scholarly journals Wind Farm Connected to a Distribution Network

10.5772/65670 ◽  
2016 ◽  
Author(s):  
Mohamed Benchagra
Keyword(s):  
Wind Farm ◽  
Distribution Network

An Intelligent Approach for Reactive Power Planning in Distribution Network with Wind Power

2013 ◽  
Vol 344 ◽  
pp. 279-284
Author(s):  
Ling Yun Wang ◽  
Jie Pan ◽  
Ling Lu
Keyword(s):  
Wind Power ◽  
Wind Farm ◽  
Reactive Power ◽  
Distribution Network ◽  
Power Losses ◽  
Power Requirement ◽  
Real Power ◽  
Control Objective ◽  
Reactive Power Planning ◽  
Intelligent Approach

An intelligent approach for reactive power planning in distribution network with wind power is presented. A genetic optimization algorithm is applied in order to optimize the reactive power dispatch. The reactive power requirement for wind farm is considered as a restriction so that the active power control objective can be achieved while the real power losses are minimized. Finally, the proposed method is tested in the standard IEEE 30 node system with five wind turbines as a simulated wind farm, while considering the capability limits of wind turbine. The numerical results show that the proposed intelligent genetic algorithm can reduce real power losses effectively and improve the node voltage stability.

Reactive Power Optimization in Distribution Network with Wind Farm

2012 ◽  
Vol 614-615 ◽  
pp. 1372-1376 ◽  
Author(s):  
Chuang Li ◽  
Min You Chen ◽  
Yong Wei Zhen ◽  
Ang Fu ◽  
Jun Jie Li
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Model ◽  
Wind Farm ◽  
Reactive Power ◽  
Power Optimization ◽  
Quantum Particle ◽  
Distribution Network ◽  
Reactive Power Optimization ◽  
Swarm Optimization ◽  
Quantum Particle Swarm Optimization

The traditional methods to adjust voltage in distribution network reactive power optimization is discretization，and it is difficult to realize the continuous voltage adjustment. A reactive power optimization model and algorithm in distribution network with wind farm is proposed. The network loss，deviation of voltage and stability of voltage are taken into account in the multi-objective reactive power optimization model. The quantum particle swarm optimization（QPSO）algorithm has been used to solve the reactive power optimization problem. The algorithm described particle state by wave function, not only increase the diversity of population，but also avoid premature convergence. The comparison of the simulation result between QPSO and PSO on the modified IEEE 33-bus system demonstrated the effectiveness and advantage of quantum particle swarm optimization.

scholarly journals Modelling and control of a VSC medium-voltage DC distribution network with DFIG wind farm

2017 ◽  
Vol 2017 (13) ◽  
pp. 2502-2507 ◽  
Author(s):  
Simiyu Patrobers ◽  
Xin Ai ◽  
Bitew Girmaw Teshager ◽  
Wang Kunyu
Keyword(s):  
Wind Farm ◽  
Distribution Network ◽  
Medium Voltage ◽  
Dc Distribution ◽  
And Control ◽  
Medium Voltage Dc
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