Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1366
Título: Distribution network short term scheduling in Smart Grid context
Autor: Silva, Marco
Morais, H.
Vale, Zita
Palavras-chave: Energy resources scheduling
Genetic algorithm
Mixed integer non-linear programming
Data: 2011
Editora: IEEE
Resumo: The large increase of Distributed Generation (DG) in Power Systems (PS) and specially in distribution networks makes the management of distribution generation resources an increasingly important issue. Beyond DG, other resources such as storage systems and demand response must be managed in order to obtain more efficient and “green” operation of PS. More players, such as aggregators or Virtual Power Players (VPP), that operate these kinds of resources will be appearing. This paper proposes a new methodology to solve the distribution network short term scheduling problem in the Smart Grid context. This methodology is based on a Genetic Algorithms (GA) approach for energy resource scheduling optimization and on PSCAD software to obtain realistic results for power system simulation. The paper includes a case study with 99 distributed generators, 208 loads and 27 storage units. The GA results for the determination of the economic dispatch considering the generation forecast, storage management and load curtailment in each period (one hour) are compared with the ones obtained with a Mixed Integer Non-Linear Programming (MINLP) approach.
URI: http://hdl.handle.net/10400.22/1366
ISBN: 978-1-4577-1000-1
ISSN: 1944-9925
Versão do Editor: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6038900
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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