Research on Power Industry with Application of Improved Hill-Climbing Algorithm in Wind Power Generation System

2014 ◽  
Vol 1014 ◽  
pp. 211-215
Author(s):  
Dong Dong Luo ◽  
Shou An Chen ◽  
Yuan Ping Lin

This article puts forward improved hill-climbing algorithm based on the problems that exist in wind power system compared with traditional hill-climbing searching MPPT control algorithm.In order to obtain optimum power curve,the improved algorithm finds the maximum power point when wind speed is steady firstly,then estimating torque loss accurately of motor to calculate system power loss indirectly when system is in the state of maximum power point.At last,the disturbance step is adjusted in real time based on distance between actual work point and optimum power curve.The improved hill-climbing algorithm does not exist the phenomenon that there is concussion near the maximum power point.What is more, the tracking direction could not be misled and tracking speed is sooner for tracking maximum power point when wind speed changes rapidly.By using Matlab for algorithm simulation,the result shows that improved hill-climbing algorithm could make up for the deficiency of traditional algorithm effectively.

2012 ◽  
Vol 621 ◽  
pp. 334-339
Author(s):  
Ping Yang ◽  
Ping Sheng Liang

The control algorithm of maximum power point tracking (MPPT) plays a key role in improving the wind energy conversion efficiency. This paper proposes an improved MPPT control algorithm based on hill climbing method, which combines proportional control with hill climbing method, with the advantage of precise steady-state control from hill climbing method, the combination with proportional control enhances the speed of dynamic response. By using this algorithm in the wind power simulation system based on Matlab, we get the simulation results for both fixed and variable wind speed. The result shows that this improved algorithm can track the maximum power point of wind power generation system quickly and precisely.


2012 ◽  
Vol 608-609 ◽  
pp. 662-667
Author(s):  
Hong Hai Kuang ◽  
Zheng Qiu Wu ◽  
Sheng Qing Li

In order to make wind power generation system be free from outside interference, and make doubly-fed induction generator (DFIG) easily operate at maximum power point under variable wind speed, simultaneous perturbation stochastic approximation (SPSA) algorithm for tracking maximum power of wind power generation system is proposed in this paper. SPSA algorithm indirectly controls DFIG speed through adjusting duty cycle of power converter, makes system operate at maximum power point under any wind speed, thus the maximum power output is transmitted to the load. SPSA algorithm not only does not need to set up PID three parameter values, but also does not anemometer and tachometer in practical applications. Simulation results show no matter how wind speed changes, SPSA algorithm can effectively improve power output of wind power generation system, and make tip speed ratio and power coefficient be near optimum value, reduce system cost.


Author(s):  
Pyatla Charan Teja

In this paper we are going to see how the MPPT algorithm is used to obtain maximum power using a booster converter from a PV array. The booster converter steps up the voltage to required level. The main aim is to track the maximum power point of a solar module and there by using it effectively and efficiently


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