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Iot Based Solar Pv Charge Controller Using Machine Learning Technique

Abstract: ABSTRACT IOT BASED SOLAR PV CHARGE CONTROLLER USING MACHINE LEARNING TECHNIQUE Internet of Things (IoT) innovations with brilliant sensors assume a fundamental part in observing and control applications in numerous spaces. The IoT empowers an item to be detected or remotely worked over set up networks, set out open doors for combination of the ongoing climate into PC based courses of action, advance to build proficiency, exactness, business benefit and limit human intercession. Renewable energy systems (RES) are dependable commonly; the sun and wind are hypothetically unlimited assets. From the beginnings of the power frameworks, the worry was to know "how much" energy will be produced. At first, there were voltmeters and power meters; these days, there are substantially more progressed sun based regulators, with little shows and inherent modules that handle large information. Control and checking of sun powered photovoltaic frameworks with savvy sensors can enormously improve the exhibition of the plant. This part investigates how to screen the sun based Photovoltaic (PV) framework utilizing IoT, and different remote checking strategies are tended to. Too, it explains on the constant execution of savvy sensors utilized in the sustainable power framework what's more its difficulties for certain arrangements.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
08 December 2021
Publication Number
51/2021
Publication Type
INA
Invention Field
MECHANICAL ENGINEERING
Status
Email
senanipindia@gmail.com
Parent Application

Applicants

1. Dr. T.ARUN SRINIVAS
ASSISTANT PROFESSOR, DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, JP COLLEGE OF ENGINEERING, AGARAKATTU, TENKASI DISTRICT, TAMIL NADU, INDIA – 627852
2. Dr. SUJIT KUMAR
ASSISTANT PROFESSOR, DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, JAIN (DEEMED-TO-BE UNIVERSITY), BENGALURU, 45TH KM NH - 209 JAKKASANDRA POST, KANAKAPURA RD, BENGALURU, KARNATAKA 562112
3. Mrs. G.MERLIN SUBA
ASSISTANT PROFESSOR(GRADE-I) DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, PANIMALAR ENGINEERING COLLEGE,BANGALORE TRUNK ROAD, VARADHARAJAPURAM, NAZARETHPETTAI, POONAMALLEE, CHENNAI, TAMIL NADU 600123
4. Dr. R. ELAVARASU
ASSOCIATE PROFESSOR, DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, RAJALAKSHMI INSTITUTE OF TECHNOLOGY, KUTHAMBAKKAM POST, NATIONAL HIGHWAY 4, CHEMBARAMBAKKAM, CHENNAI, TAMIL NADU 600124
5. Dr. S.RAMESH
HOD & ASSISTANT PROFESSOR (SR.GRADE), St. MOTHER THERESA ENGINEERING COLLEGE, VAGAIKULAM, MUDIVAITHANENTHAL POST, THOOTHUKUDI DIST. - 628102 TAMIL NADU, INDIA.
6. Dr. GARIMA SRIVASTAVA
EX. HOD & ASSISTANT PROFESSOR DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING Dr. K. N. MODI INSTITUTE OF ENGINEERING & TECHNOLOGY , KAPDA MILL OPPOSITE SBI MAIN BRANCH, MODINAGAR, UTTAR PRADESH 201204, INDIA.

Inventors

1. Dr. T.ARUN SRINIVAS
ASSISTANT PROFESSOR, DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, JP COLLEGE OF ENGINEERING, AGARAKATTU, TENKASI DISTRICT, TAMIL NADU, INDIA – 627852
2. Dr. SUJIT KUMAR
ASSISTANT PROFESSOR, DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, JAIN (DEEMED-TO-BE UNIVERSITY), BENGALURU, 45TH KM NH - 209 JAKKASANDRA POST, KANAKAPURA RD, BENGALURU, KARNATAKA 562112
3. Mrs. G.MERLIN SUBA
ASSISTANT PROFESSOR(GRADE-I) DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, PANIMALAR ENGINEERING COLLEGE,BANGALORE TRUNK ROAD, VARADHARAJAPURAM, NAZARETHPETTAI, POONAMALLEE, CHENNAI, TAMIL NADU 600123
4. Dr. R. ELAVARASU
ASSOCIATE PROFESSOR, DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, RAJALAKSHMI INSTITUTE OF TECHNOLOGY, KUTHAMBAKKAM POST, NATIONAL HIGHWAY 4, CHEMBARAMBAKKAM, CHENNAI, TAMIL NADU 600124
5. Dr. S.RAMESH
HOD & ASSISTANT PROFESSOR (SR.GRADE), St. MOTHER THERESA ENGINEERING COLLEGE, VAGAIKULAM, MUDIVAITHANENTHAL POST, THOOTHUKUDI DIST. - 628102 TAMIL NADU, INDIA.
6. Dr. GARIMA SRIVASTAVA
EX. HOD & ASSISTANT PROFESSOR DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING Dr. K. N. MODI INSTITUTE OF ENGINEERING & TECHNOLOGY , KAPDA MILL OPPOSITE SBI MAIN BRANCH, MODINAGAR, UTTAR PRADESH 201204, INDIA.

