Optimal reactive power dispatch using a hybrid formulation: genetic algorithms and interior point
Optimal reactive power dispatch using a hybrid formulation: genetic algorithms and interior point
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DOI：
10.1109/ptc.2001.964907
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发表时间：
2001-09
期刊：
影响因子：
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通讯作者：
J. Soto;C.R.R. Domellas;D. Falcão
中科院分区：
文献类型：
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作者：
J. Soto;C.R.R. Domellas;D. Falcão
提出了一种基于遗传算法和非线性内点法相结合的无功优化调度方法。遗传算法是一种结合适应性选择和适者生存原理的模拟自然进化和遗传学的计算模型。遗传算法的主要特点是处理二进制、整数和离散变量。IP方法具有处理非收敛潮流的特点。在该复合公式中，IF表示真实的变量，例如发电机电压和OLTC抽头，而GA表示二进制变量，即电容器和电抗器组。所提出的配方被施加到相当于巴西东南部系统的一个区域和IEEE 118总线测试系统和结果进行了介绍和讨论。
This paper proposes a hybrid formulation to solve the problem of optimal reactive power dispatch using genetic algorithms (GAs) combined with the nonlinear method of interior point (IP). GAs are computational models that mimics natural evolution and genetics by the combinations of the concepts of adaptive selection and the survival of the fittest principle. The main peculiarity of GAs is dealing with binary, integer and discrete variables. The IP method has the attractive feature of dealing with nonconvergent power flow. In this composite formulation, IF represents the real variables, such as generator voltage and OLTC tap, while the GA represents the binary variable, i.e. bank of capacitors and reactors. The proposed formulation is applied to an equivalent of an area of the Southeastern Brazilian system and to the IEEE 118 bus test system and the results are presented and discussed.