Fault Location And Recovery Reconstruction Of Distribution Network For Semi-submersible Drilling Platform

With the rapid development of science and technology,people's demand for energy is getting higher and higher,and countries' energy exploitation has begun to shift from land to sea.Compared with the offshore area,the deep sea area stores more abundant natural gas,oil and gas resources,etc.,and is the main place for future energy exploitation.The semi-submersible drilling platform is one of the important equipments for deep sea energy development.The platform power system has small capacity and is integrated with power supply and distribution.The large equipment investment has a great impact on the power grid;the electrical equipment is dense,and the failure of a single equipment is likely to cause regional failure.There are many types of electrical equipment,frequent changes in working conditions and poor working conditions.Therefore,the requirements for the degree of self-intelligence of the platform distribution network are higher to ensure the safety and stability of the platform during operation.In the process of semi-submersible drilling platform,equipment failure or line failure will inevitably occur.In order to ensure the stable operation of other equipment,this paper mainly studies the fault location and fault recovery and reconstruction of the distribution network.Firstly,the topological structure diagram of the distribution network of the drilling platform is studied.The topological structure of the power grid and its characteristics are analyzed by using the theory of graph theory.The radial topology of the power grid is analyzed,and the requirements of “closed loop design and open loop operation” are met when the grid is running.Secondly,the fault location of semi-submersible drilling platform distribution network is studied.The fault location algorithm based on matrix method is adopted.According to the unique grid structure of the drilling platform,representative nodes are selected for fault analysis to realize fault location of the drilling platform power system..Then,based on the fault location,the convolutional neural network(CNNs)is used to realize the fault phase selection of the drilling platform,and the power system simulation model is built on the PSCAD/ETMC simulation software to respectively short-circuit the single-phase ground,two A total of 10 fault types of phase short circuit,two-phase ground short circuit and three-phase short circuit are simulated,and the correctness of the fault phase selection algorithm is verified based on the simulated data results.Finally,this paper analyzes the topology of the drilling platform distribution network designed by the multi-loop of the four power stations,and proposes a fault recovery reconstruction model.The binary particle swarm optimization algorithm(BPSO)is used to satisfy the structural constraints,capacity constraints and power flow constraints.The optimal reconstruction scheme is obtained with the goal of minimum line loss.For the multi-ring structure of semi-submersible drilling platform,this paper establishes a recovery reconstruction model for common node and source point faults,and models and simulates the reconstruction algorithm in Python environment to verify the correctness of the reconstruction model.