AU2021104360A4 - Matlab simulink based solar tracking on photovoltaic module - Google Patents
Matlab simulink based solar tracking on photovoltaic module Download PDFInfo
- Publication number
- AU2021104360A4 AU2021104360A4 AU2021104360A AU2021104360A AU2021104360A4 AU 2021104360 A4 AU2021104360 A4 AU 2021104360A4 AU 2021104360 A AU2021104360 A AU 2021104360A AU 2021104360 A AU2021104360 A AU 2021104360A AU 2021104360 A4 AU2021104360 A4 AU 2021104360A4
- Authority
- AU
- Australia
- Prior art keywords
- solar
- energy
- mppt
- neural network
- objective
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
- 238000000034 method Methods 0.000 claims description 20
- 230000001537 neural effect Effects 0.000 claims description 2
- 230000003094 perturbing effect Effects 0.000 claims description 2
- 230000000630 rising effect Effects 0.000 claims description 2
- 238000013528 artificial neural network Methods 0.000 abstract description 6
- 230000001154 acute effect Effects 0.000 abstract 1
- 230000008520 organization Effects 0.000 abstract 1
- 230000035515 penetration Effects 0.000 abstract 1
- 238000010200 validation analysis Methods 0.000 abstract 1
- 230000005855 radiation Effects 0.000 description 9
- JJWKPURADFRFRB-UHFFFAOYSA-N carbonyl sulfide Chemical compound O=C=S JJWKPURADFRFRB-UHFFFAOYSA-N 0.000 description 6
- 230000009466 transformation Effects 0.000 description 6
- 238000011161 development Methods 0.000 description 5
- 230000018109 developmental process Effects 0.000 description 5
- 239000004065 semiconductor Substances 0.000 description 5
- 230000007246 mechanism Effects 0.000 description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 4
- 239000002028 Biomass Substances 0.000 description 3
- 239000004215 Carbon black (E152) Substances 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 239000013078 crystal Substances 0.000 description 3
- ZZUFCTLCJUWOSV-UHFFFAOYSA-N furosemide Chemical compound C1=C(Cl)C(S(=O)(=O)N)=CC(C(O)=O)=C1NCC1=CC=CO1 ZZUFCTLCJUWOSV-UHFFFAOYSA-N 0.000 description 3
- 229930195733 hydrocarbon Natural products 0.000 description 3
- 150000002430 hydrocarbons Chemical class 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000012876 topography Methods 0.000 description 3
- 230000001131 transforming effect Effects 0.000 description 3
- 239000004429 Calibre Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 2
- 238000011109 contamination Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000003475 lamination Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000009194 climbing Effects 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010411 cooking Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 230000003292 diminished effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 239000011888 foil Substances 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 239000008236 heating water Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000029553 photosynthesis Effects 0.000 description 1
- 238000010672 photosynthesis Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000005086 pumping Methods 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
- 239000010703 silicon Substances 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 238000010408 sweeping Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
- G01S3/78—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using electromagnetic waves other than radio waves
- G01S3/782—Systems for determining direction or deviation from predetermined direction
- G01S3/785—Systems for determining direction or deviation from predetermined direction using adjustment of orientation of directivity characteristics of a detector or detector system to give a desired condition of signal derived from that detector or detector system
- G01S3/786—Systems for determining direction or deviation from predetermined direction using adjustment of orientation of directivity characteristics of a detector or detector system to give a desired condition of signal derived from that detector or detector system the desired condition being maintained automatically
- G01S3/7861—Solar tracking systems
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B11/00—Automatic controllers
- G05B11/01—Automatic controllers electric
- G05B11/36—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
- G05B11/42—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential for obtaining a characteristic which is both proportional and time-dependent, e.g. P. I., P. I. D.
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
- H02J2300/26—The renewable source being solar energy of photovoltaic origin involving maximum power point tracking control for photovoltaic sources
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S20/00—Supporting structures for PV modules
- H02S20/30—Supporting structures being movable or adjustable, e.g. for angle adjustment
- H02S20/32—Supporting structures being movable or adjustable, e.g. for angle adjustment specially adapted for solar tracking
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
Landscapes
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Electromagnetism (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Photovoltaic Devices (AREA)
Abstract
The need for renewable energy sources is on the rise because of the acute energy crisis in
the world today. India plans to produce 100 Gigawatts Solar power by the year 2022,
whereas we have only realized less than half a Gigawatt of our potential as of March 2021.
