电网稳定性分析中的有功随机分配方法

Zhaohui Qie, Zhaowei Li, Wei Li, Jian Gao, Qu Shi
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引用次数: 0

摘要

随着人工智能技术在电网仿真分析领域的逐步发展,为了克服在线样本典型性弱、离线样本生成速度慢的问题,有必要研究自动样本生成技术。如果机组输出完全随机,按约束筛选方法生成数据,则在总有功功率和方程约束下筛选效率较低,且机组输出概率密度无法控制,容易出现过拟合或欠拟合。在工程上,实现有功方案的产生和有功分配分为两个步骤。给出了满足总有功功率和安全不等式约束的分配方案。通过随机分配有功功率和机组随机旋转的机制,保证了机组有功功率的平均分布。在多机组有功功率分配中,通过机组输出的空间分布证明了该方法的有效性和机组随机旋转的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method Of Active Power Random Allocation For Power Grid Stability Analysis
With the gradual development of artificial intelligence technology in the field of power grid simulation and analysis, in order to overcome the problems of weak typicality of online samples and slow production speed of offline samples, it is necessary to study the automatic sample generation technology. If the unit output is completely random and the data is generated according to the constraint screening method, the screening efficiency is low under the constraint of the total active power sum equation, and the unit output probability density can not be controlled, so it is easy to over fit or under fit. In engineering, two steps are given to realize the generation of active power scheme and the allocation of active power. The allocation scheme satisfying the constraints of total active power and security inequality is generated. Through the mechanism of random allocation of active power and random rotation of units, the distribution of active power of units is ensured to be average. In the active power distribution of multiple units, the effectiveness of the proposed method and the necessity of random rotation of units are proved by the spatial distribution of unit output.
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