抄録
The problem of recovery from power-system failures is the problem of handling operations that make it possible to supply power from other lines in response to power-system failures or construction by switching between the opened and closed states of sectionalizing switches. Considerable research has already been conducted with regard to this issue. This paper addresses the issue of determining target systems for final recovery in cases when some sections remain subject to power failure (i.e., sound bank capacity < load capacity). For this purpose, this paper proposes the study of Genetic Algorithm (GA) that applied multi-objective optimization called Non-dominating Sorting Algorithm GA-II (NSGA II) which able to solve the problem of weighting factor method. Furthermore, from the comparison to other references, the effectiveness of this proposed method with small and large scale network is shown.
