The clustering algorithm in pattern recognition is applied to classify multi-operating conditions of power system
and a novel design method of power system stabilizers under multi-operating conditions is proposed. The feature vector to measure operating condition consists of the injected power of all nodes or damping ratio of all electromechanical modes. The class number is determined by the basic sequential algorithmic scheme. Hierarchical clustering and C-mean clustering algorithms are applied to obtain the central operating condition. The parameters of power system stabilizers are designed only for each central operating condition. By taking the design problem as a non-smooth optimization problem
the trust-region algorithm is adopted for solution
and the obtained parameters can be applied to the other operating conditions in the same cluster. The simulation results of test systems show that the proposed approach enables to lower the scale of parameter design under multi-operating conditions
remarkably reducing the computational tasks.
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references
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