Abstract
This letter proposes a new strategy for supply-demand control which coordinates Energy Management System (EMS) and Dynamic Pricing (DP) in distributed energy systems. Genetic Algorithm (GA) is used not only for optimizing EMS which consists of production system, but also for optimizing DP which provides optimal electricity tariffs over time of day. While the proposed strategy for supply-demand control was applied to typical daily operation of a distributed energy system, the improvement of the load factor of a distributed energy system was achieved.