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Multiobjective optimization in congestion management considering technical and economic aspects

 
: Mende, D.; Stock, D.S.; Hennig, T.; Löwer, L.; Hofmann, L.

:

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society; Institute of Electrical and Electronics Engineers -IEEE-, Power & Energy Society -PES-:
IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2016 : October 25-28, 2016, Xi'an, China
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-5418-3
ISBN: 978-1-5090-5419-0
pp.1061-1066
Asia-Pacific Power and Energy Engineering Conference (APPEEC) <2016, Xi'an>
English
Conference Paper
Fraunhofer IWES ()
congestion management; economical optimization; multiobjective optimization; Redispatch; technical optimization

Abstract
The article at hand gives an overview of a newly developed method and tool to flexibly and efficiently remediate different kinds of congestion in the power grid. The presented approach consists of three main steps: Building the network model, identifying the technical factors influencing the congestion, formulating and solving an optimization problem to remediate the congestion by changing the active power set points of power plants. Within the optimization approaches for technically and economically optimized redispatch are presented. The paper focuses on the development of a solution considering both, technical and economic, objectives to find an optimized solution. The problem formulation is explained, implemented and finally tested in a study case using the well-known IEEE 39 bus system. Results expose the special characteristics of the different obtained optimizations. Especially the implemented normalization approach combining technical and economic aspects shows promising results with low costs and a low amount of redispatched power as well.

: http://publica.fraunhofer.de/documents/N-434907.html