| The distribution network is directly connected to the user side,and its operating status is strongly related to the user ’s electricity experience.With the introduction of the new power system,the structure of the distribution network has become more and more complex.After the distribution network fails,fast and accurate fault location can provide a favorable guarantee for the stable operation of the distribution network.At present,synchronous phasor measurement technology provides high-precision synchronous measurement data for power systems and provides a new research direction for fault location.With the advancement of the new power system,the equipment in the power network has surged,and the traditional cloud computing has been unable to meet the management of these power data.Edge computing performs local computing services at the data source,which greatly reduces the pressure on the cloud.In this context,this paper proposes a fault section location algorithm for distribution network based on cone programming,and develops a synchronous measurement edge computing device to verify the proposed algorithm.The specific work of this paper has two aspects.(1)A distribution network fault location algorithm based on cone programming is proposed.Firstly,the phase angle difference of Clark current at both ends of the fault section is analyzed,and it is verified that the Clark current difference can be used as the fault criterion.Secondly,in order to monitor all sections under limited measurement devices,a section correlation matrix is established,and a criterion is added to establish a Clark current-measurement correlation matrix.Then,in view of the lack of accurate positioning of the Clark current-measurement correlation matrix due to the small number of measurement nodes,a cone programming model is established to minimize the difference between the upper and lower Clark current,and then the model is optimized to achieve accurate positioning of the fault section.Finally,the simulation analysis is carried out with the simple radial single power supply model and the IEEE33 node system distribution network.The simulation results show that the proposed algorithm can accurately locate various fault types and has strong fault tolerance.(2)Developed a synchronous measurement edge computing equipment.Firstly,based on the basic theory of synchronous phasor measurement technology,the related requirements of edge computing in distribution network are analyzed,and the overall scheme of synchronous measurement edge computing equipment is specified for Hailar distribution network in Inner Mongolia.Secondly,the corresponding hardware and software design,such as power management unit,acquisition unit,and main control unit design.Furthermore,a hardware platform was built for testing.Through multiple loopback tests and debugging,a synchronous measurement edge computing device was successfully developed.Then,cooperate with the relevant power departments to place in the designated line.After up to 1 year of testing,the research equipment can identify the fault.Finally,the collected data is used to verify the distribution network fault location algorithm based on cone programming.The results show that the synchronous measurement edge computing equipment can operate stably under extremely cold conditions and realize the edge computing function,which provides a solid foundation for the application of the proposed distribution network fault location algorithm. |
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