Multiobjective optimization for hybrid AC/DC distribution network structure considering reliability

Network structure planning of AC/DC distribution network is a vital task for planners to achieve energy saving, cost reduction, improvement of reliability, etc. Integrated with analysis of uncertainty, this paper proposes a network structure multiobjective optimization planning model to achieve the balance between economic and reliability. Besides satisfying with equal and unequal constraints, the model considers investment capital, operation cost, active network loss and reliability. In optimization methodology, scenarios technique, probability analysis and the modified Non-dominated Sorting Genetic Algorithm (NSGA-II) are employed to improve computation efficiency as well as assure accuracy of results. A modified AC/DC IEEE 33 bus is applied to demonstrate the validity and efficiency of the proposed model. The extensive simulations are conducted in different conditions of systematical parameters. The numerical results are presented and discussed.