دانلود ترجمه مقاله تاب آوری شبکه های توزیع با چند ریزشبکه و ذخیره سازهای انرژی سیار

The increase in the number and severity of natural disasters and their significant social and economic effects have led power system operators and planners to pay special attention to enhancing the resilience of electricity distribution systems. Post-event restoration performance plays a critical role in improving the resilience of distribution systems. For this purpose, this paper presents an efficient mixed integer linear programming (MILP) model for improving the resilience of smart distribution networks based on a multi-objective approach. In the proposed framework, the distribution system is partitioned into several microgrids (MGs) using distributed generators (DGs), Energy Storage Systems (ESSs), controllable switches, as well as smart grid technologies, and, simultaneously, the optimal placement of Mobile Energy Storage (MES) units is determined to enhance system resilience. In the first objective function, the total utility functions, and consequently the social welfare of network loads in the restoration process should be maximized. On the other hand, the restoration cost including operational cost of generation units and charging and discharging costs of ESSs and MESs as the second objective function is minimized. The proposed multi-objective model is solved using the ε-constraint method in the GAMS environment based on the CPLEX solver, and the optimal solution is obtained using a fuzzy decision-making procedure. Finally, in order to confirm the effectiveness of the proposed method in improving the resilience of smart distribution systems, the proposed model is successfully examined on the IEEE 33-bus distribution network under two different disaster scenarios. The obtained results indicate that the optimal Pareto point provides a balanced solution with welfare of 245,431.48 and a cost of $333,305, achieving over 99.9% of maximum possible welfare while keeping cost near the minimum.