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Study On Network Topology Reconfiguration Of Large Shipboard Power System

Posted on:2008-01-15Degree:MasterType:Thesis
Country:ChinaCandidate:H X FuFull Text:PDF
GTID:2178360215958337Subject:Control theory and control engineering
Abstract/Summary:
Reconfiguration of the electrical network in a shipboard power system is an important activity, which is required to be done either to restore service to a section or to meet operational requirements of the ship, is one of the most important methods to restore power supply and improve survivability.In this paper, the problems involved in SPS reconfiguration, such as network topology expression and network analysis, fault tracing and handling, reconfiguration algorithm, are all studied in detail.Based on analyzing the characteristics of the large SPS, adopt the expanded associated matrix, carries on the on-line direct and natural method analysis. The expanded associated matrix is presented to identify the network topological structure, which expands the associated matrix by using nodes and branches in term of their power supply connection. At the same time, the improved node voltage method, a practical system calculation method with the ability of topology identification is used, and the accuracy of the method is verified by tests and simulations.Using the expanded associated matrix representing the network topological structure to trace the fault network and handle. By combining the topology expression of fault network with the power flow calculation, a simple calculation method of the fault system is obtained, Studied a new fault trace and processing method, utilized the database real-time reflection fault situation, carried on the fault localization to extract, accelerate the fault tracing and its validity is tested by examples.The superiority of the genetic algorithm(GA) to solve the service restoration problem is analyzed. To deal with the defects of simple GA and its application in restoration, a improved genetic algorithm is presented, which makes full use of object characteristic and the information of the system and evolutionary process. The results of simulation tests on optimization problems show that the improved GA increase the convergence speed and avoid the premature convergence.Based on the network topology tracing result after the faults, the improved GA are applied to solving the reconfiguration problem. The individuals of GA are mapped into different network topological structures and the expanded associated matrixes are created, and then, the restoration judgement is made by using the fault system calculation method. Simulation and testing results demonstrate the feasibility and accuracy of all the restoration methods which are combined with the operation on the system. Thus, the system can guarantee the service restoration of the most important loads and restore each grade load maximumly.
Keywords/Search Tags:shipboard power system, fault tracing, improved genetic algorithm, network reconfiguration
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