基于自适应粒子群算法的海上风电场无功管理

V. S. Pappala, S.N. Singh, M. Wilch, I. Erlich
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引用次数: 37

摘要

根据新的电网规范,风电场必须像其他传统发电厂一样运行。海上风电场通过长电缆连接到主电网,在不断变化的风力发电条件下,无功功率管理是运营商的一个大问题。本文研究无功最优调度问题,这是一个混合整数非线性优化问题。ORPD中的整数变量是变压器的分接位置,电缆的开关和开关电抗器(如果存在)。采用一种新的自适应粒子群算法(APSO)来解决ORPD问题,该算法不需要调整粒子群的大小,而是基于不同大小的粒子群(称为“部落”)。所提出的APSO嵌入在牛顿-拉夫森负荷流程序中。该算法的有效性在德国一个实际的海上风电场中得到了验证,该风电场目前处于规划阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reactive Power Management in Offshore Wind Farms by Adaptive PSO
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 and is 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.
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