A Two-Stage Robust Reactive Power Optimization Considering Uncertain Wind Power Integration in Active Distribution Networks

2016 ◽  
Vol 7 (1) ◽  
pp. 301-311 ◽  
Author(s):  
Tao Ding ◽  
Shiyu Liu ◽  
Wei Yuan ◽  
Zhaohong Bie ◽  
Bo Zeng
Keyword(s):  
Wind Power ◽  
Reactive Power ◽  
Power Optimization ◽  
Distribution Networks ◽  
Reactive Power Optimization ◽  
Two Stage ◽  
Wind Power Integration ◽  
Active Distribution Networks

Simulation on Multi-Objective Wind Power Integration Using Genetic Algorithm with Adaptive Weight

2014 ◽  
Vol 986-987 ◽  
pp. 529-532
Author(s):  
Jie Ren ◽  
Jian She Tian
Keyword(s):  
Genetic Algorithm ◽  
Wind Power ◽  
Reactive Power ◽  
Power Optimization ◽  
Continuous Variables ◽  
Discrete Variables ◽  
Reactive Power Optimization ◽  
Multi Objective ◽  
Wind Power Integration ◽  
Adaptive Weight

Aiming at problems which were brought by large-scale wind power integration, and the problem of multi-objective reactive power optimization considering the coexistence of discrete variables and continuous variables, a method of simulation based on genetic algorithm with adaptive weight is brought out. A solving thinking presents that capacitor switching and transformer tap adjusting and other discrete equipments are first, and the action sequence of generator and dynamic reactive power compensation (DRPC) devices and other continuous equipments setting follows, which is presented that optimization problem is decomposed into continuous variable optimization and discrete variable optimization, then they are solved respectively and cross iteration until convergence. In view of the optimization complexity and the coexistence of discrete variables and continuous variables, genetic algorithm with adaptive weight is presented for finding global optimal solution. Case studies show that the proposed thinking and algorithm for solving multi-objective reactive power optimization are reasonable.

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