Reactive power management in offshore wind farms by adaptive PSO

被引:0
|
作者
Pappala, V. S. [1 ]
Wilch, M. [1 ]
Singh, S. N. [1 ]
Erlich, I. [1 ]
机构
[1] Univ Duisburg Essen, Inst Elect Power Syst EAN, D-47057 Duisburg, Germany
来源
2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS APPLICATIONS TO POWER SYSTEMS, VOLS 1 AND 2 | 2007年
关键词
wind energy; reactive power scheduling; particle; swarm optimization; wind power interconnection;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
According to the new grid codes, wind parks must operate similar to other conventional power plants. Offshore wind parks are connected to the main grid with long cables and reactive power management is a big concern to the operators in the changing wind power conditions. This paper addresses the optimal reactive power dispatch (ORPD), which is a mixed-integer nonlinear optimization problem. The integer variables in ORPD are tap positions of the transformers, switching of cables and switched reactors, if present. A new adaptive particle swarm optimization (APSO), which is free from tuning of population size based on different sized groups of particles called "Tribes", is used to solve the ORPD problem. The proposed APSO is embedded in the Newton-Raphson load flow program. The effectiveness of the proposed algorithm is demonstrated on a real offshore wind farm, which is currently in planning stage, in Germany.
引用
收藏
页码:55 / 62
页数:8
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