Combinatorial Cross Entropy Algorithm for Power Networks Fault Diagnosis

By analyzing the principle and character of cross entropy algorithm,a new method of fault diagnosis in power networks by combinatorial cross entropy algorithm is proposed. The power networks fault diagnosis is represented as a0-1 integer programming problem based on the logic relationship among fault elements,action information of protective relays and trip information of circuit breakers,then it gives the optimal solution by combinatorial cross entropy algo-rithm. Fault element can be identified by the optimal solution. Compared with PSO and GA,it is indicated that the proposed method have faster convergence rate,higher steadiness etc. Various fault conditions are simulated in test system. The simulation results demostrate that conclusions obtained by proposed method are correct,which further con-firms that the combinatorial cross entropy can diagnose fault availably,precisely and practicably in power networks.