monitoring ◽  
Internet Of Things Technology

Internet of Things technology in this research is utilized on solar power plant (Case Study: Electrical Engineering Department of Trunojoyo Madura University) as a battery power monitoring and load control system. All of these systems were built to make it easier for users to manage the power consumption while preventing battery damage so that lifetime can last longer and the use of PLTS than more optimal. All of these systems are designed to use several integrated components with their respective functions, including Raspberry as a data processing, smartphone as an interface, and sensors actuator as input-output. From the results of the monitoring accuracy test, the average error value is 1.56%. After ensuring the system has a high level of accuracy, The charge-discharge test is conducted in real-time for 7 days, which shows that the system works according to the research objectives as evidenced by the nothingness of power consumption exceeding the SOC standard limit battery used by 30%. Meanwhile, for the control system test, the wifi connection has the fastest average delay for 10,30 s, provider A 11,17 s, and provider B 12,60 s.

scholarly journals Solar Power Plant Generation Short-Term Forecasting Model

2018 ◽  
Vol 208 ◽  
pp. 04004
Author(s):  
Stanislav Eroshenko ◽  
Elena Kochneva ◽  
Pavel Kruchkov ◽  
Aleksandra Khalyasmaa
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Solar Power ◽  
Weather Conditions ◽  
Solar Power Plant ◽  
Short Term ◽  
Variable Capacity ◽  
Solar Power Plants ◽  
Rapid Pace ◽  
Short Term Forecasting

Recently, renewable generation plays an increasingly important role in the energy balance. Solar energy is developing at a rapid pace, while the solar power plants output depends on weather conditions. Solar power plant output short-term forecasting is an urgent issue. The future electricity generation qualitative forecasts allow electricity producers and network operators to actively manage the variable capacity of solar power plants, and thereby to optimally integrate the solar resources into the country's overall power system. The article presents one of the possible approaches to the solution of the short-term forecasting problem of a solar power plant output.

Performance of parabolic through solar power plant under weather conditions of the Oujda city in Morocco

2017 ◽  
Vol 53 (1) ◽  
pp. 45-52 ◽  
Author(s):  
H. Ait Lahoussine Ouali ◽  
R. Guechchati ◽  
M. A. Moussaoui ◽  
A. Mezrhab
Keyword(s):  
Power Plant ◽  
Solar Power ◽  
Weather Conditions ◽  
Solar Power Plant

scholarly journals Improving the energy efficiency of a solar power plant

2020 ◽  
pp. 132-143
Author(s):  
I. R. Vashchyshak ◽  
V. S Tsykh
Keyword(s):  
Energy Efficiency ◽  
Power Plant ◽  
Power Plants ◽  
Solar Power ◽  
Solar Power Plant ◽  
Solar Panels ◽  
The South ◽  
Inclination Angles ◽  
Fixed Power ◽  
Solar Power Plants

The urgency of the work is due to the feasibility of increasing the energy efficiency of solar power plants through the use of solar energy concentrators. Ways to improve the energy efficiency of solar panels using a sys-tem of directional mirrors, flat Fresnel lenses, spherical concentrators and trackers have been investigated. It is established that the most optimal way to improve the energy efficiency of solar panels is to use inexpensive track-ers with a simple design. The analysis of known types of solar panels, which differ in materials from which their elements are made, and the coefficients of efficiency – dependence of energy produced by a photocell on the intensity of solar radiation per unit of its surface has been carried out, and the type of solar panels by the criterion “price-quality” has been selected. A tracker design has been developed to track the angle of inclination of solar panels to increase efficiency. The electricity generated by the proposed solar power plant was calculated using an online calculator. It is projected to reduce losses when generating electricity for a given power plant due to the use of a tracker compared to a fixed power system, with the same number of solar panels. In order to reduce the cost of the tracker, it is suggested to orientate it to the south at once, and to change the inclination angles twice a year (in early April and late August). The energy efficiency of the power plant is calculated in two stages. At the first stage the amount of electricity from solar panels per year when adjusting only the angle of inclination of the panels to the south is calculated. At the second stage energy efficiency of the power plant is calculated taking into account the increase of energy efficiency of the solar power plant when using the tracker system. The calculated electricity generation of the proposed solar power plant with tracker confirmed the efficiency and feasibility of using the designed tracker system. The application of the designed tracker system allows to increase the energy efficiency of solar panels by an average of 25%.

scholarly journals Cooperative Robot System for Fault Diagnosis of Solar Panels at Mega Solar Power Plant

2017 ◽  
Vol 53 (1) ◽  
pp. 22-30
Author(s):  
Mitsuru ENDO ◽  
Mai ENDO ◽  
Takao KAKIZAKI ◽  
Yasuhiro NAKAMURA ◽  
Tsukasa HEBIISHI ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Power Plant ◽  
Solar Power ◽  
Solar Power Plant ◽  
Solar Panels ◽  
Robot System
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