A mixed logical dynamical model for optimal energy scheduling in microgrids

A typical microgrid consists of local power plants, renewable sources, energy storage systems, loads and communication units. It is designed to be operated autonomously or attached to a main utility grid, recognized as a promising application for energy system integration. This paper studies the optimal energy scheduling problem in microgrids which minimizes the total operational cost, subjecting to a number of operational and technical constraints. The proposed simulation framework is compacted to a mixed logical dynamical system which has advantages in terms of computational efficiency, compared with heuristic-based models. A case study of the optimal scheduling is performed on a centralized microgrid, and result shows the effectiveness of the proposed model in both grid-connected and islanded modes.