Specification

Claims:CLAIM (S)
1. Solar photovoltaic (PV) system enabled with Iot and Machine Learning Techniques comprising sunlight based cell or photovoltaic cell is intended to notice solar energy and produce electric power. The boards are comprised of various retaining materials and each board varies due to different assembling techniques and quality.
2. According to claim 1,wherein the boards accessible in the market are for the most part made of silicon; one of these kinds is slight film sun powered cells. A photovoltaic or solar cell is intended to notice sun powered energy and produce electric power.
3. According to claim 1,wherein the boards are comprised of various engrossing materials and each board varies due to different assembling techniques and quality. Diverse applications of solar power PV system.
4. According to claim 1,wherein the The micro-grid network in a little sunlight based matrix that chips away at its own to supply power to a certain number of burdens in limited scope regions. Notwithstanding principal parts, it likewise requires circulation links for power supply and a few gadgets that shield the framework.
5. According to claim 1,wherein the Solar PV framework, when the gadget is associated with a cloud organization, the distinguishing proof of the beginning of the issue can be fixed before it disturbs the entire framework. For instance, clients may see the framework is working impeccably yet there may some issue with the gadgets; without IoT it would be hard to break down where the issue happened, by the same token in equipment or programming
6. According to claim 1,wherein the developed system has extreme advantages of utilizing sun based energy are its accessibility, free energy and less ecological effect. IoT is one of the creating patterns in the PV framework. Observing PV framework utilizing IoT empowers mechanized checking of sun based power from wherever with web associations
7. According to claim 1,wherein the proposed system would aid to signify the level and opportunity for the remote monitoring execution for real-time assessment and effectual load scheduling
, Description:The following specification particularly describes the invention and the manner in which it is to be performed.
FIELD OF INVENTION
The present invention relates to solar photovoltaic (PV) system enabled with Iot and Machine Learning Techniques.
PRIOR ART
Arrangement of fundamental energy administrations to individuals is a test world over and especially in emerging nations as energy access is critical to comprehensive and maintainable monetary development. Regular energy sources like coal, oil, and so on is by and large logically exhausted, and consuming or potentially moving them is a significant reason for contamination and natural harm. Accordingly, individuals as a general rule, and state run administrations specifically, are searching for ways of getting sustainable power frameworks dispatched and into standard use, both for energy security and furthermore for the climate. Sun based Photovoltaic (PV) power is perfect and establishes limitless wellspring of energy and it is ecologically, socially and financially practical, along these lines is presumably the best innovation among all environmentally friendly power sources and should be viewed as fundamental for meeting current and future energy needs. In this way a lot of establishment of both off-network and framework tied sun based PV framework has been created and put to use lately. While pondering the utilization of a sunlight based PV framework, evaluate what is the expense of the framework and how much energy the framework can deliver as indicated by area, and framework change proficiency. Numerous framework tied sun oriented PV frameworks have been introduced in India as of late chiefly because of descending propensity of the expense of such frameworks, and strategy making and endowment given by both state and focal Governments support these sorts of sustainable power innovations. Huge consideration has been given to the establishment of off-matrix PV frameworks on the grounds that off-lattice framework comprises a quick arrangement in regions where the network foundation is as yet missing or there is regular power cuts. For smooth, protected and ideal activity, PV frameworks ought to be routinely observed and assessed.
CN105744692A: Provided is a sun based streetlight framework base on IOT (Internet of Things), mostly containing a sun powered photovoltaic board, a DC/DC converter, an aggregator, a streetlight set, a regulator, a GPRS module, an administration community, a GPRS organization and a sensor module. The sun powered streetlight framework can save wire assets and labor assets, and is harmless to the ecosystem, energy-saving, savvy and adapted.
