Energy and reserve scheduling of microgrid using multi-objective optimization

Demand response has become a key feature of the future smart grid. On the other hand, Renewable energy sources, in particular wind and solar power, are becoming significant power generation technologies around the world. However, the intermittency and inherent stochastic nature of renewable resources becomes the major obstacle for reaching a large benefit of them. In this paper, therefore, an operational planning model of a Micro Grid (MG) which considers multiple demand response (DR) programs is proposed. Operation cost and emission are two objectives function in this model that are minimized by epsilon constrain multiobjective optimization. The proposed model has been tested on a typical microgid network over a 24-hour horizon.