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Monitoring and control strategy of power system stability based on the restoration characteristics index

机译:基于恢复特性指标的电力系统稳定性监测与控制策略

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The authors discuss a knowledge base for power system stability in an AI/expert system environment. With the knowledge on parametric resonance, a power system is interpreted as a restoration characterized system, in which the 'jump phenomena' could occur due to the ill-combination of the system parameters. A stability index, called the restoration characteristics index (RCI), is derived by considering the specific combination of parameters to make the resonance curve triple-valued. And considerations on the monitoring and control strategy for AI/expert system approach are discussed.
机译:作者讨论了AI /专家系统环境中的电力系统稳定性知识库。利用参数谐振的知识,将电力系统解释为恢复特征系统,其中可能由于系统参数的不良组合而发生“跳跃现象”。通过考虑参数的特定组合来导出称为恢复特性索引(RCI)的稳定性指数来导出使谐振曲线三重值。讨论了关于AI /专家系统方法的监测和控制策略的思考。

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