WO2016135508A1: A Solar Home System includes photovoltaic boards (1), battery-powered batteries (2), a framework regulator (3) and at least one loads and gives an insightful and versatile activity. This activity streamlines the sun powered charging and afterward changes the result for every gadget on the framework to coordinate with anticipated utilization designs that are created by following ordinary use.
CN204829673U: The utility model identifies with an energy - monitoring lighting arrangement of reciprocal LED of scene insight has a place with electron specialized field. Energy - saving lighting arrangement of correlative LED of scene insight comprises its described in that including LED light, singlechip, warm infrared sensor, light touchy resister, aerogenerator, sun oriented photovoltaic board, regulator, battery and dc - to - ac converter: it simply has the dc - to - ac converter over that to be outfitted with the battery at the streetlight base, sets up warm infrared sensor all the while at within singlechip that is furnished with of its shaft on the post that with regards to senior one rice goes out separated from the street surface, is furnished with aerogenerator surpassing one meter of pinnacle of the staff, and its underneath is outfitted with sun powered photovoltaic board and light delicate resister, is furnished with the LED light eye to eye at the light delicate resister. The utility model reveals straightforward construction, adaptable activity, minimal expense, energy - concerving and climate - defensive, can as per somebody light forcibly then the light don't work, then, at that point, the light is splendid somewhat less than somebody light, automated light forcibly then the light don't work, somewhat less than the automated light then the light don't attempt to utilize sun powered energy, wind energy to give the energy as the LED light.
CN202132858U: The utility model reveals a sun based energy yard light. The sunlight based energy yard light includes a light post and a LED light organized on the light post through an associating pole, and is described in that the sun oriented energy patio light further involves a sun powered charger, a capacity cell and a control framework, wherein the sunlight based charger is organized at the highest point of the light post and associated with the capacity cell through the control framework, the capacity cell is associated with the LED light, and the LED light is spoken with the control framework simultaneously. The sun based energy yard light takes on the sun powered charger to change over the sun oriented energy into electric energy in day time, and the electric energy is put away in the capacity cell to work with the enlightenment of the patio light around evening time, so that fuel isn't needed. The patio light enjoys the benefits of energy preservation, no energy utilization and contamination removal, long assistance life, security and unwavering quality, no clamor, accommodation in mounting and so forth, and is very appropriate for locale with complex geography and deficiency of transmission offices.
The innovation identifies with further developing the power point tracker and streamlines the web of things based photovoltaic (PV) charge regulator utilizing the AI procedure. As a methodology, the four-sun innovation based sun oriented PV board was taken and it was directed to the Maximum Power Point Tracking (MPPT) framework which incorporates the DC-DC (Direct Current) help converter and Support Vector Machine (SVM) to foresee the result voltage. It then, at that point, utilizes the Proportional Integral Derivative (PID) for keeping a steady result voltage. To change over and further to check the security of the voltage it is taken care of through the miniature inverter which will modify the DC to AC (Alternative Current) voltage and produces a text utilizing the Arduino miniature regulator.
NON-PATENT LITERATURE STUDY
1. Ramu, Senthil Kumar, Gerald Christopher Raj Irudayaraj, and Rajarajan Elango. "An IoT‐Based Smart Monitoring Scheme for Solar PV Applications." Electrical and Electronic Devices, Circuits, and Materials: Technological Challenges and Solutions (2021): 211-233.
2. Preda, Stefan, Simona-Vasilica Oprea, and Adela Bâra. "PV forecasting using support vector machine learning in a big data analytics context." Symmetry 10, no. 12 (2018): 748.
3. Khan, S.S. Modeling and Operating Strategies of Micro-Grids for Renewable Energy Communities. In Renewable and Alternative Energy: Concepts, Methodologies, Tools, and Applications; IGI Global: Hershey, PA, USA, 2017; pp. 735–760.

