Title :
The distributed generator placement and sizing test suite and analysis tool
Author :
Berry, A.M. ; Cornforth, D.J. ; Platt, G.M.
Author_Institution :
Energy Technol. Div., CSIRO, Mayfield West, NSW
Abstract :
The concept of integrating small-scale embedded generators into the distribution system has been gaining increasing traction in the research community and with it has come a growing set of contemporary works from the field of artificial intelligence. Thus far however, the studies have failed to explore a diverse set of problems, lack analytical rigour, offer scant comparison between approaches and often fail to use models based on real-world loads or generators. This work describes the new DG PAST SAT software, which is freely available, open to community input and features a rich repository of distribution system resources and a comprehensive test problem suite. When coupled with included analysis utilities, the DG PAST SAT system provides the tools and data for improved research quality in the distribution system planning phase.
Keywords :
distributed power generation; power distribution planning; power engineering computing; power generation planning; DG PAST SAT software; analysis tool; artificial intelligence; distributed generator placement; distributed generator sizing; distribution system planning; small-scale embedded generators; test suite; Artificial intelligence; Cogeneration; Distributed power generation; Industrial power systems; Power distribution; Power generation; Power system interconnection; Power system planning; Software testing; System testing; Artificial Intelligence; Cogeneration; Industrial Power Systems; Interconnected Power Systems; Power Distribution Planning; Power Generation; Software Tools; Testing;
Conference_Titel :
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-3810-5
Electronic_ISBN :
978-1-4244-3811-2
DOI :
10.1109/PSCE.2009.4839983