Bus measurements protection against bad data injection in electric power grids

System security indices play a crucial role with regard to monitoring system statues. These indices are derived from system measurements which are prone to either intentional or unintentional noises. To alleviate the effect of intentional noises, it is required to protect measurements data from bad data injection. In this regard, this paper intends to propose an approach to determine priority order of protected bus measurements in order to negate the effects of bad data injection on security indices. With this in mind, two security severity indices, the over loading risk index and the under voltage risk index, are considered. Genetic algorithm serves to find the highest deteriorating effect of bad data injection on security indices. The effectiveness and applicability of the proposed method is examined through applying it to the standard IEEE 30-bus system. The obtained results emphasize the importance of protecting bus measurements against bad data injection.