Cluster Description Model for Intelligent Electricity Networks

Abstract

A development trend in electrical power engineering is the Smart Grid. Current climatic changes are driving the conversion of the production of electricity to clean energy sources forward. This leads to an increasing share of decentralised power generation by means of renewable energies within the electrical energy supply. This results in fundamental changes in the power supply structure and herewith to new challenges for the operation of the power grid. Particularly, distribution system operators (DSO) need new technologies to ensure the stability of the power system. A practical solution is the Clustering Power System Approach (CPSA) for the structuring of electrical networks, which enables an innovative and reasonable decentralisation of future-oriented energy systems. This approach aims to stabilise the energy system from decentralised generation units in distribution up to transmission network level. However, in order to enable a structured further development of such decentralised and intelligent power grids, an evolutionary development process must be supported. The use of the Embedded Smart Grid Cluster Controller (SGCC) to build a decentralised power supply control requires solutions to build the required software in a flexible way. This publication proposes a Cluster Description Model to support a structured development of virtualised SGCC software components.