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FPGA based implementation of MPPT algorithms for photovoltaic system under partial shading conditions
- Source :
- Microprocessors and Microsystems. 77:103011
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- In Photovoltaic (PV) systems, Maximum power point (MPPT) tracking has emerged as a crucial element of that guarantees PV arrays maximum power output in all environmental conditions. Almost regularly there is a shadowing effect that occurs on the PV arrays. This is done either in a manner that is partial or almost complete coverage through trees, poles, towers, building nearby or even passing clouds. Almost often there is a shadowing impact that happens on the PV arrays. This is often done either in a manner that is partial or almost complete coverage through trees, poles, towers, building nearby or even passing clouds. Under these conditions, multiple peaks occurs that increase the complexity of the PV characteristics which in turn results in difficulty in tracking Global Peak (GP). Therefore the proposed Periodic Power Hunt (PPH) MMPT technique permits in overcoming those problems which include lower observation efficiency under Partial Shading Conditions (PSCs) like in perturbing and observe (P&O) MPPT. The proposed PPH scheme PV array under PSCs shows various completed peaks. The tracking performance is also compared with P&O-MPPT algorithms. The control technique doesn't have any effect of explicit operating environments and results in better performance than ancient strategies with solar power harvesting. The FPGA based experimental implementation of proposed PPH MPPT solution in such a technique that does not involve particular measurement of open circuit voltage or short circuit current.
- Subjects :
- Maximum power principle
Computer Networks and Communications
Open-circuit voltage
Computer science
business.industry
020208 electrical & electronic engineering
Photovoltaic system
02 engineering and technology
Maximum power point tracking
020202 computer hardware & architecture
Power (physics)
Artificial Intelligence
Hardware and Architecture
0202 electrical engineering, electronic engineering, information engineering
Point (geometry)
Field-programmable gate array
business
Short circuit
Algorithm
Software
Solar power
Subjects
Details
- ISSN :
- 01419331
- Volume :
- 77
- Database :
- OpenAIRE
- Journal :
- Microprocessors and Microsystems
- Accession number :
- edsair.doi...........b5d17952feb64a6f205477fab8d3ec4d
- Full Text :
- https://doi.org/10.1016/j.micpro.2020.103011