The authors have proposed the Flexible, Reliable and Intelligent ENergy Delivery System (FRIENDS) as a concept of future electric power systems. The concept of FRIENDS takes into account the deregulation of the electric power industry and progress of technologies such as power electronics, distributed generators (DG), distributed energy storage systems (ESS), information and communication. One of the most important characteristics of FRIENDS is that new facilities called Quality Control Centers (QCC) are installed between distribution systems and electric consumers. This paper presents a methodology for DSM based on a real-time pricing system through the information and communication network in FRIENDS. The economic use of DG and ESS in QCC is also considered in the proposed DSM. The sigmoid logistic function is used for modeling the real-time pricing system and a couple of parameters in the function are optimized by the Genetic Algorithm so that the profit of QCC is maximized. The effectiveness of the proposed DSM is ascertained by evaluating the profit or the load factor of QCC through simulations using model systems.
FRIENDS DSM