The Simulink model is tested with different temperature of different solar plants and solar
panel used in home and organization irradiation and resultant I-V and P-V characteristics
proved the validation of Simulink model of PV array. Solar energy is a vital untapped
resource in a tropical country like ours. The main hindrance for the penetration and reach
of solar PV systems is their low efficiency and high capital cost. In this research, we
examine a schematic to extract maximum obtainable solar power from a PV module and
use the energy for a DC application. This project investigates in detail the concept of
Maximum Power Point Tracking (MPPT) which significantly increases the efficiency of the
solar photovoltaic system. We collected a set of data from the Simulink model of PV array
after simulated under a range of irradiation and temperature. The data collected from the
system is used to train the neural network. When we tested the neural network with
different irradiance and temperature, we see that the neural network can accurately
predict the maximum power point of a photovoltaic array. In this invention, the back
propagation algorithm is used to train the neural network. Comparisons of MPPT with P &
o algorithm and without MPPT tracker are also shown in this invention. It is has to been
through this invention that the neural network based MPPT tracking require less time and
provide more accurate results than the P&O algorithm based MPPT used.
Description
2021104360
Our Invention is MATLAB SIMULINK BASED SOLAR TRACKING ON PHOTOVOLTAIC MODULE
Non conventional energy is the energy which derives from normal ordinary resources such as solar radiation, tides, wind, geothermal heat and raining water. These sources are Non conventional and can be naturally furnished. Therefore, for all pragmatic goals, these sources can be taken into account to be limitless, unlike non-renewable hydrocarbon deposits. The spherical energy crises have contributed a regenerated stimulus to the expansion of Non conventional (renewable) Energy resources. Clean Development Mechanisms, are being accepted by all assembly across the world.
Aside from the fast reducing reserves of hydrocarbon deposits in the globe, another important cause working against hydrocarbon deposits is the contamination connected with their burning. Generally, Non conventional energy resources are introduced to be cleaner and generate power without the dangerous effects of contamination unlike their renewable complement. PV panel transforms 30-45% of energy fallen on it into electrical energy. A MPPT method is essential to raise the ability of the PV panel.
There are distinct methods for MPPT as 1. Perturb and observe (hill climbing method), 2. Incremental conductance, 3. Fractional Short Circuit Current, 4. Fractional Open Circuit Voltage, 5. Fuzzy Control, 6. Neural Network Control etc. Among all techniques Perturb and observe (P&O) & Incremental conductance(IC) are commonly used due to their easy implementation, minimum time to trace the MPP and many other economic inferences.
Under directly alteration of weather circumstances as MPP alternates regularly, P&O considers it as alteration in MPP because of perturbation moderately that of illumines and many times stops in measuring wrong MPP. Although this issue gets neglected in IC method as method considers 2 samples of v/g and current for measuring MPP. Although, instead of maximum ability the intricacy of the method is much more as compared to last one & therefore the price of implementation rises. Hence it is to be diminished with a tradeoff b/w intricacy and ability.
It is cleared that the ability of system depends on the converter too. Usually it is highest for buck topography as compared to that of buck-boost topography & lowest for boost topography.
When many PV caliber are linked in parallel, other analog method TEODI is very efficient which works on the convention of mathematical statement of output working points in respect to force & movement of input working points of alike working system too.
The objective of the invention is a MATLAB SIMULINK BASED SOLAR TRACKING ON PHOTOVOLTAIC MODULE by using MPPT, Neural MPPT and PID controller has been developed a based concepts of solar energy.
1. The objective of the invention is that this system improves the tracking of solar system on regular basis by using solar energy as well passenger get alerts. If these are not found for 5 consecutive frames, the system draws the conclusion that the driver is falling asleep. 2. The objective of the invention is P&O is easiest method. In this method only 1 sensor (voltage
sensor) is used to sense PV system voltage & hence expenditure of employment is less & so easy to
employ.
