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Network radiality in reconfiguration of a radial power distribution system using a matrix-structured knowledge-based system

机译:使用矩阵结构的基于知识的系统对径向配电系统进行重新配置时的网络径向性

摘要

A knowledge-based system is defined that ensures network radiatity during reconfiguration of a power distribution system. Network radiality heuristics idenufy a pair of switching operations that will preserve radiality. A line section table specifies the line section identifier, start bus, end bus, line section type, and switch existence for each line section in the network. A bus table identifies the line section that supplies the bus and those line sections that are fed by the bus for each bus in the network. A matrix-structured knowledge base with five distinct rule bases is used. The line section and bus tables must be updated after any switching operations are enacted. Extensive simulations of the knowledge-based system revealed that a solution was found in a time-efficient manner. This knowledge-based system enhances network reliability and hence prevents power outages. Also, the knowledge-based system can be used to preserve radiality during optimization of power distribution system operations for different objectives.
机译:定义了一个基于知识的系统,该系统可确保在配电系统重新配置期间的网络辐射。网络半径启发式算法无法识别将保留半径的一对交换操作。线段表为网络中的每个线段指定线段标识符,起始总线,结束总线,线段类型和交换机的存在。总线表标识了提供总线的线路部分以及网络中每个总线由总线馈送的那些线路部分。使用具有五个不同规则库的矩阵结构的知识库。进行任何切换操作后,必须更新线路部分和总线表。对基于知识的系统的广泛仿真显示,找到解决方案的时间效率很高。这种基于知识的系统提高了网络可靠性,因此可以防止断电。同样,基于知识的系统可用于在针对不同目标优化配电系统运行期间保留径向性。

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