A voltage control strategy of Wind Farms Cluster for Steady State Voltage Stability improvement

2016 ◽  
pp. 263-268
Author(s):  
S Yang ◽  
W Wang ◽  
C Liu ◽  
Y Huang ◽  
J Wang ◽  
...  
Keyword(s):  
Steady State ◽  
Control Strategy ◽  
Voltage Stability ◽  
Voltage Control ◽  
Wind Farms ◽  
Voltage Control Strategy

scholarly journals A Voltage Control Strategy of VSG Based on Self-Adaptive Inertia Coefficient and Droop Coefficient

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shizhi Lin ◽  
Lei Lin ◽  
Buying Wen
Keyword(s):  
Steady State ◽  
Power Systems ◽  
Control Strategy ◽  
Voltage Stability ◽  
Voltage Control ◽  
System Response ◽  
Voltage Control Strategy ◽  
Inertia Coefficient ◽  
Voltage Deviation ◽  
Self Adaptive

With the increasing penetration rate of distributed renewable energy in power systems, the control strategy of virtual synchronous generator (VSG) is widely used for several years. Some existing VSG control strategies have been able to solve the stability problems caused by the abnormal grid voltage, but the effects of the inertia coefficient and the droop coefficient on the voltage stability are not taken into account. In order to further improve the voltage stability of the microgrid system, a voltage control strategy of VSG based on self-adaptive inertia coefficient and droop coefficient is proposed in this paper. When the voltage is far from the steady state, the increase of the inertia coefficient can decrease the voltage deviation. On the contrary, when it is close to the steady state, the decrease of the inertia coefficient can make the system response speed accelerate. According to the real-time voltage deviation, the droop coefficient can change adaptively to decrease the adjusting time and the voltage deviation during the disturbance. Finally, the simulation model of VSG is built by MATLAB/Simulink for conducting simulation experiments. Compared with other strategies, the correctness and effectiveness of the proposed control strategy are validated.

Fuzzy-Logic-Based Reactive Power and Voltage Control in Grid-Connected Wind Farms to Improve Steady State Voltage Stability

2018 ◽  
pp. 1-54
Author(s):  
Tukaram Moger ◽  
Thukaram Dhadbanjan
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Voltage Stability ◽  
Reactive Power ◽  
Optimization Technique ◽  
Voltage Control ◽  
Wind Farms ◽  
Wind System ◽  
Fuzzy Logic Approach ◽  
Voltage Deviation

This chapter presents a fuzzy logic approach for reactive power and voltage control in grid-connected wind farms with different types of wind generator units to improve steady state voltage stability of power systems. The load buses' voltage deviation is minimized by changing the reactive power controllers according to their sensitivity using fuzzy set theory. The proposed approach uses only a few high sensitivity controllers to achieve the desired objectives. A 297-bus-equivalent grid-connected wind system and a 417-bus-equivalent grid-connected wind system are considered to present the simulation results. To prove the effectiveness of the proposed approach, a comparative analysis is also carried out with the conventional linear-programming-based reactive power optimization technique. Results demonstrated that the proposed approach is more effective in improving the system performance as compared with the conventional existing techniques.

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