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基于AM-LSTM网络轨迹预测的超实时紧急控制策略研究

Research on Ultra-real-time Emergency Control Strategy Based on AM-LSTM Network Trajectory Prediction

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为满足现代电网紧急控制的时效性,解决全局方法的控制量分配问题,提出了基于单机能量函数的超实时紧急控制策略体系.首先,提出了基于单机能量函数的紧急切机控制策略,关注受扰严重的临界机组,提出切机量的计算方法;然后,利用结合注意力机制的长短期记忆神经网络方法预测临界机组的受扰轨迹;最后,依据预测曲线结合单机等面积法对系统进行判稳,并计算切机量,实施紧急控制.IEEE39系统验证了切机策略和轨迹预测方法的有效性.
In order to meet the timeliness of emergency control in modern power grid and solve the control capacity allocation problem of the global method,an ultra-real-time emergency control strategy system based on individual machine energy function was proposed in this paper.Firstly,this paper proposed an emergency shutdown control strategy based on the individual machine energy function,which focuses on the severely disturbed critical machines,and proposed the calculation method of the control amount;Then,based on Attention Mechanism-long short term memory neural networks network,the disturbed trajectory of critical machines was predicted;Finally,this system judged the stability of the system according to the prediction curve combined with the individual machine equal area method,calculated the cutting capacity,and implemented the emergency control.This paper used the IEEE39 system to verify the effectiveness of cutting strategy and trajectory prediction method.

individual machine energy functiontrajectory predictionemergency controlattention mechanismlong short-term memory

宋冠林

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东北电力大学,吉林 吉林 132012

单机能量函数 轨迹预测 紧急控制 注意力机制 长短期记忆网络

2024

吉林电力
吉林省电机工程学会,吉林省电力有限公司电力科学研究院

吉林电力

影响因子:0.338
ISSN:1009-5306
年,卷(期):2024.52(2)
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