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An Online Optimization Algorithm for Alleviating Contingencies in Meshed Networks

机译:一种缓解网格中突发事件的在线优化算法   网络

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摘要

Power systems are increasingly operated in corrective rather than preventivesecurity mode, which means that appropriate control actions must be takenimmediately after a contingency has occurred. This paper proposes an on-linealgorithm for automatically alleviating contingencies such as voltage limitviolations and line overloads. Unlike previously proposed approaches, thenetwork itself serves as a natural solver of the power flow equations. Thismakes it possible to start the implementation immediately and avoids problemscaused by modeling errors. Every time the controller receives measurements fromthe grid, it evaluates the presence of contingencies, and computes the optimalcorrective actions that can be implemented before the next sampling period,subject to ramping constraints of the generators. These corrective actions areimplemented through the standard Automatic Generation Control. Finding theoptimal incremental corrective actions is fast because this problem islinearized. The effectiveness of this algorithm at correcting both lineoverloads and voltage violations is demonstrated using the IEEE-118 Bus testsystem.
机译:电力系统越来越多地以纠正性安全性而非预防性安全性模式运行,这意味着在突发事件发生后必须立即采取适当的控制措施。本文提出了一种在线算法,用于自动缓解诸如电压限值违规和线路过载之类的突发事件。与以前提出的方法不同,网络本身可以作为潮流方程的自然求解器。这使得可以立即开始实施,并避免了由于建模错误而引起的问题。每次控制器从电网接收到测量值时,它都会评估意外情况的存在,并计算下一个采样周期之前可以执行的最佳纠正措施,这取决于发电机的斜坡限制。这些纠正措施是通过标准的自动生成控制来实现的。因为该问题是线性的,所以找到最佳的增量纠正措施很快。使用IEEE-118总线测试系统证明了该算法在纠正线路过载和电压违规方面的有效性。

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