In feeder automation transformation there are difficulties in equipment and location selection.To help with this,an optimal layout model of feeder automation equipment oriented to the type of fault detection and local...In feeder automation transformation there are difficulties in equipment and location selection.To help with this,an optimal layout model of feeder automation equipment oriented to the type of fault detection and local action is pro-posed.It analyzes the coordination relationship of the three most common types of automation equipment,i.e.,fault indicator,over-current trip switch and non-voltage trip switch in the fault handling process,and the explicit expres-sions of power outage time caused by a fault on different layouts of the above three types of equipment are given.Given constraints of power supply reliability and the goal of minimizing the sum of equipment-related capital invest-ment and power interruption cost,a mixed-integer quadratic programming model for optimal layout is established,in which the functional failure probability of equipment is linearized using the 3δprinciple in statistics.Finally,the basic characteristics of the proposed model are illustrated by different scenarios on the IEEE RBTS-BUS6 system.It can not only take into account fault location and fault isolation to enhance user power consumption perception,but also can guide precise investment to improve the operational quality and efficiency of a power company.展开更多
Fault location and isolation in the power distribution system are the core links to ensure the reliability of power supply,and the traditional methods have problems such as insufficient positioning accuracy and slow i...Fault location and isolation in the power distribution system are the core links to ensure the reliability of power supply,and the traditional methods have problems such as insufficient positioning accuracy and slow isolation response in complex power grid structures.The introduction of intelligent sensing technology provides a new path for distribution network fault handling,and with the help of multi-source sensor data collection and deep integration of machine learning algorithms,the goal of accurate capture and rapid research and judgment of fault signals can be achieved.At the fault location level,a technical system including signal feature extraction,type recognition,multi-terminal fusion and single-phase grounding high-sensitivity positioning is constructed,and at the isolation level,adaptive criterion and distributed collaborative isolation scheme are proposed,which combines network reconstruction and multi-level protection coordination to improve power supply reliability.The simulation results show that the proposed method has better positioning accuracy and isolation speed,and has strong practical value in engineering applications.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.51777067).
文摘In feeder automation transformation there are difficulties in equipment and location selection.To help with this,an optimal layout model of feeder automation equipment oriented to the type of fault detection and local action is pro-posed.It analyzes the coordination relationship of the three most common types of automation equipment,i.e.,fault indicator,over-current trip switch and non-voltage trip switch in the fault handling process,and the explicit expres-sions of power outage time caused by a fault on different layouts of the above three types of equipment are given.Given constraints of power supply reliability and the goal of minimizing the sum of equipment-related capital invest-ment and power interruption cost,a mixed-integer quadratic programming model for optimal layout is established,in which the functional failure probability of equipment is linearized using the 3δprinciple in statistics.Finally,the basic characteristics of the proposed model are illustrated by different scenarios on the IEEE RBTS-BUS6 system.It can not only take into account fault location and fault isolation to enhance user power consumption perception,but also can guide precise investment to improve the operational quality and efficiency of a power company.
文摘Fault location and isolation in the power distribution system are the core links to ensure the reliability of power supply,and the traditional methods have problems such as insufficient positioning accuracy and slow isolation response in complex power grid structures.The introduction of intelligent sensing technology provides a new path for distribution network fault handling,and with the help of multi-source sensor data collection and deep integration of machine learning algorithms,the goal of accurate capture and rapid research and judgment of fault signals can be achieved.At the fault location level,a technical system including signal feature extraction,type recognition,multi-terminal fusion and single-phase grounding high-sensitivity positioning is constructed,and at the isolation level,adaptive criterion and distributed collaborative isolation scheme are proposed,which combines network reconstruction and multi-level protection coordination to improve power supply reliability.The simulation results show that the proposed method has better positioning accuracy and isolation speed,and has strong practical value in engineering applications.
