Abstract
Wind, hydro, solar, and fuel cell technologies have emerged as alternative sources of energy due to environmental concerns and a rising demand for energy. Aside from this, photovoltaic (PV) solar PV systems have grown more essential all over the world as a result of their availability, cleanliness, low maintenance costs, and almost limitless capacity. The solar irradiance and temperature are varying during the day time so the amount of electricity generated by a photovoltaic system is considered stochastic in nature. The maximum power point tracking (MPPT) algorithm is used to ensure that the maximum amount of power available from the solar PV system is harnessed by using DC-DC Converters a Conventional PV Configurations Series(S), Series-Parallel(S-P), Bridge-Link(B-L), Honey-Comb(H-C), and Total-Cross-Tied (TCT) PV Configuration are investigated to get the maximum voltage, current and Power. When it comes to tracking maximum power from a PV panel, some of the photovoltaic modules in an array are partially obscured by shadow when passing clouds, bird feces, dust or towering objects cast their shadows on the array. These Partial Shading Conditions, often known as PSCs, have a tendency to lower the output power of the array while simultaneously producing several local peaks on the P-V characteristics. Because of this, the array's efficiency is decreased, and the amount of power that is lost due to mismatching increases. The primary objective of this investigation paper is to modelling and simulation of 6× 6 solar PV array topologies are analyzed under a variety of seven different shading conditions. The factors affecting PV configurations are Local Maximum Power Points (LMPP), No of Peak points, Global Maximum Power Point (GMPP), which effects the fill factor, Mismatching power losses and efficiency of all these PV array configurations are Compared by Using Simulation of 6× 6 PV array of KC 200 GT Module.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE 3rd International Conference on Smart Technologies for Power, Energy and Control, STPEC 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350304732 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 3rd IEEE International Conference on Smart Technologies for Power, Energy and Control, STPEC 2023 - Bhubaneswar, India Duration: 10-12-2023 → 13-12-2023 |
Publication series
| Name | 2023 IEEE 3rd International Conference on Smart Technologies for Power, Energy and Control, STPEC 2023 |
|---|
Conference
| Conference | 3rd IEEE International Conference on Smart Technologies for Power, Energy and Control, STPEC 2023 |
|---|---|
| Country/Territory | India |
| City | Bhubaneswar |
| Period | 10-12-23 → 13-12-23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
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