| Abstract |
The development of microgrids improves the effective integration of Distributed Generation (DG),especially Renewable Energy Sources (RES). Due to the intermittency of electricity production fromrenewable energies such as solar or wind, Energy Storage System (ESS) is important to achieve higherflexibility and reliability of network. The massive development of smart grid should take intoconsideration the following issues such as modeling, monitoring and management. This paper presentsthe microgrid modelling which is used to manage it optimally. This microgrid consists of distributedgeneration, storage system, loads, communication and control system. The proposed microgridmanagement strategies to minimize operating cost are based on a Dynamic Programming (DP)algorithm. They are implemented with a load control scheduling for controllable loads such as theElectric Vehicle (EV) charging. The developed DP algorithm generates a two-days microgrid controlscheduling to optimize an objective function. The control parameters are the battery power and theactivation of the controllable loads considering their constraints. In the first part, we detail ourexperimental microgrid named 'Rivesaltes-Grid'. In the second part, we focus on the models of themicrogrid components: PV array, Lithium Battery, Electric Vehicle and Loads. In the third part, wepresent our first management strategies based on DP. Finally, we conclude and present the futureperspectives. |
