Online Monitoring of Distributed Generation Systems (original) (raw)
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A smart monitoring infrastructure design for distributed renewable energy systems
Energy Conversion and Management, 2015
The automatic meter reading is essentially required in renewable grids as in conventional grids. It is intended to propose a reliable measurement system that is validated in a photovoltaic power system to meet the requirement of a renewable grid. In the presented study, the photovoltaic plants are controlled by using a widely known maximum power point tracking algorithm that is named as ''Perturb and Observe''. The distribution line at the output of inverter is modelled according to realistic parameters of 25 km line. Besides carrying the generated line voltage, the grid is used as a transmission medium for the generated power measurements of photovoltaic plants and power consumptions of load plants separately. The modem constituting the power line communication manages the dual-channel transfer and transmits the consumed energy ratios of the load plants. One of the modems is located at the output of voltage source inverter and the other one of the load plants. The power consumption values of each load plants are individually measured and successfully transmitted to monitoring section in the modelled system. The obtained data that is only used for monitoring in this application can also be evaluated for automatic meter reading applications.
Renewable energy sources (RES) are regard as an important alternative for significantly contributing to the sustainable energy supply in the world. Photovoltaic (PV) systems generate electricity from solar radiation. They are one of the most emerging RES technologies due to their continuous technological progress and their constant cost reduction. Monitoring PV systems is necessary to provide information that allows their holders to maintain, operate and control these systems, reducing installations costs and avoiding unwanted electric power disruptions. This paper presents an overview of remote monitoring solutions for PV installations along with the main proposals, commercial products and international experiences proposed in the literature. The paper is focused on three main features: i) consumption of data measuring and recording devices, ii) high storage requirements for certain conditions of data logging frequency or historical data series register, and iii) proprietary software provided by solar manufacturers. Furthermore, a detailed review of cloud-based platform for monitoring of PV systems is present. This review focuses on real experiences based on following features: i) low consumption wireless sensors to gather real-time information, ii) extreme scalability of the system, iii) huge amount of information (real-time data and periodic reports) to process, store and publish, and iV) a set of open source e-services and web applications. Finally, a proposal of new architecture for isolated PV monitoring systems in Ecuador is described.
The concept of integrated renewable energy has been a necessity for our fast-growing economies. However, most of the experimented integrated systems are facing large data management problems and this necessitates the need for smart configuration with Internet of Things (IOT). On an estate with houses that operate independent power systems, this research designed and implemented a 24-hour simulation of an integrated system that employed big data techniques for monitoring and controlling real time energy data from collaborative supplies with load priority selection options. It used Proteus software, Arduino uno, android app designed with HTML, CSS and JavaScript, and the web-based designed with PHP, MongoDB and JavaScript. Within a 3-hour schedule, the system underwent energy and load priority check to select preferred supply and suitable load. The operational level was displayed on both a mobile device and a hardware panel. Further research will be physical implementation.
A Study of IoT based Real-Time Solar Power Remote Monitoring System
2021
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...
Renewable Energy and Power Quality Journal
The increasing of photovoltaic plant installations at different scales promotes the development of monitoring systems that facilitate the communication, control and automation of the generating units, allowing to guarantee the predicted energy generation performance. Monitoring systems are composed of different interfaces that involve sensing and capturing data; conversion, treatment, pre-storage and transmission of data; and publishing and final storage through graphic interface. This article focuses on describing the growth of decentralized plants, as well as the increasing demand for monitoring and data acquisition system, commenting the limitations of current commercial models and presenting alternative developed monitoring systems with different platforms.
