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Development of search algorithm for contingency case identification using matlab

机译:基于Matlab的突发事件识别搜索算法的开发。

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Every power system grid in any nation experiences outage in its transmission line, distribution lines, substations, generators and transformers, either a single element or combination of the elements at the same time which affects the delivery of power to the consumers. Statistical computation is used to determine the cases of the combination of outages that occurred at the same time. This paper presents the development of a search algorithm for contingency case identification which helps the operator to decide on what should be done to the system and return to its normal operation when outages occurred. The study focuses on IEEE bus 6 system that was modeled and simulated on MatPower, making the line / load flows as the predetermined values of the database. The MATLAB software codes are responsible on the search algorithm for contingency case identification. The modeling of the system is satisfactory because the values of % difference are within the specified ±5% tolerance. It is concluded that the case search algorithm is working properly on the IEEE 6-bus system.
机译:任何国家的每个电力系统电网的输电线路,配电线路,变电站,发电机和变压器都会出现故障,单个元素或多个元素同时出现,这会影响到用户的电力供应。统计计算用于确定同时发生的停机组合的情况。本文介绍了一种用于意外情况识别的搜索算法的开发,该算法可帮助操作员确定对系统应采取的措施,并在发生故障时恢复其正常运行。该研究集中于在MatPower上建模和仿真的IEEE总线6系统,使线路/负载流作为数据库的预定值。 MATLAB软件代码负责搜索算法以识别意外情况。系统建模令人满意,因为%差异值在指定的±5%公差范围内。结论是案例搜索算法在IEEE 6总线系统上运行正常。

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