Multi-Objective Operation Planning for a Distribution Network to Improve Economic Parameters and Network Resilience Considering Weather Conditions

The issue of operational planning optimization can be classified into two different groups. The first group includes planning under normal conditions with the aim of improving economic and technical indicators and the second group includes planning under emergency conditions with the aim of improving stability and protection of maximum network loads. Emergencies caused by adverse weather conditions are always one of the challenges of networks. In this paper, optimal operational planning based on weather conditions and probable line outages is presented to ensure the optimal operation of the network in adverse weather conditions in addition to improving network resilience. This was carried out by improving network flexibility, modeling the effects of weather conditions on line outages, and then rescheduling energy sources, energy storages, and reviewing network topology. The objectives of the proposed method defined include minimizing grid operating costs, energy supplly costs, and maximizing the benefit of participation of distributed energy source owners and energy storage by considering weather conditions. To solve the problem, a hybrid optimization algorithm based on genetic algorithm and Epsilon constraint method with fuzzy decision maker was used to select the best solution from Pareto optimal set.