نويد رضائي ده ابادي

In recent years, due to the existence of numerous challenges in traditional power networks, including the long distance between the production and consumption sites and low reliability, the use of microgrids, which are actually low or medium voltage distribution networks, has increased dramatically. Despite the various advantages that microgrids have, their use individually brings various problems such as scalability challenges, geographical limitations, dependence on local resources, grid connection challenges, and limited flexibility in energy management. As a result, to solve and improve the aforementioned problems, a special structure of microgrids called interconnected (multiple) microgrids is used, which, compared to individual structures, provide a more flexible approach to energy management. Recently, the decarbonization of the electric power system has led to significant efforts to design a path towards 100% renewable energy sources. The proposed model proposes a new operational model for the effective participation of interconnected microgrids with 100% renewable energy sources in the exchangeable energy market. The exchangeable energy market enables participants to trade energy among themselves through a trading platform and match buy and sell offers in different time frames. Buyers in this market offer buy rates lower than their grid tariff rate, while sellers offer higher than the prevailing tariff. The novelty of the proposed model mainly relates to the use of exchangeable energy technology to develop a free energy trading environment for microgrids with 100% renewable energy sources as a local energy trading market to create a dynamic energy balance in the system. To capture the uncertainties in the system, a hybrid version of stochastic programming method and information gap decision theory with risk-averse and risk-seeking strategies in a deregulated environment is proposed. The proposed model is eva‎luated by selecting a modified IEEE 14-bus test system. The results show the effectiveness of the proposed model in providing cost savings for microgrids when they simultaneously participate in the exchangeable energy market. The collaborative energy interactions of microgrids in the exchangeable energy market based on the proposed model result in 11% cost savings for them compared to the baseline model.

ريزشبكه هاي چندگانه , بازار انرژي تبادلي , عدم قطعيت , برنامه ريزي تصادفي

multi-microgrids , transactive energy market , uncertainty , stochastic programming

navid rezaee dehabadi

shahram jadid