Multi-criterion management of AMI residual subscribers in power shortages

This paper publishes results of a recent study to design a software module to be implemented in dispatch centers of electric utilities which is capable of controlling certain aspects of power shortage among AMI residential subscribers. It proposes a new algorithm for modeling and managing of AMI subscribers during outage planning. In this study, a new index named consumption pattern merit is defined to evaluate each subscriber demand behavior toward economic and technical performance of grid demand to encourage the subscriber to modify its load profile for avoiding formation of peak and valleys in grid demand profile. Next, three indices such as social welfare, outage cost and consumption pattern merit are extracted and transformed to be handled simultaneously according to utility's interests during power shortages. The algorithm adopted Particle Swarm Optimization to solve outage planning problem for two simulation scenarios of an artificial subscriber population.