Mixed-Integer Linear Programming for Decentralized Multi-Carrier Optimal Energy Management of a Micro-Grid

Increasing the load demand and penetration of renewable energy sources (RESs) poses real challenges for optimal management distribution networks. Moreover, considering multi-carrier systems has increased efficiency systems, provides an opportunity using advantages RESs. In this regard, we adopted a new framework based on in micro-grid (MEMG). proposed method, comprehensive MEMG was modeled that benefits from large assortment distributed resources (DERs), such as micro-turbines, fuel cells, wind turbines, storage. Considering many DERs is necessary, because these could cover one another’s disadvantages, which have great impact total cost decrease emission impacts fossil-fuel-based units. Furthermore, waste power plants, inverters, rectifiers, constraints are considered method modeling practical MEMG. Additionally, uncertainty stochastic parameters, model multilayer neural network used paper. The results study indicate decentralized model, along with methods predicting uncertainty, can reduce operational costs micro-grids computational complexity compared centralized programming methods. Finally, equations obtained were evaluated by experiments.