As the main building block of the smart grid systems, microgrid (MG) integrates a number of local distributed generation units, energy storage systems, and local loads to form a small-scale, low- and medium-voltage level power system. In gen- eral,
This book studies the distributed control of microgrids. Microgrids are small-scale power networks that are exploited to supply local loads in small geographical spans. Microgrids have various applications such as remote villages, hospitals, univers
This paper presents an improved reinforcement learning method to minimize electricity costs on the premise of satisfying the power balance and generation limit of units in a microgrid with grid- connected mode. Firstly, the microgrid control requirem
A hybrid harmony search algorithm with differential evolution for day-ahead scheduling problem of a microgrid with consideration of power flow constraints
