人工鱼群算法在同调发电机组聚合中的应用
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TM31

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国家自然科学基金(51407079)


Application of an artificial fish swarm algorithm in the aggregation of coherent generators
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    摘要:

    针对同调发电机聚合,提出一种基于人工鱼群算法的参数寻优方法,以同调发电机群集合函数与等值发电机相应函数在频域特性上保持一致为原则,通过模仿鱼群行为从而得到等值发电机的优化参数。所提方法能够有效解决传统聚合方法在初值设置、寻优方向约束、局部极值等方面的限制。在新英格兰39节点系统中进行的发电机聚合验证结果表明,所提算法给出的最优参数能较好地保证发电机聚合前后的频率响应、系统暂态特性基本一致,提高了发电机聚合精度。

    Abstract:

    Aiming at the aggregation of coherent generator groups, based on an artificial fish swarm algorithm, a method is proposed to optimize parameters of the equivalent generator through the simulation of fish group behavior under the principle that the aggregate functions of generator group should be consistent with the transfer functions of equivalent generators in frequency domain. The proposed method can effectively solve the limitations of traditional aggregation methods in initial value setting, optimization direction constraint, local extremum, etc. The validation results of generator aggregation in New England 39bus system show the optimal parameters derived by the new method can better ensure that the frequency response and system transient characteristics of the generator before and after aggregation are basically the same and improve the accuracy of generator aggregation.

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朱 林,王 贝,付 东,等.人工鱼群算法在同调发电机组聚合中的应用[J].电力科学与技术学报,2020,35(3):61-67.
ZHU Lin, WANG Bei, FU Dong, et al. Application of an artificial fish swarm algorithm in the aggregation of coherent generators[J]. Journal of Electric Power Science and Technology,2020,35(3):61-67.

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  • 在线发布日期: 2020-09-14
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