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Optimal localized area for security assessment in large-scale power systems operation

机译：大型电力系统操作中的安全评估最佳本地化区域

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This paper presents a proposed procedure for on-line active power security assessment in power. system operation. An optimal effective localized area (OELA) is introduced to obtain the optimal security constrained redispatch (OSCR) in order to remove any line overloads in large scale power systems. This area includes the affected lines due to any line outage and/or sudden increase in load demand. The size of OLEA depends on the setting value of a boundary factor λ to make the calculations on a reduced area that represent the total large system. However, this area can be increased or decreased according to the rate of the emergency conditions effectiveness and the amount of active control actions requirement. Hence, the proposed procedure focuses on an OELA that is sensitive to a certain emergency condition, far from the other weak parts of the system. The particle swarm optimization (PSO) technique is applied to find out the OSCR, to remove the violated lines during the emergency conditions, depends on the OELA. Case studies for different emergency conditions applied on the standard IEEE 118-bus system demonstrates the efficiency of the proposed procedure.
机译：本文提出了一个提出的电力在线有源电力安全评估程序。系统操作。引入最佳有效的局部区域（OELA）以获得最佳安全性约束重新分类（OSCR），以便在大型电力系统中删除任何线路过载。由于任何线路中断和/或负载需求突然增加，该区域包括受影响的线条。 OLEA的大小取决于边界因子的设定值＆＃x03bb;在计算总大系统的降低区域上进行计算。然而，根据紧急情况效果的速率和主动控制作用的量，该区域可以增加或减少。因此，所提出的程序重点关注对某些紧急情况敏感的oela，远离系统的其他弱部件。粒子群优化（PSO）技术应用于找出OSCR，以在紧急情况下删除违规线，取决于欧洲州。在标准IEEE 118-Bus系统上应用于不同应急条件的案例研究表明了所提出的程序的效率。

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