Models for Assessing Energy Management Options

This paper develops models for predicting the effects of energy management technologies on two important system attributes-production cost and the load shape seen by central generation. The models can include arbitrary mixes of central generation, dispersed generation, central storage and dispersed storage. Both direct and indirect control strategies for load management can be accommodated. Facilities for including the effects of load rebound-the dynamic response of a load to direct control strategies-are provided. The models are built around a Transportation Algorithm. This makes them efficient enough to use interactively