RESEARCH STATEMENT
The fundamental issue that emerges in observing the result force of the photovoltaic framework is the exactness and time term for the recognition of the shortcoming and the suitable answer for it. The best methodology for managing such sort of issues is the Web of Things [1]. It is the new idea which has arisen as of late and has acquired a great deal of consideration in a couple of years. It very well may be by and large clarified as a data sharing climate where components of the framework are joined to a remote furthermore wired organization [2]. Nowadays, this idea isn't just material in the field of gadgets yet in addition in the space of home machines, brilliant vehicles, modern security, and so forth for the people and organizations related with sunlight powered chargers, the IoT makes it conceivable to build the MPPT unwavering quality and execution of the framework [3]. Schematic representation of IoT-Based Controller Realization for PV System Monitoring and Control was displayed (Figure. 1).

Figure. 1. An IoT-Based Controller Realization for PV System Control and Monitoring.

RESEARCH METHODOLOGY
SOLAR PV SYSTEMS
Solar based energy is effectively possible and it isn't spent totally and can be reusable. Solar based power can be utilized in numerous ways for various purposes. For instance, to utilizing the energy, we definitely need an amplifying glass to be centered on the paper. At the point when the centralization of sun oriented power as sun beams is expanded on the invention, the paper begins consuming. A sunlight based cell or photovoltaic cell is intended to notice solar energy and produce electric power. The boards are comprised of various retaining materials and each board varies due to different assembling techniques and quality. Most of the boards accessible in the market are for the most part made of silicon; one of these kinds is slight film sun powered cells. A photovoltaic or solar cell is intended to notice sun powered energy and produce electric power. The boards are comprised of various engrossing materials and each board varies due to different assembling techniques and quality. Diverse applications of solar power PV system were displayed (Figure. 2). The micro-grid network in a little sunlight based matrix that chips away at its own to supply power to a certain number of burdens in limited scope regions. Notwithstanding principal parts, it likewise requires circulation links for power supply and a few gadgets that shield the framework. Schematic view of the proposed IOT based PV charge controller system was displayed (Figure. 3).

Figure. 2. Different applications of stand-alone PV system.
COMPONENTS
S. NO. Components Required Image
1. PV Modules
2. Battery
3. Charge controller
4. Solar Array Mounting
5. Cable Connectors
6. Inverter
7. Sensors
8. Raspberry Pi


Figure. 3. Schematic view of proposed PV monitoring system based on IoT.

In a Solar PV framework, when the gadget is associated with a cloud organization, the distinguishing proof of the beginning of the issue can be fixed before it disturbs the entire framework. For instance, clients may see the framework is working impeccably yet there may some issue with the gadgets; without IoT it would be hard to break down where the issue happened, by the same token in equipment or programming. The IoT gives the discernment to distinguish blunders progressively and issues can be settled rapidly as the wellspring of the blunder would be known through IoT. The gadget will be less impacted by blackouts and issues when utilizing IoT. By outfitting across the board edge to cloud IoT answers for partner with every single sun oriented resource, it would be simpler to make due the biggest sun powered frameworks. Also, IoT in sunlight based energy can prompt an ascent in power quality also execution. This outcomes in energy creation being effective in both expense and systemization. The implementation of big-data subsystem was achieved (Figure. 4).

Figure. 4. Schematic view of architecture of the proposed big data sub-system for PV charge controller.

The developed system has extreme advantages of utilizing sun based energy are its accessibility, free energy and less ecological effect. IoT is one of the creating patterns in the PV framework. Observing PV framework utilizing IoT empowers mechanized checking of sun based power from wherever with web associations. It plays out a critical job in getting to command over the PV framework set at far off areas or significant distances from control region. Additionally, clients can effectively recognize various kinds of flaws and record the general achievement of the framework. Overall, the proposed system would aid to signify the level and opportunity for the remote monitoring execution for real-time assessment and effectual load scheduling.

Documents

Application Documents

# Name Date
1 202141056942-STATEMENT OF UNDERTAKING (FORM 3) [08-12-2021(online)].pdf 2021-12-08
2 202141056942-REQUEST FOR EARLY PUBLICATION(FORM-9) [08-12-2021(online)].pdf 2021-12-08
3 202141056942-FORM-9 [08-12-2021(online)].pdf 2021-12-08
4 202141056942-FORM 1 [08-12-2021(online)].pdf 2021-12-08
5 202141056942-DECLARATION OF INVENTORSHIP (FORM 5) [08-12-2021(online)].pdf 2021-12-08
6 202141056942-COMPLETE SPECIFICATION [08-12-2021(online)].pdf 2021-12-08