مشخصات پژوهش

The sharp fluctuations of load consumption 5 and renewable power generation make significant risks in 6 microgrids (MG) planning problem. In order to handle the 7 risk, this paper proposes an innovative risk-based bilevel 8 model for optimal planning of MGs under uncertainty. Fur9 thermore, two different risk neutral and risk averse strate10 gies are defined for MGs operator to investigate the impact 11 of risk strategies on the MG planning problem. The pro12 posed problem has been formulated as stochastic bilevel 13 model, where the optimal planning of distributed energy 14 resource accomplishes in the upper level and optimum 15 switch allocation problem for partitioning traditional distri16 bution system into a number of MGs carries out in the lower 17 level. The partitioning traditional distribution system into 18 interconnected MGs is implemented considering economic, 19 technical, reliability, andmaximumsupply security aspects. 20 Cuckoo optimization algorithm and imperialist competitive 21 algorithm are applied to minimize the objective functions of 22 upper and lower levels, respectively. The simulation study 23 is performed on the PG&E 69-bus distribution system and 24 the consequent discussions demonstrate the adequacy and 25 efficiency of the proposed methodology.