Power Quality Improvement Using Custom Power Devices in Squirrel Cage Induction Generator Wind Farm to Weak-Grid Connection by using neuro-fuzzy control

Author(s):  
Kopella Sai Teja ◽  
R.B.R. Prakash

<p>Wind farm is connected to the grid directly.The wind is not constant voltage fluctuations occur at point of common coupling (PCC) and WF terminal . To over come this problem a new compensation strategy is used . By using Custom power devices (UPQC).It injects reactive power at PCC . The advantages of UPQC is it consists of both DVR and D-STATCOM . DVR is connected in series to the line and it injects in phase voltage into the line .D-STATCOM is connected shunt to the line .The internal control strategy is based on management of active and reactive power in series and shunt converters of UPQC . The power exchainge is done by using DC-link</p>

2014 ◽  
Vol 1070-1072 ◽  
pp. 224-227
Author(s):  
Li Lin ◽  
Kai Li

Current control strategy of reactive power and voltage for wind power integration is separate control of single wind farm (WF), which cannot achieve the optimal allocation of reactive power and is not beneficial for the optimization of voltage stability and network loss. In this paper, a coordinated control strategy of reactive power and voltage for wind farm cluster is proposed, which takes the voltage stability at point of common coupling (PCC) and economic operation as the optimization goals. The coordinated control strategy is realized through the platform of Cybercontrol industrial configuration, and the application testing verifies the effectiveness of the proposed strategy.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Kamal Elyaalaoui ◽  
Moussa Labbadi ◽  
Mohammed Ouassaid ◽  
Mohamed Cherkaoui

Voltage stability margin is ensured through the reactive power resources. In order to generate the reactive power references and ensure the low-voltage ride-through (LVRT) control of a wind farm system based on squirrel cage induction generator, this paper proposed an optimal control approach based on fractional-order (FO) PI-fuzzy-PI (FOPI-fuzzy-FOPI) controller. The proposed control method ensures, also, the demand for active and reactive power predetermined by the transmission system operator (TSO) and satisfies the grid code recommendations. In order to achieve a faster tracking of state variables of the system, the FO operators are optimized using the particle swarm optimization algorithm (PSOA). Using FO operator and PSOA, the responses of the system can be improved. The proposed controller provides additional parameters for better tracking performance and faster convergence can be achieved. Numerical simulation results are presented to analyze the advantages of the proposed control approach to design a physically, realizable controller. The present results are compared with various control methods to show the superiority of the method proposed in this paper.


2020 ◽  
Vol 8 (5) ◽  
pp. 4656-4660

The current energy demand scenario leads to tremendous increase in the renewable energy sector, but the integration of these renewable causes various stability issues of the system. Increasing share Wind energy has several shortages due to its energy harnessed from the wind. These shortages can be improved by compensating reactive power into the wind plant. The wind farm consist of fixed speed squirrel cage Induction generator absorbs reactive power from the grid for stable operation and it can be injected using reactive power compensator. In this context, the main aim of the research is to find the minimum reactive power compensation required for stable operation for different rating of Type-1 WTG in grid connected mode. In this paper, a detailed model of constant speed Squirrel Cage Induction Generator is carried out in MATLAB/SIMULINK-2017a to analyze the need of reactive power compensation to maintain voltage and frequency stability of the system during normal condition. The work also focuses on to investigate the impact of induction generator inertia level on compensation level. The modified IEEE 5-bus radial distribution system is used to conduct these investigations and the simulation results clearly show that: (1) The necessity and minimum additional reactive power support to the wind farm to improve and maintain stability of the system; (2) the inertia level of wind farm and reactive power compensator level both are independent each other.


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