scholarly journals Open-Source Hardware Platforms for Smart Converters with Cloud Connectivity

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 367 ◽  
Author(s):  
Massimo Merenda ◽  
Demetrio Iero ◽  
Giovanni Pangallo ◽  
Paolo Falduto ◽  
Giovanna Adinolfi ◽  
...  

This paper presents the design and hardware implementation of open-source hardware dedicated to smart converter systems development. Smart converters are simple or interleaved converters. They are equipped with controllers that are able to online impedance match for the maximum power transfer. These conversion systems are particularly feasible for photovoltaic and all renewable energies systems working in continuous changing operating conditions. Smart converters represent promising solutions in recent energetic scenarios, in fact their application is deepening and widening. In this context, the availability of a hardware platform could represent a useful tool. The platform was conceived and released as an open hardware instrument for academy and industry to benefit from the improvements brought by the researchers’ community. The usage of a novel, open-source platform would allow many developers to design smart converters, focusing on algorithms instead of electronics, which could result in a better overall development ecosystem and rapid growth in the number of smart converter applications. The platform itself is proposed as a benchmark in the development and testing of different maximum power point tracking algorithms. The designed system is capable of accurate code implementations, allowing the testing of different current and voltage-controlled algorithms for different renewable energies systems. The circuit features a bi-directional radio frequency communication channel that enables real-time reading of measurements and parameters, and remote modification of both algorithm types and settings. The proposed system was developed and successfully tested in laboratory with a solar module simulator and with real photovoltaic generators. Experimental results indicate state-of-art performances as a converter, while enhanced smart features pave the way to system-level management, real-time diagnostics, and on-the-flight parameters change. Furthermore, the deployment feasibility allows different combinations and arrangements of several energy sources, converters (both single and multi-converters), and modulation strategies. To our knowledge, this project remains the only open-source hardware smart converter platform used for educational, research, and industrial purposes so far.

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7650
Author(s):  
Isaías González ◽  
José María Portalo ◽  
Antonio José Calderón

Photovoltaic (PV) energy is a renewable energy resource which is being widely integrated in intelligent power grids, smart grids, and microgrids. To characterize and monitor the behavior of PV modules, current-voltage (I-V) curves are essential. In this regard, Internet of Things (IoT) technologies provide versatile and powerful tools, constituting a modern trend in the design of sensing and data acquisition systems for I-V curve tracing. This paper presents a novel I-V curve tracer based on IoT open-source hardware and software. Namely, a Raspberry Pi microcomputer composes the hardware level, whilst the applied software comprises mariaDB, Python, and Grafana. All the tasks required for curve tracing are automated: load sweep, data acquisition, data storage, communications, and real-time visualization. Modern and legacy communication protocols are handled for seamless data exchange with a programmable logic controller and a programmable load. The development of the system is expounded, and experimental results are reported to prove the suitability and validity of the proposal. In particular, I-V curve tracing of a monocrystalline PV generator under real operating conditions is successfully conducted.


2019 ◽  
Author(s):  
Lars Larson ◽  
Elad Levintal ◽  
Jose Manuel Lopez Alcala ◽  
Dr. Lloyd Nackley ◽  
Dr. John Selker ◽  
...  

Author(s):  
Chang-Gyu Cgseong ◽  
Jung-Yee Kim ◽  
Doo-Jin Park

<p>Recently, the Internet of things(IoT) has received great attention, and the demand for IOT applications in various fields is increasing. But drawbacks of IoT, such as having to use dedicated equipment and having to pay for a flat fee monthly, do not satisfy the consumers’ demands. These shortcomings of IoT is causing the appearance of users who try to design the environment of IoT that responds their demands and naturally, attempts to have monitoring system through open-source hardware like Arduino. Open source hardware has attracted a great deal of attention for the diffusion of the Internet of things as a key element of the Internet construction. The emergence of open source hardware, which has the advantage of low cost and easy and fast development, has made it possible to embody the idea of object Internet application services. In this paper, we design and implement a system that controls the objects in real time using open source hardware and MQTT protocol.</p>


2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Abdullah M. Noman ◽  
Khaled E. Addoweesh ◽  
Hussein M. Mashaly

Maximum power point trackers are so important in photovoltaic systems to improve their overall efficiency. This paper presents a photovoltaic system with maximum power point tracking facility. An intelligent fuzzy logic controller method is proposed in this paper to achieve the maximum power point tracking of PV modules. The system consists of a photovoltaic solar module connected to a DC-DC buck-boost converter. The system is modeled using MATLAB/SIMULINK. The system has been experienced under disturbance in the photovoltaic temperature and irradiation levels. The simulation results show that the proposed maximum power tracker tracks the maximum power accurately and successfully in all conditions tested. The MPPT system is then experimentally implemented. DSPACE is used in the implementation of the MPPT hardware setup for real-time control. Data acquisition and control system is implemented using dSPACE 1104 software and digital signal processor card. The simulation and practical results show that the proposed system tracked the maximum power accurately and successfully under all atmospheric conditions.


The development of solar energy has led to the construction of multiple many MW photovoltaic systems around the world. Wherever photovoltaic systems are built, it is first necessary to study the terrain, geographical location, weather conditions and various influencing factors on solar modules. To solve the above problems and study the influencing factors, the performance of photovoltaic modules in certain areas, specialized measuring devices are needed. The article describes a system for monitoring the parameters of the solar module, which measures air temperature, module temperature, solar radiation, wind speed, current-voltage characteristic, maximum power point (MPP), efficiency and fill factor (FF) with data stored in a computer. The system is based on a programmable microcontroller with a built-in analog-to-digital converter. The program code of the proposed system also has an algorithm for finding the maximum power point of the solar module. The system performs all measurements in real time and is convenient to use, since all parameters are measured automatically and are written to the computer in the form of tables. The paper examined the characteristics of alternative commercial measuring instruments for comparison with the proposed monitoring system. An electrical circuit for measuring currentvoltage characteristics and a circuit diagram of a monitoring system are proposed. Also shown are the measurement results in the form of graphs obtained with the device in real climatic conditions. In general, the developed monitoring system based on microcontrollers and additional digital sensors has a predominantly low cost of $ 72 and is easy to manufacture.


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