چكيده به لاتين
Microgrids, are controllable section of each smart grid. A Microgrid can be defined as a part of distribution network which can supply the energy of its local load in connected and islanding mode. Wide usage of technology in Distributed Generators (DGs) and loads, high penetration of DGs, economic ability of DGs, the dynamic of conventional DGs with low inertia and DGs with power electronics interfaces without inertia, smart operation using modern telecommunication infrastructure and smart demand respond. The need for proper planning in order to take advantage of these grids. This thesis focuses on usage of microgrids considering grid security, environment pollution, maximizing energy producers profit and minimizing of expenses. Due to the widespread nature of the subject different condition of operating microgrids are classified in two levels (a microgrid level and its designing in order to controlling of system reliability and centralizing operating level for multi microgrids) is analyzed. Result of each section will be used in higher levels of microgrids central management. At first level optimum design of DGs in order to achieving stabile and reliable state and at third level management of multi microgrids according to real condition of smart distribution networks, in different condition such as network connected mode and complete islanded mode is analyzed. With enough information, duties of operator for integrated management will be covered.
At the secend level studies, for modeling of wind power uncertainties, price of upstream distribution network, power consumption of loads and probability of units outage or disconnecting from upstream distribution network, two methods are used for simulation. According to this method first, for each of the factors of uncertainty mentioned, a probability distribution function is calculated and then by using of these function, different scenarios for the possibility of their occurrence is extracted. By using scenario reduction algorithm In order to reduce simulation time, the scenarios are reduced to Intended number. Due to the high number of calculations and analyzing of some micro grid at the same time, the scenarios number are limited. At last each of these scenario with other inputs will be used in optimizing program for operating of next 24 hours. For this optimization, the objective function are extracted from network manager view and optimized by different algorithm. Proposed methods in treatise are simulated using samples networks and real conditions.
