Short-term scheduling considering five-minute and hour-ahead energy resource management
Data(s) |
03/05/2013
03/05/2013
2012
11/04/2013
|
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Resumo |
The introduction of new distributed energy resources, based on natural intermittent power sources, in power systems imposes the development of new adequate operation management and control methods. This paper proposes a short-term Energy Resource Management (ERM) methodology performed in two phases. The first one addresses the hour-ahead ERM scheduling and the second one deals with the five-minute ahead ERM scheduling. Both phases consider the day-ahead resource scheduling solution. The ERM scheduling is formulated as an optimization problem that aims to minimize the operation costs from the point of view of a virtual power player that manages the network and the existing resources. The optimization problem is solved by a deterministic mixed-integer non-linear programming approach and by a heuristic approach based on genetic algorithms. A case study considering a distribution network with 33 bus, 66 distributed generation, 32 loads with demand response contracts and 7 storage units has been implemented in a PSCADbased simulator developed in the field of the presented work, in order to validate the proposed short-term ERM methodology considering the dynamic power system behavior. |
Identificador |
DOI 10.1109/PESGM.2012.6345571 978-1-4673-2727-5 |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6345571 |
Direitos |
closedAccess |
Palavras-Chave | #Genetic algorithms #Short-term energy resource management #Smart grid #Virtual power player |
Tipo |
conferenceObject |