چكيده به لاتين
Electric smart distribution grids constitue a road map for todays grids. Enabling this future grids requires new technologies and solutions in terms of system operation and planning. Energy Storage Systems (ESSs) are one of the promising technologies that can support the implementation of smart grids thank to distinguished features especially the ability to facilitate the integration of high penetration levels of renewable energy sources and energy management applications. Besides numerous applications and benefits, the ESSs are characterized by high investment costs compared to the other network equipment. Optimal ESS planning in distribution networks has the potential to justify high investment costs by extracting various complementary applications as much as possible. In this context, this thesis is to determine optimal size, site, and technology of ESSs in distribution networks by an evolutionary algorithm, namely Genetic Algorithm (GA). The objective function of the problem is formulated to consider arbitrage benefit maximization, deferring network investment plans, loss reduction, and also interruption cost reduction. Also, the load shedding is toke into account as a solution in optimal island operation mode. The simulations results show the accuracy as well as functionality of the proposed method.
