Optimization of decentralized energy supply systems

The ongoing change from a centralized to a decentralized energy supply with an increasing penetration of new network customers, such as dispersed generation units, electric heating systems and electric vehicles, brings along new challenges for the planning and operation of energy supply systems. Since existing infrastructure, especially the distribution grids, are not designed for a high penetration of the mentioned network customers, an uncontrolled operation would demand high investments for network extensions to prevent an impermissible loading of equipments. Therefore, the question arises if these new customers can be controlled intelligently to prevent network extension and to minimize operational costs at the same time. This paper presents a method that optimizes the operation of energy supply systems based on a detailed model of the new network customers and the distribution grid The functionality of the developed method is demonstrated by investigating a future supply task of realistic complexity.