| The development and utilization of renewable energy sources (RES), especially wind and solar, has been given important consideration due to the increased consumption of conventional energy resources and enhanced public awareness of the potential impact of conventional energy systems on the environment. However, RES have a random and intermittent nature that affects their reliability in electrical networks.;In the 21st century, the concept of smart grid, which began and formed gradually, has become a promising choice to face future challenges. Self-healing is an important feature of the smart grid. The main task of self-healing control is real-time monitoring of network operation, predicting the state of the power grid, timely detection, rapid diagnosis, and elimination of hidden faults, without human intervention.;The main aim of the thesis is to study the reliability of islanded microgrids under the utilization of smart restoration and ESS to assess the acquired improvements in power grid reliability. Therefore, this thesis implements smart restoration and energy storage units to increase the reliability of a stand-alone microgrid (MG) system. The wind and solar energy resources are considered to be the main energy resources in MG. Two models are implemented to reduce the effects of uncertainty in the wind- and solar-generated power, the ARMA model for wind speed and the triple exponential smoothing model for solar energy prediction. The study was carried out on Roy Billinton test system (RBTS). |
