Maximum Power Extraction Using Random Binary Searching Algorithm Under Non-uniform Insolation

2020 ◽  
pp. 91-107
Author(s):  
Kusum Lata Agarwal ◽  
Avdhesh Sharma
Keyword(s):  
Maximum Power ◽  
Power Extraction

Maximum Power Extraction from PV System Using Fuzzy Logic

2019 ◽  
Vol 7 (4) ◽  
pp. 835-840
Author(s):  
Dhruv M. Dhivar ◽  
M.B. Jhala ◽  
M. K. Kathiria
Keyword(s):  
Fuzzy Logic ◽  
Maximum Power ◽  
Pv System ◽  
Power Extraction

Design & Real-time Implementation of MIDO Converter Based PV Water Pumping System with BES

2020 ◽  
Vol 14 (2) ◽  
pp. 194-204
Author(s):  
Anuradha Tomar
Keyword(s):  
Real Time ◽  
Rural Areas ◽  
Maximum Power ◽  
Pump System ◽  
Partial Shading ◽  
Power Extraction ◽  
Pumping System ◽  
Point Tracking ◽  
Water Pumping ◽  
Battery Energy

Background: Despite so many developments, most of the farmers in the rural areas are still dependent on rainwater, rivers or water wells, for irrigation, drinking water etc. The main reason behind such dependency is non-connectivity with the National grid and thus unavailability of electricity. To extract the maximum power from solar photovoltaic (SPV) based system, implementation of Maximum Power Point Tracking (MPPT) is mandatory. PV power is intermittent in nature. Variation in the irradiation level due to partial shading or mismatching phenomena leads to the development of modular DC-DC converters. Methods: A stand-alone Multi-Input Dual-Output (MIDO) DC-DC converter based SPV system, is installed at a farm; surrounded with plants for water pumping with stable flow (not pulsating) along with battery energy storage (BES) for lighting. The proposed work has two main objectives; first to maximize the available PV power under shadowing and mismatching condition in case of series/ parallel connected PV modules and second is to improve the utilization of available PV energy with dual loads connected to it. Implementation of proposed MIDO converter along with BES addresses these objectives. First, MIDO controller ensures the MPPT operation of the SPV system to extract maximum power even under partial shading condition and second, controls the power supplied to the motor-pump system and BES. The proposed system is simulated in MATLAB/ SIMULINK environment. Real-time experimental readings under natural sun irradiance through hardware set-up are also taken under dynamic field conditions to validate the performance. Results and Conclusion: The inherent advantage of individual MPPT of each PV source in MIDO configuration, under varying shadow patterns due to surrounding plants and trees is added to common DC bus and therefore provides a better impact on PV power extraction as compared to conventional PV based water pumping system. Multi-outputs at different supply voltages is another flag of MIDO system. Both these aspects are implemented and working successfully at 92.75% efficiency.

A sensorless fuzzy-based maximum power point tracker for micro and small wind energy conversion systems

2012 ◽  
Vol 13 (5) ◽  
Author(s):  
Lucio Ippolito
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Maximum Power ◽  
Power Extraction ◽  
Wind Energy Conversion ◽  
Wind Energy Conversion Systems ◽  
Variable Speed Wind Turbine ◽  
Energy Conversion Systems ◽  
Power Point ◽  
Takagi Sugeno

Abstract This paper deals with a small wind energy conversion system (WECS), equipped with a variable-speed wind turbine and a fuzzy Takagi-Sugeno-Kang (TSK) wind estimator is proposed for the maximum power extraction. Using the estimated wind speed, which is usually obtained employing anemometers, a fuzzy-based control system is able to determine and regulate rotor speed for the maximum power extraction. The adoption of a sensorless strategy, especially for small size wind generation systems, leads to lower costs and improved reliability of the overall system.

Sign in / Sign up

Export Citation Format

Share Document