3. The time multiplexity of this method is very low but on coming very near to MPP, doesn't end at
MPP & holds on perturbing upon both directions. When it occurs the method has come very near to
MPP & a suitable blunder limit is set or it is used a wait objective which stops rising the time
multiplexity of method.
1.2.1 Wind (Air Flow) power
Wind turbines are used to tackle the energy accessible in incubator air flows. present day
range of turbine is around 605 kW to 6 MW of equivalent power. Because the energy output is
a part of cube of the airflow speed, it growing fast with an grow in accessible airflow velocity.
New development has conduct to aero foil(curved part of an aircraft wing that help it to rise
in the air )airflow turbines, which is most efficient because of a superior aerodynamic
construction.
1.2.2 Solar Radiation power
The spilling of solar radiation energy to be debt to its drawn to the United Kingdom
astrophysicist John Herschel by which a solar heat collector box is used incredibly to prepare
food in the period of a crowd to Africa. Solar radiation energy is employed in two superior
ways. Primarily, the collected heat is used as cosmic heat energy, along functions in area
heating. Other substitute is the transformation of occurring solar radiation into electrical
energy. Electrical energy is most efficient form of energy. Electrical energy is accomplished by
cosmic (solar) PV cells or by establishing solar plants.
1.2.3 Tiny hydro power
Hydro power establishes up to 12MW are taken into account as tiny hydro power and
computed as non conventional energy resources. These contain transforming the kinetic
energy of gathered water in reservoir into utilizable electrical energy by hydraulic turbines.
1.2.4 Biomass Energy
Plants collect the heat of the sun by the manner of photosynthesis. On burning, these plants
commute the captured energy. This approach, biomass energy efforts as a ordinary battery to
accumulate the solar energy and revenue it on demand.
1.2.5 Geothermal Energy
The heat energy which produced and accumulated within the laminations of Earth. The
acclivity thus grown gives increase to a regular conduction of thermal energy from the bottom
to the superficial of earth. This acclivity is employed for heating water for producing
superheated steam & utilizes it to operate steam turbines for generating electrical energy. The major drawback of geothermal power is that Geothermal energy usually bounded to areas near structural plate boundaries, although new developments have conduct to the reproduction of this mechanism.
1.3 Non Conventional Energy progressions across the world
The current progression across advanced economies touches calibration in the favors of Non
Convectional Energy. For last four years, the areas of North America, Italy and Europe have
clinched more non conventional power Burdon in comparison of non renewable power
burden. Non-conventional reputed for 62% of newly established power burden in Europe and
North America in 2010 and nearly 22% of the yearly power generation.
Wind and biomass share a major part of the present non conventional energy consumption.
New developments in solar PV mechanism and constant growth of assignment in countries as
Germany, UK and Spain have imported around huge development in solar (cosmic) Photo
Voltaic merchandised as well that is used to exceed another non conventional energy
resources in the upcoming years.
By 2010, along with 86 countries used little policy ambition to gain a predetermined portion
of their energy burden through non conventionality was a rise from around 46 countries in
2006. Most of goals are very ambitious too, plat forming in range of 32-92% portion of
national generation through non conventional. Important policies are the goal of achieving
22% of complete energy by non conventional by 2020 & Jawaharlal Nehru Cosmic Mission of
India, by which India schemes to produce 21GW cosmic (solar) energy by year 2023.
1.4 Solar Energy
Cosmic (solar) energy is acquired from sun in solar radiation form. Solar based electrical generation banks on PV (photovoltaic). An incomplete list of other solar applications contributes solar cooking, space & water heating.
