Distribution network short term scheduling in Smart Grid context

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.

Assistência e apoio no Gabinete de Relações Internacionais Universidade CEU San Pablo, Madrid

O presente relatório foca-se na descrição do estágio realizado no Gabinete de Relações Internacionais na Universidad CEU San Pablo em Madrid no âmbito do mestrado em Empreendedorismo e Internacionalização. A primeira parte do relatório visa uma análise geral do Processo de Bolonha, dando especial atenção ao programa Erasmus. Depois disto, consta a descrição das tarefas realizadas durante o estágio internacional. Por último, irá encontrar-se a apreciação final deste trabalho e do estágio.