The Research on Intelligent Global MPPT of Small Wind Turbine for Energy Saving

2013 ◽  
Vol 648 ◽  
pp. 223-226
Author(s):  
Hao Sun ◽  
Cheng Zhi Yang ◽  
Ya Zhou Shan

The Maximum Power Point Tracking (MPPT) is an important method to improve power conversion efficiency for wind-power generation systems. In this paper, an intelligent global power MPPT method is presented. The comparison result of load power under various wind speed are presented through a real experiment, and it shows that maximum power point can be preferably tracked by the intelligent global power MPPT and makes a significant contribution for energy saving.

2013 ◽  
Vol 385-386 ◽  
pp. 1131-1134
Author(s):  
Fang Zhang ◽  
Chuan Dong Li ◽  
Yan Juan Wu

Under partially shaded conditions, the P-U characteristic of the photovoltaic (PV) array is characterized by multiple peaks. The presence of multiple peaks reduces the effectiveness of the existing maximum power point tracking (MPPT) schemes, which refers only to the tracking of a single peak on the P-U characteristic. This paper proposes a novel method for the global MPPT. The new method starts at the starting voltage which is 80% of the open-circuit voltage of the PV array, and finds the first local maximum power point (MPP) using the perturb and observe (P&O) approach. Then the second search finds the next local MPP based on the P&O approach starting from the new starting voltage, which is determined by increasing the rate of slope of the current line at the first local MPP. The new algorithm follows this searching procedure until the global MPP is found. The new algorithm avoids searching the turning-point voltage between the two local MPP, and the voltage range swept is shortened significantly with the result of fast searching speed. Simulations validates that under partially shaded conditions the proposed new algorithm can track the global MPP with the fast tracking speed and the high precision.


2018 ◽  
Vol 4 (4) ◽  
pp. 12
Author(s):  
Mrs. Ruchi Singh Chauhan Mr. Amol Barve

The solar power became a challenging area among other renewable energy sources (RESs) since the photovoltaic (PV) systems have the benefits of not inflicting pollution, having low maintenance, and durable operation life. Besides these benefits, a PV system has many drawbacks like significantly higher installation cost comparing some other RESs, and limited potency ranges between 9–18%. The feasibility analyses have a good role so as to work out the foremost appropriate plant site before installation. On the other hand, the operating analyses and enhancements supported maximum power point tracking (MPPT) are quite necessary to extend the harvested total energy. To maximize the performance of solar photovoltaics (PV) under dynamic climatic conditions, MPPT (Maximum Power Point Tracking) controllers are integrated into photovoltaic systems. This research presents a modified PSO algorithm based on the method of tracking the maximum global power point used for photovoltaic systems with variable co-efficient. The modified PSO (MPSO) algorithm is able to trace the maximum global power point faster. This improves the effectiveness of follow-up. Simulation results show that MPSO coordination control methods have better tracking accuracy as compared to P&O as well as PSO MPPT Technique. This also improves the energy efficiency of the photovoltaic system.


2017 ◽  
Vol 7 (1.3) ◽  
pp. 166 ◽  
Author(s):  
S Palanikumar ◽  
Selvakumar R ◽  
S Sivakannan

Z-source inverter (ZSI) based photovoltaic power conversion system (PV-PCS) provides both the DC link voltage boost and DC-AC inversion in single stage with added features. Traditional maximum power point tracking (MPPT) control algorithm generates the required shoot-through interval to output maximum power to the Z-network. At this instant, the voltage across Z-source capacitor is equal to the MPP voltage of PV array. The capacitor voltage cannot be further increased if it is demanded by the load. This paper presents an improved MPPT control algorithm along with modified MPPT algorithm to achieve both the MPPT as well as capacitor voltage control at the same time. Development and implementation of the proposed algorithm has been carried out by Matlab/Simulink software and the results are provided. 


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