A SMART SOLAR PV MONITORING SYSTEM USING IOT
Renewable energy sources are proven to be reliable and accepted as the best alternative for fulfilling our increasing energy needs. Solar photovoltaic energy is the emerging and enticing clean technologies with zero carbon emission in today's world. To harness the solar power generation, it is indeed necessary to pay serious attention to its maintenance as well as application. The IoT based solar energy monitoring system is proposed to collect and analyzes the solar energy parameters to predict the performance for ensuring stable power generation. The main advantage of the system is to determine optimal performance for better maintenance of solar PV (photovoltaic). The prime target of PV monitoring system is to offer a cost-effective solution, which incessantly displays remote energy yields and its performance either on the computer or through smart phones. The proposed system is tested with a solar module of 125-watts to monitor string voltage, string current, temperature, and irradiance. This PV monitoring system is developed by a smart Wi-Fi enabled CC3200 microcontroller with latest embedded ARM processor that communicates and uploads the data in cloud platform with the Blynk application. Also the Wireless monitoring system maximizes the operational reliability of a PV system with minimum system cost.
Design and Implementation of IOT Enabled Smart Solar Power Monitoring System20200103 114175 1hdk8t3
The solar energy has a wide scope in the future. Solar power plants must need to be monitored for best possible power output. This helps retrieve efficient power output from power plants while monitoring for faulty solar panels, connections, and dust accumulated on panels lowering output and other such issues affecting solar performance. Therefore here we propose an IOT based solar power monitoring system that allows solar power monitoring automatically from anywhere over the internet. We use Arduino based intelligent system to monitor a 10Watt solar panel parameters. In this system frequently monitors the solar panel parameters and transmits the power output to IOT system over the internet automatically. In this project few solar energy parameters are calculated with help of various sensors. This project includes controller Arduino Uno; the software used will be Arduino IDE. We will calculate various parameters like Current, Voltage. For calculation of intensity we will see LDR sensor for current measurement the current sensor, for voltage we will use voltage divider representing the whole result of the calculated parameters the whole result of the calculated parameters will be displayed on 16×2 LCD. Which is interfaced with Arduino Uno for running the whole circuit we will use a 230/12 V step down transformer which reduce the A.C voltage to 12 volt. After that bridge rectifier is used to convert 12 V A.C. to12V D.C. The D.C voltage have some ripple contents which will be filtered through the filter circuit which is capacitive filter and for the microcontroller operation the whole 12V D.C supply will be reduce to +5V. The solar energy is huge source of energy in the globe. It is renewable energy resources thus there is no matter about its consumption This makes remotely monitoring of solar plants very easy and ensure best power output.
IoT based efficient solar panel monitoring
3C Tecnología. Glosas de innovación aplicadas a la pyme. ISSN: 2254 – 4143, 2020
The invention of smart grid has already outdated the conventional method of one way power production- supply concept. While developed countries have already started to adopt smart meters, appliances and renewable energy sources; underdeveloped and developing countries are still facing power shortages every day. In the second Industrial Revolution, electricity was the main advancement and the recent Industrial Revolution 4.0 has pushed giant Production companies into the adoption and promotion of Renewable Energy sources. The integration of IoT and power systems has revolutionized the world in terms of power efficiency and real time monitoring. This paper discusses an experimental work done on how IoT can monitor the power/voltage and current production of a standalone renewable energy source i.e. a solar panel. This paper also discusses how to improve the solar panel efficiency by correcting the tilt angle of the solar panel. The monitoring of the solar panel is done via an inter-connected system using NodeMCU, Node-RED, Arduino and an MQTT channel. The monitoring of solar panels can be made easier by implementing the proposed work in a photovoltaic (PV) power plant. Moreover the monitoring of energy production will greatly enhance the health of the PV system. A 24% increase in the power output has been noticed after the correction of the tilt angle which was corrected using a solar tracker. KEYWORDS IoT based Solar Panel, Solar monitoring, NodeMCU, Node-RED, MQTT, Tilt Correction using IoT, Azimuth Correction using IoT.
SN Applied Sciences, 2020
Smart grids exploit the capability of information and communication technologies especially internet of things, to improve the sustainability, quality and the performance of energy production and demand previsions, whereas reducing resource consumption and increasing renewable energies integration. This paper aims to present a cost-effective and open source internet of things solution that could collect in intelligent manner and monitor in real-time the produced power and environmental conditions of solar stations. The solution is designed as a laboratory prototype that could be extended to monitor large scale photovoltaic stations using small adjustments. The system also provides an alert to a remote user, when there is a deviation of solar power generation quality parameters from the predefined set of standard values.