Design of a decision fusion rule for power system security assessment

An integrated decision support system is described based on sensor fusion techniques, used for assessing the security of power systems. The integrated decision support system fuses information from various approximated system performance (ASP) models to minimize the risk of making the wrong decision under changing operating conditions. It uses the classification decisions provided by different ASP models together with information about their statistical performance (e.g., probabilities of misclassifications) to synthesize the globally optimal decision in the Bayesian risk sense. This global decision is often superior (and in no case inferior) to the one obtained using any single ASP model. The design of the integrated decision support system is illustrated for detecting static voltage collapse by fusing the security information from a set of existing security indices