Gerenciamento de Recursos Energéticos Distribuídos em Micro-Redes

  • K. A. Falçoni Faculdade de Engenharia Elétrica, Universidade Federal de Ouro Preto, MG
  • J. C. Galvis Departamento de Engenharia Elétrica, Universidade Federal de Ouro Preto, MG
Keywords: MicroGrids, Distributed Energy Resources, Nonlinear Programming, Linear Programming


Distributed Generation, Energy Storage Systems, Energy Efficiency and Demand Side Management technologies constitute Distributed Energy Resources. With the increasing pres- ence of Distributed Energy Resources technologies within Distribution Systems, management becomes necessary so that costs are minimized and system constraints are maintained. The present work presents the management problem in MicroGrids, which is solved through three different programming techniques, namely: a Non-Linear Programming model, a Linear Pro- gramming model and a Decomposed Linear Programming model. The objective is to minimize the operating costs of a MicroGrid taking into account the costs of distributed generation, the operation of controllable loads, storage systems and the purchase of energy from the main grid, considering the operating constraints of the microgrid. The Non-Linear Programming and Linear Programming models were solved via MATLAB using the fmincon and linprog functions, respectively. The Decomposed Linear Programming model was solved via Script in MATLAB, using the Danzig Wolfe decomposition technique together with the linprog function. The models were tested on a 6 bus system and the results show that the solutions of the three models are similar to each other for operation in connected mode.