1.4.1 PV Background Solar panels are fabricated of PV cells; which means direct transformation of sun radiation to electrical energy by semiconductor, normally fabricated of silicon. The word PV derives from Roman meaning "light" ->photo & "electrical" -voltaic. Bell Laboratories generated the 1st solar cell (in 1954). The efficiency was about 6 percent of cell. The 1st cells were accomplished for space relevance, so price was not big issue. Efficiency of solar PV cells is increased regularly in the coming years,& prices have reduced considerably in new decades. The principle material employed in making of solar PV panel is still Si, but another substance have been grown, either for capacity of these for reducing cost or capacity of these for tremendous efficiency. The world-wide requirement for solar electrical energy systems has raised firmly in last 21 years. The requirement for low price electrical energy in unique regions is principle force sweeping world-wide PV manufacturer today. PV mechanism is commonly least-cost alternative for a huge number of relevance, like stand-alone energy systems for tiny houses and remote houses, frontier telecommunication areas for advantages & the military, pumping of water for agriculturalist, & urgency call booths for highways & institutions.
Solar PV cells are transforming sun energy to other energy called electricity. When sun energy is decreased or stopped, when sun sets in evening or when cloud goes through the top most of sun, thus the transformation process ends or delays down. When sun radiation returns, the transformation process right away resumes, this transformation excluding any dynamic parts, hum, pollution or fixed maintenance. These benefits are because of special features of semiconductor substances that create this transformation possible. Solar PV cells do not collect electrical energy; they just transform sunlight to electrical energy when sun radiation is available. To use electric energy at night, solar PV system requires few form of power storage, normally batteries.
1.4.2 Principle of PV Cells A photovoltaic system uses semiconductor cells, usually many square cm in size.
Semiconductors have 4 electrons in outer orbit, on average. These electrons are known as valence electrons. When sunlight falls on photovoltaic cells, piece of light energy is consumed into semiconductor. When this appears the energy escapes the a which permits them to move independently. The flow of electrons is known as current and when we put conductor on the upper layer and lower layer of the PV cells, that current can be used externally. Many cells are accumulated in a calibre to produced required power. When numerous a like cells are linked in series solar PV calibre is achieved, current grading of calibres depends upon the land of distinctive cells. For achieving maximum power output, PV calibres are linked in series & parallel arrangements representing PV arrays.
1.4.3 Types of PV Panels There are many types of PV panels, distinct in material, cost, and efficiency. Since ability is the % of solar power which is acquired and transformed into electrical energy. The ability principles which contribute are a common % of ability, because it's hard to provide an accurate reading for distinct types of PV panels output. * Mono-crystalline PV Panels: have ability approximately 19%. They are fabricated from a big crystal of Si, see Figure 1.3. These types of PV panels have maximum ability as in consuming solar energy and transforming it into electrical energy; although they are very costly. They do adequately excellent in minimum light circumstances than the types of PV panels. * Poly crystalline PV Panels; have ability approximately 16%. Alternatively of one big crystal; this kind of PV panel contains of collective amounts of tinier Si crystals. They are best accepted type of PV panels on merchandise today. They seem to like cracked glass. They have efficiency hardly less and less costly than mono-crystalline PV panels a Amorphous PV Panels: have ability approximately 12%. Containing of a fine-like lamination fabricated from molten Si which is expanded exactly across big portion of untainted steel or complementary material, see Figure 1.5. One benefit of amorphous PV panels over another 2 is that amorphous PV panels are shadow shielded. Which means whenever a piece of PV panel is in dark, the PV panel starts to charge. These PV panels have minimum ability than another 2 kinds of PV panel & inexpensive to produce. These operate best on boats & other kinds of conveyance.
Claims (4)
1. The objective of the invention is a Matlab Simulink Based Solar Tracking Photovoltaic
Module by using MPPT, Neural MPPT and PID controller has been developed a based
concepts of solar energy.
2. The objective of the invention is that this system improves the tracking of solar system on regular basis by using solar energy as well passenger get alerts. If these are not found for 5 consecutive frames, the system draws the conclusion that the driver is falling asleep.
3. The objective of the invention is P&O is easiest method. In this method only 1 sensor (voltage
sensor) is used to sense PV system voltage & hence expenditure of employment is less & so
easy to employ.
