Title :
Conjoint dynamic aggregation and scheduling methods for dynamic virtual power plants
Author :
Niesse, Astrid ; Beer, Sebastian ; Bremer, Jorg ; Hinrichs, Christian ; Lunsdorf, Ontje ; Sonnenschein, Michael
Author_Institution :
R&D Div. Energy, OFFIS-Inst. for Inf. Technol., Oldenburg, Germany
Abstract :
The increasing pervasion of information and communication technology (ICT) in energy systems allows for the development of new control concepts on all voltage levels. In the distribution grid, this development is accompanied by a still increasing penetration with distributed energy resources like photovoltaic (PV) plants, wind turbines or small scale combined heat and power (CHP) plants. Combined with shiftable loads and electrical storage, these energy units set up a new flexibility potential in the distribution grid that can be tapped with ICT-based control following the long-term goal of substituting conventional power generation. In this contribution, we propose an architectural model and algorithms for the self-organization of these distributed energy units within dynamic virtual power plants (DVPP) along with first results from a feasibility study of the integrated process chain from market-driven DVPP formation to product delivery.
Keywords :
control engineering computing; distributed power generation; power engineering computing; power generation control; power generation scheduling; ICT-based control; architectural model; distributed energy resources; distributed energy units self-organization; distribution grid; dynamic aggregation methods; dynamic virtual power plants; market-driven DVPP formation; scheduling methods; Heat engines; Load flow analysis; Optimization; Schedules; Topology; Agent-Based Control; Self-Organization; Smart Grid; Virtual Power Plant;
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on
Conference_Location :
Warsaw