首页> 外文会议>2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies >Power systems transient stability preventive control incorporating network series compensation with the aid of If-Then rules extracted from a multilayer perceptron artificial neural network
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Power systems transient stability preventive control incorporating network series compensation with the aid of If-Then rules extracted from a multilayer perceptron artificial neural network

机译:借助从多层感知器人工神经网络中提取的If-Then规则结合电网串联补偿的电力系统暂态稳定性预防控制

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Power system preventive control is dominated by generation rescheduling. Other preventive control actions are rarely mentioned in the literature. This paper presents a transient stability preventive control design that takes series compensation into account. The design methodology is aided with the ‘If-Then’ rules extracted from a trained multilayer perceptron (MLP) artificial neural network (ANN). Characteristic of this paper is twofold. We may have one more degree of freedom by incorporation of series compensation when designing preventive control, and we may have additional flexibility in deploying preventive control actions by means of the proposed methodology. Two preventive control schemes are presented and applied to 39-bus power system. Extensive computational studies have demonstrated the effectiveness of the proposal.
机译:电力系统的预防控制主要由发电调度决定。其他预防控制措施在文献中很少提及。本文提出了一种考虑了串联补偿的暂态稳定性预防控制设计。从经过训练的多层感知器(MLP)人工神经网络(ANN)中提取的“ If-Then”规则辅助设计方法。本文的特点是双重的。在设计预防性控制措施时,通过引入串联补偿,我们可能会有一个更大的自由度,并且通过所提出的方法,我们在部署预防性控制措施方面可能会具有更大的灵活性。提出了两种预防控制方案并将其应用于39总线电力系统。大量的计算研究证明了该建议的有效性。

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