Study On Fault Diagnosis Of Power System With Wind Power Generator

In recent years, the scale of power system has become bigger and bigger, and theinterconnection between the different regions more closely. Moreover, many kinds of newenergy power generations into the grid, makes the system structure is complex, andincreases the probability of faults in power system. In all kinds of new energy, windenergy as a most potential renewable energy, received extensive attentions all over theworld. The proportion of the installed capacity of wind power generator has increased innew power installed capacity around the world. But the structure and the runningenvironment of wind turbine is complex, result in the wind turbine faults probability ishigh and the difficulty of its maintenance. In the case of a possible accident, the windturbines must be halted immediately and this often cause immense economic loss. Inaddition to this, it will affect the safe and reliable operation of whole power system.Therefore, the fault diagnosis of power system with wind power generator is a veryimportant problem. This paper researches from three aspects on how to solve the faultdiagnosis problem of power system with wind power generator.The fault mathematical model of the transmission of wind energy conversion systemis established, and adaptive fault diagnosis observer is constructed in the presence ofunknown disturbance, it can detect and estimate the faults of the system. Then, based onfault diagnosis observer, a tolerant controller is designed to ensure the stability of thetransmission and reliable operation of wind energy conversion system with faults. Thesimulation results of different fault types of main transmission chain show theeffectiveness and feasibility of the adaptive fault diagnosis methods.The permanent magnet synchronous generator is investigated, and its chaos model isestablished under two-phase synchronous rotating coordinate axes. And prove that it occurchaos phenomena when the model parameters are in some certain range and runningconditions. Then, an uncertain model of permanent magnet synchronous generator isestablished, and a fault observer is designed. When fault occurred, the fault observe canestimate the fault quickly and accurately. The simulation results show that the fault observe based on linear matrix inequality approach can diagnosis the fault rapidly andaccurately.Considering about the fault diagnosis problem of power system, a completelyanalytical model is used to identify the possible fault elements of blackout area. Based onthe analysis of the alarm information of protective relays and circuit breakers, and inaccordance with the action principle of the protective relays and circuit breakers andthe logical relationship between them, a complete analytical model is established.And a kind of ant colony genetic optimization algorithm is proposed, the fast globalsearching of genetic algorithm and the positive feedback of ant colony algorithm areused in it.With this algorithm, the time of solving is shortened and the solution accuracyis improved. By simulation, the results show the effectiveness and feasibility of the antcolony genetic optimization algorithm to solve the problem of fault diagnosis of powersystem.