4. The time multiplexity of this method is very low but on coming very near to MPP, doesn't
end at MPP & holds on perturbing upon both directions. When it occurs the method has come
very near to MPP & a suitable blunder limit is set or it is used a wait objective which stops
rising the time multiplexity of method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021104360A AU2021104360A4 (en) | 2021-07-20 | 2021-07-20 | Matlab simulink based solar tracking on photovoltaic module |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021104360A AU2021104360A4 (en) | 2021-07-20 | 2021-07-20 | Matlab simulink based solar tracking on photovoltaic module |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2021104360A4 true AU2021104360A4 (en) | 2022-04-07 |
Family
ID=80932735
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2021104360A Ceased AU2021104360A4 (en) | 2021-07-20 | 2021-07-20 | Matlab simulink based solar tracking on photovoltaic module |
Country Status (1)
| Country | Link |
|---|---|
| AU (1) | AU2021104360A4 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116307287A (en) * | 2023-05-19 | 2023-06-23 | 国网信息通信产业集团有限公司 | Prediction method, system and prediction terminal for effective period of photovoltaic power generation |
-
2021
- 2021-07-20 AU AU2021104360A patent/AU2021104360A4/en not_active Ceased
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116307287A (en) * | 2023-05-19 | 2023-06-23 | 国网信息通信产业集团有限公司 | Prediction method, system and prediction terminal for effective period of photovoltaic power generation |
| CN116307287B (en) * | 2023-05-19 | 2023-08-01 | 国网信息通信产业集团有限公司 | Prediction method, system and prediction terminal for effective period of photovoltaic power generation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Shaw et al. | IOT based MPPT for performance improvement of solar PV arrays operating under partial shade dispersion | |
| Mohammad et al. | Design and implementation of hybrid automatic solar-tracking system | |
| Makkiabadi et al. | Energy feasibility of hybrid PV/wind systems with electricity generation assessment under Iran environment | |
| Liu et al. | A novel combined particle swarm optimization and genetic algorithm MPPT control method for multiple photovoltaic arrays at partial shading | |
| Chaichan et al. | Optimization of hybrid solar PV/diesel system for powering telecommunication tower | |
| Javed et al. | A comparative study of maximum power point tracking techniques for solar systems | |
| Agarkar et al. | A Review on Hybrid solar/wind/hydro power generation system | |
| Kharrich et al. | Assessment of renewable energy sources in Morocco using economical feasibility technique | |
| Omar et al. | A Comparative investigation of maximum power point tracking techniques for grid connected PV system under various weather conditions | |
| Mirza et al. | Advanced variable step size incremental conductance mppt for a standalone PV system utilizing a ga-tuned pid controller | |
| Genc | Effects of temperature and solar irradiation on performance of monocrystalline, polycrystalline and thin-film PV panels | |
| Al-Majidi et al. | Maximum Power Point Tracking Technique based on a Neural-Fuzzy Approach for Stand-alone Photovoltaic System | |
| AU2021104360A4 (en) | Matlab simulink based solar tracking on photovoltaic module | |
| Mochizuki et al. | Relationship between power generated and series/parallel solar panel configurations for 3D Fibonacci PV modules | |
| GHAITAOUI et al. | Study and Simulation of Self-supply of a Building by Photovoltaic Energy | |
| Al Busaidi et al. | A review of optimum sizing techniques for off-grid hybrid PV-wind renewable energy systems | |
| Ali et al. | Design optimization of solar power system with respect to temperature and sun tracking | |
| Bharathi et al. | Solar energy harnessing in India: an overview | |
| Sakib et al. | Modeling and simulation of solar photovoltaic cell for the generation of electricity in UAE | |
| Khalvati et al. | Estimating potential solar energy with three different architecture designs using crystalline silicon modules | |
| Stanka et al. | Impact of high temperature and other factors on PV module efficiency on small farms in Latvia | |
| Liu et al. | Particle swarm optimization MPPT method for PV materials in partial shading | |
| Perumal et al. | Performance optimization of a Rooftop Hybridized Solar PV-AC Grid assisted power system for peak load management | |
| Biçen et al. | Regional Energy Production with PV and CPV Panels in North-West Turkey | |
| Somsak et al. | Techno evaluation on a grid connected 9.8 kWp PV rooftop at various orientation in Thailand |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| FGI | Letters patent sealed or granted (innovation patent) | ||
| MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |