Cognitive engineering studies of DSS and dealing with uncertainty in load for real-time adaptive power system reconfiguration

Abstract

The quality of a decision made by human operators in a real-time reconfiguration of the power system can be improved by providing him/her with a decision support system (DSS). This paper discusses the quantitative cognitive engineering of a decision support system to improve the situational awareness of the operator working in a real-time environment. The quality of decision results in reconfiguration of a power system network is compared with and without the decision support system. Within the reconfiguration activities, lack of awareness of the uncertainty present in load data will restrict the reconfiguration algorithm to give a new optimized power system topology. Uncertainty due to faulty metering is duly analyzed and a fuzzy based approach of dealing with uncertainty is explained.