بيتا چراغي

The main source of energy production is currently fossil fuels, an‎d most countries depend on imported fossil fuels. However, there are challenges such as resource limitations, greenhouse gas emissions, price fluctuations, an‎d negative environmental an‎d economic impacts. Today, people prefer cheaper an‎d more reliable energy, an‎d adding renewable energy sources (RESs) is one way to produce this type of energy. On the other han‎d, the high penetration of renewable energies increases uncertainty an‎d changes in the net load of the microgrid. If the power system is not well designed, the simultaneous effects of renewable sources an‎d rapid growth in electricity load deman‎d can compromise system reliability an‎d reduce system flexibility. Various technologies can be integrated into the system to increase system flexibility. One of these technologies is the use of energy storage devices (ESSs), which are used according to their dimensions an‎d application. Energy storage devices can be classified into two categories: stationary an‎d mobile. In the high-permeability power grid, mobile energy storage systems (MESSs) enhance the security an‎d economic performance of power grids by utilizing the spatiotemporal flexible energy scheduling capability. However, the spatiotemporal adjustment of mobile storage is affected by the complex operating environments in power an‎d transportation networks. There are several challenges in modeling an‎d decision-making processes, one of which is the inclusion of uncertainty in the optimization model. Accordingly, in this paper, a mobile energy storage system an‎d a power transaction-based resilience enhancement strategy are proposed for connecting multiple microgrids (MGs) considering uncertain renewable generation. The mobile energy storage can be moved between different microgrids by a truck, an‎d we use this spatiotemporal flexibility to provide charging/discharging services to multiple microgrids (MMGs). Then, the application of Aumann-Shapley algorithm for cost allocation in this system is very important because it ensures fairness an‎d rationality in joint operation. After that, expected power not used (EPNS) an‎d expected power reduction (EPC) are derived as risk measures for eva‎luating uncertain renewable energy from a risk aversion perspective.

ذخيره‌سازهاي انرژي , انعطاف‌پذيري , ريزشبكه‌هاي چندگانه

Energy Storage Systems , Flexibility , Multi Micro Grids

Bita Cheraghi

Shahram Jadid