Conclusion
In this paper, the two stage stochastic distribution system planning problem is solved for enhancing resilience by using a new index based on social welfare. The new resilience index is used in an attempt to maximize the accessibility of loads to power and water in a minimum time after natural disasters. The water network is modeled with EPANET that calculates the node’s water pressure in different operations of water pumps. The best strategies for increasing resilience were chosen with genetic algorithm according to the budget in the higher stage of the problem based on an index considering both resilience improvement and cost. In the lower stage of the problem, the restoration problem for each scenario is solved by maximizing social welfare until full restoration with a new proposed approach which is a modification of the method presented in [30]. The proposed approach can find the restoration plan with checking fewer switch states compared to [30]. The new proposed model for distribution system resilience planning is studied with two cases in this paper. In the first case, the mentioned problem is solved for category 1 and 4 hurricanes to find the best first four strategies to enhance resilience. Upgrading the tie line manual switches to remote controlled switches and hardening lines (1-2) and (2-3) are important strategies in each of the categories. Unlike category 1, in category 4, the dependency of water network on the power network is significant and the nodes including water pump equipped with DGs. The DG placement strategies has more impact in resilience improvement in category 4 of hurricane compared to category 1 of hurricane. In the other case, distribution system resilience planning was solved with determined hurricane categories considering the probability of occurrence.
